@article {49816, title = {Data-Driven Metabolic Pathway Compositions Enhance Cancer Survival Prediction}, journal = {PLOS Computational Biology}, volume = {12}, year = {2016}, month = {Mar-09-2018}, pages = {e1005125}, doi = {10.1371/journal.pcbi.1005125}, url = {http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005125}, author = {Auslander, Noam and Wagner, Allon and Oberhardt, Matthew and Ruppin, Eytan}, editor = {Przytycka, Teresa M.} } @article {49731, title = {Functional Alignment of Metabolic Networks.}, journal = {J Comput Biol}, year = {2016}, month = {2016 Jan 13}, abstract = {

Network alignment has become a standard tool in comparative biology, allowing the inference of protein function, interaction, and orthology. However, current alignment techniques are based on topological properties of networks and do not take into account their functional implications. Here we propose, for the first time, an algorithm to align two metabolic networks by taking advantage of their coupled metabolic models. These models allow us to assess the functional implications of genes or reactions, captured by the metabolic fluxes that are altered following their deletion from the network. Such implications may spread far beyond the region of the network where the gene or reaction lies. We apply our algorithm to align metabolic networks from various organisms, ranging from bacteria to humans, showing that our alignment can reveal functional orthology relations that are missed by conventional topological alignments.

}, issn = {1557-8666}, doi = {10.1089/cmb.2015.0203}, author = {Mazza, Arnon and Wagner, Allon and Ruppin, Eytan and Sharan, Roded} } @article {49791, title = {Individual-specific changes in the human gut microbiota after challenge with enterotoxigenic Escherichia coli and subsequent ciprofloxacin treatment}, journal = {BMC Genomics}, volume = {17183412111831230710512122489914142853341501081566039108377115651846133171373920352123327102188151723}, year = {2016}, month = {Jan-12-2016}, doi = {10.1186/s12864-016-2777-0}, url = {http://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-016-2777-0http://link.springer.com/content/pdf/10.1186/s12864-016-2777-0}, author = {Pop, Mihai and Paulson, Joseph N. and Chakraborty, Subhra and Astrovskaya, Irina and Lindsay, Brianna R. and Li, Shan and Bravo, {\'e}ctor Corrada and Harro, Clayton and Parkhill, Julian and Walker, Alan W. and Walker, Richard I. and Sack, David A. and Stine, O. Colin} } @article {49813, title = {A joint analysis of transcriptomic and metabolomic data uncovers enhanced enzyme-metabolite coupling in breast cancer.}, journal = {Sci Rep}, volume = {6}, year = {2016}, month = {2016 Jul 13}, pages = {29662}, abstract = {

Disrupted regulation of cellular processes is considered one of the hallmarks of cancer. We analyze metabolomic and transcriptomic profiles jointly collected from breast cancer and hepatocellular carcinoma patients to explore the associations between the expression of metabolic enzymes and the levels of the metabolites participating in the reactions they catalyze. Surprisingly, both breast cancer and hepatocellular tumors exhibit an increase in their gene-metabolites associations compared to noncancerous adjacent tissues. Following, we build predictors of metabolite levels from the expression of the enzyme genes catalyzing them. Applying these predictors to a large cohort of breast cancer samples we find that depleted levels of key cancer-related metabolites including glucose, glycine, serine and acetate are significantly associated with improved patient survival. Thus, we show that the levels of a wide range of metabolites in breast cancer can be successfully predicted from the transcriptome, going beyond the limited set of those measured.

}, issn = {2045-2322}, doi = {10.1038/srep29662}, author = {Auslander, Noam and Yizhak, Keren and Weinstock, Adam and Budhu, Anuradha and Tang, Wei and Wang, Xin Wei and Ambs, Stefan and Ruppin, Eytan} } @article {49792, title = {A perspective on 16S rRNA operational taxonomic unit clustering using sequence similarity}, journal = {npj Biofilms and Microbiomes}, volume = {2}, year = {2016}, month = {Aug-04-2017}, pages = {16004}, doi = {10.1038/npjbiofilms.2016.4}, url = {http://www.nature.com/articles/npjbiofilms20164}, author = {Nguyen, Nam-phuong and Warnow, Tandy and Pop, Mihai and White, Bryan} } @article {49815, title = {Positive and strongly relaxed purifying selection drive the evolution of repeats in proteins}, journal = {Nature Communications}, volume = {7}, year = {2016}, month = {Jun-11-2017}, pages = {13570}, doi = {10.1038/ncomms13570}, url = {http://www.nature.com/doifinder/10.1038/ncomms13570}, author = {Persi, Erez and Wolf, Yuri I. and Koonin, Eugene V} } @article {49755, title = {Privacy-Preserving Microbiome Analysis Using Secure Computation}, journal = {Bioinformatics}, year = {2016}, month = {Nov-02-2016}, pages = {btw073}, issn = {1367-4803}, doi = {10.1093/bioinformatics/btw073}, url = {http://bioinformatics.oxfordjournals.org/lookup/doi/10.1093/bioinformatics/btw073}, author = {Wagner, Justin and Paulson, Joseph N. and Wang, Xiao and Bhattacharjee, Bobby and Bravo, {\'e}ctor Corrada} } @article {49812, title = {The Role of Temporal Trends in Growing Networks.}, journal = {PLoS One}, volume = {11}, year = {2016}, month = {2016}, pages = {e0156505}, abstract = {

The rich get richer principle, manifested by the Preferential attachment (PA) mechanism, is widely considered one of the major factors in the growth of real-world networks. PA stipulates that popular nodes are bound to be more attractive than less popular nodes; for example, highly cited papers are more likely to garner further citations. However, it overlooks the transient nature of popularity, which is often governed by trends. Here, we show that in a wide range of real-world networks the recent popularity of a node, i.e., the extent by which it accumulated links recently, significantly influences its attractiveness and ability to accumulate further links. We proceed to model this observation with a natural extension to PA, named Trending Preferential Attachment (TPA), in which edges become less influential as they age. TPA quantitatively parametrizes a fundamental network property, namely the network{\textquoteright}s tendency to trends. Through TPA, we find that real-world networks tend to be moderately to highly trendy. Networks are characterized by different susceptibilities to trends, which determine their structure to a large extent. Trendy networks display complex structural traits, such as modular community structure and degree-assortativity, occurring regularly in real-world networks. In summary, this work addresses an inherent trait of complex networks, which greatly affects their growth and structure, and develops a unified model to address its interaction with preferential attachment.

}, issn = {1932-6203}, doi = {10.1371/journal.pone.0156505}, author = {Mokryn, Osnat and Wagner, Allon and Blattner, Marcel and Ruppin, Eytan and Shavitt, Yuval} } @article {49817, title = {Therapeutic relevance of the protein phosphatase 2A in cancer}, journal = {Oncotarget.com}, year = {2016}, month = {Jul-09-2017}, doi = {10.18632/oncotarget.11399}, url = {https://www.oncotarget.com/article/11399}, author = {Cunningham, Chelsea E. and Li, Shuangshuang and Vizeacoumar, Frederick S. and Bhanumathy, Kalpana Kalyanasundaram and Lee, Joo Sang and Parameswaran, Sreejit and Furber, Levi and Abuhussein, Omar and Paul, James M. and McDonald, Megan and Templeton, Shaina D. and Shukla, Hersh and El Zawily, Amr M. and Boyd, Frederick and Alli, Nezeka and Mousseau, Darrell D. and Geyer, Ron and Bonham, Keith and Anderson, Deborah H. and Yan, Jiong and Yu-Lee, Li-Yuan and Weaver, Beth A. and Uppalapati, Maruti and Ruppin, Eytan and Sablina, Anna and Freywald, Andrew and Vizeacoumar, Franco J.} } @booklet {49615, title = {Algorithms in Bioinformatics: 15th International Workshop, WABI 2015}, howpublished = {Lecture Notes in Bioinformatics}, number = {9289}, year = {2015}, month = {September 2015}, pages = {328}, publisher = {Springer}, isbn = {978-3-662-48220-9}, author = {Pop, Mihai and Touzet, H{\'e}l{\`e}ne}, editor = {Istrail, Sorin and Pevzner, Pavel and Waterman, Michael S} } @conference {49671, title = {Chromatin and genomic determinants of alternative splicing}, booktitle = {BCB {\textquoteright}15 Proceedings of the 6th ACM Conference on Bioinformatics, Computational Biology and Health Informatics }, year = {2015}, month = {09/2015}, publisher = {ACM}, organization = {ACM}, author = {Kun Wang and Kan Cao and Sridhar Hannenhalli} } @article {49733, title = {Drugs that reverse disease transcriptomic signatures are more effective in a mouse model of dyslipidemia.}, journal = {Mol Syst Biol}, volume = {11}, year = {2015}, month = {2015 Mar}, pages = {791}, abstract = {

High-throughput omics have proven invaluable in studying human disease, and yet day-to-day clinical practice still relies on physiological, non-omic markers. The metabolic syndrome, for example, is diagnosed and monitored by blood and urine indices such as blood cholesterol levels. Nevertheless, the association between the molecular and the physiological manifestations of the disease, especially in response to treatment, has not been investigated in a systematic manner. To this end, we studied a mouse model of diet-induced dyslipidemia and atherosclerosis that was subject to various drug treatments relevant to the disease in question. Both physiological data and gene expression data (from the liver and white adipose) were analyzed and compared. We find that treatments that restore gene expression patterns to their norm are associated with the successful restoration of physiological markers to their baselines. This holds in a tissue-specific manner{\textemdash}treatments that reverse the transcriptomic signatures of the disease in a particular tissue are associated with positive physiological effects in that tissue. Further, treatments that introduce large non-restorative gene expression alterations are associated with unfavorable physiological outcomes. These results provide a sound basis to in silico methods that rely on omic metrics for drug repurposing and drug discovery by searching for compounds that reverse a disease{\textquoteright}s omic signatures. Moreover, they highlight the need to develop drugs that restore the global cellular state to its healthy norm rather than rectify particular disease phenotypes.

}, issn = {1744-4292}, author = {Wagner, Allon and Cohen, Noa and Kelder, Thomas and Amit, Uri and Liebman, Elad and Steinberg, David M and Radonjic, Marijana and Ruppin, Eytan} } @book {49762, title = {Encyclopedia of MetagenomicsHuman Microbiome, Assembly and Analysis Software, Project}, year = {2015}, pages = {243 - 246}, publisher = {Springer US}, organization = {Springer US}, address = {Boston, MA}, isbn = {978-1-4899-7474-7}, doi = {10.1007/978-1-4899-7475-410.1007/978-1-4899-7475-4_87}, url = {http://link.springer.com/10.1007/978-1-4899-7475-4http://link.springer.com/content/pdf/10.1007/978-1-4899-7475-4http://link.springer.com/10.1007/978-1-4899-7475-4_87http://link.springer.com/content/pdf/10.1007/978-1-4899-7475-4_87}, author = {Pop, Mihai}, editor = {Highlander, Sarah K. and Rodriguez-Valera, Francisco and White, Bryan A.} } @article {49734, title = {Genomic variation. Impact of regulatory variation from RNA to protein.}, journal = {Science}, volume = {347}, year = {2015}, month = {2015 Feb 6}, pages = {664-7}, abstract = {

The phenotypic consequences of expression quantitative trait loci (eQTLs) are presumably due to their effects on protein expression levels. Yet the impact of genetic variation, including eQTLs, on protein levels remains poorly understood. To address this, we mapped genetic variants that are associated with eQTLs, ribosome occupancy (rQTLs), or protein abundance (pQTLs). We found that most QTLs are associated with transcript expression levels, with consequent effects on ribosome and protein levels. However, eQTLs tend to have significantly reduced effect sizes on protein levels, which suggests that their potential impact on downstream phenotypes is often attenuated or buffered. Additionally, we identified a class of cis QTLs that affect protein abundance with little or no effect on messenger RNA or ribosome levels, which suggests that they may arise from differences in posttranslational regulation.

}, keywords = {3{\textquoteright} Flanking Region, 5{\textquoteright} Flanking Region, Cell Line, Exons, Gene Expression Regulation, Genetic Variation, HUMANS, PHENOTYPE, Protein Biosynthesis, Quantitative Trait Loci, Ribosomes, RNA, Messenger, Transcription, Genetic}, issn = {1095-9203}, doi = {10.1126/science.1260793}, author = {Battle, Alexis and Khan, Zia and Wang, Sidney H and Mitrano, Amy and Ford, Michael J and Pritchard, Jonathan K and Gilad, Yoav} } @article {49659, title = {Glutamine synthetase activity fuels nucleotide biosynthesis and supports growth of glutamine-restricted glioblastoma}, journal = {Nature Cell Biology}, volume = {17}, year = {2015}, month = {Nov-11-2016}, pages = {1556 - 1568}, issn = {1465-7392}, doi = {10.1038/ncb3272}, url = {http://www.nature.com/doifinder/10.1038/ncb3272}, author = {Tardito, Saverio and Oudin, {\"\i}s and Ahmed, Shafiq U. and Fack, Fred and Keunen, Olivier and Zheng, Liang and Miletic, Hrvoje and Sakariassen, {\O}ystein and Weinstock, Adam and Wagner, Allon and Lindsay, Susan L. and Hock, Andreas K. and Barnett, Susan C. and Ruppin, Eytan and {\o}rkve, Svein Harald and Lund-Johansen, Morten and Chalmers, Anthony J. and Bjerkvig, Rolf and Niclou, Simone P. and Gottlieb, Eyal} } @article {49540, title = {Impact of regulatory variation from RNA to protein}, volume = {347}, year = {2015}, month = {Jun-02-2015}, pages = {664 - 667}, issn = {0036-8075}, doi = {10.1126/science.1260793}, url = {http://www.sciencemag.org/cgi/doi/10.1126/science.1260793}, author = {Battle, A. and Khan, Z. and Wang, S. H. and Mitrano, A. and Ford, M. J. and Pritchard, J. K. and Gilad, Y.} } @article {49512, title = {Independent Emergence of Artemisinin Resistance Mutations Among Plasmodium falciparum in Southeast Asia}, journal = {Journal of Infectious Diseases}, volume = {211}, year = {2015}, month = {03/2015}, pages = {670 - 679}, issn = {1537-6613}, doi = {10.1093/infdis/jiu491}, author = {Takala-Harrison, S. and Jacob, C. G. and Arze, C. and Michael P. Cummings and Silva, J. C. and Dondorp, A. M. and Fukuda, M. M. and Hien, T. T. and Mayxay, M. and Noedl, H. and Nosten, F. and Kyaw, M. P. and Nhien, N. T. T. and Imwong, M. and Bethell, D. and Se, Y. and Lon, C. and Tyner, S. D. and Saunders, D. L. and Ariey, F. and Mercereau-Puijalon, O. and Menard, D. and Newton, P. N. and Khanthavong, M. and Hongvanthong, B. and Starzengruber, P. and Fuehrer, H.-P. and Swoboda, P. and Khan, W. A. and Phyo, A. P. and Nyunt, M. M. and Nyunt, M. H. and Brown, T. S. and Adams, M. and Pepin, C. S. and Bailey, J. and Tan, J. C. and Ferdig, M. T. and Clark, T. G. and Miotto, O. and MacInnis, B. and Kwiatkowski, D. P. and White, N. J. and Ringwald, P. and Plowe, CV} } @article {49612, title = {Microbiota that affect risk for shigellosis in children in low-income countries}, journal = {Emerg Infect DisEmerg Infect Dis}, volume = {21}, number = {2}, year = {2015}, note = {Lindsay, Brianna
Oundo, Joe
Hossain, M Anowar
Antonio, Martin
Tamboura, Boubou
Walker, Alan W
Paulson, Joseph N
Parkhill, Julian
Omore, Richard
Faruque, Abu S G
Das, Suman Kumar
Ikumapayi, Usman N
Adeyemi, Mitchell
Sanogo, Doh
Saha, Debasish
Sow, Samba
Farag, Tamer H
Nasrin, Dilruba
Li, Shan
Panchalingam, Sandra
Levine, Myron M
Kotloff, Karen
Magder, Laurence S
Hungerford, Laura
Sommerfelt, Halvor
Pop, Mihai
Nataro, James P
Stine, O Colin
U19 090873/PHS HHS/United States
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov{\textquoteright}t
Research Support, U.S. Gov{\textquoteright}t, Non-P.H.S.
United States
Emerg Infect Dis. 2015 Feb;21(2):242-50. doi: 10.3201/eid2101.140795.}, month = {Feb}, pages = {242-50}, edition = {2015/01/28}, abstract = {Pathogens in the gastrointestinal tract exist within a vast population of microbes. We examined associations between pathogens and composition of gut microbiota as they relate to Shigella spp./enteroinvasive Escherichia coli infection. We analyzed 3,035 stool specimens (1,735 nondiarrheal and 1,300 moderate-to-severe diarrheal) from the Global Enteric Multicenter Study for 9 enteropathogens. Diarrheal specimens had a higher number of enteropathogens (diarrheal mean 1.4, nondiarrheal mean 0.95; p<0.0001). Rotavirus showed a negative association with Shigella spp. in cases of diarrhea (odds ratio 0.31, 95\% CI 0.17-0.55) and had a large combined effect on moderate-to-severe diarrhea (odds ratio 29, 95\% CI 3.8-220). In 4 Lactobacillus taxa identified by 16S rRNA gene sequencing, the association between pathogen and disease was decreased, which is consistent with the possibility that Lactobacillus spp. are protective against Shigella spp.-induced diarrhea. Bacterial diversity of gut microbiota was associated with diarrhea status, not high levels of the Shigella spp. ipaH gene.}, isbn = {1080-6059 (Electronic)
1080-6040 (Linking)}, author = {Lindsay, B. and Oundo, J. and Hossain, M. A. and Antonio, M. and Tamboura, B. and Walker, A. W. and Paulson, J. N. and Parkhill, J. and Omore, R. and Faruque, A. S. and Das, S. K. and Ikumapayi, U. N. and Adeyemi, M. and Sanogo, D. and Saha, D. and Sow, S. and Farag, T. H. and Nasrin, D. and Li, S. and Panchalingam, S. and Levine, M. M. and Kotloff, K. and Magder, L. S. and Hungerford, L. and Sommerfelt, H. and Pop, M. and Nataro, J. P. and Stine, O. C.} } @article {49606, title = {Orchestrating high-throughput genomic analysis with Bioconductor.}, volume = {12}, year = {2015}, month = {2015 Feb}, pages = {115-21}, abstract = {

Bioconductor is an open-source, open-development software project for the analysis and comprehension of high-throughput data in genomics and molecular biology. The project aims to enable interdisciplinary research, collaboration and rapid development of scientific software. Based on the statistical programming language R, Bioconductor comprises 934 interoperable packages contributed by a large, diverse community of scientists. Packages cover a range of bioinformatic and statistical applications. They undergo formal initial review and continuous automated testing. We present an overview for prospective users and contributors.

}, keywords = {Computational Biology, Gene Expression Profiling, Genomics, High-Throughput Screening Assays, Programming Languages, software, User-Computer Interface}, issn = {1548-7105}, doi = {10.1038/nmeth.3252}, author = {Huber, Wolfgang and Carey, Vincent J and Gentleman, Robert and Anders, Simon and Carlson, Marc and Carvalho, Benilton S and Bravo, H{\'e}ctor Corrada and Davis, Sean and Gatto, Laurent and Girke, Thomas and Gottardo, Raphael and Hahne, Florian and Hansen, Kasper D and Irizarry, Rafael A and Lawrence, Michael and Love, Michael I and MacDonald, James and Obenchain, Valerie and Ole{\'s}, Andrzej K and Pag{\`e}s, Herv{\'e} and Reyes, Alejandro and Shannon, Paul and Smyth, Gordon K and Tenenbaum, Dan and Waldron, Levi and Morgan, Martin} } @article {49592, title = {Phenotype-Dependent Coexpression Gene Clusters: Application to Normal and Premature Ageing}, volume = {12}, year = {2015}, month = {Jan-01-2015}, pages = {30 - 39}, issn = {1545-5963}, doi = {10.1109/TCBB.2014.2359446}, url = {http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6948331http://xplorestaging.ieee.org/iel7/8857/7035191/06948331.pdf?arnumber=6948331}, author = {Wang, Kun and Das, Avinash and Xiong, Zheng-Mei and Cao, Kan and Hannenhalli, Sridhar} } @article {49754, title = {Privacy-Preserving Microbiome Analysis Using Secure Computation}, year = {2015}, doi = {10.1101/025999}, url = {http://biorxiv.org/lookup/doi/10.1101/025999}, author = {Wagner, Justin and Paulson, Joseph N. and Wang, Xiao-Shun and Bhattacharjee, Bobby and Corrada Bravo, Hector} } @article {49673, title = {Recognizing the 35th anniversary of the proposal that snRNPs are involved in splicing.}, journal = {Mol Biol Cell}, volume = {26}, year = {2015}, month = {2015 Oct 15}, pages = {3557-60}, abstract = {

Thirty-five years ago, as young graduate students, we had the pleasure and privilege of being in Joan Steitz{\textquoteright}s laboratory at a pivotal point in the history of RNA molecular biology. Introns had recently been discovered in the laboratories of Philip Sharp and Richard Roberts, but the machinery for removing them from mRNA precursors was entirely unknown. This Retrospective describes our hypothesis that recently discovered snRNPs functioned in pre-mRNA splicing. The proposal was proven correct, as has Joan{\textquoteright}s intuition that small RNAs provide specificity to RNA processing reactions through base pairing in diverse settings. However, research over the intervening years has revealed that both splice site selection and splicing itself are much more complex and dynamic than we imagined.

}, issn = {1939-4586}, doi = {10.1091/mbc.E14-10-1486}, author = {Mount, Stephen M and Wolin, Sandra L} } @article {49600, title = {Diarrhea in young children from low-income countries leads to large-scale alterations in intestinal microbiota composition.}, volume = {15}, year = {2014}, month = {2014}, pages = {R76}, abstract = {

BACKGROUND: Diarrheal diseases continue to contribute significantly to morbidity and mortality in infants and young children in developing countries. There is an urgent need to better understand the contributions of novel, potentially uncultured, diarrheal pathogens to severe diarrheal disease, as well as distortions in normal gut microbiota composition that might facilitate severe disease.

RESULTS: We use high throughput 16S rRNA gene sequencing to compare fecal microbiota composition in children under five years of age who have been diagnosed with moderate to severe diarrhea (MSD) with the microbiota from diarrhea-free controls. Our study includes 992 children from four low-income countries in West and East Africa, and Southeast Asia. Known pathogens, as well as bacteria currently not considered as important diarrhea-causing pathogens, are positively associated with MSD, and these include Escherichia/Shigella, and Granulicatella species, and Streptococcus mitis/pneumoniae groups. In both cases and controls, there tend to be distinct negative correlations between facultative anaerobic lineages and obligate anaerobic lineages. Overall genus-level microbiota composition exhibit a shift in controls from low to high levels of Prevotella and in MSD cases from high to low levels of Escherichia/Shigella in younger versus older children; however, there was significant variation among many genera by both site and age.

CONCLUSIONS: Our findings expand the current understanding of microbiota-associated diarrhea pathogenicity in young children from developing countries. Our findings are necessarily based on correlative analyses and must be further validated through epidemiological and molecular techniques.

}, keywords = {Bangladesh, Base Sequence, Case-Control Studies, Child, Preschool, Diarrhea, Infantile, Dysentery, Feces, Female, Gambia, HUMANS, Infant, Infant, Newborn, Intestines, Kenya, Male, Mali, Microbiota, Molecular Typing, Poverty, RNA, Bacterial, RNA, Ribosomal, 16S}, issn = {1474-760X}, doi = {10.1186/gb-2014-15-6-r76}, author = {Pop, Mihai and Walker, Alan W and Paulson, Joseph and Lindsay, Brianna and Antonio, Martin and Hossain, M Anowar and Oundo, Joseph and Tamboura, Boubou and Mai, Volker and Astrovskaya, Irina and Corrada Bravo, Hector and Rance, Richard and Stares, Mark and Levine, Myron M and Panchalingam, Sandra and Kotloff, Karen and Ikumapayi, Usman N and Ebruke, Chinelo and Adeyemi, Mitchell and Ahmed, Dilruba and Ahmed, Firoz and Alam, Meer Taifur and Amin, Ruhul and Siddiqui, Sabbir and Ochieng, John B and Ouma, Emmanuel and Juma, Jane and Mailu, Euince and Omore, Richard and Morris, J Glenn and Breiman, Robert F and Saha, Debasish and Parkhill, Julian and Nataro, James P and Stine, O Colin} } @article {49588, title = {Maximal Sum of Metabolic Exchange Fluxes Outperforms Biomass Yield as a Predictor of Growth Rate of Microorganisms}, volume = {9}, year = {2014}, month = {Mar-05-2016}, pages = {e98372}, doi = {10.1371/journal.pone.0098372}, url = {http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0098372}, author = {Zarecki, Raphy and Oberhardt, Matthew A. and Yizhak, Keren and Wagner, Allon and Shtifman Segal, Ella and Freilich, Shiri and Henry, Christopher S. and Gophna, Uri and Ruppin, Eytan}, editor = {Fong, Stephen S.} } @article {49583, title = {Network-level architecture and the evolutionary potential of underground metabolism}, volume = {111}, year = {2014}, month = {Dec-08-2014}, pages = {11762 - 11767}, issn = {0027-8424}, doi = {10.1073/pnas.1406102111}, url = {http://www.pnas.org/cgi/doi/10.1073/pnas.1406102111}, author = {Notebaart, R. A. and Szappanos, B. and Kintses, B. and Pal, F. and Gyorkei, A. and Bogos, B. and Lazar, V. and Spohn, R. and Bogos, B. and Wagner, A. and Ruppin, E. and Pal, C. and Papp, B.} } @article {49862, title = {A new rhesus macaque assembly and annotation for next-generation sequencing analyses}, journal = {Biology direct}, volume = {9}, year = {2014}, pages = {20}, author = {Zimin, Aleksey V and Cornish, Adam S and Maudhoo, Mnirnal D and Gibbs, Robert M and Zhang, Xiongfei and Pandey, Sanjit and Meehan, Daniel T and Wipfler, Kristin and Bosinger, Steven E and Johnson, Zachary P and Todd Treangen} } @article {49724, title = {Phenotype-based cell-specific metabolic modeling reveals metabolic liabilities of cancer.}, journal = {Elife}, volume = {3}, year = {2014}, month = {2014}, abstract = {

Utilizing molecular data to derive functional physiological models tailored for specific cancer cells can facilitate the use of individually tailored therapies. To this end we present an approach termed PRIME for generating cell-specific genome-scale metabolic models (GSMMs) based on molecular and phenotypic data. We build >280 models of normal and cancer cell-lines that successfully predict metabolic phenotypes in an individual manner. We utilize this set of cell-specific models to predict drug targets that selectively inhibit cancerous but not normal cell proliferation. The top predicted target, MLYCD, is experimentally validated and the metabolic effects of MLYCD depletion investigated. Furthermore, we tested cell-specific predicted responses to the inhibition of metabolic enzymes, and successfully inferred the prognosis of cancer patients based on their PRIME-derived individual GSMMs. These results lay a computational basis and a counterpart experimental proof of concept for future personalized metabolic modeling applications, enhancing the search for novel selective anticancer therapies.

}, keywords = {algorithms, Antineoplastic Agents, Biomarkers, Tumor, Carboxy-Lyases, Cell Line, Tumor, Cell Proliferation, Citric Acid Cycle, Fatty Acids, Gene Knockdown Techniques, Genome, Human, HUMANS, Lymphocytes, Models, Biological, Neoplasms, Oxidation-Reduction, PHENOTYPE, Precision Medicine}, issn = {2050-084X}, doi = {10.7554/eLife.03641}, author = {Yizhak, Keren and Gaude, Edoardo and Le D{\'e}v{\'e}dec, Sylvia and Waldman, Yedael Y and Stein, Gideon Y and van de Water, Bob and Frezza, Christian and Ruppin, Eytan} } @article {49726, title = {Predicting cancer-specific vulnerability via data-driven detection of synthetic lethality.}, journal = {Cell}, volume = {158}, year = {2014}, month = {2014 Aug 28}, pages = {1199-209}, abstract = {

Synthetic lethality occurs when the inhibition of two genes is lethal while the inhibition of each single gene is not. It can be harnessed to selectively treat cancer by identifying inactive genes in a given cancer and targeting their synthetic lethal (SL) partners. We present a data-driven computational pipeline for the genome-wide identification of SL interactions in cancer by analyzing large volumes of cancer genomic data. First, we show that the approach successfully captures known SL partners of tumor suppressors and oncogenes. We then validate SL predictions obtained for the tumor suppressor VHL. Next, we construct a genome-wide network of SL interactions in cancer and demonstrate its value in predicting gene essentiality and clinical prognosis. Finally, we identify synthetic lethality arising from gene overactivation and use it to predict drug efficacy. These results form a computational basis for exploiting synthetic lethality to uncover cancer-specific susceptibilities.

}, keywords = {Breast Neoplasms, Cell Line, Tumor, Computational Biology, Data Mining, Genes, Tumor Suppressor, HUMANS, Neoplasms, Oncogenes, RNA, Small Interfering, workflow}, issn = {1097-4172}, doi = {10.1016/j.cell.2014.07.027}, author = {Jerby-Arnon, Livnat and Pfetzer, Nadja and Waldman, Yedael Y and McGarry, Lynn and James, Daniel and Shanks, Emma and Seashore-Ludlow, Brinton and Weinstock, Adam and Geiger, Tamar and Clemons, Paul A and Gottlieb, Eyal and Ruppin, Eytan} } @article {49735, title = {Quantitative 4D analyses of epithelial folding during Drosophila gastrulation.}, journal = {Development}, volume = {141}, year = {2014}, month = {2014 Jul}, pages = {2895-900}, abstract = {

Understanding the cellular and mechanical processes that underlie the shape changes of individual cells and their collective behaviors in a tissue during dynamic and complex morphogenetic events is currently one of the major frontiers in developmental biology. The advent of high-speed time-lapse microscopy and its use in monitoring the cellular events in fluorescently labeled developing organisms demonstrate tremendous promise in establishing detailed descriptions of these events and could potentially provide a foundation for subsequent hypothesis-driven research strategies. However, obtaining quantitative measurements of dynamic shapes and behaviors of cells and tissues in a rapidly developing metazoan embryo using time-lapse 3D microscopy remains technically challenging, with the main hurdle being the shortage of robust imaging processing and analysis tools. We have developed EDGE4D, a software tool for segmenting and tracking membrane-labeled cells using multi-photon microscopy data. Our results demonstrate that EDGE4D enables quantification of the dynamics of cell shape changes, cell interfaces and neighbor relations at single-cell resolution during a complex epithelial folding event in the early Drosophila embryo. We expect this tool to be broadly useful for the analysis of epithelial cell geometries and movements in a wide variety of developmental contexts.

}, keywords = {Animals, Body Patterning, Cell Shape, Cell Tracking, Drosophila melanogaster, Epithelial Cells, Epithelium, Gastrulation, Image Processing, Computer-Assisted, software}, issn = {1477-9129}, doi = {10.1242/dev.107730}, author = {Khan, Zia and Wang, Yu-Chiun and Wieschaus, Eric F and Kaschube, Matthias} } @article {49608, title = {RNA-sequencing of the brain transcriptome implicates dysregulation of neuroplasticity, circadian rhythms and GTPase binding in bipolar disorder.}, volume = {19}, year = {2014}, month = {2014 Nov}, pages = {1179-85}, abstract = {

RNA-sequencing (RNA-seq) is a powerful technique to investigate the complexity of gene expression in the human brain. We used RNA-seq to survey the brain transcriptome in high-quality postmortem dorsolateral prefrontal cortex from 11 individuals diagnosed with bipolar disorder (BD) and from 11 age- and gender-matched controls. Deep sequencing was performed, with over 350 million reads per specimen. At a false discovery rate of <5\%, we detected five differentially expressed (DE) genes and 12 DE transcripts, most of which have not been previously implicated in BD. Among these, Prominin 1/CD133 and ATP-binding cassette-sub-family G-member2 (ABCG2) have important roles in neuroplasticity. We also show for the first time differential expression of long noncoding RNAs (lncRNAs) in BD. DE transcripts include those of serine/arginine-rich splicing factor 5 (SRSF5) and regulatory factor X4 (RFX4), which along with lncRNAs have a role in mammalian circadian rhythms. The DE genes were significantly enriched for several Gene Ontology categories. Of these, genes involved with GTPase binding were also enriched for BD-associated SNPs from previous genome-wide association studies, suggesting that differential expression of these genes is not simply a consequence of BD or its treatment. Many of these findings were replicated by microarray in an independent sample of 60 cases and controls. These results highlight common pathways for inherited and non-inherited influences on disease risk that may constitute good targets for novel therapies.

}, keywords = {Adult, Aged, Bipolar Disorder, Circadian Rhythm, Female, Genome-Wide Association Study, GTP Phosphohydrolases, HUMANS, Male, Meta-Analysis as Topic, Microarray Analysis, Middle Aged, Neuronal Plasticity, Polymerase Chain Reaction, Prefrontal Cortex, Principal Component Analysis, Sequence Analysis, RNA, Transcriptome, Young Adult}, issn = {1476-5578}, doi = {10.1038/mp.2013.170}, author = {Akula, N and Barb, J and Jiang, X and Wendland, J R and Choi, K H and Sen, S K and Hou, L and Chen, D T W and Laje, G and Johnson, K and Lipska, B K and Kleinman, J E and Corrada-Bravo, H and Detera-Wadleigh, S and Munson, P J and McMahon, F J} } @article {38469, title = {RNA-sequencing of the brain transcriptome implicates dysregulation of neuroplasticity, circadian rhythms and GTPase binding in bipolar disorder}, journal = {Molecular psychiatry}, year = {2014}, note = {http://www.ncbi.nlm.nih.gov/pubmed/24393808?dopt=Abstract}, type = {10.1038/mp.2013.170}, abstract = {RNA-sequencing (RNA-seq) is a powerful technique to investigate the complexity of gene expression in the human brain. We used RNA-seq to survey the brain transcriptome in high-quality postmortem dorsolateral prefrontal cortex from 11 individuals diagnosed with bipolar disorder (BD) and from 11 age- and gender-matched controls. Deep sequencing was performed, with over 350 million reads per specimen. At a false discovery rate of <5\%, we detected five differentially expressed (DE) genes and 12 DE transcripts, most of which have not been previously implicated in BD. Among these, Prominin 1/CD133 and ATP-binding cassette-sub-family G-member2 (ABCG2) have important roles in neuroplasticity. We also show for the first time differential expression of long noncoding RNAs (lncRNAs) in BD. DE transcripts include those of serine/arginine-rich splicing factor 5 (SRSF5) and regulatory factor X4 (RFX4), which along with lncRNAs have a role in mammalian circadian rhythms. The DE genes were significantly enriched for several Gene Ontology categories. Of these, genes involved with GTPase binding were also enriched for BD-associated SNPs from previous genome-wide association studies, suggesting that differential expression of these genes is not simply a consequence of BD or its treatment. Many of these findings were replicated by microarray in an independent sample of 60 cases and controls. These results highlight common pathways for inherited and non-inherited influences on disease risk that may constitute good targets for novel therapies.Molecular Psychiatry advance online publication, 7 January 2014; doi:10.1038/mp.2013.170.}, author = {Akula, N. and Barb, J. and Jiang, X. and Wendland, J. R. and Choi, K. H. and Sen, S. K. and Hou, L. and Chen, D. T. W. and Laje, G. and Johnson, K. and Lipska, B. K. and Kleinman, J. E. and H{\'e}ctor Corrada Bravo and Detera-Wadleigh, S. and Munson, P. J. and McMahon, F. J.} } @article {49614, title = {TIPP:Taxonomic Identification and Phylogenetic Profiling}, journal = {BioinformaticsBioinformatics}, year = {2014}, month = {October 29, 2014}, abstract = {Motivation: Abundance profiling (also called {\textquotedblleft}phylogenetic profiling{\textquotedblright}) is a crucial step in understanding the diversity of a metagenomic sample, and one of the basic techniques used for this is taxonomic identification of the metagenomic reads.Results: We present TIPP (taxon identification and phylogenetic profiling), a new marker-based taxon identification and abundance profiling method. TIPP combines SEPP, a phylogenetic placement method, with statistical techniques to control the classification precision and recall, and results in improved abundance profiles. TIPP is highly accurate even in the presence of high indel errors and novel genomes, and matches or improves on previous approaches, including NBC, mOTU, PhymmBL, MetaPhyler, and MetaPhlAn.Availability: Software and supplementary materials are available at http://www.cs.utexas.edu/users/phylo/software/sepp/tipp-submission/.Contact: warnow@illinois.edu}, author = {Nguyen, Nam-phuong and Mirarab, Siavash and Liu, Bo and Pop, Mihai and Warnow, Tandy} } @article {49739, title = {Distinct Rap1 activity states control the extent of epithelial invagination via α-catenin.}, journal = {Dev Cell}, volume = {25}, year = {2013}, month = {2013 May 13}, pages = {299-309}, abstract = {

Localized cell shape change initiates epithelial folding, while neighboring cell invagination determines the final depth of an epithelial fold. The mechanism that controls the extent of invagination remains unknown. During Drosophila gastrulation, a higher number of cells undergo invagination to form the deep posterior dorsal fold, whereas far fewer cells become incorporated into the initially very similar anterior dorsal fold. We find that a decrease in α-catenin activity causes the anterior fold to invaginate as extensively as the posterior fold. In contrast, constitutive activation of the small GTPase Rap1 restricts invagination of both dorsal folds in an α-catenin-dependent manner. Rap1 activity appears spatially modulated by Rapgap1, whose expression levels are high in the cells that flank the posterior fold but low in the anterior fold. We propose a model whereby distinct activity states of Rap1 modulate α-catenin-dependent coupling between junctions and actin to control the extent of epithelial invagination.

}, keywords = {Actins, alpha Catenin, Animals, Cell Adhesion, Cell Adhesion Molecules, Cell Membrane, Cell Shape, Drosophila, Drosophila Proteins, Embryo, Nonmammalian, Enzyme Activation, Epithelial Cells, Genes, Insect, Green Fluorescent Proteins, GTP Phosphohydrolases, GTPase-Activating Proteins, Intercellular Junctions, RNA Interference, Time factors, Time-Lapse Imaging}, issn = {1878-1551}, doi = {10.1016/j.devcel.2013.04.002}, author = {Wang, Yu-Chiun and Khan, Zia and Wieschaus, Eric F} } @article {49546, title = {Distinct Rap1 Activity States Control the Extent of Epithelial Invagination via α-Catenin}, volume = {25}, year = {2013}, month = {Jan-05-2013}, pages = {299 - 309}, issn = {15345807}, doi = {10.1016/j.devcel.2013.04.002}, url = {http://linkinghub.elsevier.com/retrieve/pii/S1534580713001937http://api.elsevier.com/content/article/PII:S1534580713001937?httpAccept=text/xmlhttp://api.elsevier.com/content/article/PII:S1534580713001937?httpAccept=text/plain}, author = {Wang, Yu-Chiun and Khan, Zia and Wieschaus, ~F.} } @article {38284, title = {Genetic loci associated with delayed clearance of Plasmodium falciparum following artemisinin treatment in Southeast Asia}, journal = {Proceedings of the National Academy of Sciences of the United States of AmericaProceedings of the National Academy of Sciences of the United States of America}, volume = {110}, year = {2013}, type = {10.1073/pnas.1211205110}, abstract = {The recent emergence of artemisinin-resistant Plasmodium falciparum malaria in western Cambodia could threaten prospects for malaria elimination. Identification of the genetic basis of resistance would provide tools for molecular surveillance, aiding efforts to contain resistance. Clinical trials of artesunate efficacy were conducted in Bangladesh, in northwestern Thailand near the Myanmar border, and at two sites in western Cambodia. Parasites collected from trial participants were genotyped at 8,079 single nucleotide polymorphisms (SNPs) using a P. falciparum-specific SNP array. Parasite genotypes were examined for signatures of recent positive selection and association with parasite clearance phenotypes to identify regions of the genome associated with artemisinin resistance. Four SNPs on chromosomes 10 (one), 13 (two), and 14 (one) were significantly associated with delayed parasite clearance. The two SNPs on chromosome 13 are in a region of the genome that appears to be under strong recent positive selection in Cambodia. The SNPs on chromosomes 10 and 13 lie in or near genes involved in postreplication repair, a DNA damage-tolerance pathway. Replication and validation studies are needed to refine the location of loci responsible for artemisinin resistance and to understand the mechanism behind it; however, two SNPs on chromosomes 10 and 13 may be useful markers of delayed parasite clearance in surveillance for artemisinin resistance in Southeast Asia.}, author = {Takala-Harrison, Shannon and Clark, Taane G. and Jacob, Christopher G. and Michael P. Cummings and Miotto, Olivo and Dondorp, Arjen M. and Fukuda, Mark M. and Nosten, Francois and Noedl, Harald and Imwong, Mallika and Bethell, Delia and Se, Youry and Lon, Chanthap and Tyner, Stuart D. and Saunders, David L. and Socheat, Duong and Ariey, Frederic and Phyo, Aung Pyae and Starzengruber, Peter and Fuehrer, Hans-Peter and Swoboda, Paul and Stepniewska, Kasia and Flegg, Jennifer and Arze, Cesar and Cerqueira, Gustavo C. and Silva, Joana C. and Ricklefs, Stacy M. and Porcella, Stephen F. and Stephens, Robert M. and Adams, Matthew and Kenefic, Leo J. and Campino, Susana and Auburn, Sarah and Macinnis, Bronwyn and Kwiatkowski, Dominic P. and Su, Xin-Zhuan and White, Nicholas J. and Ringwald, Pascal and Plowe, Christopher V.} } @conference {38586, title = {Identification of gene clusters with phenotype-dependent expression with application to normal and premature ageing}, booktitle = {Proceedings of the International Conference on Bioinformatics, Computational Biology and Biomedical Informatics}, year = {2013}, pages = {377-383}, publisher = {ACM}, organization = {ACM}, address = {Wshington DC, USA}, author = {Kun Wang and Avinash Das and Zheng-Mei Xiong and Kan Cao and Sridhar Hannenhalli} } @article {38358, title = {A large-scale, higher-level, molecular phylogenetic study of the insect order Lepidoptera (moths and butterflies)}, journal = {PLoS OnePLoS One}, volume = {8}, year = {2013}, type = {10.1371/journal.pone.0058568}, abstract = {

BACKGROUND: Higher-level relationships within the Lepidoptera, and particularly within the species-rich subclade Ditrysia, are generally not well understood, although recent studies have yielded progress. We present the most comprehensive molecular analysis of lepidopteran phylogeny to date, focusing on relationships among superfamilies.

METHODOLOGY PRINCIPAL FINDINGS: 483 taxa spanning 115 of 124 families were sampled for 19 protein-coding nuclear genes, from which maximum likelihood tree estimates and bootstrap percentages were obtained using GARLI. Assessment of heuristic search effectiveness showed that better trees and higher bootstrap percentages probably remain to be discovered even after 1000 or more search replicates, but further search proved impractical even with grid computing. Other analyses explored the effects of sampling nonsynonymous change only versus partitioned and unpartitioned total nucleotide change; deletion of rogue taxa; and compositional heterogeneity. Relationships among the non-ditrysian lineages previously inferred from morphology were largely confirmed, plus some new ones, with strong support. Robust support was also found for divergences among non-apoditrysian lineages of Ditrysia, but only rarely so within Apoditrysia. Paraphyly for Tineoidea is strongly supported by analysis of nonsynonymous-only signal; conflicting, strong support for tineoid monophyly when synonymous signal was added back is shown to result from compositional heterogeneity. CONCLUSIONS SIGNIFICANCE: Support for among-superfamily relationships outside the Apoditrysia is now generally strong. Comparable support is mostly lacking within Apoditrysia, but dramatically increased bootstrap percentages for some nodes after rogue taxon removal, and concordance with other evidence, strongly suggest that our picture of apoditrysian phylogeny is approximately correct. This study highlights the challenge of finding optimal topologies when analyzing hundreds of taxa. It also shows that some nodes get strong support only when analysis is restricted to nonsynonymous change, while total change is necessary for strong support of others. Thus, multiple types of analyses will be necessary to fully resolve lepidopteran phylogeny.

}, keywords = {Animals, Butterflies, Moths, Phylogeny}, author = {Regier, Jerome C. and Mitter, Charles and Zwick, Andreas and Adam L. Bazinet and Michael P. Cummings and Kawahara, Akito Y. and Sohn, Jae-Cheon and Zwickl, Derrick J. and Cho, Soowon and Davis, Donald R. and Baixeras, Joaquin and Brown, John and Parr, Cynthia and Weller, Susan and Lees, David C. and Mitter, Kim T.} } @article {38509, title = {Somatic alterations contributing to metastasis of a castration-resistant prostate cancer}, journal = {Human mutationHuman mutation}, volume = {34}, year = {2013}, note = {http://www.ncbi.nlm.nih.gov/pubmed/23636849?dopt=Abstract}, type = {10.1002/humu.22346}, abstract = {Metastatic castration-resistant prostate cancer (mCRPC) is a lethal disease, and molecular markers that differentiate indolent from aggressive subtypes are needed. We sequenced the exomes of five metastatic tumors and healthy kidney tissue from an index case with mCRPC to identify lesions associated with disease progression and metastasis. An Ashkenazi Jewish (AJ) germline founder mutation, del185AG in BRCA1, was observed and AJ ancestry was confirmed. Sixty-two somatic variants altered proteins in tumors, including cancer-associated genes, TMPRSS2-ERG, PBRM1, and TET2. The majority (n = 53) of somatic variants were present in all metastases and only a subset (n = 31) was observed in the primary tumor. Integrating tumor next-generation sequencing and DNA copy number showed somatic loss of BRCA1 and TMPRSS2-ERG. We sequenced 19 genes with deleterious mutations in the index case in additional mCRPC samples and detected a frameshift, two somatic missense alterations, tumor loss of heterozygosity, and combinations of germline missense SNPs in TET2. In summary, genetic analysis of metastases from an index case permitted us to infer a chronology for the clonal spread of disease based on sequential accrual of somatic lesions. The role of TET2 in mCRPC deserves additional analysis and may define a subset of metastatic disease.}, author = {Nickerson, Michael L. and Im, Kate M. and Misner, Kevin J. and Tan, Wei and Lou, Hong and Gold, Bert and Wells, David W. and H{\'e}ctor Corrada Bravo and Fredrikson, Karin M. and Harkins, Timothy T. and Milos, Patrice and Zbar, Berton and Linehan, W. Marston and Yeager, Meredith and Andresson, Thorkell and Dean, Michael and Bova, G. Steven} } @article {38519, title = {Survey of Culture, GoldenGate Assay, Universal Biosensor Assay, and 16S rRNA Gene Sequencing as Alternative Methods of Bacterial Pathogen Detection}, journal = {Journal of Clinical MicrobiologyJournal of Clinical Microbiology}, volume = {51}, year = {2013}, publisher = {American Society for Microbiology}, isbn = {0095-1137}, author = {Lindsay, Brianna and M. Pop and Antonio, Martin and Walker, Alan W. and Mai, Volker and Ahmed, Dilruba and Oundo, Joseph and Tamboura, Boubou and Panchalingam, Sandra and Levine, Myron M.} } @conference {38585, title = {Topological properties of chromosome conformation graphs reflect spatial proximities within chromatin}, booktitle = {Proceedings of the International Conference on Bioinformatics, Computational Biology and Biomedical Informatics}, year = {2013}, pages = {306-315}, publisher = {ACM}, organization = {ACM}, address = {Wshington DC, USA}, author = {Hao Wang and Geet Duggal and Rob Patro and Michelle Girvan and Sridhar Hannenhalli and Carl Kingsford} } @article {38107, title = {AGORA: Assembly Guided by Optical Restriction Alignment}, journal = {BMC bioinformaticsBMC Bioinformatics}, volume = {13}, year = {2012}, publisher = {BioMed Central Ltd}, author = {Lin, H. C. and Goldstein, S. and L. Mendelowitz and Zhou, S. and Wetzel, J. and Schwartz, D. C. and M. Pop} } @article {49552, title = {Differential positioning of adherens junctions is associated with initiation of epithelial folding}, volume = {484}, year = {2012}, month = {Apr-03-2014}, pages = {390 - 393}, issn = {0028-0836}, doi = {10.1038/nature10938}, url = {http://www.nature.com/doifinder/10.1038/nature10938}, author = {Wang, Yu-Chiun and Khan, Zia and Kaschube, Matthias and Wieschaus, Eric F.} } @article {49742, title = {Differential positioning of adherens junctions is associated with initiation of epithelial folding.}, journal = {Nature}, volume = {484}, year = {2012}, month = {2012 Apr 19}, pages = {390-3}, abstract = {

During tissue morphogenesis, simple epithelial sheets undergo folding to form complex structures. The prevailing model underlying epithelial folding involves cell shape changes driven by myosin-dependent apical constriction. Here we describe an alternative mechanism that requires differential positioning of adherens junctions controlled by modulation of epithelial apical-basal polarity. Using live embryo imaging, we show that before the initiation of dorsal transverse folds during Drosophila gastrulation, adherens junctions shift basally in the initiating cells, but maintain their original subapical positioning in the neighbouring cells. Junctional positioning in the dorsal epithelium depends on the polarity proteins Bazooka and Par-1. In particular, the basal shift that occurs in the initiating cells is associated with a progressive decrease in Par-1 levels. We show that uniform reduction of the activity of Bazooka or Par-1 results in uniform apical or lateral positioning of junctions and in each case dorsal fold initiation is abolished. In addition, an increase in the Bazooka/Par-1 ratio causes formation of ectopic dorsal folds. The basal shift of junctions not only alters the apical shape of the initiating cells, but also forces the lateral membrane of the adjacent cells to bend towards the initiating cells, thereby facilitating tissue deformation. Our data thus establish a direct link between modification of epithelial polarity and initiation of epithelial folding.

}, keywords = {Adherens Junctions, Animals, Cell Polarity, Cell Shape, Choristoma, Drosophila melanogaster, Drosophila Proteins, Epithelial Cells, Epithelium, Gastrula, Gastrulation, Glycogen Synthase Kinase 3, Intracellular Signaling Peptides and Proteins, Protein-Serine-Threonine Kinases}, issn = {1476-4687}, doi = {10.1038/nature10938}, author = {Wang, Yu-Chiun and Khan, Zia and Kaschube, Matthias and Wieschaus, Eric F} } @article {38352, title = {InterPro in 2011: new developments in the family and domain prediction database}, journal = {Nucleic acids researchNucleic Acids Research}, volume = {40}, year = {2012}, note = {http://www.ncbi.nlm.nih.gov/pubmed/22096229?dopt=Abstract}, type = {10.1093/nar/gkr948}, abstract = {InterPro (http://www.ebi.ac.uk/interpro/) is a database that integrates diverse information about protein families, domains and functional sites, and makes it freely available to the public via Web-based interfaces and services. Central to the database are diagnostic models, known as signatures, against which protein sequences can be searched to determine their potential function. InterPro has utility in the large-scale analysis of whole genomes and meta-genomes, as well as in characterizing individual protein sequences. Herein we give an overview of new developments in the database and its associated software since 2009, including updates to database content, curation processes and Web and programmatic interfaces.}, keywords = {Databases, Protein, Protein Structure, Tertiary, Proteins, Sequence Analysis, Protein, software, Terminology as Topic, User-Computer Interface}, author = {Hunter, Sarah and Jones, Philip and Mitchell, Alex and Apweiler, Rolf and Attwood, Teresa K. and Bateman, Alex and Bernard, Thomas and Binns, David and Bork, Peer and Burge, Sarah and de Castro, Edouard and Coggill, Penny and Corbett, Matthew and Das, Ujjwal and Daugherty, Louise and Duquenne, Lauranne and Finn, Robert D. and Fraser, Matthew and Gough, Julian and Haft, Daniel and Hulo, Nicolas and Kahn, Daniel and Kelly, Elizabeth and Letunic, Ivica and Lonsdale, David and Lopez, Rodrigo and Madera, Martin and Maslen, John and McAnulla, Craig and McDowall, Jennifer and McMenamin, Conor and Mi, Huaiyu and Mutowo-Muellenet, Prudence and Mulder, Nicola and Natale, Darren and Orengo, Christine and Pesseat, Sebastien and Punta, Marco and Quinn, Antony F. and Rivoire, Catherine and Sangrador-Vegas, Amaia and J. Selengut and Sigrist, Christian J. A. and Scheremetjew, Maxim and Tate, John and Thimmajanarthanan, Manjulapramila and Thomas, Paul D. and Wu, Cathy H. and Yeats, Corin and Yong, Siew-Yit} } @article {49765, title = {InterPro in 2011: new developments in the family and domain prediction database.}, journal = {Nucleic Acids Res}, volume = {40}, year = {2012}, month = {2012 Jan}, pages = {D306-12}, abstract = {

InterPro (http://www.ebi.ac.uk/interpro/) is a database that integrates diverse information about protein families, domains and functional sites, and makes it freely available to the public via Web-based interfaces and services. Central to the database are diagnostic models, known as signatures, against which protein sequences can be searched to determine their potential function. InterPro has utility in the large-scale analysis of whole genomes and meta-genomes, as well as in characterizing individual protein sequences. Herein we give an overview of new developments in the database and its associated software since 2009, including updates to database content, curation processes and Web and programmatic interfaces.

}, keywords = {Databases, Protein, Protein Structure, Tertiary, Proteins, Sequence Analysis, Protein, software, Terminology as Topic, User-Computer Interface}, issn = {1362-4962}, doi = {10.1093/nar/gkr948}, author = {Hunter, Sarah and Jones, Philip and Mitchell, Alex and Apweiler, Rolf and Attwood, Teresa K and Bateman, Alex and Bernard, Thomas and Binns, David and Bork, Peer and Burge, Sarah and de Castro, Edouard and Coggill, Penny and Corbett, Matthew and Das, Ujjwal and Daugherty, Louise and Duquenne, Lauranne and Finn, Robert D and Fraser, Matthew and Gough, Julian and Haft, Daniel and Hulo, Nicolas and Kahn, Daniel and Kelly, Elizabeth and Letunic, Ivica and Lonsdale, David and Lopez, Rodrigo and Madera, Martin and Maslen, John and McAnulla, Craig and McDowall, Jennifer and McMenamin, Conor and Mi, Huaiyu and Mutowo-Muellenet, Prudence and Mulder, Nicola and Natale, Darren and Orengo, Christine and Pesseat, Sebastien and Punta, Marco and Quinn, Antony F and Rivoire, Catherine and Sangrador-Vegas, Amaia and Selengut, Jeremy D and Sigrist, Christian J A and Scheremetjew, Maxim and Tate, John and Thimmajanarthanan, Manjulapramila and Thomas, Paul D and Wu, Cathy H and Yeats, Corin and Yong, Siew-Yit} } @article {38421, title = {The partitioned LASSO-patternsearch algorithm with application to gene expression data}, journal = {BMC bioinformaticsBMC Bioinformatics}, volume = {13}, year = {2012}, note = {http://www.ncbi.nlm.nih.gov/pubmed/22587526?dopt=Abstract}, type = {10.1186/1471-2105-13-98}, abstract = {BACKGROUND: In systems biology, the task of reverse engineering gene pathways from data has been limited not just by the curse of dimensionality (the interaction space is huge) but also by systematic error in the data. The gene expression barcode reduces spurious association driven by batch effects and probe effects. The binary nature of the resulting expression calls lends itself perfectly to modern regularization approaches that thrive in high-dimensional settings. RESULTS: The Partitioned LASSO-Patternsearch algorithm is proposed to identify patterns of multiple dichotomous risk factors for outcomes of interest in genomic studies. A partitioning scheme is used to identify promising patterns by solving many LASSO-Patternsearch subproblems in parallel. All variables that survive this stage proceed to an aggregation stage where the most significant patterns are identified by solving a reduced LASSO-Patternsearch problem in just these variables. This approach was applied to genetic data sets with expression levels dichotomized by gene expression bar code. Most of the genes and second-order interactions thus selected and are known to be related to the outcomes. CONCLUSIONS: We demonstrate with simulations and data analyses that the proposed method not only selects variables and patterns more accurately, but also provides smaller models with better prediction accuracy, in comparison to several alternative methodologies.}, keywords = {algorithms, Breast Neoplasms, Computer simulation, Female, Gene expression, Gene Expression Profiling, Genomics, HUMANS, Models, Genetic}, author = {Shi, Weiliang and Wahba, Grace and Irizarry, Rafael A. and H{\'e}ctor Corrada Bravo and Wright, Stephen J.} } @article {49531, title = {Plasmodium falciparum merozoite surface protein 1 blocks the proinflammatory protein S100P.}, volume = {109}, year = {2012}, month = {2012 Apr 3}, pages = {5429-34}, abstract = {

The malaria parasite, Plasmodium falciparum, and the human immune system have coevolved to ensure that the parasite is not eliminated and reinfection is not resisted. This relationship is likely mediated through a myriad of host-parasite interactions, although surprisingly few such interactions have been identified. Here we show that the 33-kDa fragment of P. falciparum merozoite surface protein 1 (MSP1(33)), an abundant protein that is shed during red blood cell invasion, binds to the proinflammatory protein, S100P. MSP1(33) blocks S100P-induced NFκB activation in monocytes and chemotaxis in neutrophils. Remarkably, S100P binds to both dimorphic alleles of MSP1, estimated to have diverged >27 Mya, suggesting an ancient, conserved relationship between these parasite and host proteins that may serve to attenuate potentially damaging inflammatory responses.

}, keywords = {Amino Acid Sequence, Animals, Calcium-Binding Proteins, Chromatography, Gel, Electrophoresis, Polyacrylamide Gel, Enzyme-Linked Immunosorbent Assay, HUMANS, Merozoite Surface Protein 1, Microscopy, Confocal, Molecular Sequence Data, Neoplasm Proteins, Plasmodium falciparum, Sequence Homology, Amino Acid, Surface Plasmon Resonance}, issn = {1091-6490}, doi = {10.1073/pnas.1202689109}, author = {Waisberg, Michael and Cerqueira, Gustavo C and Yager, Stephanie B and Francischetti, Ivo M B and Lu, Jinghua and Gera, Nidhi and Srinivasan, Prakash and Miura, Kazutoyo and Rada, Balazs and Lukszo, Jan and Barbian, Kent D and Leto, Thomas L and Porcella, Stephen F and Narum, David L and El-Sayed, Najib and Miller, Louis H and Pierce, Susan K} } @article {38471, title = {Role of Shrimp Chitin in the Ecology of Toxigenic Vibrio cholerae and Cholera Transmission}, journal = {Frontiers in MicrobiologyFront MicrobiolFrontiers in MicrobiologyFront Microbiol}, volume = {2}, year = {2012}, type = {10.3389/fmicb.2011.00260}, abstract = {Seasonal plankton blooms correlate with occurrence of cholera in Bangladesh, although the mechanism of how dormant Vibrio cholerae, enduring interepidemic period in biofilms and plankton, initiates seasonal cholera is not fully understood. In this study, laboratory microcosms prepared with estuarine Mathbaria water (MW) samples supported active growth of toxigenic V. cholerae O1 up to 7 weeks as opposed to 6 months when microcosms were supplemented with dehydrated shrimp chitin chips (CC) as the single source of nutrient. Bacterial counting and detection of wbe and ctxA genes were done employing culture, direct fluorescent antibody (DFA) assay, and multiplex-polymerase chain reaction methods. In MW microcosm, the aqueous phase became clear as the non-culturable cells settled, whereas the aqueous phase of the MW{\textendash}CC microcosm became turbid from bacterial growth stimulated by chitin. Bacterial chitin degradation and biofilm formation proceeded from an initial steady state to a gradually declining bacterial culturable count. V. cholerae within the microenvironments of chitin and chitin-associated biofilms remained metabolically active even in a high acidic environment without losing either viability or virulence. It is concluded that the abundance of chitin that occurs during blooms plays an important role in the aquatic life cycle of V. cholerae and, ultimately, in the seasonal transmission of cholera.}, isbn = {1664-302X}, author = {Nahar, Shamsun and Sultana, Marzia and Naser, M. Niamul and Nair, Gopinath B. and Watanabe, Haruo and Ohnishi, Makoto and Yamamoto, Shouji and Endtz, Hubert and Cravioto, Alejandro and Sack, R. Bradley and Hasan, Nur A. and Sadique, Abdus and Huq, Anwar and Rita R. Colwell and Alam, Munirul} } @article {38526, title = {Temporal and Spatial Variability in the Distribution of Vibrio vulnificus in the Chesapeake Bay: A Hindcast Study}, journal = {EcoHealthEcoHealth}, year = {2012}, type = {10.1007/s10393-011-0736-4}, abstract = {Vibrio vulnificus, an estuarine bacterium, is the causative agent of seafood-related gastroenteritis, primary septicemia, and wound infections worldwide. It occurs as part of the normal microflora of coastal marine environments and can be isolated from water, sediment, and oysters. Hindcast prediction was undertaken to determine spatial and temporal variability in the likelihood of occurrence of V. vulnificus in surface waters of the Chesapeake Bay. Hindcast predictions were achieved by forcing a multivariate habitat suitability model with simulated sea surface temperature and salinity in the Bay for the period between 1991 and 2005 and the potential hotspots of occurrence of V. vulnificus in the Chesapeake Bay were identified. The likelihood of occurrence of V. vulnificus during high and low rainfall years was analyzed. From results of the study, it is concluded that hindcast prediction yields an improved understanding of environmental conditions associated with occurrence of V. vulnificus in the Chesapeake Bay.}, author = {Banakar, V. and Constantin de Magny, G. and Jacobs, J. and Murtugudde, R. and Huq, A. and J. Wood, R. and Rita R. Colwell} } @article {49536, title = {Transcript expression analysis of putative Trypanosoma brucei GPI-anchored surface proteins during development in the tsetse and mammalian hosts.}, volume = {6}, year = {2012}, month = {2012}, pages = {e1708}, abstract = {

Human African Trypanosomiasis is a devastating disease caused by the parasite Trypanosoma brucei. Trypanosomes live extracellularly in both the tsetse fly and the mammal. Trypanosome surface proteins can directly interact with the host environment, allowing parasites to effectively establish and maintain infections. Glycosylphosphatidylinositol (GPI) anchoring is a common posttranslational modification associated with eukaryotic surface proteins. In T. brucei, three GPI-anchored major surface proteins have been identified: variant surface glycoproteins (VSGs), procyclic acidic repetitive protein (PARP or procyclins), and brucei alanine rich proteins (BARP). The objective of this study was to select genes encoding predicted GPI-anchored proteins with unknown function(s) from the T. brucei genome and characterize the expression profile of a subset during cyclical development in the tsetse and mammalian hosts. An initial in silico screen of putative T. brucei proteins by Big PI algorithm identified 163 predicted GPI-anchored proteins, 106 of which had no known functions. Application of a second GPI-anchor prediction algorithm (FragAnchor), signal peptide and trans-membrane domain prediction software resulted in the identification of 25 putative hypothetical proteins. Eighty-one gene products with hypothetical functions were analyzed for stage-regulated expression using semi-quantitative RT-PCR. The expression of most of these genes were found to be upregulated in trypanosomes infecting tsetse salivary gland and proventriculus tissues, and 38\% were specifically expressed only by parasites infecting salivary gland tissues. Transcripts for all of the genes specifically expressed in salivary glands were also detected in mammalian infective metacyclic trypomastigotes, suggesting a possible role for these putative proteins in invasion and/or establishment processes in the mammalian host. These results represent the first large-scale report of the differential expression of unknown genes encoding predicted T. brucei surface proteins during the complete developmental cycle. This knowledge may form the foundation for the development of future novel transmission blocking strategies against metacyclic parasites.

}, keywords = {Animals, Computational Biology, Gastrointestinal Tract, Gene Expression Profiling, GPI-Linked Proteins, HUMANS, Male, Membrane Proteins, Protozoan Proteins, Real-Time Polymerase Chain Reaction, Salivary Glands, Trypanosoma brucei brucei, Trypanosomiasis, African, Tsetse Flies}, issn = {1935-2735}, doi = {10.1371/journal.pntd.0001708}, author = {Savage, Amy F and Cerqueira, Gustavo C and Regmi, Sandesh and Wu, Yineng and El Sayed, Najib M and Aksoy, Serap} } @article {38566, title = {Vibrio Cholerae Classical Biotype Strains Reveal Distinct Signatures in Mexico}, journal = {Journal of Clinical MicrobiologyJ. Clin. Microbiol.Journal of Clinical MicrobiologyJ. Clin. Microbiol.}, year = {2012}, type = {10.1128/JCM.00189-12}, abstract = {Vibrio cholerae O1 Classical (CL) biotype caused the 5th and 6th, and probably the earlier cholera pandemics, before the El Tor (ET) biotype initiated the 7th pandemic in Asia in the 1970{\textquoteright}s by completely displacing the CL biotype. Although the CL biotype was thought to be extinct in Asia, and it had never been reported from Latin America, V. cholerae CL and ET biotypes, including hybrid ET were found associated with endemic cholera in Mexico between 1991 and 1997. In this study, CL biotype strains isolated from endemic cholera in Mexico, between 1983 and 1997 were characterized in terms of major phenotypic and genetic traits, and compared with CL biotype strains isolated in Bangladesh between 1962 and 1989. According to sero- and bio-typing data, all V. cholerae strains tested had the major phenotypic and genotypic characteristics specific for the CL biotype. Antibiograms revealed the majority of the Bangladeshi strains to be resistant to trimethoprim/sulfamethoxazole, furazolidone, ampicillin, and gentamycin, while the Mexican strains were sensitive to all of these drugs, as well as to ciprofloxacin, erythromycin, and tetracycline. Pulsed-field gel electrophoresis (PFGE) of NotI-digested genomic DNA revealed characteristic banding patterns for all the CL biotype strains, although the Mexican strains differed with the Bangladeshi strains in 1-2 DNA bands. The difference may be subtle, but consistent, as confirmed by the sub-clustering patterns in the PFGE-based dendrogram, and can serve as regional signature, suggesting pre-1991 existence and evolution of the CL biotype strains in the Americas, independent from that of Asia.}, isbn = {0095-1137, 1098-660X}, author = {Alam, Munirul and Islam, M. Tarequl and Rashed, Shah Manzur and Johura, Fatema-Tuz and Bhuiyan, Nurul A. and Delgado, Gabriela and Morales, Rosario and Mendez, Jose Luis and Navarro, Armando and Watanabe, Haruo and Hasan, Nur- A. and Rita R. Colwell and Cravioto, Alejandro} } @article {38573, title = {Whole genome analysis of Leptospira licerasiae provides insight into leptospiral evolution and pathogenicity}, journal = {PLoS neglected tropical diseasesPLoS neglected tropical diseases}, volume = {6}, year = {2012}, note = {http://www.ncbi.nlm.nih.gov/pubmed/23145189?dopt=Abstract}, type = {10.1371/journal.pntd.0001853}, abstract = {The whole genome analysis of two strains of the first intermediately pathogenic leptospiral species to be sequenced (Leptospira licerasiae strains VAR010 and MMD0835) provides insight into their pathogenic potential and deepens our understanding of leptospiral evolution. Comparative analysis of eight leptospiral genomes shows the existence of a core leptospiral genome comprising 1547 genes and 452 conserved genes restricted to infectious species (including L. licerasiae) that are likely to be pathogenicity-related. Comparisons of the functional content of the genomes suggests that L. licerasiae retains several proteins related to nitrogen, amino acid and carbohydrate metabolism which might help to explain why these Leptospira grow well in artificial media compared with pathogenic species. L. licerasiae strains VAR010(T) and MMD0835 possess two prophage elements. While one element is circular and shares homology with LE1 of L. biflexa, the second is cryptic and homologous to a previously identified but unnamed region in L. interrogans serovars Copenhageni and Lai. We also report a unique O-antigen locus in L. licerasiae comprised of a 6-gene cluster that is unexpectedly short compared with L. interrogans in which analogous regions may include >90 such genes. Sequence homology searches suggest that these genes were acquired by lateral gene transfer (LGT). Furthermore, seven putative genomic islands ranging in size from 5 to 36 kb are present also suggestive of antecedent LGT. How Leptospira become naturally competent remains to be determined, but considering the phylogenetic origins of the genes comprising the O-antigen cluster and other putative laterally transferred genes, L. licerasiae must be able to exchange genetic material with non-invasive environmental bacteria. The data presented here demonstrate that L. licerasiae is genetically more closely related to pathogenic than to saprophytic Leptospira and provide insight into the genomic bases for its infectiousness and its unique antigenic characteristics.}, keywords = {DNA, Bacterial, Evolution, Molecular, Gene Transfer, Horizontal, Genome, Bacterial, Genomic islands, HUMANS, Leptospira, Molecular Sequence Data, Multigene Family, Prophages, Sequence Analysis, DNA, Virulence factors}, author = {Ricaldi, Jessica N. and Fouts, Derrick E. and J. Selengut and Harkins, Derek M. and Patra, Kailash P. and Moreno, Angelo and Lehmann, Jason S. and Purushe, Janaki and Sanka, Ravi and Torres, Michael and Webster, Nicholas J. and Vinetz, Joseph M. and Matthias, Michael A.} } @article {49776, title = {Whole genome analysis of Leptospira licerasiae provides insight into leptospiral evolution and pathogenicity.}, journal = {PLoS Negl Trop Dis}, volume = {6}, year = {2012}, month = {2012}, pages = {e1853}, abstract = {

The whole genome analysis of two strains of the first intermediately pathogenic leptospiral species to be sequenced (Leptospira licerasiae strains VAR010 and MMD0835) provides insight into their pathogenic potential and deepens our understanding of leptospiral evolution. Comparative analysis of eight leptospiral genomes shows the existence of a core leptospiral genome comprising 1547 genes and 452 conserved genes restricted to infectious species (including L. licerasiae) that are likely to be pathogenicity-related. Comparisons of the functional content of the genomes suggests that L. licerasiae retains several proteins related to nitrogen, amino acid and carbohydrate metabolism which might help to explain why these Leptospira grow well in artificial media compared with pathogenic species. L. licerasiae strains VAR010(T) and MMD0835 possess two prophage elements. While one element is circular and shares homology with LE1 of L. biflexa, the second is cryptic and homologous to a previously identified but unnamed region in L. interrogans serovars Copenhageni and Lai. We also report a unique O-antigen locus in L. licerasiae comprised of a 6-gene cluster that is unexpectedly short compared with L. interrogans in which analogous regions may include >90 such genes. Sequence homology searches suggest that these genes were acquired by lateral gene transfer (LGT). Furthermore, seven putative genomic islands ranging in size from 5 to 36 kb are present also suggestive of antecedent LGT. How Leptospira become naturally competent remains to be determined, but considering the phylogenetic origins of the genes comprising the O-antigen cluster and other putative laterally transferred genes, L. licerasiae must be able to exchange genetic material with non-invasive environmental bacteria. The data presented here demonstrate that L. licerasiae is genetically more closely related to pathogenic than to saprophytic Leptospira and provide insight into the genomic bases for its infectiousness and its unique antigenic characteristics.

}, keywords = {DNA, Bacterial, Evolution, Molecular, Gene Transfer, Horizontal, Genome, Bacterial, Genomic islands, HUMANS, Leptospira, Molecular Sequence Data, Multigene Family, Prophages, Sequence Analysis, DNA, Virulence factors}, issn = {1935-2735}, doi = {10.1371/journal.pntd.0001853}, author = {Ricaldi, Jessica N and Fouts, Derrick E and Selengut, Jeremy D and Harkins, Derek M and Patra, Kailash P and Moreno, Angelo and Lehmann, Jason S and Purushe, Janaki and Sanka, Ravi and Torres, Michael and Webster, Nicholas J and Vinetz, Joseph M and Matthias, Michael A} } @article {38122, title = {Assessing the benefits of using mate-pairs to resolve repeats in de novo short-read prokaryotic assemblies}, journal = {BMC bioinformaticsBMC Bioinformatics}, volume = {12}, year = {2011}, publisher = {BioMed Central Ltd}, author = {Wetzel, J. and Kingsford, Carl and M. Pop} } @article {38125, title = {Bacillus anthracis comparative genome analysis in support of the Amerithrax investigation}, journal = {Proceedings of the National Academy of SciencesProceedings of the National Academy of Sciences}, volume = {108}, year = {2011}, publisher = {National Acad Sciences}, author = {Rasko, D. A. and Worsham, P. L. and Abshire, T. G. and Stanley, S. T. and Bannan, J. D. and Wilson, M. R. and Langham, R. J. and Decker, R. S. and Jiang, L. and Read, T. D. and others,} } @article {38141, title = {Can Deliberately Incomplete Gene Sample Augmentation Improve a Phylogeny Estimate for the Advanced Moths and Butterflies (Hexapoda: Lepidoptera)?}, journal = {Systematic BiologySyst BiolSystematic BiologySyst Biol}, volume = {60}, year = {2011}, type = {10.1093/sysbio/syr079}, abstract = {This paper addresses the question of whether one can economically improve the robustness of a molecular phylogeny estimate by increasing gene sampling in only a subset of taxa, without having the analysis invalidated by artifacts arising from large blocks of missing data. Our case study stems from an ongoing effort to resolve poorly understood deeper relationships in the large clade Ditrysia ( > 150,000 species) of the insect order Lepidoptera (butterflies and moths). Seeking to remedy the overall weak support for deeper divergences in an initial study based on five nuclear genes (6.6 kb) in 123 exemplars, we nearly tripled the total gene sample (to 26 genes, 18.4 kb) but only in a third (41) of the taxa. The resulting partially augmented data matrix (45\% intentionally missing data) consistently increased bootstrap support for groupings previously identified in the five-gene (nearly) complete matrix, while introducing no contradictory groupings of the kind that missing data have been predicted to produce. Our results add to growing evidence that data sets differing substantially in gene and taxon sampling can often be safely and profitably combined. The strongest overall support for nodes above the family level came from including all nucleotide changes, while partitioning sites into sets undergoing mostly nonsynonymous versus mostly synonymous change. In contrast, support for the deepest node for which any persuasive molecular evidence has yet emerged (78{\textendash}85\% bootstrap) was weak or nonexistent unless synonymous change was entirely excluded, a result plausibly attributed to compositional heterogeneity. This node (Gelechioidea + Apoditrysia), tentatively proposed by previous authors on the basis of four morphological synapomorphies, is the first major subset of ditrysian superfamilies to receive strong statistical support in any phylogenetic study. A {\textquotedblleft}more-genes-only{\textquotedblright} data set (41 taxa{\texttimes}26 genes) also gave strong signal for a second deep grouping (Macrolepidoptera) that was obscured, but not strongly contradicted, in more taxon-rich analyses.}, keywords = {Ditrysia, gene sampling, Hexapoda, Lepidoptera, missing data, molecular phylogenetics, nuclear genes, taxon sampling}, isbn = {1063-5157, 1076-836X}, author = {Cho, Soowon and Zwick, Andreas and Regier, Jerome C. and Mitter, Charles and Michael P. Cummings and Yao, Jianxiu and Du, Zaile and Zhao, Hong and Kawahara, Akito Y. and Weller, Susan and Davis, Donald R. and Baixeras, Joaquin and Brown, John W. and Parr, Cynthia} } @article {38151, title = {Clonal transmission, dual peak, and off-season cholera in Bangladesh}, journal = {Infection Ecology \& EpidemiologyInfection Ecology \& Epidemiology}, volume = {1}, year = {2011}, type = {10.3402/iee.v1i0.7273}, author = {Alam, M. and Islam, A. and Bhuiyan, N. A. and Rahim, N. and Hossain, A. and Khan, G. Y. and Ahmed, D. and Watanabe, H. and Izumiya, H. and Faruque, A. S. G. and Rita R. Colwell} } @article {49556, title = {Direct targeting of Sec23a by miR-200s influences cancer cell secretome and promotes metastatic colonization}, volume = {17}, year = {2011}, month = {Jul-08-2011}, pages = {1101 - 1108}, issn = {1078-8956}, doi = {10.1038/nm.2401}, url = {http://www.nature.com/doifinder/10.1038/nm.2401}, author = {Korpal, Manav and Ell, Brian J and Buffa, Francesca M and Ibrahim, Toni and Blanco, Mario A and {\`a}-Terrassa, Toni and Mercatali, Laura and Khan, Zia and Goodarzi, Hani and Hua, Yuling and Wei, Yong and Hu, Guohong and Garcia, Benjamin A and Ragoussis, Jiannis and Amadori, Dino and Harris, Adrian L and Kang, Yibin} } @article {49746, title = {Direct targeting of Sec23a by miR-200s influences cancer cell secretome and promotes metastatic colonization.}, journal = {Nat Med}, volume = {17}, year = {2011}, month = {2011 Sep}, pages = {1101-8}, abstract = {

Although the role of miR-200s in regulating E-cadherin expression and epithelial-to-mesenchymal transition is well established, their influence on metastatic colonization remains controversial. Here we have used clinical and experimental models of breast cancer metastasis to discover a pro-metastatic role of miR-200s that goes beyond their regulation of E-cadherin and epithelial phenotype. Overexpression of miR-200s is associated with increased risk of metastasis in breast cancer and promotes metastatic colonization in mouse models, phenotypes that cannot be recapitulated by E-cadherin expression alone. Genomic and proteomic analyses revealed global shifts in gene expression upon miR-200 overexpression toward that of highly metastatic cells. miR-200s promote metastatic colonization partly through direct targeting of Sec23a, which mediates secretion of metastasis-suppressive proteins, including Igfbp4 and Tinagl1, as validated by functional and clinical correlation studies. Overall, these findings suggest a pleiotropic role of miR-200s in promoting metastatic colonization by influencing E-cadherin-dependent epithelial traits and Sec23a-mediated tumor cell secretome.

}, keywords = {Animals, Cadherins, Cell Line, Tumor, Female, Gene Expression Profiling, Gene Expression Regulation, Neoplastic, HUMANS, Mass Spectrometry, Mice, Mice, Inbred BALB C, Microarray Analysis, MicroRNAs, Neoplasm Metastasis, Statistics, Nonparametric, Vesicular Transport Proteins}, issn = {1546-170X}, doi = {10.1038/nm.2401}, author = {Korpal, Manav and Ell, Brian J and Buffa, Francesca M and Ibrahim, Toni and Blanco, Mario A and Celi{\`a}-Terrassa, Toni and Mercatali, Laura and Khan, Zia and Goodarzi, Hani and Hua, Yuling and Wei, Yong and Hu, Guohong and Garcia, Benjamin A and Ragoussis, Jiannis and Amadori, Dino and Harris, Adrian L and Kang, Yibin} } @article {49829, title = {Effective detection of rare variants in pooled DNA samples using Cross-pool tailcurve analysis}, journal = {Genome Biology}, volume = {12}, year = {2011}, month = {Jan-01-2011}, pages = {R93}, issn = {1465-6906}, doi = {10.1186/gb-2011-12-9-r93}, url = {http://genomebiology.biomedcentral.com/articles/10.1186/gb-2011-12-9-r93}, author = {Niranjan, Tejasvi S and Adamczyk, Abby and Bravo, Hector and Taub, Margaret A and Wheelan, Sarah J and Irizarry, Rafael and Wang, Tao} } @article {38275, title = {Gene Coexpression Network Topology of Cardiac Development, Hypertrophy, and FailureClinical Perspective}, journal = {Circulation: cardiovascular geneticsCirculation: Cardiovascular Genetics}, volume = {4}, year = {2011}, publisher = {Lippincott Williams \& Wilkins}, author = {Dewey, F. E. and Perez, M. V. and Wheeler, M. T. and Watt, C. and Spin, J. and Langfelder, P. and Horvath, S. and Sridhar Hannenhalli and Cappola, T. P. and Ashley, E. A.} } @article {49727, title = {Haem oxygenase is synthetically lethal with the tumour suppressor fumarate hydratase.}, journal = {Nature}, volume = {477}, year = {2011}, month = {2011 Sep 8}, pages = {225-8}, abstract = {

Fumarate hydratase (FH) is an enzyme of the tricarboxylic acid cycle (TCA cycle) that catalyses the hydration of fumarate into malate. Germline mutations of FH are responsible for hereditary leiomyomatosis and renal-cell cancer (HLRCC). It has previously been demonstrated that the absence of FH leads to the accumulation of fumarate, which activates hypoxia-inducible factors (HIFs) at normal oxygen tensions. However, so far no mechanism that explains the ability of cells to survive without a functional TCA cycle has been provided. Here we use newly characterized genetically modified kidney mouse cells in which Fh1 has been deleted, and apply a newly developed computer model of the metabolism of these cells to predict and experimentally validate a linear metabolic pathway beginning with glutamine uptake and ending with bilirubin excretion from Fh1-deficient cells. This pathway, which involves the biosynthesis and degradation of haem, enables Fh1-deficient cells to use the accumulated TCA cycle metabolites and permits partial mitochondrial NADH production. We predicted and confirmed that targeting this pathway would render Fh1-deficient cells non-viable, while sparing wild-type Fh1-containing cells. This work goes beyond identifying a metabolic pathway that is induced in Fh1-deficient cells to demonstrate that inhibition of haem oxygenation is synthetically lethal when combined with Fh1 deficiency, providing a new potential target for treating HLRCC patients.

}, keywords = {Animals, Bilirubin, Cell Line, Cells, Cultured, Citric Acid Cycle, Computer simulation, Fumarate Hydratase, Fumarates, Genes, Lethal, Genes, Tumor Suppressor, Glutamine, Heme, Heme Oxygenase (Decyclizing), Kidney Neoplasms, Leiomyomatosis, Mice, Mitochondria, Mutation, NAD, Neoplastic Syndromes, Hereditary, Skin Neoplasms, Uterine Neoplasms}, issn = {1476-4687}, doi = {10.1038/nature10363}, author = {Frezza, Christian and Zheng, Liang and Folger, Ori and Rajagopalan, Kartik N and MacKenzie, Elaine D and Jerby, Livnat and Micaroni, Massimo and Chaneton, Barbara and Adam, Julie and Hedley, Ann and Kalna, Gabriela and Tomlinson, Ian P M and Pollard, Patrick J and Watson, Dave G and Deberardinis, Ralph J and Shlomi, Tomer and Ruppin, Eytan and Gottlieb, Eyal} } @article {38341, title = {Increased gene sampling provides stronger support for higher-level groups within gracillariid leaf mining moths and relatives (Lepidoptera: Gracillariidae)}, journal = {BMC Evol BiolBMC Evol Biol}, volume = {11:182}, year = {2011}, author = {Kawahara, A. Y. and Ohshima, I. and Kawakita, A. and Regier, J. C. and Mitter, C. and Michael P. Cummings and Davis, D. R. and Wagner, D. L. and De Prinis, J. and Lopez-Vaamonde, C.} } @article {49831, title = {Increased methylation variation in epigenetic domains across cancer types}, journal = {Nature Genetics}, volume = {43}, year = {2011}, month = {Feb-06-2013}, pages = {768 - 775}, issn = {1061-4036}, doi = {10.1038/ng.865}, url = {http://www.nature.com/doifinder/10.1038/ng.865}, author = {Hansen, Kasper Daniel and Timp, Winston and Bravo, H{\'e}ctor Corrada and Sabunciyan, Sarven and Langmead, Benjamin and McDonald, Oliver G and Wen, Bo and Wu, Hao and Liu, Yun and Diep, Dinh and Briem, Eirikur and Zhang, Kun and Irizarry, Rafael A and Feinberg, Andrew P} } @article {38350, title = {Interaction of Vibrio cholerae non-O1/non-O139 with Copepods, Cladocerans and Competing Bacteria in the Large Alkaline Lake Neusiedler See, Austria}, journal = {Microbial ecologyMicrobial ecology}, volume = {61}, year = {2011}, type = {10.1007/s00248-010-9764-9}, abstract = {Vibrio cholerae is a human pathogen and natural inhabitant of aquatic environments. Serogroups O1/O139 have been associated with epidemic cholera, while non-O1/non-O139 serogroups usually cause human disease other than classical cholera. V. cholerae non-O1/non-O139 from the Neusiedler See, a large Central European lake, have caused ear and wound infections, including one case of fatal septicaemia. Recent investigations demonstrated rapid planktonic growth of V. cholerae non-O1/non-O139 and correlation with zooplankton biomass. The aim of this study was to elucidate the interaction of autochthonous V. cholerae with two dominant crustacean zooplankton species in the lake and investigate the influence of the natural bacterial community on this interaction. An existing data set was evaluated for statistical relationships between zooplankton species and V. cholerae and co-culture experiments were performed in the laboratory. A new fluorescence in situ hybridisation protocol was applied for quantification of V. cholerae non-O1/non-O139 cells, which significantly reduced analysis time. The experiments clearly demonstrated a significant relationship of autochthonous V. cholerae non-O1/non-O139 with cladocerans by promoting growth of V. cholerae non-O1/non-O139 in the water and on the surfaces of the cladocerans. In contrast, copepods had a negative effect on the growth of V. cholerae non-O1/non-O139 via competing bacteria from their surfaces. Thus, beside other known factors, biofilm formation by V. cholerae on crustacean zooplankton appears to be zooplankton taxon specific and may be controlled by the natural bacterial community.}, author = {Kirschner, A. K. T. and Schauer, S. and Steinberger, B. and Wilhartitz, I. and Grim, C. J. and Huq, A. and Rita R. Colwell and Herzig, A. and Sommer, R.} } @article {38109, title = {Alignment and clustering of phylogenetic markers - implications for microbial diversity studies}, journal = {BMC BioinformaticsBMC Bioinformatics}, volume = {11}, year = {2010}, type = {10.1186/1471-2105-11-152}, abstract = {Molecular studies of microbial diversity have provided many insights into the bacterial communities inhabiting the human body and the environment. A common first step in such studies is a survey of conserved marker genes (primarily 16S rRNA) to characterize the taxonomic composition and diversity of these communities. To date, however, there exists significant variability in analysis methods employed in these studies.}, isbn = {1471-2105}, author = {White, James R. and Navlakha, Saket and Nagarajan, Niranjan and Ghodsi, Mohammad-Reza and Kingsford, Carl and M. Pop} } @article {49648, title = {The Alveolate Perkinsus marinus: biological insights from EST gene discovery.}, journal = {BMC Genomics}, volume = {11}, year = {2010}, month = {2010}, pages = {228}, abstract = {

BACKGROUND: Perkinsus marinus, a protozoan parasite of the eastern oyster Crassostrea virginica, has devastated natural and farmed oyster populations along the Atlantic and Gulf coasts of the United States. It is classified as a member of the Perkinsozoa, a recently established phylum considered close to the ancestor of ciliates, dinoflagellates, and apicomplexans, and a key taxon for understanding unique adaptations (e.g. parasitism) within the Alveolata. Despite intense parasite pressure, no disease-resistant oysters have been identified and no effective therapies have been developed to date.

RESULTS: To gain insight into the biological basis of the parasite{\textquoteright}s virulence and pathogenesis mechanisms, and to identify genes encoding potential targets for intervention, we generated>31,000 5{\textquoteright} expressed sequence tags (ESTs) derived from four trophozoite libraries generated from two P. marinus strains. Trimming and clustering of the sequence tags yielded 7,863 unique sequences, some of which carry a spliced leader. Similarity searches revealed that 55\% of these had hits in protein sequence databases, of which 1,729 had their best hit with proteins from the chromalveolates (E-value

CONCLUSIONS: Our transcriptome analysis of P. marinus, the first for any member of the Perkinsozoa, contributes new insight into its biology and taxonomic position. It provides a very informative, albeit preliminary, glimpse into the expression of genes encoding functionally relevant proteins as potential targets for chemotherapy, and evidence for the presence of a relict plastid. Further, although P. marinus sequences display significant similarity to those from both apicomplexans and dinoflagellates, the presence of trans-spliced transcripts confirms the previously established affinities with the latter. The EST analysis reported herein, together with the recently completed sequence of the P. marinus genome and the development of transfection methodology, should result in improved intervention strategies against dermo disease.

}, keywords = {Alveolata, Animals, Expressed Sequence Tags, Ostreidae, Phylogeny}, issn = {1471-2164}, doi = {10.1186/1471-2164-11-228}, author = {Joseph, Sandeep J and Fern{\'a}ndez-Robledo, Jos{\'e} A and Gardner, Malcolm J and El-Sayed, Najib M and Kuo, Chih-Horng and Schott, Eric J and Wang, Haiming and Kissinger, Jessica C and Vasta, Gerardo R} } @inbook {38246, title = {Evolutionary framework for Lepidoptera model systems}, booktitle = {Genetics and Molecular Biology of LepidopteraGenetics and Molecular Biology of Lepidoptera}, year = {2010}, publisher = {Taylor \& Francis}, organization = {Taylor \& Francis}, address = {Boca Raton}, abstract = {{\textquotedblleft}Model systems{\textquotedblright} are specific organisms upon which detailed studies have been conducted examining a fundamental biological question. If the studies are robust, their results can be extrapolated among an array of organisms that possess features in common with the subject organism. The true power of model systems lies in the ability to extrapolate these details across larger groups of organisms. In order to generalize these results, comparative studies are essential and require that model systems be placed into their evolutionary or phylogenetic context. This chapter examines model systems in the insect order Lepidoptera from the perspective of several different superfamilies. Historically, many species of Lepidoptera have been essential in the development of invaluable model systems in the fields of development biology, genetics, molecular biology, physiology, co-evolution, population dynamics, and ecology.}, author = {Roe, A. and Weller, S. and Baixeras, J. and Brown, J. W. and Michael P. Cummings and Davis, D. R. and Horak, M. and Kawahara, A. Y. and Mitter, C. and Parr, C. S. and Regier, J. C. and Rubinoff, D. and Simonsen, T. J. and Wahlberg, N. and Zwick, A.}, editor = {Goldsmith, M. and Marec, F.} } @article {38262, title = {Finding Biologically Accurate Clusterings in Hierarchical Tree Decompositions Using the Variation of Information}, journal = {Journal of Computational BiologyJournal of Computational Biology}, volume = {17}, year = {2010}, type = {10.1089/cmb.2009.0173}, abstract = {Hierarchical clustering is a popular method for grouping together similar elements based on a distance measure between them. In many cases, annotations for some elements are known beforehand, which can aid the clustering process. We present a novel approach for decomposing a hierarchical clustering into the clusters that optimally match a set of known annotations, as measured by the variation of information metric. Our approach is general and does not require the user to enter the number of clusters desired. We apply it to two biological domains: finding protein complexes within protein interaction networks and identifying species within metagenomic DNA samples. For these two applications, we test the quality of our clusters by using them to predict complex and species membership, respectively. We find that our approach generally outperforms the commonly used heuristic methods.}, isbn = {1066-5277, 1557-8666}, author = {Navlakha, Saket and White, James and Nagarajan, Niranjan and M. Pop and Kingsford, Carl} } @article {38331, title = {Hopx and Hdac2 Interact to Modulate Gata4 Acetylation and Embryonic Cardiac Myocyte Proliferation}, journal = {Developmental CellDevelopmental Cell}, volume = {19}, year = {2010}, type = {10.1016/j.devcel.2010.08.012}, abstract = {SummaryRegulation of chromatin structure via histone modification has recently received intense attention. Here,~we demonstrate that the chromatin-modifying enzyme histone deacetylase 2 (Hdac2) functions with a small homeodomain factor, Hopx, to mediate deacetylation of Gata4, which is expressed by cardiac progenitor cells and plays critical roles in the regulation of cardiogenesis. In the absence of Hopx and Hdac2 in mouse embryos, Gata4 hyperacetylation is associated with a marked increase in~cardiac myocyte proliferation, upregulation of Gata4 target genes, and perinatal lethality. Hdac2 physically interacts with Gata4, and this interaction is stabilized by Hopx. The ability of Gata4 to transactivate cell cycle genes is impaired by Hopx/Hdac2-mediated deacetylation, and this effect is abrogated by loss of Hdac2-Gata4 interaction. These results suggest that Gata4 is a nonhistone target of Hdac2-mediated deacetylation and that Hdac2, Hopx, and Gata4 coordinately regulate cardiac myocyte proliferation during embryonic development.}, isbn = {1534-5807}, author = {Trivedi, Chinmay M. and Zhu, Wenting and Wang, Qiaohong and Jia, Cheng and Kee, Hae Jin and Li, Li and Sridhar Hannenhalli and Epstein, Jonathan A.} } @article {38335, title = {Identification of Pathogenic Vibrio Species by Multilocus PCR-Electrospray Ionization Mass Spectrometry and Its Application to Aquatic Environments of the Former Soviet Republic of Georgia}, journal = {Applied and Environmental MicrobiologyAppl. Environ. Microbiol.Applied and Environmental MicrobiologyAppl. Environ. Microbiol.}, volume = {76}, year = {2010}, type = {10.1128/AEM.01919-09}, abstract = {The Ibis T5000 is a novel diagnostic platform that couples PCR and mass spectrometry. In this study, we developed an assay that can identify all known pathogenic Vibrio species and field-tested it using natural water samples from both freshwater lakes and the Georgian coastal zone of the Black Sea. Of the 278 total water samples screened, 9 different Vibrio species were detected, 114 (41\%) samples were positive for V. cholerae, and 5 (0.8\%) samples were positive for the cholera toxin A gene (ctxA). All ctxA-positive samples were from two freshwater lakes, and no ctxA-positive samples from any of the Black Sea sites were detected.}, isbn = {0099-2240, 1098-5336}, author = {Whitehouse, Chris A. and Baldwin, Carson and Sampath, Rangarajan and Blyn, Lawrence B. and Melton, Rachael and Li, Feng and Hall, Thomas A. and Harpin, Vanessa and Matthews, Heather and Tediashvili, Marina and Jaiani, Ekaterina and Kokashvili, Tamar and Janelidze, Nino and Grim, Christopher and Rita R. Colwell and Huq, Anwar} } @article {38349, title = {Intensity normalization improves color calling in SOLiD sequencing}, journal = {Nat MethNat MethNat MethNat Meth}, volume = {7}, year = {2010}, type = {10.1038/nmeth0510-336}, isbn = {1548-7091}, author = {Wu, Hao and Irizarry, Rafael A. and H{\'e}ctor Corrada Bravo} } @article {38198, title = {Detection of toxigenic Vibrio cholerae O1 in freshwater lakes of the former Soviet Republic of Georgia}, journal = {Environmental Microbiology ReportsEnvironmental Microbiology Reports}, volume = {2}, year = {2009}, type = {10.1111/j.1758-2229.2009.00073.x}, abstract = {Three freshwater lakes, Lisi Lake, Kumisi Lake and Tbilisi Sea, near Tbilisi, Georgia, were studied from January 2006 to December 2007 to determine the presence of Vibrio cholerae employing both bacteriological culture method and direct detection methods, namely PCR and direct fluorescent antibody (DFA). For PCR, DNA extracted from water samples was tested for presence of V. cholerae and genes coding for selected virulence factors. Vibrio cholerae non-O1/non-O139 was routinely isolated by culture from all three lakes; whereas V. cholerae O1 and O139 were not. Water samples collected during the summer months from Lisi Lake and Kumisi Lake were positive for both V. cholerae and V. cholerae ctxA, tcpA, zot, ompU and toxR by PCR. Water samples collected during the same period from both Lisi and Kumisi Lake were also positive for V. cholerae serogroup O1 by DFA. All of the samples were negative for V. cholerae serotype O139. The results of this study provide evidence for an environmental presence of toxigenic V. cholerae O1, which may represent a potential source of illness as these lakes serve as recreational water in Tbilisi, Georgia.}, isbn = {1758-2229}, author = {Grim, Christopher J. and Jaiani, Ekaterina and Whitehouse, Chris A. and Janelidze, Nino and Kokashvili, Tamuna and Tediashvili, Marina and Rita R. Colwell and Huq, Anwar} } @article {38211, title = {Diversity and Seasonality of Bioluminescent Vibrio Cholerae Populations in Chesapeake Bay}, journal = {Applied and Environmental MicrobiologyAppl. Environ. Microbiol.Applied and Environmental MicrobiologyAppl. Environ. Microbiol.}, volume = {75}, year = {2009}, type = {10.1128/AEM.02894-07}, abstract = {Association of luminescence with phenotypic and genotypic traits and with environmental parameters was determined for 278 strains of Vibrio cholerae isolated from the Chesapeake Bay during 1998 to 2000. Three clusters of luminescent strains (A, B, and C) and two nonluminescent clusters (X and Y) were identified among 180 clonal types. V. cholerae O1 strains isolated during pandemics and endemic cholera in the Ganges Delta were related to cluster Y. Heat-stable enterotoxin (encoded by stn) and the membrane protein associated with bile resistance (encoded by ompU) were found to be linked to luminescence in strains of cluster A. Succession from nonluminescent to luminescent populations of V. cholerae occurred during spring to midsummer. Occurrence of cluster A strains in water with neutral pH was contrasted with that of cluster Y strains in water with a pH of >8. Cluster A was found to be associated with a specific calanoid population cooccurring with cyclopoids. Cluster B was related to cluster Y, with its maximal prevalence at pH 8. Occurrence of cluster B strains was more frequent with warmer water temperatures and negatively correlated with maturity of the copepod community. It is concluded that each cluster of luminescent V. cholerae strains occupies a distinct ecological niche. Since the dynamics of these niche-specific subpopulations are associated with zooplankton community composition, the ecology of luminescent V. cholerae is concluded to be related to its interaction with copepods and related crustacean species.}, isbn = {0099-2240, 1098-5336}, author = {Zo, Young-Gun and Chokesajjawatee, Nipa and Grim, Christopher and Arakawa, Eiji and Watanabe, Haruo and Rita R. Colwell} } @article {49836, title = {Estimating Tree-Structured Covariance Matrices via Mixed-Integer Programming}, journal = {J Mach Learn Res}, volume = {5}, year = {2009}, pages = {41-48}, chapter = {41}, author = {Corrada Bravo, Hector and Wright, Stephen and Eng, Kevin H. and Keles, S{\"u}nd{\"u}z and Wahba, Grace} } @article {49834, title = {Examining the relative influence of familial, genetic, and environmental covariate information in flexible risk models}, journal = {Proceedings of the National Academy of Sciences}, volume = {106}, year = {2009}, month = {Jul-05-2010}, pages = {8128 - 8133}, issn = {0027-8424}, doi = {10.1073/pnas.0902906106}, url = {http://www.pnas.org/cgi/doi/10.1073/pnas.0902906106https://syndication.highwire.org/content/doi/10.1073/pnas.0902906106}, author = {Bravo, H. C. and Lee, K. E. and Klein, B. E. K. and Klein, R. and Iyengar, S. K. and Wahba, G.} } @article {38261, title = {Finding Biologically Accurate Clusterings in Hierarchical Decompositions Using the Variation of Information}, journal = {Lecture Notes in Computer Science: Research in Computational Molecular BiologyLecture Notes in Computer Science: Research in Computational Molecular Biology}, volume = {5541}, year = {2009}, author = {Navlakha, S. and White, J. R. and Nagarajan, N. and M. Pop and Kingsford, Carl} } @article {38278, title = {Gene Profiling of Human Adipose Tissue During Evoked Inflammation In Vivo}, journal = {DiabetesDiabetesDiabetesDiabetes}, volume = {58}, year = {2009}, type = {10.2337/db09-0256}, abstract = {OBJECTIVE Adipose inflammation plays a central role in obesity-related metabolic and cardiovascular complications. However, few human adipose-secreted proteins are known to mediate these processes. We hypothesized that microarray mRNA profiling of human adipose during evoked inflammation could identify novel adipocytokines.RESEARCH DESIGN AND METHODS Healthy human volunteers (n = 14) were treated with intravenous endotoxin (3 ng/kg lipopolysaccharide [LPS]) and underwent subcutaneous adipose biopsies before and after LPS. On Affymetrix U133Plus 2.0 arrays, adipose mRNAs modulated >1.5-fold (with P < 0.00001) were selected. SignalP 3.0 and SecretomeP 2.0 identified genes predicted to encode secreted proteins. Of these, 86 candidates were chosen for validation in adipose from an independent human endotoxemia protocol (N = 7, with 0.6 ng/kg LPS) and for exploration of cellular origin in primary human adipocytes and macrophages in vitro. RESULTS Microarray identified 776 adipose genes modulated by LPS; 298 were predicted to be secreted. Of detectable prioritized genes, 82 of 85 (96\% [95\% CI 90{\textendash}99]) were upregulated (fold changes >1.0) during the lower-dose (LPS 0.6 ng/kg) validation study and 51 of 85 (59\% [49{\textendash}70]) were induced greater than 1.5-fold. Treatment of primary adipocytes with LPS and macrophage polarization to M1 proinflammatory phenotype increased expression by 1.5-fold for 58 and 73\% of detectable genes, respectively. CONCLUSIONS We demonstrate that evoked inflammation of human adipose in vivo modulated expression of multiple genes likely secreted by adipocytes and monocytes. These included established adipocytokines and chemokines implicated in recruitment and activation of lymphocytes, adhesion molecules, antioxidants, and several novel genes with unknown function. Such candidates may represent biomarkers and therapeutic targets for obesity-related complications.}, isbn = {0012-1797, 1939-327X}, author = {Shah, Rachana and Lu, Yun and Hinkle, Christine C. and McGillicuddy, Fiona C. and Kim, Roy and Sridhar Hannenhalli and Cappola, Thomas P. and Heffron, Sean and Wang, XingMei and Mehta, Nehal N. and Putt, Mary and Reilly, Muredach P.} } @article {38290, title = {Genome assortment, not serogroup, defines Vibrio cholerae pandemic strains}, journal = {NatureNature}, year = {2009}, abstract = {Vibrio cholerae, the causative agent of cholera, is a bacterium autochthonous to the aquatic environment, and a serious public health threat. V. cholerae serogroup O1 is responsible for the previous two cholera pandemics, in which classical and El Tor biotypes were dominant in the 6th and the current 7th pandemics, respectively. Cholera researchers continually face newly emerging and re-emerging pathogenic clones carrying combinations of new serogroups as well as of phenotypic and genotypic properties. These genotype and phenotype changes have hampered control of the disease. Here we compare the complete genome sequences of 23 strains of V. cholerae isolated from a variety of sources and geographical locations over the past 98 years in an effort to elucidate the evolutionary mechanisms governing genetic diversity and genesis of new pathogenic clones. The genome-based phylogeny revealed 12 distinct V. cholerae phyletic lineages, of which one, designated the V. cholerae core genome (CG), comprises both O1 classical and EI Tor biotypes. All 7th pandemic clones share nearly identical gene content, i.e., the same genome backbone. The transition from 6th to 7th pandemic strains is defined here as a {\textquoteright}shift{\textquoteright} between pathogenic clones belonging to the same O1 serogroup, but from significantly different phyletic lineages within the CG clade. In contrast, transition among clones during the present 7th pandemic period can be characterized as a {\textquoteright}drift{\textquoteright} between clones, differentiated mainly by varying composition of laterally transferred genomic islands, resulting in emergence of variants, exemplified by V.cholerae serogroup O139 and V.cholerae O1 El Tor hybrid clones that produce cholera toxin of classical biotype. Based on the comprehensive comparative genomics presented in this study it is concluded that V. cholerae undergoes extensive genetic recombination via lateral gene transfer, and, therefore, genome assortment, not serogroup, should be used to define pathogenic V. cholerae clones.}, keywords = {59, CHOLERA, genes, Genetics, GENOTYPE, ISLANDS, ORIGIN, PHENOTYPE, PUBLIC HEALTH, recombination, STRAINS, Toxins}, author = {Brettin, Thomas S. and Bruce, David C. and Challacombe, Jean F. and Detter, John C. and Han, Cliff S. and Munik, A. C. and Chertkov, Olga and Meincke, Linda and Saunders, Elizabeth and Choi, Seon Y. and Haley, Bradd J. and Taviani, Elisa and Jeon, Yoon-Seong and Kim, Dong Wook and Lee, Jae-Hak and Walters, Ronald A. and Hug, Anwar and Rita R. Colwell} } @article {49646, title = {The genome of the blood fluke Schistosoma mansoni.}, journal = {Nature}, volume = {460}, year = {2009}, month = {2009 Jul 16}, pages = {352-8}, abstract = {

Schistosoma mansoni is responsible for the neglected tropical disease schistosomiasis that affects 210 million people in 76 countries. Here we present analysis of the 363 megabase nuclear genome of the blood fluke. It encodes at least 11,809 genes, with an unusual intron size distribution, and new families of micro-exon genes that undergo frequent alternative splicing. As the first sequenced flatworm, and a representative of the Lophotrochozoa, it offers insights into early events in the evolution of the animals, including the development of a body pattern with bilateral symmetry, and the development of tissues into organs. Our analysis has been informed by the need to find new drug targets. The deficits in lipid metabolism that make schistosomes dependent on the host are revealed, and the identification of membrane receptors, ion channels and more than 300 proteases provide new insights into the biology of the life cycle and new targets. Bioinformatics approaches have identified metabolic chokepoints, and a chemogenomic screen has pinpointed schistosome proteins for which existing drugs may be active. The information generated provides an invaluable resource for the research community to develop much needed new control tools for the treatment and eradication of this important and neglected disease.

}, keywords = {Animals, Biological Evolution, Exons, Genes, Helminth, Genome, Helminth, Host-Parasite Interactions, Introns, Molecular Sequence Data, Physical Chromosome Mapping, Schistosoma mansoni, Schistosomiasis mansoni}, issn = {1476-4687}, doi = {10.1038/nature08160}, author = {Berriman, Matthew and Haas, Brian J and LoVerde, Philip T and Wilson, R Alan and Dillon, Gary P and Cerqueira, Gustavo C and Mashiyama, Susan T and Al-Lazikani, Bissan and Andrade, Luiza F and Ashton, Peter D and Aslett, Martin A and Bartholomeu, Daniella C and Blandin, Ga{\"e}lle and Caffrey, Conor R and Coghlan, Avril and Coulson, Richard and Day, Tim A and Delcher, Art and DeMarco, Ricardo and Djikeng, Appolinaire and Eyre, Tina and Gamble, John A and Ghedin, Elodie and Gu, Yong and Hertz-Fowler, Christiane and Hirai, Hirohisha and Hirai, Yuriko and Houston, Robin and Ivens, Alasdair and Johnston, David A and Lacerda, Daniela and Macedo, Camila D and McVeigh, Paul and Ning, Zemin and Oliveira, Guilherme and Overington, John P and Parkhill, Julian and Pertea, Mihaela and Pierce, Raymond J and Protasio, Anna V and Quail, Michael A and Rajandream, Marie-Ad{\`e}le and Rogers, Jane and Sajid, Mohammed and Salzberg, Steven L and Stanke, Mario and Tivey, Adrian R and White, Owen and Williams, David L and Wortman, Jennifer and Wu, Wenjie and Zamanian, Mostafa and Zerlotini, Adhemar and Fraser-Liggett, Claire M and Barrell, Barclay G and El-Sayed, Najib M} } @article {49781, title = {InterPro: the integrative protein signature database.}, journal = {Nucleic Acids Res}, volume = {37}, year = {2009}, month = {2009 Jan}, pages = {D211-5}, abstract = {

The InterPro database (http://www.ebi.ac.uk/interpro/) integrates together predictive models or {\textquoteright}signatures{\textquoteright} representing protein domains, families and functional sites from multiple, diverse source databases: Gene3D, PANTHER, Pfam, PIRSF, PRINTS, ProDom, PROSITE, SMART, SUPERFAMILY and TIGRFAMs. Integration is performed manually and approximately half of the total approximately 58,000 signatures available in the source databases belong to an InterPro entry. Recently, we have started to also display the remaining un-integrated signatures via our web interface. Other developments include the provision of non-signature data, such as structural data, in new XML files on our FTP site, as well as the inclusion of matchless UniProtKB proteins in the existing match XML files. The web interface has been extended and now links out to the ADAN predicted protein-protein interaction database and the SPICE and Dasty viewers. The latest public release (v18.0) covers 79.8\% of UniProtKB (v14.1) and consists of 16 549 entries. InterPro data may be accessed either via the web address above, via web services, by downloading files by anonymous FTP or by using the InterProScan search software (http://www.ebi.ac.uk/Tools/InterProScan/).

}, keywords = {Databases, Protein, Proteins, Sequence Analysis, Protein, Systems Integration}, issn = {1362-4962}, doi = {10.1093/nar/gkn785}, author = {Hunter, Sarah and Apweiler, Rolf and Attwood, Teresa K and Bairoch, Amos and Bateman, Alex and Binns, David and Bork, Peer and Das, Ujjwal and Daugherty, Louise and Duquenne, Lauranne and Finn, Robert D and Gough, Julian and Haft, Daniel and Hulo, Nicolas and Kahn, Daniel and Kelly, Elizabeth and Laugraud, Aur{\'e}lie and Letunic, Ivica and Lonsdale, David and Lopez, Rodrigo and Madera, Martin and Maslen, John and McAnulla, Craig and McDowall, Jennifer and Mistry, Jaina and Mitchell, Alex and Mulder, Nicola and Natale, Darren and Orengo, Christine and Quinn, Antony F and Selengut, Jeremy D and Sigrist, Christian J A and Thimma, Manjula and Thomas, Paul D and Valentin, Franck and Wilson, Derek and Wu, Cathy H and Yeats, Corin} } @article {38353, title = {InterPro: the integrative protein signature database}, journal = {Nucleic acids researchNucleic Acids Research}, volume = {37}, year = {2009}, note = {http://www.ncbi.nlm.nih.gov/pubmed/18940856?dopt=Abstract}, type = {10.1093/nar/gkn785}, abstract = {The InterPro database (http://www.ebi.ac.uk/interpro/) integrates together predictive models or {\textquoteright}signatures{\textquoteright} representing protein domains, families and functional sites from multiple, diverse source databases: Gene3D, PANTHER, Pfam, PIRSF, PRINTS, ProDom, PROSITE, SMART, SUPERFAMILY and TIGRFAMs. Integration is performed manually and approximately half of the total approximately 58,000 signatures available in the source databases belong to an InterPro entry. Recently, we have started to also display the remaining un-integrated signatures via our web interface. Other developments include the provision of non-signature data, such as structural data, in new XML files on our FTP site, as well as the inclusion of matchless UniProtKB proteins in the existing match XML files. The web interface has been extended and now links out to the ADAN predicted protein-protein interaction database and the SPICE and Dasty viewers. The latest public release (v18.0) covers 79.8\% of UniProtKB (v14.1) and consists of 16 549 entries. InterPro data may be accessed either via the web address above, via web services, by downloading files by anonymous FTP or by using the InterProScan search software (http://www.ebi.ac.uk/Tools/InterProScan/).}, keywords = {Databases, Protein, Proteins, Sequence Analysis, Protein, Systems Integration}, author = {Hunter, Sarah and Apweiler, Rolf and Attwood, Teresa K. and Bairoch, Amos and Bateman, Alex and Binns, David and Bork, Peer and Das, Ujjwal and Daugherty, Louise and Duquenne, Lauranne and Finn, Robert D. and Gough, Julian and Haft, Daniel and Hulo, Nicolas and Kahn, Daniel and Kelly, Elizabeth and Laugraud, Aur{\'e}lie and Letunic, Ivica and Lonsdale, David and Lopez, Rodrigo and Madera, Martin and Maslen, John and McAnulla, Craig and McDowall, Jennifer and Mistry, Jaina and Mitchell, Alex and Mulder, Nicola and Natale, Darren and Orengo, Christine and Quinn, Antony F. and J. Selengut and Sigrist, Christian J. A. and Thimma, Manjula and Thomas, Paul D. and Valentin, Franck and Wilson, Derek and Wu, Cathy H. and Yeats, Corin} } @article {38462, title = {Resistin gene variation is associated with systemic inflammation but not plasma adipokine levels, metabolic syndrome or coronary atherosclerosis in nondiabetic Caucasians}, journal = {Clinical EndocrinologyClinical Endocrinology}, volume = {70}, year = {2009}, type = {10.1111/j.1365-2265.2008.03375.x}, abstract = {Objective Resistin causes insulin resistance and diabetes in mice whereas in humans it is linked to inflammation and atherosclerosis. Few human genetic studies of resistin in inflammation and atherosclerosis have been performed. We hypothesized that the {\textendash}420C>G putative gain-of-function resistin variant would be associated with inflammatory markers and atherosclerosis but not with metabolic syndrome or adipokines in humans.Design and methods We examined the association of three resistin polymorphisms, {\textendash}852A>G, {\textendash}420C>G and +157C>T, and related haplotypes with plasma resistin, cytokines, C-reactive protein (CRP), adipokines, plasma lipoproteins, metabolic syndrome and coronary artery calcification (CAC) in nondiabetic Caucasians (n~=~851). Results Resistin levels were higher, dose-dependently, with the {\textendash}420G allele (CC 5{\textperiodcentered}9~{\textpm}~2{\textperiodcentered}7~ng/ml, GC 6{\textperiodcentered}5~{\textpm}~4{\textperiodcentered}0~ng/ml and GG 7{\textperiodcentered}2~{\textpm}~4{\textperiodcentered}8~ng/ml, trend P~=~0{\textperiodcentered}04) after age and gender adjustment [fold higher for GC~+~GG vs. CC; 1{\textperiodcentered}07~(1{\textperiodcentered}00{\textendash}1{\textperiodcentered}15), P~<~0{\textperiodcentered}05)]. The {\textendash}852A>G single nucleotide polymorphism (SNP) was associated with higher soluble tumour necrosis factor-receptor~2 (sol-TNFR2) levels in fully adjusted models [1{\textperiodcentered}06~(95\%~CI 1{\textperiodcentered}01{\textendash}1{\textperiodcentered}11), P~=~0{\textperiodcentered}01)]. The estimated resistin haplotype (GGT) was associated with sol-TNFR2 (P~=~0{\textperiodcentered}04) and the AGT haplotype was related to CRP (P~=~0{\textperiodcentered}04) in the fully adjusted models. Resistin SNPs and haplotypes were not associated with body mass index (BMI), fasting glucose, insulin resistance, metabolic syndrome, adipokines or CAC scores. Conclusions Despite modest associations with plasma resistin and inflammatory biomarkers, resistin 5' variants were not associated with metabolic parameters or coronary calcification. This suggests that resistin is an inflammatory cytokine in humans but has little influence on adiposity, metabolic syndrome or atherosclerosis.}, isbn = {1365-2265}, author = {Qasim, Atif N. and Metkus, Thomas S. and Tadesse, Mahlet and Lehrke, Michael and Restine, Stephanie and Wolfe, Megan L. and Sridhar Hannenhalli and Cappola, Thomas and Rader, Daniel J. and Reilly, Muredach P.} } @article {38498, title = {Serogroup, Virulence, and Genetic Traits of Vibrio Parahaemolyticus in the Estuarine Ecosystem of Bangladesh}, journal = {Applied and Environmental MicrobiologyAppl. Environ. Microbiol.Applied and Environmental MicrobiologyAppl. Environ. Microbiol.}, volume = {75}, year = {2009}, type = {10.1128/AEM.00266-09}, abstract = {Forty-two strains of Vibrio parahaemolyticus were isolated from Bay of Bengal estuaries and, with two clinical strains, analyzed for virulence, phenotypic, and molecular traits. Serological analysis indicated O8, O3, O1, and K21 to be the major O and K serogroups, respectively, and O8:K21, O1:KUT, and O3:KUT to be predominant. The K antigen(s) was untypeable, and pandemic serogroup O3:K6 was not detected. The presence of genes toxR and tlh were confirmed by PCR in all but two strains, which also lacked toxR. A total of 18 (41\%) strains possessed the virulence gene encoding thermostable direct hemolysin (TDH), and one had the TDH-related hemolysin (trh) gene, but not tdh. Ten (23\%) strains exhibited Kanagawa phenomenon that surrogates virulence, of which six, including the two clinical strains, possessed tdh. Of the 18 tdh-positive strains, 17 (94\%), including the two clinical strains, had the seromarker O8:K21, one was O9:KUT, and the single trh-positive strain was O1:KUT. None had the group-specific or ORF8 pandemic marker gene. DNA fingerprinting employing pulsed-field gel electrophoresis (PFGE) of SfiI-digested DNA and cluster analysis showed divergence among the strains. Dendrograms constructed using PFGE (SfiI) images from a soft database, including those of pandemic and nonpandemic strains of diverse geographic origin, however, showed that local strains formed a cluster, i.e., {\textquotedblleft}clonal cluster,{\textquotedblright} as did pandemic strains of diverse origin. The demonstrated prevalence of tdh-positive and diarrheagenic serogroup O8:K21 strains in coastal villages of Bangladesh indicates a significant human health risk for inhabitants.}, isbn = {0099-2240, 1098-5336}, author = {Alam, Munirul and Chowdhury, Wasimul B. and Bhuiyan, N. A. and Islam, Atiqul and Hasan, Nur A. and Nair, G. Balakrish and Watanabe, H. and Siddique, A. K. and Huq, Anwar and Sack, R. Bradley and Akhter, M. Z. and Grim, Christopher J. and Kam, K. M. and Luey, C. K. Y. and Endtz, Hubert P. and Cravioto, Alejandro and Rita R. Colwell} } @article {38513, title = {Statistical Methods for Detecting Differentially Abundant Features in Clinical Metagenomic Samples}, journal = {PLoS Comput BiologyPLoS Comput BiolPLoS Comput BiologyPLoS Comput Biol}, volume = {5}, year = {2009}, type = {10.1371/journal.pcbi.1000352}, abstract = {The emerging field of metagenomics aims to understand the structure and function of microbial communities solely through DNA analysis. Current metagenomics studies comparing communities resemble large-scale clinical trials with multiple subjects from two general populations (e.g. sick and healthy). To improve analyses of this type of experimental data, we developed a statistical methodology for detecting differentially abundant features between microbial communities, that is, features that are enriched or depleted in one population versus another. We show our methods are applicable to various metagenomic data ranging from taxonomic information to functional annotations. We also provide an assessment of taxonomic differences in gut microbiota between lean and obese humans, as well as differences between the functional capacities of mature and infant gut microbiomes, and those of microbial and viral metagenomes. Our methods are the first to statistically address differential abundance in comparative metagenomics studies with multiple subjects, and we hope will give researchers a more complete picture of how exactly two environments differ.}, author = {White, James Robert and Nagarajan, Niranjan and M. Pop} } @article {38528, title = {Three genomes from the phylum Acidobacteria provide insight into the lifestyles of these microorganisms in soils}, journal = {Applied and environmental microbiologyApplied and environmental microbiology}, volume = {75}, year = {2009}, note = {http://www.ncbi.nlm.nih.gov/pubmed/19201974?dopt=Abstract}, type = {10.1128/AEM.02294-08}, abstract = {The complete genomes of three strains from the phylum Acidobacteria were compared. Phylogenetic analysis placed them as a unique phylum. They share genomic traits with members of the Proteobacteria, the Cyanobacteria, and the Fungi. The three strains appear to be versatile heterotrophs. Genomic and culture traits indicate the use of carbon sources that span simple sugars to more complex substrates such as hemicellulose, cellulose, and chitin. The genomes encode low-specificity major facilitator superfamily transporters and high-affinity ABC transporters for sugars, suggesting that they are best suited to low-nutrient conditions. They appear capable of nitrate and nitrite reduction but not N(2) fixation or denitrification. The genomes contained numerous genes that encode siderophore receptors, but no evidence of siderophore production was found, suggesting that they may obtain iron via interaction with other microorganisms. The presence of cellulose synthesis genes and a large class of novel high-molecular-weight excreted proteins suggests potential traits for desiccation resistance, biofilm formation, and/or contribution to soil structure. Polyketide synthase and macrolide glycosylation genes suggest the production of novel antimicrobial compounds. Genes that encode a variety of novel proteins were also identified. The abundance of acidobacteria in soils worldwide and the breadth of potential carbon use by the sequenced strains suggest significant and previously unrecognized contributions to the terrestrial carbon cycle. Combining our genomic evidence with available culture traits, we postulate that cells of these isolates are long-lived, divide slowly, exhibit slow metabolic rates under low-nutrient conditions, and are well equipped to tolerate fluctuations in soil hydration.}, keywords = {Anti-Bacterial Agents, bacteria, Biological Transport, Carbohydrate Metabolism, Cyanobacteria, DNA, Bacterial, Fungi, Genome, Bacterial, Macrolides, Molecular Sequence Data, Nitrogen, Phylogeny, Proteobacteria, Sequence Analysis, DNA, Sequence Homology, Soil Microbiology}, author = {Ward, Naomi L. and Challacombe, Jean F. and Janssen, Peter H. and Henrissat, Bernard and Coutinho, Pedro M. and Wu, Martin and Xie, Gary and Haft, Daniel H. and Sait, Michelle and Badger, Jonathan and Barabote, Ravi D. and Bradley, Brent and Brettin, Thomas S. and Brinkac, Lauren M. and Bruce, David and Creasy, Todd and Daugherty, Sean C. and Davidsen, Tanja M. and DeBoy, Robert T. and Detter, J. Chris and Dodson, Robert J. and Durkin, A. Scott and Ganapathy, Anuradha and Gwinn-Giglio, Michelle and Han, Cliff S. and Khouri, Hoda and Kiss, Hajnalka and Kothari, Sagar P. and Madupu, Ramana and Nelson, Karen E. and Nelson, William C. and Paulsen, Ian and Penn, Kevin and Ren, Qinghu and Rosovitz, M. J. and J. Selengut and Shrivastava, Susmita and Sullivan, Steven A. and Tapia, Roxanne and Thompson, L. Sue and Watkins, Kisha L. and Yang, Qi and Yu, Chunhui and Zafar, Nikhat and Zhou, Liwei and Kuske, Cheryl R.} } @article {49780, title = {Three genomes from the phylum Acidobacteria provide insight into the lifestyles of these microorganisms in soils.}, journal = {Appl Environ Microbiol}, volume = {75}, year = {2009}, month = {2009 Apr}, pages = {2046-56}, abstract = {

The complete genomes of three strains from the phylum Acidobacteria were compared. Phylogenetic analysis placed them as a unique phylum. They share genomic traits with members of the Proteobacteria, the Cyanobacteria, and the Fungi. The three strains appear to be versatile heterotrophs. Genomic and culture traits indicate the use of carbon sources that span simple sugars to more complex substrates such as hemicellulose, cellulose, and chitin. The genomes encode low-specificity major facilitator superfamily transporters and high-affinity ABC transporters for sugars, suggesting that they are best suited to low-nutrient conditions. They appear capable of nitrate and nitrite reduction but not N(2) fixation or denitrification. The genomes contained numerous genes that encode siderophore receptors, but no evidence of siderophore production was found, suggesting that they may obtain iron via interaction with other microorganisms. The presence of cellulose synthesis genes and a large class of novel high-molecular-weight excreted proteins suggests potential traits for desiccation resistance, biofilm formation, and/or contribution to soil structure. Polyketide synthase and macrolide glycosylation genes suggest the production of novel antimicrobial compounds. Genes that encode a variety of novel proteins were also identified. The abundance of acidobacteria in soils worldwide and the breadth of potential carbon use by the sequenced strains suggest significant and previously unrecognized contributions to the terrestrial carbon cycle. Combining our genomic evidence with available culture traits, we postulate that cells of these isolates are long-lived, divide slowly, exhibit slow metabolic rates under low-nutrient conditions, and are well equipped to tolerate fluctuations in soil hydration.

}, keywords = {Anti-Bacterial Agents, bacteria, Biological Transport, Carbohydrate Metabolism, Cyanobacteria, DNA, Bacterial, Fungi, Genome, Bacterial, Macrolides, Molecular Sequence Data, Nitrogen, Phylogeny, Proteobacteria, Sequence Analysis, DNA, Sequence Homology, Soil Microbiology}, issn = {1098-5336}, doi = {10.1128/AEM.02294-08}, author = {Ward, Naomi L and Challacombe, Jean F and Janssen, Peter H and Henrissat, Bernard and Coutinho, Pedro M and Wu, Martin and Xie, Gary and Haft, Daniel H and Sait, Michelle and Badger, Jonathan and Barabote, Ravi D and Bradley, Brent and Brettin, Thomas S and Brinkac, Lauren M and Bruce, David and Creasy, Todd and Daugherty, Sean C and Davidsen, Tanja M and DeBoy, Robert T and Detter, J Chris and Dodson, Robert J and Durkin, A Scott and Ganapathy, Anuradha and Gwinn-Giglio, Michelle and Han, Cliff S and Khouri, Hoda and Kiss, Hajnalka and Kothari, Sagar P and Madupu, Ramana and Nelson, Karen E and Nelson, William C and Paulsen, Ian and Penn, Kevin and Ren, Qinghu and Rosovitz, M J and Selengut, Jeremy D and Shrivastava, Susmita and Sullivan, Steven A and Tapia, Roxanne and Thompson, L Sue and Watkins, Kisha L and Yang, Qi and Yu, Chunhui and Zafar, Nikhat and Zhou, Liwei and Kuske, Cheryl R} } @article {38533, title = {Toward reconstructing the evolution of advanced moths and butterflies (Lepidoptera: Ditrysia): an initial molecular study}, journal = {BMC Evol BiolBMC Evol Biol}, volume = {9}, year = {2009}, type = {10.1186/1471-2148-9-280}, abstract = {BACKGROUND: In the mega-diverse insect order Lepidoptera (butterflies and moths; 165,000 described species), deeper relationships are little understood within the clade Ditrysia, to which 98\% of the species belong. To begin addressing this problem, we tested the ability of five protein-coding nuclear genes (6.7 kb total), and character subsets therein, to resolve relationships among 123 species representing 27 (of 33) superfamilies and 55 (of 100) families of Ditrysia under maximum likelihood analysis. RESULTS: Our trees show broad concordance with previous morphological hypotheses of ditrysian phylogeny, although most relationships among superfamilies are weakly supported. There are also notable surprises, such as a consistently closer relationship of Pyraloidea than of butterflies to most Macrolepidoptera. Monophyly is significantly rejected by one or more character sets for the putative clades Macrolepidoptera as currently defined (P < 0.05) and Macrolepidoptera excluding Noctuoidea and Bombycoidea sensu lato (P < or = 0.005), and nearly so for the superfamily Drepanoidea as currently defined (P < 0.08). Superfamilies are typically recovered or nearly so, but usually without strong support. Relationships within superfamilies and families, however, are often robustly resolved. We provide some of the first strong molecular evidence on deeper splits within Pyraloidea, Tortricoidea, Geometroidea, Noctuoidea and others.Separate analyses of mostly synonymous versus non-synonymous character sets revealed notable differences (though not strong conflict), including a marked influence of compositional heterogeneity on apparent signal in the third codon position (nt3). As available model partitioning methods cannot correct for this variation, we assessed overall phylogeny resolution through separate examination of trees from each character set. Exploration of "tree space" with GARLI, using grid computing, showed that hundreds of searches are typically needed to find the best-feasible phylogeny estimate for these data. CONCLUSION: Our results (a) corroborate the broad outlines of the current working phylogenetic hypothesis for Ditrysia, (b) demonstrate that some prominent features of that hypothesis, including the position of the butterflies, need revision, and (c) resolve the majority of family and subfamily relationships within superfamilies as thus far sampled. Much further gene and taxon sampling will be needed, however, to strongly resolve individual deeper nodes.}, author = {Regier, J. C. and Zwick, A. and Michael P. Cummings and Kawahara, A. Y. and Cho, S. and Weller, S. and Roe, A. and Baixeras, J. and Brown, J. W. and Parr, C. and Davis, D. R. and Epstein, M. and Hallwachs, W. and Hausmann, A. and Janzen, D. H. and Kitching, I. J. and Solis, M. A. and Yen, S. H. and Adam L. Bazinet and Mitter, C.} } @article {38130, title = {Biofilms in water, its role and impact in human disease transmission}, journal = {Current Opinion in BiotechnologyCurrent Opinion in Biotechnology}, volume = {19}, year = {2008}, type = {10.1016/j.copbio.2008.04.005}, abstract = {Understanding the mechanism of biofilm formation is the first step in determining its function and, thereby, its impact and role in the environment. Extensive studies accomplished during the past few years have elucidated the genetics and biochemistry of biofilm formation. Cell-to-cell communication, that is, quorum sensing, is a key factor in the initiation of biofilm. Occurrence of viable but nonculturable bacteria, including Vibrio cholerae in biofilms has been reported and most likely such cells were overlooked previously because appropriate methods of detection were not employed. For this reason discovery and investigation of this important bacterial ecological niche in the environment were impeded.}, isbn = {0958-1669}, author = {Huq, Anwar and Whitehouse, Chris A. and Grim, Christopher J. and Alam, Munirul and Rita R. Colwell} } @article {38186, title = {Covariability of Vibrio Cholerae Microdiversity and Environmental Parameters}, journal = {Applied and Environmental MicrobiologyAppl. Environ. Microbiol.Applied and Environmental MicrobiologyAppl. Environ. Microbiol.}, volume = {74}, year = {2008}, type = {10.1128/AEM.02139-07}, abstract = {Fine-scale diversity of natural bacterial assemblages has been attributed to neutral radiation because correspondence between bacterial phylogenetic signals in the natural environment and environmental parameters had not been detected. Evidence that such correspondence occurs is provided for Vibrio cholerae, establishing a critical role for environmental parameters in bacterial diversity.}, isbn = {0099-2240, 1098-5336}, author = {Zo, Young-Gun and Chokesajjawatee, Nipa and Arakawa, Eiji and Watanabe, Haruo and Huq, Anwar and Rita R. Colwell} } @article {49676, title = {The draft genome of the transgenic tropical fruit tree papaya (Carica papaya Linnaeus).}, journal = {Nature}, volume = {452}, year = {2008}, month = {2008 Apr 24}, pages = {991-6}, abstract = {

Papaya, a fruit crop cultivated in tropical and subtropical regions, is known for its nutritional benefits and medicinal applications. Here we report a 3x draft genome sequence of {\textquoteright}SunUp{\textquoteright} papaya, the first commercial virus-resistant transgenic fruit tree to be sequenced. The papaya genome is three times the size of the Arabidopsis genome, but contains fewer genes, including significantly fewer disease-resistance gene analogues. Comparison of the five sequenced genomes suggests a minimal angiosperm gene set of 13,311. A lack of recent genome duplication, atypical of other angiosperm genomes sequenced so far, may account for the smaller papaya gene number in most functional groups. Nonetheless, striking amplifications in gene number within particular functional groups suggest roles in the evolution of tree-like habit, deposition and remobilization of starch reserves, attraction of seed dispersal agents, and adaptation to tropical daylengths. Transgenesis at three locations is closely associated with chloroplast insertions into the nuclear genome, and with topoisomerase I recognition sites. Papaya offers numerous advantages as a system for fruit-tree functional genomics, and this draft genome sequence provides the foundation for revealing the basis of Carica{\textquoteright}s distinguishing morpho-physiological, medicinal and nutritional properties.

}, keywords = {Arabidopsis, Carica, Contig Mapping, Databases, Genetic, Genes, Plant, Genome, Plant, Molecular Sequence Data, Plants, Genetically Modified, sequence alignment, Sequence Analysis, DNA, Transcription Factors, Tropical Climate}, issn = {1476-4687}, doi = {10.1038/nature06856}, author = {Ming, Ray and Hou, Shaobin and Feng, Yun and Yu, Qingyi and Dionne-Laporte, Alexandre and Saw, Jimmy H and Senin, Pavel and Wang, Wei and Ly, Benjamin V and Lewis, Kanako L T and Salzberg, Steven L and Feng, Lu and Jones, Meghan R and Skelton, Rachel L and Murray, Jan E and Chen, Cuixia and Qian, Wubin and Shen, Junguo and Du, Peng and Eustice, Moriah and Tong, Eric and Tang, Haibao and Lyons, Eric and Paull, Robert E and Michael, Todd P and Wall, Kerr and Rice, Danny W and Albert, Henrik and Wang, Ming-Li and Zhu, Yun J and Schatz, Michael and Nagarajan, Niranjan and Acob, Ricelle A and Guan, Peizhu and Blas, Andrea and Wai, Ching Man and Ackerman, Christine M and Ren, Yan and Liu, Chao and Wang, Jianmei and Wang, Jianping and Na, Jong-Kuk and Shakirov, Eugene V and Haas, Brian and Thimmapuram, Jyothi and Nelson, David and Wang, Xiyin and Bowers, John E and Gschwend, Andrea R and Delcher, Arthur L and Singh, Ratnesh and Suzuki, Jon Y and Tripathi, Savarni and Neupane, Kabi and Wei, Hairong and Irikura, Beth and Paidi, Maya and Jiang, Ning and Zhang, Wenli and Presting, Gernot and Windsor, Aaron and Navajas-P{\'e}rez, Rafael and Torres, Manuel J and Feltus, F Alex and Porter, Brad and Li, Yingjun and Burroughs, A Max and Luo, Ming-Cheng and Liu, Lei and Christopher, David A and Mount, Stephen M and Moore, Paul H and Sugimura, Tak and Jiang, Jiming and Schuler, Mary A and Friedman, Vikki and Mitchell-Olds, Thomas and Shippen, Dorothy E and dePamphilis, Claude W and Palmer, Jeffrey D and Freeling, Michael and Paterson, Andrew H and Gonsalves, Dennis and Wang, Lei and Alam, Maqsudul} } @article {38236, title = {Estimating Tree-Structured Covariance Matrices via Mixed-Integer Programming with an Application to Phylogenetic Analysis of Gene Expression}, volume = {1142}, year = {2008}, institution = {Department of Statistics, University of Wisconsin}, abstract = {We present a novel method for estimating tree-structured covariance matrices directly fromobserved continuous data. A representation of these classes of matrices as linear combinations of rank-one matrices indicating object partitions is used to formulate estimation as instances of well-studied numerical optimization problems. In particular, we present estimation based on projection where the covariance estimate is the nearest tree-structured covariance matrix to an observed sample covariance matrix. The problem is posed as a linear or quadratic mixed-integer program (MIP) where a setting of the integer variables in the MIP specifies a set of tree topologies of the structured covariance matrix. We solve these problems to optimality using efficient and robust existing MIP solvers. We also show that the least squares distance method of Fitch and Margoliash (1967) can be formulated as a quadratic MIP and thus solved exactly using existing, robust branch-and-bound MIP solvers. Our motivation for this method is the discovery of phylogenetic structure directly from gene expression data. Recent studies have adapted traditional phylogenetic comparative anal- ysis methods to expression data. Typically, these methods first estimate a phylogenetic tree from genomic sequence data and subsequently analyze expression data. A covariance matrix constructed from the sequence-derived tree is used to correct for the lack of independence in phy- logenetically related taxa. However, recent results have shown that the hierarchical structure of sequence-derived tree estimates are highly sensitive to the genomic region chosen to build them. To circumvent this difficulty, we propose a stable method for deriving tree-structured covariance matrices directly from gene expression as an exploratory step that can guide investigators in their modelling choices for these types of comparative analysis. We present a case study in phylogenetic analysis of expression in yeast gene families. Our method is able to corroborate the presence of phylogenetic structure in the response of expression in a subset of the gene families under particular experimental conditions. Additionally, when used in conjunction with transcription factor occupancy data, our methods show that alternative modelling choices should be considered when creating sequence-derived trees for this comparative analysis.}, author = {H{\'e}ctor Corrada Bravo and Eng, K. H. and Keles, S. and Wahba, G. and Wright, S.} } @article {38260, title = {Figaro: A Novel Statistical Method for Vector Sequence Removal}, journal = {BioinformaticsBioinformaticsBioinformaticsBioinformatics}, volume = {24}, year = {2008}, type = {10.1093/bioinformatics/btm632}, abstract = {Motivation: Sequences produced by automated Sanger sequencing machines frequently contain fragments of the cloning vector on their ends. Software tools currently available for identifying and removing the vector sequence require knowledge of the vector sequence, specific splice sites and any adapter sequences used in the experiment{\textemdash}information often omitted from public databases. Furthermore, the clipping coordinates themselves are missing or incorrectly reported. As an example, within the \~{}1.24 billion shotgun sequences deposited in the NCBI Trace Archive, as many as \~{}735 million (\~{}60\%) lack vector clipping information. Correct clipping information is essential to scientists attempting to validate, improve and even finish the increasingly large number of genomes released at a {\textquoteleft}draft{\textquoteright} quality level.Results: We present here Figaro, a novel software tool for identifying and removing the vector from raw sequence data without prior knowledge of the vector sequence. The vector sequence is automatically inferred by analyzing the frequency of occurrence of short oligo-nucleotides using Poisson statistics. We show that Figaro achieves 99.98\% sensitivity when tested on \~{}1.5 million shotgun reads from Drosophila pseudoobscura. We further explore the impact of accurate vector trimming on the quality of whole-genome assemblies by re-assembling two bacterial genomes from shotgun sequences deposited in the Trace Archive. Designed as a module in large computational pipelines, Figaro is fast, lightweight and flexible. Availability: Figaro is released under an open-source license through the AMOS package (http://amos.sourceforge.net/Figaro). Contact: mpop@umiacs.umd.edu}, isbn = {1367-4803, 1460-2059}, author = {White, James Robert and Roberts, Michael and Yorke, James A. and M. Pop} } @inbook {38359, title = {The Lattice Project: a Grid research and production environment combining multiple Grid computing models}, booktitle = {Distributed \& Grid Computing {\textemdash} Science Made Transparent for Everyone. Principles, Applications and Supporting CommunitiesDistributed \& Grid Computing {\textemdash} Science Made Transparent for Everyone. Principles, Applications and Supporting Communities}, year = {2008}, publisher = {Rechenkraft.net}, organization = {Rechenkraft.net}, address = {Marburg}, author = {Adam L. Bazinet and Michael P. Cummings}, editor = {Weber, M. H. W.} } @article {38366, title = {Maternal depletion of CTCF reveals multiple functions during oocyte and preimplantation embryo development}, journal = {DevelopmentDevelopment}, volume = {135}, year = {2008}, publisher = {The Company of Biologists Limited}, author = {Wan, L. B. and Pan, H. and Sridhar Hannenhalli and Cheng, Y. and Ma, J. and Fedoriw, A. and Lobanenkov, V. and Latham, K. E. and Schultz, R. M. and Bartolomei, M. S.} } @article {38383, title = {The minimum information about a genome sequence (MIGS) specification}, journal = {Nature biotechnologyNature biotechnology}, volume = {26}, year = {2008}, note = {http://www.ncbi.nlm.nih.gov/pubmed/18464787?dopt=Abstract}, type = {10.1038/nbt1360}, abstract = {With the quantity of genomic data increasing at an exponential rate, it is imperative that these data be captured electronically, in a standard format. Standardization activities must proceed within the auspices of open-access and international working bodies. To tackle the issues surrounding the development of better descriptions of genomic investigations, we have formed the Genomic Standards Consortium (GSC). Here, we introduce the minimum information about a genome sequence (MIGS) specification with the intent of promoting participation in its development and discussing the resources that will be required to develop improved mechanisms of metadata capture and exchange. As part of its wider goals, the GSC also supports improving the {\textquoteright}transparency{\textquoteright} of the information contained in existing genomic databases.}, keywords = {Chromosome mapping, Databases, Factual, information dissemination, Information Storage and Retrieval, Information Theory, Internationality}, author = {Field, Dawn and Garrity, George and Gray, Tanya and Morrison, Norman and J. Selengut and Sterk, Peter and Tatusova, Tatiana and Thomson, Nicholas and Allen, Michael J. and Angiuoli, Samuel V. and Ashburner, Michael and Axelrod, Nelson and Baldauf, Sandra and Ballard, Stuart and Boore, Jeffrey and Cochrane, Guy and Cole, James and Dawyndt, Peter and De Vos, Paul and DePamphilis, Claude and Edwards, Robert and Faruque, Nadeem and Feldman, Robert and Gilbert, Jack and Gilna, Paul and Gl{\"o}ckner, Frank Oliver and Goldstein, Philip and Guralnick, Robert and Haft, Dan and Hancock, David and Hermjakob, Henning and Hertz-Fowler, Christiane and Hugenholtz, Phil and Joint, Ian and Kagan, Leonid and Kane, Matthew and Kennedy, Jessie and Kowalchuk, George and Kottmann, Renzo and Kolker, Eugene and Kravitz, Saul and Kyrpides, Nikos and Leebens-Mack, Jim and Lewis, Suzanna E. and Li, Kelvin and Lister, Allyson L. and Lord, Phillip and Maltsev, Natalia and Markowitz, Victor and Martiny, Jennifer and Methe, Barbara and Mizrachi, Ilene and Moxon, Richard and Nelson, Karen and Parkhill, Julian and Proctor, Lita and White, Owen and Sansone, Susanna-Assunta and Spiers, Andrew and Stevens, Robert and Swift, Paul and Taylor, Chris and Tateno, Yoshio and Tett, Adrian and Turner, Sarah and Ussery, David and Vaughan, Bob and Ward, Naomi and Whetzel, Trish and San Gil, Ingio and Wilson, Gareth and Wipat, Anil} } @article {38388, title = {A molecular footprint of limb loss: sequence variation of the autopodial identity gene Hoxa-13}, journal = {J Mol EvolJ Mol Evol}, volume = {67}, year = {2008}, type = {10.1007/s00239-008-9156-7}, abstract = {The homeobox gene Hoxa-13 codes for a transcription factor involved in multiple functions, including body axis and hand/foot development in tetrapods. In this study we investigate whether the loss of one function (e.g., limb loss in snakes) left a molecular footprint in exon 1 of Hoxa-13 that could be associated with the release of functional constraints caused by limb loss. Fragments of the Hoxa-13 exon 1 were sequenced from 13 species and analyzed, with additional published sequences of the same region, using relative rates and likelihood-ratio tests. Five amino acid sites in exon 1 of Hoxa-13 were detected as evolving under positive selection in the stem lineage of snakes. To further investigate whether there is an association between limb loss and sequence variation in Hoxa-13, we used the random forest method on an alignment that included shark, basal fish lineages, and "eu-tetrapods" such as mammals, turtle, alligator, and birds. The random forest method approaches the problem as one of classification, where we seek to predict the presence or absence of autopodium based on amino acid variation in Hoxa-13 sequences. Different alignments tested were associated with similar error rates (18.42\%). The random forest method suggested that phenotypic states (autopodium present and absent) can often be correctly predicted based on Hoxa-13 sequences. Basal, nontetrapod gnat-hostomes that never had an autopodium were consistently classified as limbless together with the snakes, while eu-tetrapods without any history of limb loss in their phylogeny were also consistently classified as having a limb. Misclassifications affected mostly lizards, which, as a group, have a history of limb loss and limb re-evolution, and the urodele and caecilian in our sample. We conclude that a molecular footprint can be detected in Hoxa-13 that is associated with the lack of an autopodium; groups with classification ambiguity (lizards) are characterized by a history of repeated limb loss and possible limb re-evolution.}, author = {Kohlsdorf, T. and Michael P. Cummings and Lynch, V. J. and Stopper, G. F. and Takahashi, K. and Wagner, G. P.} } @article {49643, title = {Schistosoma mansoni: Microarray analysis of gene expression induced by host sex.}, journal = {Exp Parasitol}, volume = {120}, year = {2008}, month = {2008 Dec}, pages = {357-63}, abstract = {

Schistosoma mansoni is a digenetic trematode and a human parasite responsible for high social and economic impact. Although some authors have studied the effect of host hormones on parasites, not much is known about the effects of host sex on gene expression in Schistosomes. In order to study gene transcripts associated with the host sex, we compared the gene expression profiles of both male and female unisexual adult S. mansoni parasites raised on either male or female hosts, using DNA microarrays. Our results show that host sex caused differential expression of at least 11 genes in female parasites and of 134 in male parasites. Of the differentially expressed genes in female worms, 10 were preferentially expressed in female worms from male mice, while of the 134 differentially expressed genes in male parasites, 79 (59\%) were preferentially expressed in worms from female mice. Further investigation of the role of each of those genes will help understand better their importance in the pathogenesis of Schistosomiasis.

}, keywords = {Animals, Biomphalaria, Female, Gene expression, Host-Parasite Interactions, Male, Mice, Oligonucleotide Array Sequence Analysis, Reverse Transcriptase Polymerase Chain Reaction, RNA, Helminth, Schistosoma mansoni, Schistosomiasis mansoni, Sex Factors}, issn = {1090-2449}, doi = {10.1016/j.exppara.2008.09.005}, author = {Waisberg, M and Lobo, F P and Cerqueira, G C and Passos, L K J and Carvalho, O S and El-Sayed, N M and Franco, G R} } @article {38136, title = {Bio-STEER: A Semantic Web workflow tool for Grid computing in the life sciences}, journal = {Future Generation Comp SystFuture Generation Comp Syst}, volume = {23}, year = {2007}, type = {DOI 10.1016/j.future.2006.07.011}, abstract = {Life science research is becoming evermore computationally intensive. Hence, from a computational resource perspective, Grid computing provides a logical approach to meeting many of the computational needs of life science research. However, there are several barriers to the widespread use of Grid computing in life sciences. In this paper, we attempt to address one particular barrier: the difficulty of using Grid computing by life scientists. Life science research often involves connecting multiple applications together to form a workflow. This process of constructing a workflow is complex. When combined with the difficulty of using Grid services, composing a meaningful workflow using Grid services can present a challenge to life scientists. Our proposed solution is a Semantic Web-enabled computing environment, called Bio-STEER. In BioSTEER, bioinformatics Grid services are mapped to Semantic Web services, described in OWL-S. We also defined an ontology in OWL to model bioinformatics applications. A graphical user interface helps to construct a scientific workflow by showing a list of services that are semantically sound: that is, the output of one service is semantically compatible with the input of the connecting service. Bio-STEER can help users take full advantaue of Grid services through a user-friendly graphical user interface (GUI), which allows them to easily construct the workflows they need. (c) 2006 Elsevier B.V. All rights reserved.}, keywords = {client/server, distributed, ENVIRONMENTS, integrated, interface, management, semantics, services, systems, user, web-base, workflow}, author = {Lee, S. and Wang, T. D. and Hashmi, N. and Michael P. Cummings} } @proceedings {38139, title = {Bridging art and science with creativity support tools}, year = {2007}, month = {2007}, publisher = {ACM}, type = {10.1145/1254960.1255044}, address = {New York, NY, USA}, isbn = {978-1-59593-712-4}, author = {Shneiderman, Ben and Rita R. Colwell and Diamond, Sara and Greenhalgh, Paul and Wulf, William} } @article {38172, title = {COMPUTATIONAL BIOLOGY}, journal = {Nucleic acids researchNucleic Acids Research}, volume = {35}, year = {2007}, publisher = {Information Retrieval Ltd}, author = {Leparc, G. G. and Mitra, R. D. and Vardhanabhuti, S. and Wang, J. and Sridhar Hannenhalli and Smit, S. and Widmann, J. and Knight, R. and Wu, S. and Zhang, Y. and others,} } @article {38215, title = {Draft genome of the filarial nematode parasite Brugia malayi}, journal = {ScienceScience}, volume = {317}, year = {2007}, publisher = {American Association for the Advancement of Science}, author = {Ghedin, E. and Wang, S. and Spiro, D. and Caler, E. and Zhao, Q. and Crabtree, J. and Allen, J. E. and Delcher, A. L. and Guiliano, D. B. and Miranda-Saavedra, D. and others,} } @article {38242, title = {Evolution of genes and genomes on the Drosophila phylogeny}, journal = {NatureNature}, volume = {450}, year = {2007}, note = {[szlig]}, type = {10.1038/nature06341}, abstract = {Comparative analysis of multiple genomes in a phylogenetic framework dramatically improves the precision and sensitivity of evolutionary inference, producing more robust results than single-genome analyses can provide. The genomes of 12 Drosophila species, ten of which are presented here for the first time (sechellia, simulans, yakuba, erecta, ananassae, persimilis, willistoni, mojavensis, virilis and grimshawi), illustrate how rates and patterns of sequence divergence across taxa can illuminate evolutionary processes on a genomic scale. These genome sequences augment the formidable genetic tools that have made Drosophila melanogaster a pre-eminent model for animal genetics, and will further catalyse fundamental research on mechanisms of development, cell biology, genetics, disease, neurobiology, behaviour, physiology and evolution. Despite remarkable similarities among these Drosophila species, we identified many putatively non-neutral changes in protein-coding genes, non-coding RNA genes, and cis-regulatory regions. These may prove to underlie differences in the ecology and behaviour of these diverse species.}, isbn = {0028-0836}, author = {Clark, Andrew G. and Eisen, Michael B. and Smith, Douglas R. and Bergman, Casey M. and Oliver, Brian and Markow, Therese A. and Kaufman, Thomas C. and Kellis, Manolis and Gelbart, William and Iyer, Venky N. and Pollard, Daniel A. and Sackton, Timothy B. and Larracuente, Amanda M. and Singh, Nadia D. and Abad, Jose P. and Abt, Dawn N. and Adryan, Boris and Aguade, Montserrat and Akashi, Hiroshi and Anderson, Wyatt W. and Aquadro, Charles F. and Ardell, David H. and Arguello, Roman and Artieri, Carlo G. and Barbash, Daniel A. and Barker, Daniel and Barsanti, Paolo and Batterham, Phil and Batzoglou, Serafim and Begun, Dave and Bhutkar, Arjun and Blanco, Enrico and Bosak, Stephanie A. and Bradley, Robert K. and Brand, Adrianne D. and Brent, Michael R. and Brooks, Angela N. and Brown, Randall H. and Butlin, Roger K. and Caggese, Corrado and Calvi, Brian R. and Carvalho, A. Bernardo de and Caspi, Anat and Castrezana, Sergio and Celniker, Susan E. and Chang, Jean L. and Chapple, Charles and Chatterji, Sourav and Chinwalla, Asif and Civetta, Alberto and Clifton, Sandra W. and Comeron, Josep M. and Costello, James C. and Coyne, Jerry A. and Daub, Jennifer and David, Robert G. and Delcher, Arthur L. and Delehaunty, Kim and Do, Chuong B. and Ebling, Heather and Edwards, Kevin and Eickbush, Thomas and Evans, Jay D. and Filipski, Alan and Findei, and Sven and Freyhult, Eva and Fulton, Lucinda and Fulton, Robert and Garcia, Ana C. L. and Gardiner, Anastasia and Garfield, David A. and Garvin, Barry E. and Gibson, Greg and Gilbert, Don and Gnerre, Sante and Godfrey, Jennifer and Good, Robert and Gotea, Valer and Gravely, Brenton and Greenberg, Anthony J. and Griffiths-Jones, Sam and Gross, Samuel and Guigo, Roderic and Gustafson, Erik A. and Haerty, Wilfried and Hahn, Matthew W. and Halligan, Daniel L. and Halpern, Aaron L. and Halter, Gillian M. and Han, Mira V. and Heger, Andreas and Hillier, LaDeana and Hinrichs, Angie S. and Holmes, Ian and Hoskins, Roger A. and Hubisz, Melissa J. and Hultmark, Dan and Huntley, Melanie A. and Jaffe, David B. and Jagadeeshan, Santosh and Jeck, William R. and Johnson, Justin and Jones, Corbin D. and Jordan, William C. and Karpen, Gary H. and Kataoka, Eiko and Keightley, Peter D. and Kheradpour, Pouya and Kirkness, Ewen F. and Koerich, Leonardo B. and Kristiansen, Karsten and Kudrna, Dave and Kulathinal, Rob J. and Kumar, Sudhir and Kwok, Roberta and Lander, Eric and Langley, Charles H. and Lapoint, Richard and Lazzaro, Brian P. and Lee, So-Jeong and Levesque, Lisa and Li, Ruiqiang and Lin, Chiao-Feng and Lin, Michael F. and Lindblad-Toh, Kerstin and Llopart, Ana and Long, Manyuan and Low, Lloyd and Lozovsky, Elena and Lu, Jian and Luo, Meizhong and Machado, Carlos A. and Makalowski, Wojciech and Marzo, Mar and Matsuda, Muneo and Matzkin, Luciano and McAllister, Bryant and McBride, Carolyn S. and McKernan, Brendan and McKernan, Kevin and Mendez-Lago, Maria and Minx, Patrick and Mollenhauer, Michael U. and Montooth, Kristi and Stephen M. Mount and Mu, Xu and Myers, Eugene and Negre, Barbara and Newfeld, Stuart and Nielsen, Rasmus and Noor, Mohamed A. F. and O{\textquoteright}Grady, Patrick and Pachter, Lior and Papaceit, Montserrat and Parisi, Matthew J. and Parisi, Michael and Parts, Leopold and Pedersen, Jakob S. and Pesole, Graziano and Phillippy, Adam M. and Ponting, Chris P. and M. Pop and Porcelli, Damiano and Powell, Jeffrey R. and Prohaska, Sonja and Pruitt, Kim and Puig, Marta and Quesneville, Hadi and Ram, Kristipati Ravi and Rand, David and Rasmussen, Matthew D. and Reed, Laura K. and Reenan, Robert and Reily, Amy and Remington, Karin A. and Rieger, Tania T. and Ritchie, Michael G. and Robin, Charles and Rogers, Yu-Hui and Rohde, Claudia and Rozas, Julio and Rubenfield, Marc J. and Ruiz, Alfredo and Russo, Susan and Salzberg, Steven L. and Sanchez-Gracia, Alejandro and Saranga, David J. and Sato, Hajime and Schaeffer, Stephen W. and Schatz, Michael C. and Schlenke, Todd and Schwartz, Russell and Segarra, Carmen and Singh, Rama S. and Sirot, Laura and Sirota, Marina and Sisneros, Nicholas B. and Smith, Chris D. and Smith, Temple F. and Spieth, John and Stage, Deborah E. and Stark, Alexander and Stephan, Wolfgang and Strausberg, Robert L. and Strempel, Sebastian and Sturgill, David and Sutton, Granger and Sutton, Granger G. and Tao, Wei and Teichmann, Sarah and Tobari, Yoshiko N. and Tomimura, Yoshihiko and Tsolas, Jason M. and Valente, Vera L. S. and Venter, Eli and Venter, J. Craig and Vicario, Saverio and Vieira, Filipe G. and Vilella, Albert J. and Villasante, Alfredo and Walenz, Brian and Wang, Jun and Wasserman, Marvin and Watts, Thomas and Wilson, Derek and Wilson, Richard K. and Wing, Rod A. and Wolfner, Mariana F. and Wong, Alex and Wong, Gane Ka-Shu and Wu, Chung- I. and Wu, Gabriel and Yamamoto, Daisuke and Yang, Hsiao-Pei and Yang, Shiaw-Pyng and Yorke, James A. and Yoshida, Kiyohito and Zdobnov, Evgeny and Zhang, Peili and Zhang, Yu and Zimin, Aleksey V. and Baldwin, Jennifer and Abdouelleil, Amr and Abdulkadir, Jamal and Abebe, Adal and Abera, Brikti and Abreu, Justin and Acer, St Christophe and Aftuck, Lynne and Alexander, Allen and An, Peter and Anderson, Erica and Anderson, Scott and Arachi, Harindra and Azer, Marc and Bachantsang, Pasang and Barry, Andrew and Bayul, Tashi and Berlin, Aaron and Bessette, Daniel and Bloom, Toby and Blye, Jason and Boguslavskiy, Leonid and Bonnet, Claude and Boukhgalter, Boris and Bourzgui, Imane and Brown, Adam and Cahill, Patrick and Channer, Sheridon and Cheshatsang, Yama and Chuda, Lisa and Citroen, Mieke and Collymore, Alville and Cooke, Patrick and Costello, Maura and D{\textquoteright}Aco, Katie and Daza, Riza and Haan, Georgius De and DeGray, Stuart and DeMaso, Christina and Dhargay, Norbu and Dooley, Kimberly and Dooley, Erin and Doricent, Missole and Dorje, Passang and Dorjee, Kunsang and Dupes, Alan and Elong, Richard and Falk, Jill and Farina, Abderrahim and Faro, Susan and Ferguson, Diallo and Fisher, Sheila and Foley, Chelsea D. and Franke, Alicia and Friedrich, Dennis and Gadbois, Loryn and Gearin, Gary and Gearin, Christina R. and Giannoukos, Georgia and Goode, Tina and Graham, Joseph and Grandbois, Edward and Grewal, Sharleen and Gyaltsen, Kunsang and Hafez, Nabil and Hagos, Birhane and Hall, Jennifer and Henson, Charlotte and Hollinger, Andrew and Honan, Tracey and Huard, Monika D. and Hughes, Leanne and Hurhula, Brian and Husby, M. Erii and Kamat, Asha and Kanga, Ben and Kashin, Seva and Khazanovich, Dmitry and Kisner, Peter and Lance, Krista and Lara, Marcia and Lee, William and Lennon, Niall and Letendre, Frances and LeVine, Rosie and Lipovsky, Alex and Liu, Xiaohong and Liu, Jinlei and Liu, Shangtao and Lokyitsang, Tashi and Lokyitsang, Yeshi and Lubonja, Rakela and Lui, Annie and MacDonald, Pen and Magnisalis, Vasilia and Maru, Kebede and Matthews, Charles and McCusker, William and McDonough, Susan and Mehta, Teena and Meldrim, James and Meneus, Louis and Mihai, Oana and Mihalev, Atanas and Mihova, Tanya and Mittelman, Rachel and Mlenga, Valentine and Montmayeur, Anna and Mulrain, Leonidas and Navidi, Adam and Naylor, Jerome and Negash, Tamrat and Nguyen, Thu and Nguyen, Nga and Nicol, Robert and Norbu, Choe and Norbu, Nyima and Novod, Nathaniel and O{\textquoteright}Neill, Barry and Osman, Sahal and Markiewicz, Eva and Oyono, Otero L. and Patti, Christopher and Phunkhang, Pema and Pierre, Fritz and Priest, Margaret and Raghuraman, Sujaa and Rege, Filip and Reyes, Rebecca and Rise, Cecil and Rogov, Peter and Ross, Keenan and Ryan, Elizabeth and Settipalli, Sampath and Shea, Terry and Sherpa, Ngawang and Shi, Lu and Shih, Diana and Sparrow, Todd and Spaulding, Jessica and Stalker, John and Stange-Thomann, Nicole and Stavropoulos, Sharon and Stone, Catherine and Strader, Christopher and Tesfaye, Senait and Thomson, Talene and Thoulutsang, Yama and Thoulutsang, Dawa and Topham, Kerri and Topping, Ira and Tsamla, Tsamla and Vassiliev, Helen and Vo, Andy and Wangchuk, Tsering and Wangdi, Tsering and Weiand, Michael and Wilkinson, Jane and Wilson, Adam and Yadav, Shailendra and Young, Geneva and Yu, Qing and Zembek, Lisa and Zhong, Danni and Zimmer, Andrew and Zwirko, Zac and Jaffe, David B. and Alvarez, Pablo and Brockman, Will and Butler, Jonathan and Chin, CheeWhye and Gnerre, Sante and Grabherr, Manfred and Kleber, Michael and Mauceli, Evan and MacCallum, Iain} } @article {49677, title = {Evolution of genes and genomes on the Drosophila phylogeny.}, journal = {Nature}, volume = {450}, year = {2007}, month = {2007 Nov 8}, pages = {203-18}, abstract = {

Comparative analysis of multiple genomes in a phylogenetic framework dramatically improves the precision and sensitivity of evolutionary inference, producing more robust results than single-genome analyses can provide. The genomes of 12 Drosophila species, ten of which are presented here for the first time (sechellia, simulans, yakuba, erecta, ananassae, persimilis, willistoni, mojavensis, virilis and grimshawi), illustrate how rates and patterns of sequence divergence across taxa can illuminate evolutionary processes on a genomic scale. These genome sequences augment the formidable genetic tools that have made Drosophila melanogaster a pre-eminent model for animal genetics, and will further catalyse fundamental research on mechanisms of development, cell biology, genetics, disease, neurobiology, behaviour, physiology and evolution. Despite remarkable similarities among these Drosophila species, we identified many putatively non-neutral changes in protein-coding genes, non-coding RNA genes, and cis-regulatory regions. These may prove to underlie differences in the ecology and behaviour of these diverse species.

}, keywords = {Animals, Codon, DNA Transposable Elements, Drosophila, Drosophila Proteins, Evolution, Molecular, Gene Order, Genes, Insect, Genome, Insect, Genome, Mitochondrial, Genomics, Immunity, Multigene Family, Phylogeny, Reproduction, RNA, Untranslated, sequence alignment, Sequence Analysis, DNA, Synteny}, issn = {1476-4687}, doi = {10.1038/nature06341}, author = {Clark, Andrew G and Eisen, Michael B and Smith, Douglas R and Bergman, Casey M and Oliver, Brian and Markow, Therese A and Kaufman, Thomas C and Kellis, Manolis and Gelbart, William and Iyer, Venky N and Pollard, Daniel A and Sackton, Timothy B and Larracuente, Amanda M and Singh, Nadia D and Abad, Jose P and Abt, Dawn N and Adryan, Boris and Aguade, Montserrat and Akashi, Hiroshi and Anderson, Wyatt W and Aquadro, Charles F and Ardell, David H and Arguello, Roman and Artieri, Carlo G and Barbash, Daniel A and Barker, Daniel and Barsanti, Paolo and Batterham, Phil and Batzoglou, Serafim and Begun, Dave and Bhutkar, Arjun and Blanco, Enrico and Bosak, Stephanie A and Bradley, Robert K and Brand, Adrianne D and Brent, Michael R and Brooks, Angela N and Brown, Randall H and Butlin, Roger K and Caggese, Corrado and Calvi, Brian R and Bernardo de Carvalho, A and Caspi, Anat and Castrezana, Sergio and Celniker, Susan E and Chang, Jean L and Chapple, Charles and Chatterji, Sourav and Chinwalla, Asif and Civetta, Alberto and Clifton, Sandra W and Comeron, Josep M and Costello, James C and Coyne, Jerry A and Daub, Jennifer and David, Robert G and Delcher, Arthur L and Delehaunty, Kim and Do, Chuong B and Ebling, Heather and Edwards, Kevin and Eickbush, Thomas and Evans, Jay D and Filipski, Alan and Findeiss, Sven and Freyhult, Eva and Fulton, Lucinda and Fulton, Robert and Garcia, Ana C L and Gardiner, Anastasia and Garfield, David A and Garvin, Barry E and Gibson, Greg and Gilbert, Don and Gnerre, Sante and Godfrey, Jennifer and Good, Robert and Gotea, Valer and Gravely, Brenton and Greenberg, Anthony J and Griffiths-Jones, Sam and Gross, Samuel and Guigo, Roderic and Gustafson, Erik A and Haerty, Wilfried and Hahn, Matthew W and Halligan, Daniel L and Halpern, Aaron L and Halter, Gillian M and Han, Mira V and Heger, Andreas and Hillier, LaDeana and Hinrichs, Angie S and Holmes, Ian and Hoskins, Roger A and Hubisz, Melissa J and Hultmark, Dan and Huntley, Melanie A and Jaffe, David B and Jagadeeshan, Santosh and Jeck, William R and Johnson, Justin and Jones, Corbin D and Jordan, William C and Karpen, Gary H and Kataoka, Eiko and Keightley, Peter D and Kheradpour, Pouya and Kirkness, Ewen F and Koerich, Leonardo B and Kristiansen, Karsten and Kudrna, Dave and Kulathinal, Rob J and Kumar, Sudhir and Kwok, Roberta and Lander, Eric and Langley, Charles H and Lapoint, Richard and Lazzaro, Brian P and Lee, So-Jeong and Levesque, Lisa and Li, Ruiqiang and Lin, Chiao-Feng and Lin, Michael F and Lindblad-Toh, Kerstin and Llopart, Ana and Long, Manyuan and Low, Lloyd and Lozovsky, Elena and Lu, Jian and Luo, Meizhong and Machado, Carlos A and Makalowski, Wojciech and Marzo, Mar and Matsuda, Muneo and Matzkin, Luciano and McAllister, Bryant and McBride, Carolyn S and McKernan, Brendan and McKernan, Kevin and Mendez-Lago, Maria and Minx, Patrick and Mollenhauer, Michael U and Montooth, Kristi and Mount, Stephen M and Mu, Xu and Myers, Eugene and Negre, Barbara and Newfeld, Stuart and Nielsen, Rasmus and Noor, Mohamed A F and O{\textquoteright}Grady, Patrick and Pachter, Lior and Papaceit, Montserrat and Parisi, Matthew J and Parisi, Michael and Parts, Leopold and Pedersen, Jakob S and Pesole, Graziano and Phillippy, Adam M and Ponting, Chris P and Pop, Mihai and Porcelli, Damiano and Powell, Jeffrey R and Prohaska, Sonja and Pruitt, Kim and Puig, Marta and Quesneville, Hadi and Ram, Kristipati Ravi and Rand, David and Rasmussen, Matthew D and Reed, Laura K and Reenan, Robert and Reily, Amy and Remington, Karin A and Rieger, Tania T and Ritchie, Michael G and Robin, Charles and Rogers, Yu-Hui and Rohde, Claudia and Rozas, Julio and Rubenfield, Marc J and Ruiz, Alfredo and Russo, Susan and Salzberg, Steven L and Sanchez-Gracia, Alejandro and Saranga, David J and Sato, Hajime and Schaeffer, Stephen W and Schatz, Michael C and Schlenke, Todd and Schwartz, Russell and Segarra, Carmen and Singh, Rama S and Sirot, Laura and Sirota, Marina and Sisneros, Nicholas B and Smith, Chris D and Smith, Temple F and Spieth, John and Stage, Deborah E and Stark, Alexander and Stephan, Wolfgang and Strausberg, Robert L and Strempel, Sebastian and Sturgill, David and Sutton, Granger and Sutton, Granger G and Tao, Wei and Teichmann, Sarah and Tobari, Yoshiko N and Tomimura, Yoshihiko and Tsolas, Jason M and Valente, Vera L S and Venter, Eli and Venter, J Craig and Vicario, Saverio and Vieira, Filipe G and Vilella, Albert J and Villasante, Alfredo and Walenz, Brian and Wang, Jun and Wasserman, Marvin and Watts, Thomas and Wilson, Derek and Wilson, Richard K and Wing, Rod A and Wolfner, Mariana F and Wong, Alex and Wong, Gane Ka-Shu and Wu, Chung-I and Wu, Gabriel and Yamamoto, Daisuke and Yang, Hsiao-Pei and Yang, Shiaw-Pyng and Yorke, James A and Yoshida, Kiyohito and Zdobnov, Evgeny and Zhang, Peili and Zhang, Yu and Zimin, Aleksey V and Baldwin, Jennifer and Abdouelleil, Amr and Abdulkadir, Jamal and Abebe, Adal and Abera, Brikti and Abreu, Justin and Acer, St Christophe and Aftuck, Lynne and Alexander, Allen and An, Peter and Anderson, Erica and Anderson, Scott and Arachi, Harindra and Azer, Marc and Bachantsang, Pasang and Barry, Andrew and Bayul, Tashi and Berlin, Aaron and Bessette, Daniel and Bloom, Toby and Blye, Jason and Boguslavskiy, Leonid and Bonnet, Claude and Boukhgalter, Boris and Bourzgui, Imane and Brown, Adam and Cahill, Patrick and Channer, Sheridon and Cheshatsang, Yama and Chuda, Lisa and Citroen, Mieke and Collymore, Alville and Cooke, Patrick and Costello, Maura and D{\textquoteright}Aco, Katie and Daza, Riza and De Haan, Georgius and DeGray, Stuart and DeMaso, Christina and Dhargay, Norbu and Dooley, Kimberly and Dooley, Erin and Doricent, Missole and Dorje, Passang and Dorjee, Kunsang and Dupes, Alan and Elong, Richard and Falk, Jill and Farina, Abderrahim and Faro, Susan and Ferguson, Diallo and Fisher, Sheila and Foley, Chelsea D and Franke, Alicia and Friedrich, Dennis and Gadbois, Loryn and Gearin, Gary and Gearin, Christina R and Giannoukos, Georgia and Goode, Tina and Graham, Joseph and Grandbois, Edward and Grewal, Sharleen and Gyaltsen, Kunsang and Hafez, Nabil and Hagos, Birhane and Hall, Jennifer and Henson, Charlotte and Hollinger, Andrew and Honan, Tracey and Huard, Monika D and Hughes, Leanne and Hurhula, Brian and Husby, M Erii and Kamat, Asha and Kanga, Ben and Kashin, Seva and Khazanovich, Dmitry and Kisner, Peter and Lance, Krista and Lara, Marcia and Lee, William and Lennon, Niall and Letendre, Frances and LeVine, Rosie and Lipovsky, Alex and Liu, Xiaohong and Liu, Jinlei and Liu, Shangtao and Lokyitsang, Tashi and Lokyitsang, Yeshi and Lubonja, Rakela and Lui, Annie and MacDonald, Pen and Magnisalis, Vasilia and Maru, Kebede and Matthews, Charles and McCusker, William and McDonough, Susan and Mehta, Teena and Meldrim, James and Meneus, Louis and Mihai, Oana and Mihalev, Atanas and Mihova, Tanya and Mittelman, Rachel and Mlenga, Valentine and Montmayeur, Anna and Mulrain, Leonidas and Navidi, Adam and Naylor, Jerome and Negash, Tamrat and Nguyen, Thu and Nguyen, Nga and Nicol, Robert and Norbu, Choe and Norbu, Nyima and Novod, Nathaniel and O{\textquoteright}Neill, Barry and Osman, Sahal and Markiewicz, Eva and Oyono, Otero L and Patti, Christopher and Phunkhang, Pema and Pierre, Fritz and Priest, Margaret and Raghuraman, Sujaa and Rege, Filip and Reyes, Rebecca and Rise, Cecil and Rogov, Peter and Ross, Keenan and Ryan, Elizabeth and Settipalli, Sampath and Shea, Terry and Sherpa, Ngawang and Shi, Lu and Shih, Diana and Sparrow, Todd and Spaulding, Jessica and Stalker, John and Stange-Thomann, Nicole and Stavropoulos, Sharon and Stone, Catherine and Strader, Christopher and Tesfaye, Senait and Thomson, Talene and Thoulutsang, Yama and Thoulutsang, Dawa and Topham, Kerri and Topping, Ira and Tsamla, Tsamla and Vassiliev, Helen and Vo, Andy and Wangchuk, Tsering and Wangdi, Tsering and Weiand, Michael and Wilkinson, Jane and Wilson, Adam and Yadav, Shailendra and Young, Geneva and Yu, Qing and Zembek, Lisa and Zhong, Danni and Zimmer, Andrew and Zwirko, Zac and Jaffe, David B and Alvarez, Pablo and Brockman, Will and Butler, Jonathan and Chin, CheeWhye and Gnerre, Sante and Grabherr, Manfred and Kleber, Michael and Mauceli, Evan and MacCallum, Iain} } @article {38258, title = {Features generated for computational splice-site prediction correspond to functional elements}, journal = {BMC BioinformaticsBMC Bioinformatics}, volume = {8}, year = {2007}, type = {10.1186/1471-2105-8-410}, abstract = {BackgroundAccurate selection of splice sites during the splicing of precursors to messenger RNA requires both relatively well-characterized signals at the splice sites and auxiliary signals in the adjacent exons and introns. We previously described a feature generation algorithm (FGA) that is capable of achieving high classification accuracy on human 3{\textquoteright} splice sites. In this paper, we extend the splice-site prediction to 5{\textquoteright} splice sites and explore the generated features for biologically meaningful splicing signals. Results We present examples from the observed features that correspond to known signals, both core signals (including the branch site and pyrimidine tract) and auxiliary signals (including GGG triplets and exon splicing enhancers). We present evidence that features identified by FGA include splicing signals not found by other methods. Conclusion Our generated features capture known biological signals in the expected sequence interval flanking splice sites. The method can be easily applied to other species and to similar classification problems, such as tissue-specific regulatory elements, polyadenylation sites, promoters, etc.}, isbn = {14712105}, author = {Dogan, Rezarta Islamaj and Getoor, Lise and Wilbur, W. John and Stephen M. Mount} } @article {49678, title = {Features generated for computational splice-site prediction correspond to functional elements.}, journal = {BMC Bioinformatics}, volume = {8}, year = {2007}, month = {2007}, pages = {410}, abstract = {

BACKGROUND: Accurate selection of splice sites during the splicing of precursors to messenger RNA requires both relatively well-characterized signals at the splice sites and auxiliary signals in the adjacent exons and introns. We previously described a feature generation algorithm (FGA) that is capable of achieving high classification accuracy on human 3{\textquoteright} splice sites. In this paper, we extend the splice-site prediction to 5{\textquoteright} splice sites and explore the generated features for biologically meaningful splicing signals.

RESULTS: We present examples from the observed features that correspond to known signals, both core signals (including the branch site and pyrimidine tract) and auxiliary signals (including GGG triplets and exon splicing enhancers). We present evidence that features identified by FGA include splicing signals not found by other methods.

CONCLUSION: Our generated features capture known biological signals in the expected sequence interval flanking splice sites. The method can be easily applied to other species and to similar classification problems, such as tissue-specific regulatory elements, polyadenylation sites, promoters, etc.

}, keywords = {Computational Biology, HUMANS, Predictive Value of Tests, RNA Splice Sites, RNA, Messenger}, issn = {1471-2105}, doi = {10.1186/1471-2105-8-410}, author = {Dogan, Rezarta Islamaj and Getoor, Lise and Wilbur, W John and Mount, Stephen M} } @article {38273, title = {GATA and Nkx factors synergistically regulate tissue-specific gene expression and development in vivo}, journal = {DevelopmentDevelopment}, volume = {134}, year = {2007}, type = {10.1242/dev.02720}, abstract = {In vitro studies have suggested that members of the GATA and Nkx transcription factor families physically interact, and synergistically activate pulmonary epithelial- and cardiac-gene promoters. However, the relevance of this synergy has not been demonstrated in vivo. We show that Gata6-Titf1 (Gata6-Nkx2.1) double heterozygous (G6-Nkx DH) embryos and mice have severe defects in pulmonary epithelial differentiation and distal airway development, as well as reduced phospholipid production. The defects in G6-Nkx DH embryos and mice are similar to those observed in human neonates with respiratory distress syndromes, including bronchopulmonary dysplasia, and differential gene expression analysis reveals essential developmental pathways requiring synergistic regulation by both Gata6 and Titf1 (Nkx2.1). These studies indicate that Gata6 and Nkx2.1 act in a synergistic manner to direct pulmonary epithelial differentiation and development in vivo, providing direct evidence that interactions between these two transcription factor families are crucial for the development of the tissues in which they are co-expressed.}, author = {Zhang, Yuzhen and Rath, Nibedita and Sridhar Hannenhalli and Wang, Zhishan and Cappola, Thomas and Kimura, Shioko and Atochina-Vasserman, Elena and Lu, Min Min and Beers, Michael F. and Morrisey, Edward E.} } @article {49782, title = {Genome sequence and identification of candidate vaccine antigens from the animal pathogen Dichelobacter nodosus.}, journal = {Nat Biotechnol}, volume = {25}, year = {2007}, month = {2007 May}, pages = {569-75}, abstract = {

Dichelobacter nodosus causes ovine footrot, a disease that leads to severe economic losses in the wool and meat industries. We sequenced its 1.4-Mb genome, the smallest known genome of an anaerobe. It differs markedly from small genomes of intracellular bacteria, retaining greater biosynthetic capabilities and lacking any evidence of extensive ongoing genome reduction. Comparative genomic microarray studies and bioinformatic analysis suggested that, despite its small size, almost 20\% of the genome is derived from lateral gene transfer. Most of these regions seem to be associated with virulence. Metabolic reconstruction indicated unsuspected capabilities, including carbohydrate utilization, electron transfer and several aerobic pathways. Global transcriptional profiling and bioinformatic analysis enabled the prediction of virulence factors and cell surface proteins. Screening of these proteins against ovine antisera identified eight immunogenic proteins that are candidate antigens for a cross-protective vaccine.

}, keywords = {Animals, Antigens, Chromosome mapping, Dichelobacter nodosus, Foot Rot, Genome, Bacterial, Sequence Analysis, DNA}, issn = {1087-0156}, doi = {10.1038/nbt1302}, author = {Myers, Garry S A and Parker, Dane and Al-Hasani, Keith and Kennan, Ruth M and Seemann, Torsten and Ren, Qinghu and Badger, Jonathan H and Selengut, Jeremy D and DeBoy, Robert T and Tettelin, Herv{\'e} and Boyce, John D and McCarl, Victoria P and Han, Xiaoyan and Nelson, William C and Madupu, Ramana and Mohamoud, Yasmin and Holley, Tara and Fedorova, Nadia and Khouri, Hoda and Bottomley, Steven P and Whittington, Richard J and Adler, Ben and Songer, J Glenn and Rood, Julian I and Paulsen, Ian T} } @article {38296, title = {Genome sequence and identification of candidate vaccine antigens from the animal pathogen Dichelobacter nodosus}, journal = {Nature biotechnologyNature biotechnology}, volume = {25}, year = {2007}, note = {http://www.ncbi.nlm.nih.gov/pubmed/17468768?dopt=Abstract}, type = {10.1038/nbt1302}, abstract = {Dichelobacter nodosus causes ovine footrot, a disease that leads to severe economic losses in the wool and meat industries. We sequenced its 1.4-Mb genome, the smallest known genome of an anaerobe. It differs markedly from small genomes of intracellular bacteria, retaining greater biosynthetic capabilities and lacking any evidence of extensive ongoing genome reduction. Comparative genomic microarray studies and bioinformatic analysis suggested that, despite its small size, almost 20\% of the genome is derived from lateral gene transfer. Most of these regions seem to be associated with virulence. Metabolic reconstruction indicated unsuspected capabilities, including carbohydrate utilization, electron transfer and several aerobic pathways. Global transcriptional profiling and bioinformatic analysis enabled the prediction of virulence factors and cell surface proteins. Screening of these proteins against ovine antisera identified eight immunogenic proteins that are candidate antigens for a cross-protective vaccine.}, keywords = {Animals, Antigens, Chromosome mapping, Dichelobacter nodosus, Foot Rot, Genome, Bacterial, Sequence Analysis, DNA}, author = {Myers, Garry S. A. and Parker, Dane and Al-Hasani, Keith and Kennan, Ruth M. and Seemann, Torsten and Ren, Qinghu and Badger, Jonathan H. and J. Selengut and DeBoy, Robert T. and Tettelin, Herv{\'e} and Boyce, John D. and McCarl, Victoria P. and Han, Xiaoyan and Nelson, William C. and Madupu, Ramana and Mohamoud, Yasmin and Holley, Tara and Fedorova, Nadia and Khouri, Hoda and Bottomley, Steven P. and Whittington, Richard J. and Adler, Ben and Songer, J. Glenn and Rood, Julian I. and Paulsen, Ian T.} } @article {38311, title = {Genome-wide expression profiling and bioinformatics analysis of diurnally regulated genes in the mouse prefrontal cortex}, journal = {Genome BiolGenome Biol}, volume = {8}, year = {2007}, author = {Yang, S. and Wang, K. and Valladares, O. and Sridhar Hannenhalli and Bucan, M. and others,} } @article {38375, title = {MetaProm: a neural network based meta-predictor for alternative human promoter prediction}, journal = {BMC genomicsBMC Genomics}, volume = {8}, year = {2007}, publisher = {BioMed Central Ltd}, author = {Wang, J. and Ungar, L. H. and Tseng, H. and Sridhar Hannenhalli} } @book {49866, title = {Methods in Molecular BiologyComparative GenomicsAnalyzing Patterns of Microbial Evolution Using the Mauve Genome Alignment System}, volume = {396}, year = {2007}, pages = {135 - 152}, publisher = {Humana Press}, organization = {Humana Press}, address = {Totowa, NJ}, isbn = {978-1-934115-37-4}, issn = {1064-3745}, doi = {10.1007/978-1-59745-515-210.1007/978-1-59745-515-2_10}, url = {http://www.springerlink.com/index/10.1007/978-1-59745-515-2http://www.springerlink.com/index/pdf/10.1007/978-1-59745-515-2http://link.springer.com/10.1007/978-1-59745-515-2_10http://www.springerlink.com/index/pdf/10.1007/978-1-59745-515-2_10}, author = {Darling, Aaron E and Todd Treangen and Messeguer, Xavier and Perna, Nicole T}, editor = {Walker, John M. and Bergman, Nicholas H.} } @article {38377, title = {Microarray analysis of gene expression induced by sexual contact in Schistosoma mansoni}, journal = {BMC GenomicsBMC Genomics}, volume = {8}, year = {2007}, type = {10.1186/1471-2164-8-181}, abstract = {BACKGROUND:The parasitic trematode Schistosoma mansoni is one of the major causative agents of Schistosomiasis, a disease that affects approximately 200 million people, mostly in developing countries. Since much of the pathology is associated with eggs laid by the female worm, understanding the mechanisms involved in oogenesis and sexual maturation is an important step towards the discovery of new targets for effective drug therapy. It is known that the adult female worm only develops fully in the presence of a male worm and that the rates of oviposition and maturation of eggs are significantly increased by mating. In order to study gene transcripts associated with sexual maturation and oviposition, we compared the gene expression profiles of sexually mature and immature parasites using DNA microarrays.RESULTS:For each experiment, three amplified RNA microarray hybridizations and their dye swaps were analyzed. Our results show that 265 transcripts are differentially expressed in adult females and 53 in adult males when mature and immature worms are compared. Of the genes differentially expressed, 55\% are expressed at higher levels in paired females while the remaining 45\% are more expressed in unpaired ones and 56.6\% are expressed at higher levels in paired male worms while the remaining 43.4\% are more expressed in immature parasites. Real-time RT-PCR analysis validated the microarray results. Several new maturation associated transcripts were identified. Genes that were up-regulated in single-sex females were mostly related to energy generation (i.e. carbohydrate and protein metabolism, generation of precursor metabolites and energy, cellular catabolism, and organelle organization and biogenesis) while genes that were down-regulated related to RNA metabolism, reactive oxygen species metabolism, electron transport, organelle organization and biogenesis and protein biosynthesis.CONCLUSION:Our results confirm previous observations related to gene expression induced by sexual maturation in female schistosome worms. They also increase the list of S. mansoni maturation associated transcripts considerably, therefore opening new and exciting avenues for the study of the conjugal biology and development of new drugs against schistosomes.}, isbn = {1471-2164}, author = {Waisberg, Michael and Lobo, Francisco and Cerqueira, Gustavo and Passos, Liana and Carvalho, Omar and Franco, Gloria and Najib M. El-Sayed} } @article {49783, title = {New developments in the InterPro database.}, journal = {Nucleic Acids Res}, volume = {35}, year = {2007}, month = {2007 Jan}, pages = {D224-8}, abstract = {

InterPro is an integrated resource for protein families, domains and functional sites, which integrates the following protein signature databases: PROSITE, PRINTS, ProDom, Pfam, SMART, TIGRFAMs, PIRSF, SUPERFAMILY, Gene3D and PANTHER. The latter two new member databases have been integrated since the last publication in this journal. There have been several new developments in InterPro, including an additional reading field, new database links, extensions to the web interface and additional match XML files. InterPro has always provided matches to UniProtKB proteins on the website and in the match XML file on the FTP site. Additional matches to proteins in UniParc (UniProt archive) are now available for download in the new match XML files only. The latest InterPro release (13.0) contains more than 13 000 entries, covering over 78\% of all proteins in UniProtKB. The database is available for text- and sequence-based searches via a webserver (http://www.ebi.ac.uk/interpro), and for download by anonymous FTP (ftp://ftp.ebi.ac.uk/pub/databases/interpro). The InterProScan search tool is now also available via a web service at http://www.ebi.ac.uk/Tools/webservices/WSInterProScan.html.

}, keywords = {Databases, Protein, Internet, Protein Structure, Tertiary, Proteins, Sequence Analysis, Protein, Systems Integration, User-Computer Interface}, issn = {1362-4962}, doi = {10.1093/nar/gkl841}, author = {Mulder, Nicola J and Apweiler, Rolf and Attwood, Teresa K and Bairoch, Amos and Bateman, Alex and Binns, David and Bork, Peer and Buillard, Virginie and Cerutti, Lorenzo and Copley, Richard and Courcelle, Emmanuel and Das, Ujjwal and Daugherty, Louise and Dibley, Mark and Finn, Robert and Fleischmann, Wolfgang and Gough, Julian and Haft, Daniel and Hulo, Nicolas and Hunter, Sarah and Kahn, Daniel and Kanapin, Alexander and Kejariwal, Anish and Labarga, Alberto and Langendijk-Genevaux, Petra S and Lonsdale, David and Lopez, Rodrigo and Letunic, Ivica and Madera, Martin and Maslen, John and McAnulla, Craig and McDowall, Jennifer and Mistry, Jaina and Mitchell, Alex and Nikolskaya, Anastasia N and Orchard, Sandra and Orengo, Christine and Petryszak, Robert and Selengut, Jeremy D and Sigrist, Christian J A and Thomas, Paul D and Valentin, Franck and Wilson, Derek and Wu, Cathy H and Yeats, Corin} } @article {38441, title = {Position and distance specificity are important determinants of cis-regulatory motifs in addition to evolutionary conservation}, journal = {Nucleic Acids ResearchNucleic Acids Research}, volume = {35}, year = {2007}, type = {10.1093/nar/gkm201}, abstract = {Computational discovery of cis-regulatory elements remains challenging. To cope with the high false positives, evolutionary conservation is routinely used. However, conservation is only one of the attributes of cis-regulatory elements and is neither necessary nor sufficient. Here, we assess two additional attributes{\textemdash}positional and inter-motif distance specificity{\textemdash}that are critical for interactions between transcription factors. We first show that for a greater than expected fraction of known motifs, the genes that contain the motifs in their promoters in a position-specific or distance-specific manner are related, both in function and/or in expression pattern. We then use the position and distance specificity to discover novel motifs. Our work highlights the importance of distance and position specificity, in addition to the evolutionary conservation, in discovering cis-regulatory motifs.}, author = {Vardhanabhuti, Saran and Wang, Junwen and Sridhar Hannenhalli} } @article {49679, title = {SplicePort--an interactive splice-site analysis tool.}, journal = {Nucleic Acids Res}, volume = {35}, year = {2007}, month = {2007 Jul}, pages = {W285-91}, abstract = {

SplicePort is a web-based tool for splice-site analysis that allows the user to make splice-site predictions for submitted sequences. In addition, the user can also browse the rich catalog of features that underlies these predictions, and which we have found capable of providing high classification accuracy on human splice sites. Feature selection is optimized for human splice sites, but the selected features are likely to be predictive for other mammals as well. With our interactive feature browsing and visualization tool, the user can view and explore subsets of features used in splice-site prediction (either the features that account for the classification of a specific input sequence or the complete collection of features). Selected feature sets can be searched, ranked or displayed easily. The user can group features into clusters and frequency plot WebLogos can be generated for each cluster. The user can browse the identified clusters and their contributing elements, looking for new interesting signals, or can validate previously observed signals. The SplicePort web server can be accessed at http://www.cs.umd.edu/projects/SplicePort and http://www.spliceport.org.

}, keywords = {Base Sequence, Chromosome mapping, Computational Biology, Computer simulation, DNA, Genome, HUMANS, Internet, Models, Genetic, Molecular Sequence Data, Pattern Recognition, Automated, RNA Splice Sites, sequence alignment, Sequence Analysis, DNA, User-Computer Interface}, issn = {1362-4962}, doi = {10.1093/nar/gkm407}, author = {Dogan, Rezarta Islamaj and Getoor, Lise and Wilbur, W John and Mount, Stephen M} } @article {38511, title = {SplicePort--An interactive splice-site analysis tool}, journal = {Nucleic Acids ResearchNucleic Acids Research}, volume = {35}, year = {2007}, type = {10.1093/nar/gkm407}, abstract = {SplicePort is a web-based tool for splice-site analysis that allows the user to make splice-site predictions for submitted sequences. In addition, the user can also browse the rich catalog of features that underlies these predictions, and which we have found capable of providing high classification accuracy on human splice sites. Feature selection is optimized for human splice sites, but the selected features are likely to be predictive for other mammals as well. With our interactive feature browsing and visualization tool, the user can view and explore subsets of features used in splice-site prediction (either the features that account for the classification of a specific input sequence or the complete collection of features). Selected feature sets can be searched, ranked or displayed easily. The user can group features into clusters and frequency plot WebLogos can be generated for each cluster. The user can browse the identified clusters and their contributing elements, looking for new interesting signals, or can validate previously observed signals. The SplicePort web server can be accessed at http://www.cs.umd.edu/projects/SplicePort and http://www.spliceport.org.}, isbn = {0305-1048, 1362-4962}, author = {Dogan, R. I. and Getoor, Lise and Wilbur, W. J. and Stephen M. Mount} } @article {38530, title = {TIGRFAMs and Genome Properties: tools for the assignment of molecular function and biological process in prokaryotic genomes}, journal = {Nucleic acids researchNucleic Acids Research}, volume = {35}, year = {2007}, note = {http://www.ncbi.nlm.nih.gov/pubmed/17151080?dopt=Abstract}, type = {10.1093/nar/gkl1043}, abstract = {TIGRFAMs is a collection of protein family definitions built to aid in high-throughput annotation of specific protein functions. Each family is based on a hidden Markov model (HMM), where both cutoff scores and membership in the seed alignment are chosen so that the HMMs can classify numerous proteins according to their specific molecular functions. Most TIGRFAMs models describe {\textquoteright}equivalog{\textquoteright} families, where both orthology and lateral gene transfer may be part of the evolutionary history, but where a single molecular function has been conserved. The Genome Properties system contains a queriable set of metabolic reconstructions, genome metrics and extractions of information from the scientific literature. Its genome-by-genome assertions of whether or not specific structures, pathways or systems are present provide high-level conceptual descriptions of genomic content. These assertions enable comparative genomics, provide a meaningful biological context to aid in manual annotation, support assignments of Gene Ontology (GO) biological process terms and help validate HMM-based predictions of protein function. The Genome Properties system is particularly useful as a generator of phylogenetic profiles, through which new protein family functions may be discovered. The TIGRFAMs and Genome Properties systems can be accessed at http://www.tigr.org/TIGRFAMs and http://www.tigr.org/Genome_Properties.}, keywords = {Archaeal Proteins, Bacterial Proteins, Databases, Protein, Genome, Bacterial, Genomics, Internet, Phylogeny, software, User-Computer Interface}, author = {J. Selengut and Haft, Daniel H. and Davidsen, Tanja and Ganapathy, Anurhada and Gwinn-Giglio, Michelle and Nelson, William C. and Richter, R. Alexander and White, Owen} } @article {38547, title = {TREMOR{\textemdash}a tool for retrieving transcriptional modules by incorporating motif covariance}, journal = {Nucleic acids researchNucleic Acids Research}, volume = {35}, year = {2007}, publisher = {Oxford Univ Press}, author = {Singh, L. N. and Wang, L. S. and Sridhar Hannenhalli} } @article {38564, title = {Viable but nonculturable Vibrio cholerae O1 in biofilms in the aquatic environment and their role in cholera transmission}, journal = {Proceedings of the National Academy of SciencesProceedings of the National Academy of Sciences}, volume = {104}, year = {2007}, type = {10.1073/pnas.0705599104}, abstract = {Vibrio cholerae persists in aquatic environments predominantly in a nonculturable state. In this study coccoid, nonculturable V. cholerae O1 in biofilms maintained for 495 days in Mathbaria, Bangladesh, pond water became culturable upon animal passage. Culturability, biofilm formation, and the wbe, ctxA, and rstR2 genes were monitored by culture, direct fluorescent antibody (DFA), and multiplex PCR. DFA counts were not possible after formation of biofilm. Furthermore, wbe, but not ctxA, were amplifiable, even after incubation for 54 and 68 days at room temperature (≈25{\textdegree}C) and 4{\textdegree}C, respectively, when no growth was detectable. Slower biofilm formation and extended culturability were observed for cultures incubated at 4{\textdegree}C, compared with ≈25{\textdegree}C, suggesting biofilm production to be temperature dependent and linked to loss of culturability. Small colonies appearing after incubation in microcosms for 54 and 68 days at 25{\textdegree}C and 4{\textdegree}C, respectively, were wbe positive and ctxA and rstR2 negative, indicating loss of bacteriophage CTXΦ. The coccoid V. cholerae O1 observed as free cells in microcosms incubated for 495 days could not be cultured, but biofilms in the same microcosms yielded culturable cells. It is concluded that biofilms can act as a reservoir for V. cholerae O1 between epidemics because of its long-term viability in biofilms. In contrast to biofilms produced in Mathbaria pond water, V. cholerae O1 in biofilms present in cholera stools and incubated under identical conditions as the Mathbaria pond water biofilms could not be cultured after 2 months, indicating that those V. cholerae cells freshly discharged into the environment are significantly less robust than cells adapted to environmental conditions.Bangladesh bacteriophage CTXΦ DFA multiplex-PCR ctxA}, isbn = {0027-8424, 1091-6490}, author = {Alam, M. and Sultana, M. and Nair, G. B. and Siddique, A. K. and Hasan, N. A. and Sack, R. B. and Sack, D. A. and Ahmed, K. U. and Sadique, A. and Watanabe, H. and Rita R. Colwell} } @article {38159, title = {Comparative genomic evidence for a close relationship between the dimorphic prosthecate bacteria Hyphomonas neptunium and Caulobacter crescentus}, journal = {Journal of bacteriologyJournal of bacteriology}, volume = {188}, year = {2006}, note = {http://www.ncbi.nlm.nih.gov/pubmed/16980487?dopt=Abstract}, type = {10.1128/JB.00111-06}, abstract = {The dimorphic prosthecate bacteria (DPB) are alpha-proteobacteria that reproduce in an asymmetric manner rather than by binary fission and are of interest as simple models of development. Prior to this work, the only member of this group for which genome sequence was available was the model freshwater organism Caulobacter crescentus. Here we describe the genome sequence of Hyphomonas neptunium, a marine member of the DPB that differs from C. crescentus in that H. neptunium uses its stalk as a reproductive structure. Genome analysis indicates that this organism shares more genes with C. crescentus than it does with Silicibacter pomeroyi (a closer relative according to 16S rRNA phylogeny), that it relies upon a heterotrophic strategy utilizing a wide range of substrates, that its cell cycle is likely to be regulated in a similar manner to that of C. crescentus, and that the outer membrane complements of H. neptunium and C. crescentus are remarkably similar. H. neptunium swarmer cells are highly motile via a single polar flagellum. With the exception of cheY and cheR, genes required for chemotaxis were absent in the H. neptunium genome. Consistent with this observation, H. neptunium swarmer cells did not respond to any chemotactic stimuli that were tested, which suggests that H. neptunium motility is a random dispersal mechanism for swarmer cells rather than a stimulus-controlled navigation system for locating specific environments. In addition to providing insights into bacterial development, the H. neptunium genome will provide an important resource for the study of other interesting biological processes including chromosome segregation, polar growth, and cell aging.}, keywords = {Alphaproteobacteria, Bacterial Outer Membrane Proteins, Caulobacter crescentus, cell cycle, Chemotaxis, DNA, Bacterial, Flagella, Genome, Bacterial, Microbial Viability, Molecular Sequence Data, Movement, Sequence Analysis, DNA, Sequence Homology, signal transduction}, author = {Badger, Jonathan H. and Hoover, Timothy R. and Brun, Yves V. and Weiner, Ronald M. and Laub, Michael T. and Alexandre, Gladys and Mr{\'a}zek, Jan and Ren, Qinghu and Paulsen, Ian T. and Nelson, Karen E. and Khouri, Hoda M. and Radune, Diana and Sosa, Julia and Dodson, Robert J. and Sullivan, Steven A. and Rosovitz, M. J. and Madupu, Ramana and Brinkac, Lauren M. and Durkin, A. Scott and Daugherty, Sean C. and Kothari, Sagar P. and Giglio, Michelle Gwinn and Zhou, Liwei and Haft, Daniel H. and J. Selengut and Davidsen, Tanja M. and Yang, Qi and Zafar, Nikhat and Ward, Naomi L.} } @article {38161, title = {Comparative genomics of emerging human ehrlichiosis agents}, journal = {PLoS geneticsPLoS genetics}, volume = {2}, year = {2006}, note = {http://www.ncbi.nlm.nih.gov/pubmed/16482227?dopt=Abstract}, type = {10.1371/journal.pgen.0020021}, abstract = {Anaplasma (formerly Ehrlichia) phagocytophilum, Ehrlichia chaffeensis, and Neorickettsia (formerly Ehrlichia) sennetsu are intracellular vector-borne pathogens that cause human ehrlichiosis, an emerging infectious disease. We present the complete genome sequences of these organisms along with comparisons to other organisms in the Rickettsiales order. Ehrlichia spp. and Anaplasma spp. display a unique large expansion of immunodominant outer membrane proteins facilitating antigenic variation. All Rickettsiales have a diminished ability to synthesize amino acids compared to their closest free-living relatives. Unlike members of the Rickettsiaceae family, these pathogenic Anaplasmataceae are capable of making all major vitamins, cofactors, and nucleotides, which could confer a beneficial role in the invertebrate vector or the vertebrate host. Further analysis identified proteins potentially involved in vacuole confinement of the Anaplasmataceae, a life cycle involving a hematophagous vector, vertebrate pathogenesis, human pathogenesis, and lack of transovarial transmission. These discoveries provide significant insights into the biology of these obligate intracellular pathogens.}, keywords = {Animals, Biotin, DNA Repair, Ehrlichia, Ehrlichiosis, Genome, Genomics, HUMANS, Models, Biological, Phylogeny, Rickettsia, Ticks}, author = {Dunning Hotopp, Julie C. and Lin, Mingqun and Madupu, Ramana and Crabtree, Jonathan and Angiuoli, Samuel V. and Eisen, Jonathan A. and Eisen, Jonathan and Seshadri, Rekha and Ren, Qinghu and Wu, Martin and Utterback, Teresa R. and Smith, Shannon and Lewis, Matthew and Khouri, Hoda and Zhang, Chunbin and Niu, Hua and Lin, Quan and Ohashi, Norio and Zhi, Ning and Nelson, William and Brinkac, Lauren M. and Dodson, Robert J. and Rosovitz, M. J. and Sundaram, Jaideep and Daugherty, Sean C. and Davidsen, Tanja and Durkin, Anthony S. and Gwinn, Michelle and Haft, Daniel H. and J. Selengut and Sullivan, Steven A. and Zafar, Nikhat and Zhou, Liwei and Benahmed, Faiza and Forberger, Heather and Halpin, Rebecca and Mulligan, Stephanie and Robinson, Jeffrey and White, Owen and Rikihisa, Yasuko and Tettelin, Herv{\'e}} } @article {38205, title = {Differential Transcriptional Response to Nonassociative and Associative Components of Classical Fear Conditioning in the Amygdala and Hippocampus}, journal = {Learning \& MemoryLearn. Mem.Learning \& MemoryLearn. Mem.}, volume = {13}, year = {2006}, type = {10.1101/lm.86906}, abstract = {Classical fear conditioning requires the recognition of conditioned stimuli (CS) and the association of the CS with an aversive stimulus. We used Affymetrix oligonucleotide microarrays to characterize changes in gene expression compared to naive mice in both the amygdala and the hippocampus 30 min after classical fear conditioning and 30 min after exposure to the CS in the absence of an aversive stimulus. We found that in the hippocampus, levels of gene regulation induced by classical fear conditioning were not significantly greater than those induced by CS alone, whereas in the amygdala, classical fear conditioning did induce significantly greater levels of gene regulation compared to the CS. Computational studies suggest that transcriptional changes in the hippocampus and amygdala are mediated by large and overlapping but distinct combinations of molecular events. Our results demonstrate that an increase in gene regulation in the amygdala was partially correlated to associative learning and partially correlated to nonassociative components of the task, while gene regulation in the hippocampus was correlated to nonassociative components of classical fear conditioning, including configural learning.}, isbn = {1072-0502, 1549-5485}, author = {Keeley, Michael B. and Wood, Marcelo A. and Isiegas, Carolina and Stein, Joel and Hellman, Kevin and Sridhar Hannenhalli and Abel, Ted} } @article {38247, title = {Exopolysaccharide-associated protein sorting in environmental organisms: the PEP-CTERM/EpsH system. Application of a novel phylogenetic profiling heuristic}, journal = {BMC biologyBMC biology}, volume = {4}, year = {2006}, note = {http://www.ncbi.nlm.nih.gov/pubmed/16930487?dopt=Abstract}, type = {10.1186/1741-7007-4-29}, abstract = {BACKGROUND: Protein translocation to the proper cellular destination may be guided by various classes of sorting signals recognizable in the primary sequence. Detection in some genomes, but not others, may reveal sorting system components by comparison of the phylogenetic profile of the class of sorting signal to that of various protein families. RESULTS: We describe a short C-terminal homology domain, sporadically distributed in bacteria, with several key characteristics of protein sorting signals. The domain includes a near-invariant motif Pro-Glu-Pro (PEP). This possible recognition or processing site is followed by a predicted transmembrane helix and a cluster rich in basic amino acids. We designate this domain PEP-CTERM. It tends to occur multiple times in a genome if it occurs at all, with a median count of eight instances; Verrucomicrobium spinosum has sixty-five. PEP-CTERM-containing proteins generally contain an N-terminal signal peptide and exhibit high diversity and little homology to known proteins. All bacteria with PEP-CTERM have both an outer membrane and exopolysaccharide (EPS) production genes. By a simple heuristic for screening phylogenetic profiles in the absence of pre-formed protein families, we discovered that a homolog of the membrane protein EpsH (exopolysaccharide locus protein H) occurs in a species when PEP-CTERM domains are found. The EpsH family contains invariant residues consistent with a transpeptidase function. Most PEP-CTERM proteins are encoded by single-gene operons preceded by large intergenic regions. In the Proteobacteria, most of these upstream regions share a DNA sequence, a probable cis-regulatory site that contains a sigma-54 binding motif. The phylogenetic profile for this DNA sequence exactly matches that of three proteins: a sigma-54-interacting response regulator (PrsR), a transmembrane histidine kinase (PrsK), and a TPR protein (PrsT). CONCLUSION: These findings are consistent with the hypothesis that PEP-CTERM and EpsH form a protein export sorting system, analogous to the LPXTG/sortase system of Gram-positive bacteria, and correlated to EPS expression. It occurs preferentially in bacteria from sediments, soils, and biofilms. The novel method that led to these findings, partial phylogenetic profiling, requires neither global sequence clustering nor arbitrary similarity cutoffs and appears to be a rapid, effective alternative to other profiling methods.}, keywords = {Amino Acid Motifs, Amino Acid Sequence, bacteria, Bacterial Proteins, Biofilms, Genome, Bacterial, Markov chains, Molecular Sequence Data, Phylogeny, Polysaccharides, Bacterial, Protein Sorting Signals, Protein Transport, Seawater, sequence alignment, Soil Microbiology}, author = {Haft, Daniel H. and Paulsen, Ian T. and Ward, Naomi and J. Selengut} } @article {49751, title = {How A.I. and multi-robot systems research will accelerate our understanding of social animal behavior}, volume = {94}, year = {2006}, pages = {1445-1463}, author = {Tucker Balch and Frank Dellaert and Adam Feldman and Andrew Guillory and Charles Isbell and Zia Khan and Andrew Stein and Hank Wilde} } @article {49561, title = {How Multirobot Systems Research will Accelerate our Understanding of Social Animal Behavior}, volume = {94}, year = {2006}, month = {Jan-07-2006}, pages = {1445 - 1463}, issn = {0018-9219}, doi = {10.1109/JPROC.2006.876969}, url = {http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=1677955}, author = {Balch, T. and Dellaert, F. and Feldman, A. and Guillory, A. and Isbell, C.L. and Khan, Z. and Pratt, S.C. and Stein, A.N. and Wilde, H.} } @article {38351, title = {An interaction-dependent model for transcription factor binding}, journal = {Systems Biology and Regulatory GenomicsSystems Biology and Regulatory Genomics}, year = {2006}, publisher = {Springer}, author = {Wang, L. S. and Jensen, S. and Sridhar Hannenhalli} } @article {38364, title = {A mammalian promoter model links cis elements to genetic networks}, journal = {Biochemical and Biophysical Research CommunicationsBiochemical and Biophysical Research Communications}, volume = {347}, year = {2006}, type = {16/j.bbrc.2006.06.062}, abstract = {An accurate identification of gene promoters remains an important challenge. Computational approaches for this problem rely on promoter sequence attributes that are believed to be critical for transcription initiation. Here we report a probabilistic model that captures two important properties of promoters, not used by previous methods, viz., the location preference and co-occurrence of promoter elements. Additionally, we found that many of the position-specific DNA elements are strongly linked with the function of the gene product. For instance, a highly conserved motif CCTTT at -1 position is strongly associated with protein synthesis, cellular and tissue development. Our comparative analysis of promoter classes reveals that the promoters devoid of CpG islands are more conserved and have fewer alternative transcription start sites. The discovered links between promoter elements and gene function allows us to infer genetic networks from promoter elements. The web server for the PSPA promoter predictor is available at http://cagr.pcbi.upenn.edu/PSPA.}, keywords = {conservation, Core promoter prediction, CpG island, Genetic networks, Position-specific motif, Propensity, Transcription factor binding site (TFBS)}, isbn = {0006-291X}, author = {Wang, Junwen and Sridhar Hannenhalli} } @article {38479, title = {Schistosoma mansoni (Platyhelminthes, Trematoda) nuclear receptors: Sixteen new members and a novel subfamily}, journal = {GeneGene}, volume = {366}, year = {2006}, type = {16/j.gene.2005.09.013}, abstract = {Nuclear receptors (NRs) are important transcriptional modulators in metazoans. Sixteen new NRs were identified in the Platyhelminth trematode, Schistosoma mansoni. Three were found to possess novel tandem DNA-binding domains that identify a new subfamily of NR. Two NRs are homologues of the thyroid hormone receptor that previously were thought to be restricted to chordates. This study brings the total number of identified NR in S. mansoni to 21. Phylogenetic and comparative genomic analyses demonstrate that S. mansoni NRs share an evolutionary lineage with that of arthropods and vertebrates. Phylogenic analysis shows that more than half of the S. mansoni nuclear receptors evolved from a second gene duplication. As the second gene duplication of NRs was thought to be specific to vertebrates, our data challenge the current theory of NR evolution.}, keywords = {Nuclear receptors, Schistosoma mansoni}, isbn = {0378-1119}, author = {Wu, Wenjie and Niles, Edward G. and Najib M. El-Sayed and Berriman, Matthew and LoVerde, Philip T.} } @article {38537, title = {Transcriptional Genomics Associates FOX Transcription Factors With Human Heart Failure}, journal = {CirculationCirculation}, volume = {114}, year = {2006}, type = {10.1161/CIRCULATIONAHA.106.632430}, abstract = {Background{\textemdash} Specific transcription factors (TFs) modulate cardiac gene expression in murine models of heart failure, but their relevance in human subjects remains untested. We developed and applied a computational approach called transcriptional genomics to test the hypothesis that a discrete set of cardiac TFs is associated with human heart failure.Methods and Results{\textemdash} RNA isolates from failing (n=196) and nonfailing (n=16) human hearts were hybridized with Affymetrix HU133A arrays, and differentially expressed heart failure genes were determined. TF binding sites overrepresented in the -5-kb promoter sequences of these heart failure genes were then determined with the use of public genome sequence databases. Binding sites for TFs identified in murine heart failure models (MEF2, NKX, NF-AT, and GATA) were significantly overrepresented in promoters of human heart failure genes (P<0.002; false discovery rate 2\% to 4\%). In addition, binding sites for FOX TFs showed substantial overrepresentation in both advanced human and early murine heart failure (P<0.002 and false discovery rate <4\% for each). A role for FOX TFs was supported further by expression of FOXC1, C2, P1, P4, and O1A in failing human cardiac myocytes at levels similar to established hypertrophic TFs and by abundant FOXP1 protein in failing human cardiac myocyte nuclei.Conclusions{\textemdash} Our results provide the first evidence that specific TFs identified in murine models (MEF2, NKX, NFAT, and GATA) are associated with human heart failure. Moreover, these data implicate specific members of the FOX family of TFs (FOXC1, C2, P1, P4, and O1A) not previously suggested in heart failure pathogenesis. These findings provide a crucial link between animal models and human disease and suggest a specific role for FOX signaling in modulating the hypertrophic response of the heart to stress in humans.}, author = {Sridhar Hannenhalli and Putt, Mary E. and Gilmore, Joan M. and Wang, Junwen and Parmacek, Michael S. and Epstein, Jonathan A. and Morrisey, Edward E. and Margulies, Kenneth B. and Cappola, Thomas P.} } @article {49640, title = {Trypanosoma cruzi mitochondrial maxicircles display species- and strain-specific variation and a conserved element in the non-coding region.}, journal = {BMC Genomics}, volume = {7}, year = {2006}, month = {2006}, pages = {60}, abstract = {

BACKGROUND: The mitochondrial DNA of kinetoplastid flagellates is distinctive in the eukaryotic world due to its massive size, complex form and large sequence content. Comprised of catenated maxicircles that contain rRNA and protein-coding genes and thousands of heterogeneous minicircles encoding small guide RNAs, the kinetoplast network has evolved along with an extreme form of mRNA processing in the form of uridine insertion and deletion RNA editing. Many maxicircle-encoded mRNAs cannot be translated without this post-transcriptional sequence modification.

RESULTS: We present the complete sequence and annotation of the Trypanosoma cruzi maxicircles for the CL Brener and Esmeraldo strains. Gene order is syntenic with Trypanosoma brucei and Leishmania tarentolae maxicircles. The non-coding components have strain-specific repetitive regions and a variable region that is unique for each strain with the exception of a conserved sequence element that may serve as an origin of replication, but shows no sequence identity with L. tarentolae or T. brucei. Alternative assemblies of the variable region demonstrate intra-strain heterogeneity of the maxicircle population. The extent of mRNA editing required for particular genes approximates that seen in T. brucei. Extensively edited genes were more divergent among the genera than non-edited and rRNA genes. Esmeraldo contains a unique 236-bp deletion that removes the 5{\textquoteright}-ends of ND4 and CR4 and the intergenic region. Esmeraldo shows additional insertions and deletions outside of areas edited in other species in ND5, MURF1, and MURF2, while CL Brener has a distinct insertion in MURF2.

CONCLUSION: The CL Brener and Esmeraldo maxicircles represent two of three previously defined maxicircle clades and promise utility as taxonomic markers. Restoration of the disrupted reading frames might be accomplished by strain-specific RNA editing. Elements in the non-coding region may be important for replication, transcription, and anchoring of the maxicircle within the kinetoplast network.

}, keywords = {Amino Acid Sequence, Animals, Animals, Inbred Strains, Base Composition, Conserved Sequence, DNA, Kinetoplast, Frameshifting, Ribosomal, Gene Deletion, Gene Order, Genetic Variation, Leishmania, Models, Biological, Molecular Sequence Data, Muscle Proteins, NADH Dehydrogenase, Open Reading Frames, Regulatory Elements, Transcriptional, RNA Editing, Sequence Homology, Amino Acid, Species Specificity, Trypanosoma brucei brucei, Trypanosoma cruzi, Ubiquitin-Protein Ligases, Untranslated Regions}, issn = {1471-2164}, doi = {10.1186/1471-2164-7-60}, author = {Westenberger, Scott J and Cerqueira, Gustavo C and El-Sayed, Najib M and Zingales, Bianca and Campbell, David A and Sturm, Nancy R} } @article {38550, title = {Trypanosoma cruzi mitochondrial maxicircles display species- and strain-specific variation and a conserved element in the non-coding region}, journal = {BMC GenomicsBMC Genomics}, volume = {7}, year = {2006}, type = {10.1186/1471-2164-7-60}, abstract = {BACKGROUND:The mitochondrial DNA of kinetoplastid flagellates is distinctive in the eukaryotic world due to its massive size, complex form and large sequence content. Comprised of catenated maxicircles that contain rRNA and protein-coding genes and thousands of heterogeneous minicircles encoding small guide RNAs, the kinetoplast network has evolved along with an extreme form of mRNA processing in the form of uridine insertion and deletion RNA editing. Many maxicircle-encoded mRNAs cannot be translated without this post-transcriptional sequence modification.RESULTS:We present the complete sequence and annotation of the Trypanosoma cruzi maxicircles for the CL Brener and Esmeraldo strains. Gene order is syntenic with Trypanosoma brucei and Leishmania tarentolae maxicircles. The non-coding components have strain-specific repetitive regions and a variable region that is unique for each strain with the exception of a conserved sequence element that may serve as an origin of replication, but shows no sequence identity with L. tarentolae or T. brucei. Alternative assemblies of the variable region demonstrate intra-strain heterogeneity of the maxicircle population. The extent of mRNA editing required for particular genes approximates that seen in T. brucei. Extensively edited genes were more divergent among the genera than non-edited and rRNA genes. Esmeraldo contains a unique 236-bp deletion that removes the 5{\textquoteright}-ends of ND4 and CR4 and the intergenic region. Esmeraldo shows additional insertions and deletions outside of areas edited in other species in ND5, MURF1, and MURF2, while CL Brener has a distinct insertion in MURF2.CONCLUSION:The CL Brener and Esmeraldo maxicircles represent two of three previously defined maxicircle clades and promise utility as taxonomic markers. Restoration of the disrupted reading frames might be accomplished by strain-specific RNA editing. Elements in the non-coding region may be important for replication, transcription, and anchoring of the maxicircle within the kinetoplast network.}, isbn = {1471-2164}, author = {Westenberger, Scott and Cerqueira, Gustavo and Najib M. El-Sayed and Zingales, Bianca and Campbell, David and Sturm, Nancy} } @article {38162, title = {Comparative Genomics of Trypanosomatid Parasitic Protozoa}, journal = {ScienceScience}, volume = {309}, year = {2005}, type = {10.1126/science.1112181}, abstract = {A comparison of gene content and genome architecture of Trypanosoma brucei, Trypanosoma cruzi, and Leishmania major, three related pathogens with different life cycles and disease pathology, revealed a conserved core proteome of about 6200 genes in large syntenic polycistronic gene clusters. Many species-specific genes, especially large surface antigen families, occur at nonsyntenic chromosome-internal and subtelomeric regions. Retroelements, structural RNAs, and gene family expansion are often associated with syntenic discontinuities that{\textemdash}along with gene divergence, acquisition and loss, and rearrangement within the syntenic regions{\textemdash}have shaped the genomes of each parasite. Contrary to recent reports, our analyses reveal no evidence that these species are descended from an ancestor that contained a photosynthetic endosymbiont.}, author = {Najib M. El-Sayed and Myler, Peter J. and Blandin, Ga{\"e}lle and Berriman, Matthew and Crabtree, Jonathan and Aggarwal, Gautam and Caler, Elisabet and Renauld, Hubert and Worthey, Elizabeth A. and Hertz-Fowler, Christiane and Ghedin, Elodie and Peacock, Christopher and Bartholomeu, Daniella C. and Haas, Brian J. and Tran, Anh-Nhi and Wortman, Jennifer R. and Alsmark, U. Cecilia M. and Angiuoli, Samuel and Anupama, Atashi and Badger, Jonathan and Bringaud, Frederic and Cadag, Eithon and Carlton, Jane M. and Cerqueira, Gustavo C. and Creasy, Todd and Delcher, Arthur L. and Djikeng, Appolinaire and Embley, T. Martin and Hauser, Christopher and Ivens, Alasdair C. and Kummerfeld, Sarah K. and Pereira-Leal, Jose B. and Nilsson, Daniel and Peterson, Jeremy and Salzberg, Steven L. and Shallom, Joshua and Silva, Joana C. and Sundaram, Jaideep and Westenberger, Scott and White, Owen and Melville, Sara E. and Donelson, John E. and Andersson, Bj{\"o}rn and Stuart, Kenneth D. and Hall, Neil} } @article {38229, title = {Enhanced position weight matrices using mixture models}, journal = {BioinformaticsBioinformatics}, volume = {21}, year = {2005}, type = {10.1093/bioinformatics/bti1001}, abstract = {Motivation: Positional weight matrix (PWM) is derived from a set of experimentally determined binding sites. Here we explore whether there exist subclasses of binding sites and if the mixture of these subclass-PWMs can improve the binding site prediction. Intuitively, the subclasses correspond to either distinct binding preference of the same transcription factor in different contexts or distinct subtypes of the transcription factor.Result: We report an Expectation Maximization algorithm adapting the mixture model of Baily and Elkan. We assessed the relative merit of using two subclass-PWMs. The resulting PWMs were evaluated with respect to preferred conservation (relative to mouse) of potential sites in human promoters and expression coherence of the potential target genes. Based on 64 JASPAR vertebrate PWMs, 61{\textendash}81\% of the cases resulted in a higher conservation using the mixture model. Also in 98\% of the cases the expression coherence was higher for the target genes of one of the subclass-PWMs. Our analysis of Reb1 sites is consistent with previously discovered subtypes using independent methods. Additionally application of our method to mutated sites for transcription factor LEU3 reveals subclasses that segregate into strongly binding and weakly binding sites with P-value of 0.008. This is the first study which attempts to quantify the subtly different binding specificities of a transcription factor on a large scale and suggests the use of a mixture of PWMs, instead of the current practice of using a single PWM, for a transcription factor.}, isbn = {1367-4803, 1460-2059}, author = {Sridhar Hannenhalli and Wang, L. S.} } @article {38280, title = {Generalizations of Markov model to characterize biological sequences}, journal = {BMC BioinformaticsBMC Bioinformatics}, volume = {6}, year = {2005}, type = {10.1186/1471-2105-6-219}, abstract = {BACKGROUND:The currently used kth order Markov models estimate the probability of generating a single nucleotide conditional upon the immediately preceding (gap = 0) k units. However, this neither takes into account the joint dependency of multiple neighboring nucleotides, nor does it consider the long range dependency with gap>0.RESULT:We describe a configurable tool to explore generalizations of the standard Markov model. We evaluated whether the sequence classification accuracy can be improved by using an alternative set of model parameters. The evaluation was done on four classes of biological sequences - CpG-poor promoters, all promoters, exons and nucleosome positioning sequences. Using di- and tri-nucleotide as the model unit significantly improved the sequence classification accuracy relative to the standard single nucleotide model. In the case of nucleosome positioning sequences, optimal accuracy was achieved at a gap length of 4. Furthermore in the plot of classification accuracy versus the gap, a periodicity of 10-11 bps was observed which might indicate structural preferences in the nucleosome positioning sequence. The tool is implemented in Java and is available for download at ftp://ftp.pcbi.upenn.edu/GMM/.CONCLUSION:Markov modeling is an important component of many sequence analysis tools. We have extended the standard Markov model to incorporate joint and long range dependencies between the sequence elements. The proposed generalizations of the Markov model are likely to improve the overall accuracy of sequence analysis tools.}, isbn = {1471-2105}, author = {Wang, Junwen and Sridhar Hannenhalli} } @article {38287, title = {Genome analysis of multiple pathogenic isolates of Streptococcus agalactiae: implications for the microbial "pan-genome"}, journal = {Proceedings of the National Academy of Sciences of the United States of AmericaProceedings of the National Academy of Sciences of the United States of America}, volume = {102}, year = {2005}, note = {http://www.ncbi.nlm.nih.gov/pubmed/16172379?dopt=Abstract}, type = {10.1073/pnas.0506758102}, abstract = {The development of efficient and inexpensive genome sequencing methods has revolutionized the study of human bacterial pathogens and improved vaccine design. Unfortunately, the sequence of a single genome does not reflect how genetic variability drives pathogenesis within a bacterial species and also limits genome-wide screens for vaccine candidates or for antimicrobial targets. We have generated the genomic sequence of six strains representing the five major disease-causing serotypes of Streptococcus agalactiae, the main cause of neonatal infection in humans. Analysis of these genomes and those available in databases showed that the S. agalactiae species can be described by a pan-genome consisting of a core genome shared by all isolates, accounting for approximately 80\% of any single genome, plus a dispensable genome consisting of partially shared and strain-specific genes. Mathematical extrapolation of the data suggests that the gene reservoir available for inclusion in the S. agalactiae pan-genome is vast and that unique genes will continue to be identified even after sequencing hundreds of genomes.}, keywords = {Amino Acid Sequence, Bacterial Capsules, Base Sequence, Gene expression, Genes, Bacterial, Genetic Variation, Genome, Bacterial, Molecular Sequence Data, Phylogeny, sequence alignment, Sequence Analysis, DNA, Streptococcus agalactiae, virulence}, author = {Tettelin, Herv{\'e} and Masignani, Vega and Cieslewicz, Michael J. and Donati, Claudio and Medini, Duccio and Ward, Naomi L. and Angiuoli, Samuel V. and Crabtree, Jonathan and Jones, Amanda L. and Durkin, A. Scott and DeBoy, Robert T. and Davidsen, Tanja M. and Mora, Marirosa and Scarselli, Maria and Margarit y Ros, Immaculada and Peterson, Jeremy D. and Hauser, Christopher R. and Sundaram, Jaideep P. and Nelson, William C. and Madupu, Ramana and Brinkac, Lauren M. and Dodson, Robert J. and Rosovitz, Mary J. and Sullivan, Steven A. and Daugherty, Sean C. and Haft, Daniel H. and J. Selengut and Gwinn, Michelle L. and Zhou, Liwei and Zafar, Nikhat and Khouri, Hoda and Radune, Diana and Dimitrov, George and Watkins, Kisha and O{\textquoteright}Connor, Kevin J. B. and Smith, Shannon and Utterback, Teresa R. and White, Owen and Rubens, Craig E. and Grandi, Guido and Madoff, Lawrence C. and Kasper, Dennis L. and Telford, John L. and Wessels, Michael R. and Rappuoli, Rino and Fraser, Claire M.} } @article {38294, title = {Genome Properties: a system for the investigation of prokaryotic genetic content for microbiology, genome annotation and comparative genomics}, journal = {Bioinformatics (Oxford, England)Bioinformatics (Oxford, England)}, volume = {21}, year = {2005}, note = {http://www.ncbi.nlm.nih.gov/pubmed/15347579?dopt=Abstract}, type = {10.1093/bioinformatics/bti015}, abstract = {MOTIVATION: The presence or absence of metabolic pathways and structures provide a context that makes protein annotation far more reliable. Compiling such information across microbial genomes improves the functional classification of proteins and provides a valuable resource for comparative genomics. RESULTS: We have created a Genome Properties system to present key aspects of prokaryotic biology using standardized computational methods and controlled vocabularies. Properties reflect gene content, phenotype, phylogeny and computational analyses. The results of searches using hidden Markov models allow many properties to be deduced automatically, especially for families of proteins (equivalogs) conserved in function since their last common ancestor. Additional properties are derived from curation, published reports and other forms of evidence. Genome Properties system was applied to 156 complete prokaryotic genomes, and is easily mined to find differences between species, correlations between metabolic features and families of uncharacterized proteins, or relationships among properties. AVAILABILITY: Genome Properties can be found at http://www.tigr.org/Genome_Properties SUPPLEMENTARY INFORMATION: http://www.tigr.org/tigr-scripts/CMR2/genome_properties_references.spl.}, keywords = {Chromosome mapping, database management systems, Databases, Genetic, documentation, Gene Expression Profiling, Gene Expression Regulation, Genomics, Information Storage and Retrieval, Microbiological Techniques, natural language processing, Prokaryotic Cells, Proteome, signal transduction, software, User-Computer Interface, Vocabulary, Controlled}, author = {Haft, Daniel H. and J. Selengut and Brinkac, Lauren M. and Zafar, Nikhat and White, Owen} } @article {38305, title = {The genome sequence of Trypanosoma cruzi, etiologic agent of Chagas disease}, journal = {ScienceScience}, volume = {309}, year = {2005}, publisher = {American Association for the Advancement of Science}, author = {Najib M. El-Sayed and Myler, P. J. and Bartholomeu, D. C. and Nilsson, D. and Aggarwal, G. and Tran, A. N. and Ghedin, E. and Worthey, E. A. and Delcher, A. L. and Blandin, G. and others,} } @article {49753, title = {An Outdoor 3-d Visual Tracking System for the Study of Spatial Navigation and Memory in Rhesus Monkeys}, journal = {Behavior Research Methods,Instruments \& Computers}, volume = {37}, year = {2005}, month = {08/2005}, pages = {453-463}, author = {Zia Khan and Rebecca A. Herman and Kim Wallen and Tucker Balch} } @article {49563, title = {An outdoor 3-D visual tracking system for the study of spatial navigation and memory in rhesus monkeys.}, volume = {37}, year = {2005}, month = {2005 Aug}, pages = {453-63}, abstract = {

Previous studies of the navigational abilities of nonhuman primates have largely been limited to what could be described by a human observer with a pen and paper. Consequently, we have developed a system that uses a pair of cameras to automatically obtain the three-dimensional trajectory of rhesus monkeys performing an outdoor spatial navigation and memory task. The system provides trajectories, path length, speed, and other variables that would be impossible for an unaided observer to note. From trajectory data, we computed and validated a path-length measurement. We use this measurement to compare the navigation abilities of several animals. In addition, we provide quantitative data on the accuracy of a method for automatic behavior detection. Currently, the system is being used to examine the sex differences in spatial navigation of rhesus monkeys. We expect that measures derived from the trajectory data will reveal strategies used by animals to solve spatial problems.

}, keywords = {Animals, Behavior, Animal, Macaca mulatta, Memory, Models, Biological, Space Perception, Visual Perception}, issn = {1554-351X}, author = {Khan, Zia and Herman, Rebecca A and Wallen, Kim and Balch, Tucker} } @article {49637, title = {Transcriptional profiling of the hyperthermophilic methanarchaeon Methanococcus jannaschii in response to lethal heat and non-lethal cold shock.}, journal = {Environ Microbiol}, volume = {7}, year = {2005}, month = {2005 Jun}, pages = {789-97}, abstract = {

Temperature shock of the hyperthermophilic methanarchaeon Methanococcus jannaschii from its optimal growth temperature of 85 degrees C to 65 degrees C and 95 degrees C resulted in different transcriptional responses characteristic of both the direction of shock (heat or cold shock) and whether the shock was lethal. Specific outcomes of lethal heat shock to 95 degrees C included upregulation of genes encoding chaperones, and downregulation of genes encoding subunits of the H+ transporting ATP synthase. A gene encoding an alpha subunit of a putative prefoldin was also upregulated, which may comprise a novel element in the protein processing pathway in M. jannaschii. Very different responses were observed upon cold shock to 65 degrees C. These included upregulation of a gene encoding an RNA helicase and other genes involved in transcription and translation, and upregulation of genes coding for proteases and transport proteins. Also upregulated was a gene that codes for an 18 kDa FKBP-type PPIase, which may facilitate protein folding at low temperatures. Transcriptional profiling also revealed several hypothetical proteins that respond to temperature stress conditions.

}, keywords = {Adaptation, Physiological, Archaeal Proteins, Cold Temperature, Gene Expression Profiling, Gene Expression Regulation, Archaeal, Heat-Shock Proteins, Hot Temperature, Methanococcus, Temperature, Transcription, Genetic}, issn = {1462-2912}, doi = {10.1111/j.1462-2920.2005.00751.x}, author = {Boonyaratanakornkit, Boonchai B and Simpson, Anjana J and Whitehead, Timothy A and Fraser, Claire M and el-Sayed, Najib M A and Clark, Douglas S} } @article {38538, title = {Transcriptional profiling of the hyperthermophilic methanarchaeon Methanococcus jannaschii in response to lethal heat and non-lethal cold shock}, journal = {Environmental MicrobiologyEnvironmental Microbiology}, volume = {7}, year = {2005}, type = {10.1111/j.1462-2920.2005.00751.x}, abstract = {Temperature shock of the hyperthermophilic methanarchaeon Methanococcus jannaschii from its optimal growth temperature of 85{\textdegree}C to 65{\textdegree}C and 95{\textdegree}C resulted in different transcriptional responses characteristic of both the direction of shock (heat or cold shock) and whether the shock was lethal. Specific outcomes of lethal heat shock to 95{\textdegree}C included upregulation of genes encoding chaperones, and downregulation of genes encoding subunits of the H+ transporting ATP synthase. A gene encoding an α subunit of a putative prefoldin was also upregulated, which may comprise a novel element in the protein processing pathway in M. jannaschii. Very different responses were observed upon cold shock to 65{\textdegree}C. These included upregulation of a gene encoding an RNA helicase and other genes involved in transcription and translation, and upregulation of genes coding for proteases and transport proteins. Also upregulated was a gene that codes for an 18~kDa FKBP-type PPIase, which may facilitate protein folding at low temperatures. Transcriptional profiling also revealed several hypothetical proteins that respond to temperature stress conditions.}, isbn = {1462-2920}, author = {Boonyaratanakornkit, Boonchai B. and Simpson, Anjana J. and Whitehead, Timothy A. and Fraser, Claire M. and Najib M. El-Sayed and Clark, Douglas S.} } @article {38575, title = {Whole-genome sequence analysis of Pseudomonas syringae pv. phaseolicola 1448A reveals divergence among pathovars in genes involved in virulence and transposition}, journal = {Journal of bacteriologyJournal of bacteriology}, volume = {187}, year = {2005}, note = {http://www.ncbi.nlm.nih.gov/pubmed/16159782?dopt=Abstract}, type = {10.1128/JB.187.18.6488-6498.2005}, abstract = {Pseudomonas syringae pv. phaseolicola, a gram-negative bacterial plant pathogen, is the causal agent of halo blight of bean. In this study, we report on the genome sequence of P. syringae pv. phaseolicola isolate 1448A, which encodes 5,353 open reading frames (ORFs) on one circular chromosome (5,928,787 bp) and two plasmids (131,950 bp and 51,711 bp). Comparative analyses with a phylogenetically divergent pathovar, P. syringae pv. tomato DC3000, revealed a strong degree of conservation at the gene and genome levels. In total, 4,133 ORFs were identified as putative orthologs in these two pathovars using a reciprocal best-hit method, with 3,941 ORFs present in conserved, syntenic blocks. Although these two pathovars are highly similar at the physiological level, they have distinct host ranges; 1448A causes disease in beans, and DC3000 is pathogenic on tomato and Arabidopsis. Examination of the complement of ORFs encoding virulence, fitness, and survival factors revealed a substantial, but not complete, overlap between these two pathovars. Another distinguishing feature between the two pathovars is their distinctive sets of transposable elements. With access to a fifth complete pseudomonad genome sequence, we were able to identify 3,567 ORFs that likely comprise the core Pseudomonas genome and 365 ORFs that are P. syringae specific.}, keywords = {Bacterial Proteins, DNA, Bacterial, Genes, Bacterial, Genome, Bacterial, Molecular Sequence Data, Pseudomonas syringae, Species Specificity, virulence}, author = {Joardar, Vinita and Lindeberg, Magdalen and Jackson, Robert W. and J. Selengut and Dodson, Robert and Brinkac, Lauren M. and Daugherty, Sean C. and Deboy, Robert and Durkin, A. Scott and Giglio, Michelle Gwinn and Madupu, Ramana and Nelson, William C. and Rosovitz, M. J. and Sullivan, Steven and Crabtree, Jonathan and Creasy, Todd and Davidsen, Tanja and Haft, Dan H. and Zafar, Nikhat and Zhou, Liwei and Halpin, Rebecca and Holley, Tara and Khouri, Hoda and Feldblyum, Tamara and White, Owen and Fraser, Claire M. and Chatterjee, Arun K. and Cartinhour, Sam and Schneider, David J. and Mansfield, John and Collmer, Alan and Buell, C. Robin} } @article {38149, title = {CHARACTERIZATION OF< i> Ath17, A QUANTITATIVE TRAIT LOCUS FOR ATHEROSCLEROSIS SUSCEPTIBILITY BETWEEN C57BL/6J AND 129S1/SvImJ; SINGLE-NUCLEOTIDE POLYMORPHISMS HAVE IMPORTANT IMPLICATIONS ON IDENTIFYING ATHEROSCLEROSIS MODIFIER GENES}, journal = {Cardiovascular PathologyCardiovascular Pathology}, volume = {13}, year = {2004}, publisher = {Elsevier}, author = {Ishimori, N. and Walsh, K. and Zheng, X. and Lu, F. and Sridhar Hannenhalli and Nusskern, D. and Mural, R. and Paigen, B.} } @article {38165, title = {Comparison of the genome of the oral pathogen Treponema denticola with other spirochete genomes}, journal = {Proceedings of the National Academy of Sciences of the United States of AmericaProceedings of the National Academy of Sciences of the United States of America}, volume = {101}, year = {2004}, note = {http://www.ncbi.nlm.nih.gov/pubmed/15064399?dopt=Abstract}, type = {10.1073/pnas.0307639101}, abstract = {We present the complete 2,843,201-bp genome sequence of Treponema denticola (ATCC 35405) an oral spirochete associated with periodontal disease. Analysis of the T. denticola genome reveals factors mediating coaggregation, cell signaling, stress protection, and other competitive and cooperative measures, consistent with its pathogenic nature and lifestyle within the mixed-species environment of subgingival dental plaque. Comparisons with previously sequenced spirochete genomes revealed specific factors contributing to differences and similarities in spirochete physiology as well as pathogenic potential. The T. denticola genome is considerably larger in size than the genome of the related syphilis-causing spirochete Treponema pallidum. The differences in gene content appear to be attributable to a combination of three phenomena: genome reduction, lineage-specific expansions, and horizontal gene transfer. Genes lost due to reductive evolution appear to be largely involved in metabolism and transport, whereas some of the genes that have arisen due to lineage-specific expansions are implicated in various pathogenic interactions, and genes acquired via horizontal gene transfer are largely phage-related or of unknown function.}, keywords = {ATP-Binding Cassette Transporters, Bacterial Proteins, Base Sequence, Borrelia burgdorferi, Genes, Bacterial, Genome, Bacterial, Leptospira interrogans, Models, Genetic, Molecular Sequence Data, Mouth, Sequence Homology, Amino Acid, Treponema, Treponema pallidum}, author = {Seshadri, Rekha and Myers, Garry S. A. and Tettelin, Herv{\'e} and Eisen, Jonathan A. and Heidelberg, John F. and Dodson, Robert J. and Davidsen, Tanja M. and DeBoy, Robert T. and Fouts, Derrick E. and Haft, Dan H. and J. Selengut and Ren, Qinghu and Brinkac, Lauren M. and Madupu, Ramana and Kolonay, Jamie and Durkin, A. Scott and Daugherty, Sean C. and Shetty, Jyoti and Shvartsbeyn, Alla and Gebregeorgis, Elizabeth and Geer, Keita and Tsegaye, Getahun and Malek, Joel and Ayodeji, Bola and Shatsman, Sofiya and McLeod, Michael P. and Smajs, David and Howell, Jerrilyn K. and Pal, Sangita and Amin, Anita and Vashisth, Pankaj and McNeill, Thomas Z. and Xiang, Qin and Sodergren, Erica and Baca, Ernesto and Weinstock, George M. and Norris, Steven J. and Fraser, Claire M. and Paulsen, Ian T.} } @article {38209, title = {Divergent Gene Copies in the Asexual Class Bdelloidea (Rotifera) Separated Before the Bdelloid Radiation or Within Bdelloid Families}, journal = {Proceedings of the National Academy of Sciences of the United States of AmericaPNASProceedings of the National Academy of Sciences of the United States of AmericaPNAS}, volume = {101}, year = {2004}, type = {10.1073/pnas.2136686100}, abstract = {Rotifers of the asexual class Bdelloidea are unusual in possessing two or more divergent copies of every gene that has been examined. Phylogenetic analysis of the heat-shock gene hsp82 and the TATA-box-binding protein gene tbp in multiple bdelloid species suggested that for each gene, each copy belonged to one of two lineages that began to diverge before the bdelloid radiation. Such gene trees are consistent with the two lineages having descended from former alleles that began to diverge after meiotic segregation ceased or from subgenomes of an alloploid ancestor of the bdelloids. However, the original analyses of bdelloid gene-copy divergence used only a single outgroup species and were based on parsimony and neighbor joining. We have now used maximum likelihood and Bayesian inference methods and, for hsp82, multiple outgroups in an attempt to produce more robust gene trees. Here we report that the available data do not unambiguously discriminate between gene trees that root the origin of hsp82 and tbp copy divergence before the bdelloid radiation and those which indicate that the gene copies began to diverge within bdelloid families. The remarkable presence of multiple diverged gene copies in individual genomes is nevertheless consistent with the loss of sex in an ancient ancestor of bdelloids.}, isbn = {0027-8424, 1091-6490}, author = {Welch, David B. Mark and Michael P. Cummings and Hillis, David M. and Meselson, Matthew} } @article {49635, title = {Gene synteny and evolution of genome architecture in trypanosomatids.}, journal = {Mol Biochem Parasitol}, volume = {134}, year = {2004}, month = {2004 Apr}, pages = {183-91}, abstract = {

The trypanosomatid protozoa Trypanosoma brucei, Trypanosoma cruzi and Leishmania major are related human pathogens that cause markedly distinct diseases. Using information from genome sequencing projects currently underway, we have compared the sequences of large chromosomal fragments from each species. Despite high levels of divergence at the sequence level, these three species exhibit a striking conservation of gene order, suggesting that selection has maintained gene order among the trypanosomatids over hundreds of millions of years of evolution. The few sites of genome rearrangement between these species are marked by the presence of retrotransposon-like elements, suggesting that retrotransposons may have played an important role in shaping trypanosomatid genome organization. A degenerate retroelement was identified in L. major by examining the regions near breakage points of the synteny. This is the first such element found in L. major suggesting that retroelements were found in the common ancestor of all three species.

}, keywords = {Animals, Computational Biology, Evolution, Molecular, Gene Order, Genome, Protozoan, Genomics, Leishmania major, Multigene Family, Recombination, Genetic, Retroelements, Selection, Genetic, Synteny, Trypanosoma brucei brucei, Trypanosoma cruzi, Trypanosomatina}, issn = {0166-6851}, doi = {10.1016/j.molbiopara.2003.11.012}, author = {Ghedin, Elodie and Bringaud, Frederic and Peterson, Jeremy and Myler, Peter and Berriman, Matthew and Ivens, Alasdair and Andersson, Bj{\"o}rn and Bontempi, Esteban and Eisen, Jonathan and Angiuoli, Sam and Wanless, David and Von Arx, Anna and Murphy, Lee and Lennard, Nicola and Salzberg, Steven and Adams, Mark D and White, Owen and Hall, Neil and Stuart, Kenneth and Fraser, Claire M and el-Sayed, Najib M A} } @article {38302, title = {Genome sequence of Silicibacter pomeroyi reveals adaptations to the marine environment}, journal = {NatureNature}, volume = {432}, year = {2004}, note = {http://www.ncbi.nlm.nih.gov/pubmed/15602564?dopt=Abstract}, type = {10.1038/nature03170}, abstract = {Since the recognition of prokaryotes as essential components of the oceanic food web, bacterioplankton have been acknowledged as catalysts of most major biogeochemical processes in the sea. Studying heterotrophic bacterioplankton has been challenging, however, as most major clades have never been cultured or have only been grown to low densities in sea water. Here we describe the genome sequence of Silicibacter pomeroyi, a member of the marine Roseobacter clade (Fig. 1), the relatives of which comprise approximately 10-20\% of coastal and oceanic mixed-layer bacterioplankton. This first genome sequence from any major heterotrophic clade consists of a chromosome (4,109,442 base pairs) and megaplasmid (491,611 base pairs). Genome analysis indicates that this organism relies upon a lithoheterotrophic strategy that uses inorganic compounds (carbon monoxide and sulphide) to supplement heterotrophy. Silicibacter pomeroyi also has genes advantageous for associations with plankton and suspended particles, including genes for uptake of algal-derived compounds, use of metabolites from reducing microzones, rapid growth and cell-density-dependent regulation. This bacterium has a physiology distinct from that of marine oligotrophs, adding a new strategy to the recognized repertoire for coping with a nutrient-poor ocean.}, keywords = {Adaptation, Physiological, Carrier Proteins, Genes, Bacterial, Genome, Bacterial, marine biology, Molecular Sequence Data, Oceans and Seas, Phylogeny, plankton, RNA, Ribosomal, 16S, Roseobacter, Seawater}, author = {Moran, Mary Ann and Buchan, Alison and Gonz{\'a}lez, Jos{\'e} M. and Heidelberg, John F. and Whitman, William B. and Kiene, Ronald P. and Henriksen, James R. and King, Gary M. and Belas, Robert and Fuqua, Clay and Brinkac, Lauren and Lewis, Matt and Johri, Shivani and Weaver, Bruce and Pai, Grace and Eisen, Jonathan A. and Rahe, Elisha and Sheldon, Wade M. and Ye, Wenying and Miller, Todd R. and Carlton, Jane and Rasko, David A. and Paulsen, Ian T. and Ren, Qinghu and Daugherty, Sean C. and DeBoy, Robert T. and Dodson, Robert J. and Durkin, A. Scott and Madupu, Ramana and Nelson, William C. and Sullivan, Steven A. and Rosovitz, M. J. and Haft, Daniel H. and J. Selengut and Ward, Naomi} } @article {38303, title = {The genome sequence of the anaerobic, sulfate-reducing bacterium Desulfovibrio vulgaris Hildenborough}, journal = {Nature biotechnologyNature biotechnology}, volume = {22}, year = {2004}, note = {http://www.ncbi.nlm.nih.gov/pubmed/15077118?dopt=Abstract}, type = {10.1038/nbt959}, abstract = {Desulfovibrio vulgaris Hildenborough is a model organism for studying the energy metabolism of sulfate-reducing bacteria (SRB) and for understanding the economic impacts of SRB, including biocorrosion of metal infrastructure and bioremediation of toxic metal ions. The 3,570,858 base pair (bp) genome sequence reveals a network of novel c-type cytochromes, connecting multiple periplasmic hydrogenases and formate dehydrogenases, as a key feature of its energy metabolism. The relative arrangement of genes encoding enzymes for energy transduction, together with inferred cellular location of the enzymes, provides a basis for proposing an expansion to the {\textquoteright}hydrogen-cycling{\textquoteright} model for increasing energy efficiency in this bacterium. Plasmid-encoded functions include modification of cell surface components, nitrogen fixation and a type-III protein secretion system. This genome sequence represents a substantial step toward the elucidation of pathways for reduction (and bioremediation) of pollutants such as uranium and chromium and offers a new starting point for defining this organism{\textquoteright}s complex anaerobic respiration.}, keywords = {Desulfovibrio vulgaris, Energy Metabolism, Genome, Bacterial, Molecular Sequence Data}, author = {Heidelberg, John F. and Seshadri, Rekha and Haveman, Shelley A. and Hemme, Christopher L. and Paulsen, Ian T. and Kolonay, James F. and Eisen, Jonathan A. and Ward, Naomi and Methe, Barbara and Brinkac, Lauren M. and Daugherty, Sean C. and DeBoy, Robert T. and Dodson, Robert J. and Durkin, A. Scott and Madupu, Ramana and Nelson, William C. and Sullivan, Steven A. and Fouts, Derrick and Haft, Daniel H. and J. Selengut and Peterson, Jeremy D. and Davidsen, Tanja M. and Zafar, Nikhat and Zhou, Liwei and Radune, Diana and Dimitrov, George and Hance, Mark and Tran, Kevin and Khouri, Hoda and Gill, John and Utterback, Terry R. and Feldblyum, Tamara V. and Wall, Judy D. and Voordouw, Gerrit and Fraser, Claire M.} } @book {49567, title = {Lecture Notes in Computer ScienceComputer Vision - ECCV 2004An MCMC-Based Particle Filter for Tracking Multiple Interacting Targets}, volume = {3024}, year = {2004}, pages = {279 - 290}, publisher = {Springer Berlin Heidelberg}, organization = {Springer Berlin Heidelberg}, address = {Berlin, Heidelberg}, isbn = {978-3-540-21981-1}, issn = {0302-9743}, doi = {10.1007/b9787310.1007/978-3-540-24673-2_23}, url = {http://www.springerlink.com/index/10.1007/b97873http://www.springerlink.com/index/pdf/10.1007/b97873http://link.springer.com/10.1007/978-3-540-24673-2_23http://www.springerlink.com/index/pdf/10.1007/978-3-540-24673-2_23}, author = {Khan, Zia and Balch, Tucker and Dellaert, Frank}, editor = {Kanade, Takeo and Kittler, Josef and Kleinberg, Jon M. and Mattern, Friedemann and Mitchell, John C. and Nierstrasz, Oscar and Pandu Rangan, C. and Steffen, Bernhard and Sudan, Madhu and Terzopoulos, Demetri and Tygar, Dough and Vardi, Moshe Y. and Weikum, Gerhard and Pajdla, {\'a}s and Matas, {\v r}{\'\i}} } @article {38514, title = {Structural flexibility in the Burkholderia mallei genome}, journal = {Proceedings of the National Academy of Sciences of the United States of AmericaProceedings of the National Academy of Sciences of the United States of America}, volume = {101}, year = {2004}, note = {http://www.ncbi.nlm.nih.gov/pubmed/15377793?dopt=Abstract}, type = {10.1073/pnas.0403306101}, abstract = {The complete genome sequence of Burkholderia mallei ATCC 23344 provides insight into this highly infectious bacterium{\textquoteright}s pathogenicity and evolutionary history. B. mallei, the etiologic agent of glanders, has come under renewed scientific investigation as a result of recent concerns about its past and potential future use as a biological weapon. Genome analysis identified a number of putative virulence factors whose function was supported by comparative genome hybridization and expression profiling of the bacterium in hamster liver in vivo. The genome contains numerous insertion sequence elements that have mediated extensive deletions and rearrangements of the genome relative to Burkholderia pseudomallei. The genome also contains a vast number (>12,000) of simple sequence repeats. Variation in simple sequence repeats in key genes can provide a mechanism for generating antigenic variation that may account for the mammalian host{\textquoteright}s inability to mount a durable adaptive immune response to a B. mallei infection.}, keywords = {Animals, Base Composition, Base Sequence, Burkholderia mallei, Chromosomes, Bacterial, Cricetinae, Genome, Bacterial, Glanders, Liver, Mesocricetus, Molecular Sequence Data, Multigene Family, Oligonucleotide Array Sequence Analysis, Open Reading Frames, virulence}, author = {Nierman, William C. and DeShazer, David and Kim, H. Stanley and Tettelin, Herv{\'e} and Nelson, Karen E. and Feldblyum, Tamara and Ulrich, Ricky L. and Ronning, Catherine M. and Brinkac, Lauren M. and Daugherty, Sean C. and Davidsen, Tanja D. and DeBoy, Robert T. and Dimitrov, George and Dodson, Robert J. and Durkin, A. Scott and Gwinn, Michelle L. and Haft, Daniel H. and Khouri, Hoda and Kolonay, James F. and Madupu, Ramana and Mohammoud, Yasmin and Nelson, William C. and Radune, Diana and Romero, Claudia M. and Sarria, Saul and J. Selengut and Shamblin, Christine and Sullivan, Steven A. and White, Owen and Yu, Yan and Zafar, Nikhat and Zhou, Liwei and Fraser, Claire M.} } @article {38574, title = {Whole genome comparisons of serotype 4b and 1/2a strains of the food-borne pathogen Listeria monocytogenes reveal new insights into the core genome components of this species}, journal = {Nucleic acids researchNucleic Acids Research}, volume = {32}, year = {2004}, note = {http://www.ncbi.nlm.nih.gov/pubmed/15115801?dopt=Abstract}, type = {10.1093/nar/gkh562}, abstract = {The genomes of three strains of Listeria monocytogenes that have been associated with food-borne illness in the USA were subjected to whole genome comparative analysis. A total of 51, 97 and 69 strain-specific genes were identified in L.monocytogenes strains F2365 (serotype 4b, cheese isolate), F6854 (serotype 1/2a, frankfurter isolate) and H7858 (serotype 4b, meat isolate), respectively. Eighty-three genes were restricted to serotype 1/2a and 51 to serotype 4b strains. These strain- and serotype-specific genes probably contribute to observed differences in pathogenicity, and the ability of the organisms to survive and grow in their respective environmental niches. The serotype 1/2a-specific genes include an operon that encodes the rhamnose biosynthetic pathway that is associated with teichoic acid biosynthesis, as well as operons for five glycosyl transferases and an adenine-specific DNA methyltransferase. A total of 8603 and 105 050 high quality single nucleotide polymorphisms (SNPs) were found on the draft genome sequences of strain H7858 and strain F6854, respectively, when compared with strain F2365. Whole genome comparative analyses revealed that the L.monocytogenes genomes are essentially syntenic, with the majority of genomic differences consisting of phage insertions, transposable elements and SNPs.}, keywords = {Base Composition, Chromosomes, Bacterial, DNA Transposable Elements, Food Microbiology, Genes, Bacterial, Genome, Bacterial, Genomics, Listeria monocytogenes, Meat, Open Reading Frames, Physical Chromosome Mapping, Polymorphism, Single Nucleotide, Prophages, Serotyping, Species Specificity, Synteny, virulence}, author = {Nelson, Karen E. and Fouts, Derrick E. and Mongodin, Emmanuel F. and Ravel, Jacques and DeBoy, Robert T. and Kolonay, James F. and Rasko, David A. and Angiuoli, Samuel V. and Gill, Steven R. and Paulsen, Ian T. and Peterson, Jeremy and White, Owen and Nelson, William C. and Nierman, William and Beanan, Maureen J. and Brinkac, Lauren M. and Daugherty, Sean C. and Dodson, Robert J. and Durkin, A. Scott and Madupu, Ramana and Haft, Daniel H. and J. Selengut and Van Aken, Susan and Khouri, Hoda and Fedorova, Nadia and Forberger, Heather and Tran, Bao and Kathariou, Sophia and Wonderling, Laura D. and Uhlich, Gaylen A. and Bayles, Darrell O. and Luchansky, John B. and Fraser, Claire M.} } @article {38576, title = {Whole-genome shotgun assembly and comparison of human genome assemblies}, journal = {Proceedings of the National Academy of Sciences of the United States of AmericaProceedings of the National Academy of Sciences of the United States of America}, volume = {101}, year = {2004}, publisher = {National Acad Sciences}, author = {Istrail, S. and Sutton, G. G. and Florea, L. and Halpern, A. L. and Mobarry, C. M. and Lippert, R. and Walenz, B. and Shatkay, H. and Dew, I. and Miller, J. R. and others,} } @article {38164, title = {Comparing bootstrap and posterior probability values in the four-taxon case}, journal = {Syst BiolSyst Biol}, volume = {52}, year = {2003}, abstract = {Assessment of the reliability of a given phylogenetic hypothesis is an important step in phylogenetic analysis. Historically, the nonparametric bootstrap procedure has been the most frequently used method for assessing the support for specific phylogenetic relationships. The recent employment of Bayesian methods for phylogenetic inference problems has resulted in clade support being expressed in terms of posterior probabilities. We used simulated data and the four-taxon case to explore the relationship between nonparametric bootstrap values (as inferred by maximum likelihood) and posterior probabilities (as inferred by Bayesian analysis). The results suggest a complex association between the two measures. Three general regions of tree space can be identified: (1) the neutral zone, where differences between mean bootstrap and mean posterior probability values are not significant, (2) near the two-branch corner, and (3) deep in the two-branch corner. In the last two regions, significant differences occur between mean bootstrap and mean posterior probability values. Whether bootstrap or posterior probability values are higher depends on the data in support of alternative topologies. Examination of star topologies revealed that both bootstrap and posterior probability values differ significantly from theoretical expectations; in particular, there are more posterior probability values in the range 0.85-1 than expected by theory. Therefore, our results corroborate the findings of others that posterior probability values are excessively high. Our results also suggest that extrapolations from single topology branch-length studies are unlikely to provide any general conclusions regarding the relationship between bootstrap and posterior probability values.}, author = {Michael P. Cummings and Handley, S. A. and Myers, D. S. and Reed, D. L. and Rokas, A. and Winka, K.} } @article {38166, title = {Complete genome sequence and comparative analysis of the metabolically versatile Pseudomonas putida KT2440}, journal = {Environmental MicrobiologyEnvironmental Microbiology}, volume = {5}, year = {2003}, author = {Nelson, K. E. and Weinel, C. and Paulsen, I. T. and Dodson, R. J. and Hilbert, H. and Martins dos Santos, V. A. P. and Fouts, D. E. and Gill, S. R. and M. Pop and Holmes, M. and others,} } @article {38168, title = {The complete genome sequence of the Arabidopsis and tomato pathogen Pseudomonas syringae pv. tomato DC3000}, journal = {Proceedings of the National Academy of Sciences of the United States of AmericaProceedings of the National Academy of Sciences of the United States of America}, volume = {100}, year = {2003}, note = {http://www.ncbi.nlm.nih.gov/pubmed/12928499?dopt=Abstract}, type = {10.1073/pnas.1731982100}, abstract = {We report the complete genome sequence of the model bacterial pathogen Pseudomonas syringae pathovar tomato DC3000 (DC3000), which is pathogenic on tomato and Arabidopsis thaliana. The DC3000 genome (6.5 megabases) contains a circular chromosome and two plasmids, which collectively encode 5,763 ORFs. We identified 298 established and putative virulence genes, including several clusters of genes encoding 31 confirmed and 19 predicted type III secretion system effector proteins. Many of the virulence genes were members of paralogous families and also were proximal to mobile elements, which collectively comprise 7\% of the DC3000 genome. The bacterium possesses a large repertoire of transporters for the acquisition of nutrients, particularly sugars, as well as genes implicated in attachment to plant surfaces. Over 12\% of the genes are dedicated to regulation, which may reflect the need for rapid adaptation to the diverse environments encountered during epiphytic growth and pathogenesis. Comparative analyses confirmed a high degree of similarity with two sequenced pseudomonads, Pseudomonas putida and Pseudomonas aeruginosa, yet revealed 1,159 genes unique to DC3000, of which 811 lack a known function.}, keywords = {Arabidopsis, Base Sequence, Biological Transport, Genome, Bacterial, Lycopersicon esculentum, Molecular Sequence Data, Plant Growth Regulators, Plasmids, Pseudomonas, Reactive Oxygen Species, Siderophores, virulence}, author = {Buell, C. Robin and Joardar, Vinita and Lindeberg, Magdalen and J. Selengut and Paulsen, Ian T. and Gwinn, Michelle L. and Dodson, Robert J. and DeBoy, Robert T. and Durkin, A. Scott and Kolonay, James F. and Madupu, Ramana and Daugherty, Sean and Brinkac, Lauren and Beanan, Maureen J. and Haft, Daniel H. and Nelson, William C. and Davidsen, Tanja and Zafar, Nikhat and Zhou, Liwei and Liu, Jia and Yuan, Qiaoping and Khouri, Hoda and Fedorova, Nadia and Tran, Bao and Russell, Daniel and Berry, Kristi and Utterback, Teresa and Aken, Susan E. van and Feldblyum, Tamara V. and D{\textquoteright}Ascenzo, Mark and Deng, Wen-Ling and Ramos, Adela R. and Alfano, James R. and Cartinhour, Samuel and Chatterjee, Arun K. and Delaney, Terrence P. and Lazarowitz, Sondra G. and Martin, Gregory B. and Schneider, David J. and Tang, Xiaoyan and Bender, Carol L. and White, Owen and Fraser, Claire M. and Collmer, Alan} } @article {38214, title = {The dog genome: survey sequencing and comparative analysis}, journal = {ScienceScience}, volume = {301}, year = {2003}, publisher = {American Association for the Advancement of Science}, author = {Kirkness, E. F. and Bafna, V. and Halpern, A. L. and Levy, S. and Remington, K. and Rusch, D. B. and Delcher, A. L. and M. Pop and Wang, W. and Fraser, C. M. and others,} } @article {38291, title = {Genome of Geobacter sulfurreducens: metal reduction in subsurface environments}, journal = {Science (New York, N.Y.)Science (New York, N.Y.)}, volume = {302}, year = {2003}, note = {http://www.ncbi.nlm.nih.gov/pubmed/14671304?dopt=Abstract}, type = {10.1126/science.1088727}, abstract = {The complete genome sequence of Geobacter sulfurreducens, a delta-proteobacterium, reveals unsuspected capabilities, including evidence of aerobic metabolism, one-carbon and complex carbon metabolism, motility, and chemotactic behavior. These characteristics, coupled with the possession of many two-component sensors and many c-type cytochromes, reveal an ability to create alternative, redundant, electron transport networks and offer insights into the process of metal ion reduction in subsurface environments. As well as playing roles in the global cycling of metals and carbon, this organism clearly has the potential for use in bioremediation of radioactive metals and in the generation of electricity.}, keywords = {Acetates, Acetyl Coenzyme A, Aerobiosis, Anaerobiosis, Bacterial Proteins, Carbon, Chemotaxis, Chromosomes, Bacterial, Cytochromes c, Electron Transport, Energy Metabolism, Genes, Bacterial, Genes, Regulator, Genome, Bacterial, Geobacter, Hydrogen, Metals, Movement, Open Reading Frames, Oxidation-Reduction, Phylogeny}, author = {Meth{\'e}, B. A. and Nelson, K. E. and Eisen, J. A. and Paulsen, I. T. and Nelson, W. and Heidelberg, J. F. and Wu, D. and Wu, M. and Ward, N. and Beanan, M. J. and Dodson, R. J. and Madupu, R. and Brinkac, L. M. and Daugherty, S. C. and DeBoy, R. T. and Durkin, A. S. and Gwinn, M. and Kolonay, J. F. and Sullivan, S. A. and Haft, D. H. and J. Selengut and Davidsen, T. M. and Zafar, N. and White, O. and Tran, B. and Romero, C. and Forberger, H. A. and Weidman, J. and Khouri, H. and Feldblyum, T. V. and Utterback, T. R. and Van Aken, S. E. and Lovley, D. R. and Fraser, C. M.} } @article {38300, title = {The genome sequence of Bacillus anthracis Ames and comparison to closely related bacteria}, journal = {NatureNature}, volume = {423}, year = {2003}, note = {[eacute]
[Oslash]}, type = {10.1038/nature01586}, abstract = {Bacillus anthracis is an endospore-forming bacterium that causes inhalational anthrax1. Key virulence genes are found on plasmids (extra-chromosomal, circular, double-stranded DNA molecules) pXO1 (ref. 2) and pXO2 (ref. 3). To identify additional genes that might contribute to virulence, we analysed the complete sequence of the chromosome of B. anthracis Ames (about 5.23 megabases). We found several chromosomally encoded proteins that may contribute to pathogenicity{\textemdash}including haemolysins, phospholipases and iron acquisition functions{\textemdash}and identified numerous surface proteins that might be important targets for vaccines and drugs. Almost all these putative chromosomal virulence and surface proteins have homologues in Bacillus cereus, highlighting the similarity of B. anthracis to near-neighbours that are not associated with anthrax4. By performing a comparative genome hybridization of 19 B. cereus and Bacillus thuringiensis strains against a B. anthracis DNA microarray, we confirmed the general similarity of chromosomal genes among this group of close relatives. However, we found that the gene sequences of pXO1 and pXO2 were more variable between strains, suggesting plasmid mobility in the group. The complete sequence of B. anthracis is a step towards a better understanding of anthrax pathogenesis.}, isbn = {0028-0836}, author = {Read, Timothy D. and Peterson, Scott N. and Tourasse, Nicolas and Baillie, Les W. and Paulsen, Ian T. and Nelson, Karen E. and Tettelin, Herv and Fouts, Derrick E. and Eisen, Jonathan A. and Gill, Steven R. and Holtzapple, Erik K. and kstad, Ole Andreas and Helgason, Erlendur and Rilstone, Jennifer and Wu, Martin and Kolonay, James F. and Beanan, Maureen J. and Dodson, Robert J. and Brinkac, Lauren M. and Gwinn, Michelle and DeBoy, Robert T. and Madpu, Ramana and Daugherty, Sean C. and Durkin, A. Scott and Haft, Daniel H. and Nelson, William C. and Peterson, Jeremy D. and M. Pop and Khouri, Hoda M. and Radune, Diana and Benton, Jonathan L. and Mahamoud, Yasmin and Jiang, Lingxia and Hance, Ioana R. and Weidman, Janice F. and Berry, Kristi J. and Plaut, Roger D. and Wolf, Alex M. and Watkins, Kisha L. and Nierman, William C. and Hazen, Alyson and Cline, Robin and Redmond, Caroline and Thwaite, Joanne E. and White, Owen and Salzberg, Steven L. and Thomason, Brendan and Friedlander, Arthur M. and Koehler, Theresa M. and Hanna, Philip C. and Kolst, and Anne-Brit and Fraser, Claire M.} } @article {49685, title = {Improving the Arabidopsis genome annotation using maximal transcript alignment assemblies.}, journal = {Nucleic Acids Res}, volume = {31}, year = {2003}, month = {2003 Oct 1}, pages = {5654-66}, abstract = {

The spliced alignment of expressed sequence data to genomic sequence has proven a key tool in the comprehensive annotation of genes in eukaryotic genomes. A novel algorithm was developed to assemble clusters of overlapping transcript alignments (ESTs and full-length cDNAs) into maximal alignment assemblies, thereby comprehensively incorporating all available transcript data and capturing subtle splicing variations. Complete and partial gene structures identified by this method were used to improve The Institute for Genomic Research Arabidopsis genome annotation (TIGR release v.4.0). The alignment assemblies permitted the automated modeling of several novel genes and >1000 alternative splicing variations as well as updates (including UTR annotations) to nearly half of the approximately 27 000 annotated protein coding genes. The algorithm of the Program to Assemble Spliced Alignments (PASA) tool is described, as well as the results of automated updates to Arabidopsis gene annotations.

}, keywords = {algorithms, Alternative Splicing, Arabidopsis, DNA, Complementary, Expressed Sequence Tags, Genome, Plant, Introns, Plant Proteins, RNA, Plant, sequence alignment, software, Transcription, Genetic, Untranslated Regions}, issn = {1362-4962}, author = {Haas, Brian J and Delcher, Arthur L and Mount, Stephen M and Wortman, Jennifer R and Smith, Roger K and Hannick, Linda I and Maiti, Rama and Ronning, Catherine M and Rusch, Douglas B and Town, Christopher D and Salzberg, Steven L and White, Owen} } @article {38489, title = {The sequence and analysis of Trypanosoma brucei chromosome II}, journal = {Nucleic acids researchNucleic Acids Research}, volume = {31}, year = {2003}, author = {Najib M. El-Sayed and Ghedin, E. and Song, J. and MacLeod, A. and Bringaud, F. and Larkin, C. and Wanless, D. and Peterson, J. and Hou, L. and Taylor, S. and others,} } @article {49633, title = {The sequence and analysis of Trypanosoma brucei chromosome II.}, journal = {Nucleic Acids Res}, volume = {31}, year = {2003}, month = {2003 Aug 15}, pages = {4856-63}, abstract = {

We report here the sequence of chromosome II from Trypanosoma brucei, the causative agent of African sleeping sickness. The 1.2-Mb pairs encode about 470 predicted genes organised in 17 directional clusters on either strand, the largest cluster of which has 92 genes lined up over a 284-kb region. An analysis of the GC skew reveals strand compositional asymmetries that coincide with the distribution of protein-coding genes, suggesting these asymmetries may be the result of transcription-coupled repair on coding versus non-coding strand. A 5-cM genetic map of the chromosome reveals recombinational {\textquoteright}hot{\textquoteright} and {\textquoteright}cold{\textquoteright} regions, the latter of which is predicted to include the putative centromere. One end of the chromosome consists of a 250-kb region almost exclusively composed of RHS (pseudo)genes that belong to a newly characterised multigene family containing a hot spot of insertion for retroelements. Interspersed with the RHS genes are a few copies of truncated RNA polymerase pseudogenes as well as expression site associated (pseudo)genes (ESAGs) 3 and 4, and 76 bp repeats. These features are reminiscent of a vestigial variant surface glycoprotein (VSG) gene expression site. The other end of the chromosome contains a 30-kb array of VSG genes, the majority of which are pseudogenes, suggesting that this region may be a site for modular de novo construction of VSG gene diversity during transposition/gene conversion events.

}, keywords = {Animals, Antigens, Protozoan, Chromosome mapping, Chromosomes, DNA, Protozoan, Gene Duplication, Genes, Protozoan, Molecular Sequence Data, Pseudogenes, Recombination, Genetic, Sequence Analysis, DNA, Trypanosoma brucei brucei}, issn = {1362-4962}, author = {el-Sayed, Najib M A and Ghedin, Elodie and Song, Jinming and MacLeod, Annette and Bringaud, Frederic and Larkin, Christopher and Wanless, David and Peterson, Jeremy and Hou, Lihua and Taylor, Sonya and Tweedie, Alison and Biteau, Nicolas and Khalak, Hanif G and Lin, Xiaoying and Mason, Tanya and Hannick, Linda and Caler, Elisabet and Blandin, Ga{\"e}lle and Bartholomeu, Daniella and Simpson, Anjana J and Kaul, Samir and Zhao, Hong and Pai, Grace and Van Aken, Susan and Utterback, Teresa and Haas, Brian and Koo, Hean L and Umayam, Lowell and Suh, Bernard and Gerrard, Caroline and Leech, Vanessa and Qi, Rong and Zhou, Shiguo and Schwartz, David and Feldblyum, Tamara and Salzberg, Steven and Tait, Andrew and Turner, C Michael R and Ullu, Elisabetta and White, Owen and Melville, Sara and Adams, Mark D and Fraser, Claire M and Donelson, John E} } @article {38531, title = {The TIGRFAMs database of protein families}, journal = {Nucleic acids researchNucleic Acids Research}, volume = {31}, year = {2003}, note = {http://www.ncbi.nlm.nih.gov/pubmed/12520025?dopt=Abstract}, abstract = {TIGRFAMs is a collection of manually curated protein families consisting of hidden Markov models (HMMs), multiple sequence alignments, commentary, Gene Ontology (GO) assignments, literature references and pointers to related TIGRFAMs, Pfam and InterPro models. These models are designed to support both automated and manually curated annotation of genomes. TIGRFAMs contains models of full-length proteins and shorter regions at the levels of superfamilies, subfamilies and equivalogs, where equivalogs are sets of homologous proteins conserved with respect to function since their last common ancestor. The scope of each model is set by raising or lowering cutoff scores and choosing members of the seed alignment to group proteins sharing specific function (equivalog) or more general properties. The overall goal is to provide information with maximum utility for the annotation process. TIGRFAMs is thus complementary to Pfam, whose models typically achieve broad coverage across distant homologs but end at the boundaries of conserved structural domains. The database currently contains over 1600 protein families. TIGRFAMs is available for searching or downloading at www.tigr.org/TIGRFAMs.}, keywords = {Animals, Databases, Protein, Markov chains, Mixed Function Oxygenases, Phylogeny, Proteins, Pyruvate Carboxylase, Sequence Homology, Amino Acid}, author = {Haft, Daniel H. and J. Selengut and White, Owen} } @inbook {38153, title = {Combinatorial Algorithms for Design of DNA Arrays}, booktitle = {Chip TechnologyChip Technology}, series = {Advances in Biochemical Engineering/Biotechnology}, volume = {77}, year = {2002}, publisher = {Springer Berlin / Heidelberg}, organization = {Springer Berlin / Heidelberg}, abstract = {Optimal design of DNA arrays requires the development of algorithms with two-fold goals: reducing the effects caused by unintended illumination ( border length minimization problem ) and reducing the complexity of masks ( mask decomposition problem ). We describe algorithms that reduce the number of rectangles in mask decomposition by 20{\textendash}30\% as compared to a standard array design under the assumption that the arrangement of oligonucleotides on the array is fixed. This algorithm produces provably optimal solution for all studied real instances of array design. We also address the difficult problem of finding an arrangement which minimizes the border length and come up with a new idea of threading that significantly reduces the border length as compared to standard designs.}, isbn = {978-3-540-43215-9}, author = {Sridhar Hannenhalli and Hubbell, Earl and Lipshutz, Robert and Pevzner, Pavel}, editor = {Hoheisel, J{\"o}rg and Brazma, A. and B{\"u}ssow, K. and Cantor, C. and Christians, F. and Chui, G. and Diaz, R. and Drmanac, R. and Drmanac, S. and Eickhoff, H. and Fellenberg, K. and Sridhar Hannenhalli and Hoheisel, J. and Hou, A. and Hubbell, E. and Jin, H. and Jin, P. and Jurinke, C. and Konthur, Z. and K{\"o}ster, H. and Kwon, S. and Lacy, S. and Lehrach, H. and Lipshutz, R. and Little, D. and Lueking, A. and McGall, G. and Moeur, B. and Nordhoff, E. and Nyarsik, L. and Pevzner, P. and Robinson, A. and Sarkans, U. and Shafto, J. and Sohail, M. and Southern, E. and Swanson, D. and Ukrainczyk, T. and van den Boom, D. and Vilo, J. and Vingron, M. and Walter, G. and Xu, C.} } @article {49687, title = {The draft genome of Ciona intestinalis: insights into chordate and vertebrate origins.}, journal = {Science}, volume = {298}, year = {2002}, month = {2002 Dec 13}, pages = {2157-67}, abstract = {

The first chordates appear in the fossil record at the time of the Cambrian explosion, nearly 550 million years ago. The modern ascidian tadpole represents a plausible approximation to these ancestral chordates. To illuminate the origins of chordate and vertebrates, we generated a draft of the protein-coding portion of the genome of the most studied ascidian, Ciona intestinalis. The Ciona genome contains approximately 16,000 protein-coding genes, similar to the number in other invertebrates, but only half that found in vertebrates. Vertebrate gene families are typically found in simplified form in Ciona, suggesting that ascidians contain the basic ancestral complement of genes involved in cell signaling and development. The ascidian genome has also acquired a number of lineage-specific innovations, including a group of genes engaged in cellulose metabolism that are related to those in bacteria and fungi.

}, keywords = {Alleles, Animals, Apoptosis, Base Sequence, Cellulose, Central Nervous System, Ciona intestinalis, Computational Biology, Endocrine System, Gene Dosage, Gene Duplication, genes, Genes, Homeobox, Genome, Heart, Immunity, Molecular Sequence Data, Multigene Family, Muscle Proteins, Organizers, Embryonic, Phylogeny, Polymorphism, Genetic, Proteins, Sequence Analysis, DNA, Sequence Homology, Nucleic Acid, Species Specificity, Thyroid Gland, Urochordata, Vertebrates}, issn = {1095-9203}, doi = {10.1126/science.1080049}, author = {Dehal, Paramvir and Satou, Yutaka and Campbell, Robert K and Chapman, Jarrod and Degnan, Bernard and De Tomaso, Anthony and Davidson, Brad and Di Gregorio, Anna and Gelpke, Maarten and Goodstein, David M and Harafuji, Naoe and Hastings, Kenneth E M and Ho, Isaac and Hotta, Kohji and Huang, Wayne and Kawashima, Takeshi and Lemaire, Patrick and Martinez, Diego and Meinertzhagen, Ian A and Necula, Simona and Nonaka, Masaru and Putnam, Nik and Rash, Sam and Saiga, Hidetoshi and Satake, Masanobu and Terry, Astrid and Yamada, Lixy and Wang, Hong-Gang and Awazu, Satoko and Azumi, Kaoru and Boore, Jeffrey and Branno, Margherita and Chin-Bow, Stephen and DeSantis, Rosaria and Doyle, Sharon and Francino, Pilar and Keys, David N and Haga, Shinobu and Hayashi, Hiroko and Hino, Kyosuke and Imai, Kaoru S and Inaba, Kazuo and Kano, Shungo and Kobayashi, Kenji and Kobayashi, Mari and Lee, Byung-In and Makabe, Kazuhiro W and Manohar, Chitra and Matassi, Giorgio and Medina, Monica and Mochizuki, Yasuaki and Mount, Steve and Morishita, Tomomi and Miura, Sachiko and Nakayama, Akie and Nishizaka, Satoko and Nomoto, Hisayo and Ohta, Fumiko and Oishi, Kazuko and Rigoutsos, Isidore and Sano, Masako and Sasaki, Akane and Sasakura, Yasunori and Shoguchi, Eiichi and Shin-i, Tadasu and Spagnuolo, Antoinetta and Stainier, Didier and Suzuki, Miho M and Tassy, Olivier and Takatori, Naohito and Tokuoka, Miki and Yagi, Kasumi and Yoshizaki, Fumiko and Wada, Shuichi and Zhang, Cindy and Hyatt, P Douglas and Larimer, Frank and Detter, Chris and Doggett, Norman and Glavina, Tijana and Hawkins, Trevor and Richardson, Paul and Lucas, Susan and Kohara, Yuji and Levine, Michael and Satoh, Nori and Rokhsar, Daniel S} } @proceedings {38249, title = {Experimental Construction of Very Large Scale DNA Databases with Associative Search}, volume = {7}, year = {2002}, month = {2002}, author = {Reif, J. H. and LaBean, T. H. and Pirrung, M. and Rana, V. S. and Guo, B. and Kingsford, Carl and Wickham, G. S.} } @article {38295, title = {Genome sequence and comparative analysis of the model rodent malaria parasite Plasmodium yoelii yoelii}, journal = {NatureNature}, volume = {419}, year = {2002}, type = {10.1038/nature01099}, abstract = {Species of malaria parasite that infect rodents have long been used as models for malaria disease research. Here we report the whole-genome shotgun sequence of one species, Plasmodium yoelii yoelii, and comparative studies with the genome of the human malaria parasite Plasmodium falciparum clone 3D7. A synteny map of 2,212 P. y. yoelii contiguous DNA sequences (contigs) aligned to 14 P. falciparum chromosomes reveals marked conservation of gene synteny within the body of each chromosome. Of about 5,300 P. falciparum genes, more than 3,300 P. y. yoelii orthologues of predominantly metabolic function were identified. Over 800 copies of a variant antigen gene located in subtelomeric regions were found. This is the first genome sequence of a model eukaryotic parasite, and it provides insight into the use of such systems in the modelling of Plasmodium biology and disease.}, isbn = {0028-0836}, author = {Carlton, Jane M. and Angiuoli, Samuel V. and Suh, Bernard B. and Kooij, Taco W. and Pertea, Mihaela and Silva, Joana C. and Ermolaeva, Maria D. and Allen, Jonathan E. and J. Selengut and Koo, Hean L. and Peterson, Jeremy D. and M. Pop and Kosack, Daniel S. and Shumway, Martin F. and Bidwell, Shelby L. and Shallom, Shamira J. and Aken, Susan E. van and Riedmuller, Steven B. and Feldblyum, Tamara V. and Cho, Jennifer K. and Quackenbush, John and Sedegah, Martha and Shoaibi, Azadeh and Cummings, Leda M. and Florens, Laurence and Yates, John R. and Raine, J. Dale and Sinden, Robert E. and Harris, Michael A. and Cunningham, Deirdre A. and Preiser, Peter R. and Bergman, Lawrence W. and Vaidya, Akhil B. and Lin, Leo H. van and Janse, Chris J. and Waters, Andrew P. and Smith, Hamilton O. and White, Owen R. and Salzberg, Steven L. and Venter, J. Craig and Fraser, Claire M. and Hoffman, Stephen L. and Gardner, Malcolm J. and Carucci, Daniel J.} } @article {38304, title = {Genome sequence of the human malaria parasite Plasmodium falciparum}, journal = {NatureNature}, volume = {419}, year = {2002}, note = {http://www.ncbi.nlm.nih.gov/pubmed/12368864?dopt=Abstract}, type = {10.1038/nature01097}, abstract = {The parasite Plasmodium falciparum is responsible for hundreds of millions of cases of malaria, and kills more than one million African children annually. Here we report an analysis of the genome sequence of P. falciparum clone 3D7. The 23-megabase nuclear genome consists of 14 chromosomes, encodes about 5,300 genes, and is the most (A + T)-rich genome sequenced to date. Genes involved in antigenic variation are concentrated in the subtelomeric regions of the chromosomes. Compared to the genomes of free-living eukaryotic microbes, the genome of this intracellular parasite encodes fewer enzymes and transporters, but a large proportion of genes are devoted to immune evasion and host-parasite interactions. Many nuclear-encoded proteins are targeted to the apicoplast, an organelle involved in fatty-acid and isoprenoid metabolism. The genome sequence provides the foundation for future studies of this organism, and is being exploited in the search for new drugs and vaccines to fight malaria.}, keywords = {Animals, Chromosome Structures, DNA Repair, DNA Replication, DNA, Protozoan, Evolution, Molecular, Genome, Protozoan, HUMANS, Malaria Vaccines, Malaria, Falciparum, Membrane Transport Proteins, Molecular Sequence Data, Plasmodium falciparum, Plastids, Proteome, Protozoan Proteins, Recombination, Genetic, Sequence Analysis, DNA}, author = {Gardner, Malcolm J. and Hall, Neil and Fung, Eula and White, Owen and Berriman, Matthew and Hyman, Richard W. and Carlton, Jane M. and Pain, Arnab and Nelson, Karen E. and Bowman, Sharen and Paulsen, Ian T. and James, Keith and Eisen, Jonathan A. and Rutherford, Kim and Salzberg, Steven L. and Craig, Alister and Kyes, Sue and Chan, Man-Suen and Nene, Vishvanath and Shallom, Shamira J. and Suh, Bernard and Peterson, Jeremy and Angiuoli, Sam and Pertea, Mihaela and Allen, Jonathan and J. Selengut and Haft, Daniel and Mather, Michael W. and Vaidya, Akhil B. and Martin, David M. A. and Fairlamb, Alan H. and Fraunholz, Martin J. and Roos, David S. and Ralph, Stuart A. and McFadden, Geoffrey I. and Cummings, Leda M. and Subramanian, G. Mani and Mungall, Chris and Venter, J. Craig and Carucci, Daniel J. and Hoffman, Stephen L. and Newbold, Chris and Davis, Ronald W. and Fraser, Claire M. and Barrell, Bart} } @article {38449, title = {Proceedings of the sixth annual international conference on Computational biology}, year = {2002}, publisher = {ACM}, author = {Myers, G. and Sridhar Hannenhalli and Sankoff, D. and Istrail, S. and Pevzner, P. and Waterman, M.} } @article {38492, title = {Sequence of Plasmodium falciparum chromosomes 2, 10, 11 and 14}, journal = {NatureNature}, volume = {419}, year = {2002}, note = {http://www.ncbi.nlm.nih.gov/pubmed/12368868?dopt=Abstract}, type = {10.1038/nature01094}, abstract = {The mosquito-borne malaria parasite Plasmodium falciparum kills an estimated 0.7-2.7 million people every year, primarily children in sub-Saharan Africa. Without effective interventions, a variety of factors-including the spread of parasites resistant to antimalarial drugs and the increasing insecticide resistance of mosquitoes-may cause the number of malaria cases to double over the next two decades. To stimulate basic research and facilitate the development of new drugs and vaccines, the genome of Plasmodium falciparum clone 3D7 has been sequenced using a chromosome-by-chromosome shotgun strategy. We report here the nucleotide sequences of chromosomes 10, 11 and 14, and a re-analysis of the chromosome 2 sequence. These chromosomes represent about 35\% of the 23-megabase P. falciparum genome.}, keywords = {Animals, Chromosomes, DNA, Protozoan, Genome, Protozoan, Plasmodium falciparum, Proteome, Protozoan Proteins, Sequence Analysis, DNA}, author = {Gardner, Malcolm J. and Shallom, Shamira J. and Carlton, Jane M. and Salzberg, Steven L. and Nene, Vishvanath and Shoaibi, Azadeh and Ciecko, Anne and Lynn, Jeffery and Rizzo, Michael and Weaver, Bruce and Jarrahi, Behnam and Brenner, Michael and Parvizi, Babak and Tallon, Luke and Moazzez, Azita and Granger, David and Fujii, Claire and Hansen, Cheryl and Pederson, James and Feldblyum, Tamara and Peterson, Jeremy and Suh, Bernard and Angiuoli, Sam and Pertea, Mihaela and Allen, Jonathan and J. Selengut and White, Owen and Cummings, Leda M. and Smith, Hamilton O. and Adams, Mark D. and Venter, J. Craig and Carucci, Daniel J. and Hoffman, Stephen L. and Fraser, Claire M.} } @article {38113, title = {Analysis of a donor gene region for a variant surface glycoprotein and its expression site in African trypanosomes}, journal = {Nucleic acids researchNucleic Acids Research}, volume = {29}, year = {2001}, author = {LaCount, D. J. and Najib M. El-Sayed and Kaul, S. and Wanless, D. and Turner, C. M. R. and Donelson, J. E.} } @article {38230, title = {Enrichment of Regulatory Signals in Conserved Non-Coding Genomic Sequence}, journal = {BioinformaticsBioinformaticsBioinformaticsBioinformatics}, volume = {17}, year = {2001}, type = {10.1093/bioinformatics/17.10.871}, abstract = {Motivation: Whole genome shotgun sequencing strategies generate sequence data prior to the application of assembly methodologies that result in contiguous sequence. Sequence reads can be employed to indicate regions of conservation between closely related species for which only one genome has been assembled. Consequently, by using pairwise sequence alignments methods it is possible to identify novel, non-repetitive, conserved segments in non-coding sequence that exist between the assembled human genome and mouse whole genome shotgun sequencing fragments. Conserved non-coding regions identify potentially functional DNA that could be involved in transcriptional regulation.Results: Local sequence alignment methods were applied employing mouse fragments and the assembled human genome. In addition, transcription factor binding sites were detected by aligning their corresponding positional weight matrices to the sequence regions. These methods were applied to a set of transcripts corresponding to 502 genes associated with a variety of different human diseases taken from the Online Mendelian Inheritance in Man database. Using statistical arguments we have shown that conserved non-coding segments contain an enrichment of transcription factor binding sites when compared to the sequence background in which the conserved segments are located. This enrichment of binding sites was not observed in coding sequence. Conserved non-coding segments are not extensively repeated in the genome and therefore their identification provides a rapid means of finding genes with related conserved regions, and consequently potentially related regulatory mechanism. Conserved segments in upstream regions are found to contain binding sites that are co-localized in a manner consistent with experimentally known transcription factor pairwise co-occurrences and afford the identification of novel co-occurring Transcription Factor (TF) pairs. This study provides a methodology and more evidence to suggest that conserved non-coding regions are biologically significant since they contain a statistical enrichment of regulatory signals and pairs of signals that enable the construction of regulatory models for human genes. Contact: samuel.levy@celera.com}, isbn = {1367-4803, 1460-2059}, author = {Levy, Samuel and Sridhar Hannenhalli and Workman, Christopher} } @article {49692, title = {The genome sequence of Drosophila melanogaster.}, journal = {Science}, volume = {287}, year = {2000}, month = {2000 Mar 24}, pages = {2185-95}, abstract = {

The fly Drosophila melanogaster is one of the most intensively studied organisms in biology and serves as a model system for the investigation of many developmental and cellular processes common to higher eukaryotes, including humans. We have determined the nucleotide sequence of nearly all of the approximately 120-megabase euchromatic portion of the Drosophila genome using a whole-genome shotgun sequencing strategy supported by extensive clone-based sequence and a high-quality bacterial artificial chromosome physical map. Efforts are under way to close the remaining gaps; however, the sequence is of sufficient accuracy and contiguity to be declared substantially complete and to support an initial analysis of genome structure and preliminary gene annotation and interpretation. The genome encodes approximately 13,600 genes, somewhat fewer than the smaller Caenorhabditis elegans genome, but with comparable functional diversity.

}, keywords = {Animals, Biological Transport, Chromatin, Cloning, Molecular, Computational Biology, Contig Mapping, Cytochrome P-450 Enzyme System, DNA Repair, DNA Replication, Drosophila melanogaster, Euchromatin, Gene Library, Genes, Insect, Genome, Heterochromatin, Insect Proteins, Nuclear Proteins, Protein Biosynthesis, Sequence Analysis, DNA, Transcription, Genetic}, issn = {0036-8075}, author = {Adams, M D and Celniker, S E and Holt, R A and Evans, C A and Gocayne, J D and Amanatides, P G and Scherer, S E and Li, P W and Hoskins, R A and Galle, R F and George, R A and Lewis, S E and Richards, S and Ashburner, M and Henderson, S N and Sutton, G G and Wortman, J R and Yandell, M D and Zhang, Q and Chen, L X and Brandon, R C and Rogers, Y H and Blazej, R G and Champe, M and Pfeiffer, B D and Wan, K H and Doyle, C and Baxter, E G and Helt, G and Nelson, C R and Gabor, G L and Abril, J F and Agbayani, A and An, H J and Andrews-Pfannkoch, C and Baldwin, D and Ballew, R M and Basu, A and Baxendale, J and Bayraktaroglu, L and Beasley, E M and Beeson, K Y and Benos, P V and Berman, B P and Bhandari, D and Bolshakov, S and Borkova, D and Botchan, M R and Bouck, J and Brokstein, P and Brottier, P and Burtis, K C and Busam, D A and Butler, H and Cadieu, E and Center, A and Chandra, I and Cherry, J M and Cawley, S and Dahlke, C and Davenport, L B and Davies, P and de Pablos, B and Delcher, A and Deng, Z and Mays, A D and Dew, I and Dietz, S M and Dodson, K and Doup, L E and Downes, M and Dugan-Rocha, S and Dunkov, B C and Dunn, P and Durbin, K J and Evangelista, C C and Ferraz, C and Ferriera, S and Fleischmann, W and Fosler, C and Gabrielian, A E and Garg, N S and Gelbart, W M and Glasser, K and Glodek, A and Gong, F and Gorrell, J H and Gu, Z and Guan, P and Harris, M and Harris, N L and Harvey, D and Heiman, T J and Hernandez, J R and Houck, J and Hostin, D and Houston, K A and Howland, T J and Wei, M H and Ibegwam, C and Jalali, M and Kalush, F and Karpen, G H and Ke, Z and Kennison, J A and Ketchum, K A and Kimmel, B E and Kodira, C D and Kraft, C and Kravitz, S and Kulp, D and Lai, Z and Lasko, P and Lei, Y and Levitsky, A A and Li, J and Li, Z and Liang, Y and Lin, X and Liu, X and Mattei, B and McIntosh, T C and McLeod, M P and McPherson, D and Merkulov, G and Milshina, N V and Mobarry, C and Morris, J and Moshrefi, A and Mount, S M and Moy, M and Murphy, B and Murphy, L and Muzny, D M and Nelson, D L and Nelson, D R and Nelson, K A and Nixon, K and Nusskern, D R and Pacleb, J M and Palazzolo, M and Pittman, G S and Pan, S and Pollard, J and Puri, V and Reese, M G and Reinert, K and Remington, K and Saunders, R D and Scheeler, F and Shen, H and Shue, B C and Sid{\'e}n-Kiamos, I and Simpson, M and Skupski, M P and Smith, T and Spier, E and Spradling, A C and Stapleton, M and Strong, R and Sun, E and Svirskas, R and Tector, C and Turner, R and Venter, E and Wang, A H and Wang, X and Wang, Z Y and Wassarman, D A and Weinstock, G M and Weissenbach, J and Williams, S M and Worley, K C and Wu, D and Yang, S and Yao, Q A and Ye, J and Yeh, R F and Zaveri, J S and Zhan, M and Zhang, G and Zhao, Q and Zheng, L and Zheng, X H and Zhong, F N and Zhong, W and Zhou, X and Zhu, S and Zhu, X and Smith, H O and Gibbs, R A and Myers, E W and Rubin, G M and Venter, J C} } @article {38281, title = {Genes and other samples of DNA sequence data for phylogenetic inference}, journal = {The Biological BulletinThe Biological Bulletin}, volume = {196}, year = {1999}, author = {Michael P. Cummings and Otto, S. P. and Wakeley, J.} } @inbook {38216, title = {Drawing of Two-Dimensional Irregular Meshes}, booktitle = {Graph DrawingGraph Drawing}, series = {Lecture Notes in Computer Science}, volume = {1547}, year = {1998}, publisher = {Springer Berlin / Heidelberg}, organization = {Springer Berlin / Heidelberg}, abstract = {We present a method for transforming two-dimensional irregular meshes into square meshes with only a constant blow up in area. We also explore context invariant transformations of irregular meshes into square meshes and provide a lower bound for the transformation of down-staircases.}, isbn = {978-3-540-65473-5}, author = {Aggarwal, Alok and Rao Kosaraju, S. and M. Pop}, editor = {Whitesides, Sue} } @article {38436, title = {Pigment composition of putatively achlorophyllous angiosperms}, journal = {Plant Syst EvolPlant Syst Evol}, volume = {210}, year = {1998}, abstract = {Chlorophyll and carotenoid pigment composition was determined for ten species of putatively achlorophyllous angiosperms using high-performance liquid chromatography. Four families were represented: Lennoaceae (Pholisma arenarium); Monotropaceae (Allotropa virgata, Monotropa uniflora, Pterospora andromedea, Sarcodes sanguinea); Orobanchaceae (Epifagus virginiana, Orobanche cooperi, O. uniflora); Orchidaceae (Cephalanthera austinae, Corallorhiza maculata). Chlorophyll a was detected in all tars, but chlorophyll b was only detected in Corallorhiza maculata. The relative amount of chlorophyll and chlorophyll-related pigments in these plants is greatly reduced compared to fully autotrophic angiosperms.}, keywords = {Angiospermae, carotenoid, chlorophyll, high-performance liquid chromatography, Lennoaceae, Monotropaceae, Orchidaceae, Orobanchaceae, pigment}, author = {Michael P. Cummings and Welschmeyer, N. A.} } @article {38173, title = {A computational model of acute focal cortical lesions}, journal = {StrokeStroke}, volume = {28}, year = {1997}, author = {Goodall, S. and Reggia, James A. and Chen, Y. and Ruppin, E. and Whitney, C.} } @inbook {38346, title = {Inferring phylogenies from DNA sequence data: The effects of sampling}, booktitle = {New Uses for New PhylogeniesNew Uses for New Phylogenies}, year = {1996}, publisher = {Oxford University Press}, organization = {Oxford University Press}, author = {Otto, S. P. and Michael P. Cummings and Wakeley, J.}, editor = {Harvey, P. H. and Leigh Brown, A. J. and Maynard Smith, J. and Nee, S.} } @article {38476, title = {Sampling properties of DNA sequence data in phylogenetic analysis}, journal = {Mol Biol EvolMol Biol Evol}, volume = {12}, year = {1995}, abstract = {We inferred phylogenetic trees from individual genes and random samples of nucleotides from the mitochondrial genomes of 10 vertebrates and compared the results to those obtained by analyzing the whole genomes. Individual genes are poor samples in that they infrequently lead to the whole-genome tree. A large number of nucleotide sites is needed to exactly determine the whole-genome tree. A relatively small number of sites, however, often results in a tree close to the whole-genome tree. We found that blocks of contiguous sites were less likely to lead to the whole-genome tree than samples composed of sites drawn individually from throughout the genome. Samples of contiguous sites are not representative of the entire genome, a condition that violates a basic assumption of the bootstrap method as it is applied in phylogenetic studies.}, author = {Michael P. Cummings and Otto, S. P. and Wakeley, J.} } @article {49699, title = {P element-mediated in vivo deletion analysis of white-apricot: deletions between direct repeats are strongly favored.}, journal = {Genetics}, volume = {136}, year = {1994}, month = {1994 Mar}, pages = {1001-11}, abstract = {

We have isolated and characterized deletions arising within a P transposon, P[hswa], in the presence of P transposase. P[hswa] carries white-apricot (wa) sequences, including a complete copia element, under the control of an hsp70 promoter, and resembles the original wa allele in eye color phenotype. In the presence of P transposase, P[hswa] shows a high overall rate (approximately 3\%) of germline mutations that result in increased eye pigmentation. Of 234 derivatives of P[hswa] with greatly increased eye pigmentation, at least 205 carried deletions within copia. Of these, 201 were precise deletions between the directly repeated 276-nucleotide copia long terminal repeats (LTRs), and four were unique deletions. High rates of transposase-induced precise deletion were observed within another P transposon carrying unrelated 599 nucleotide repeats (yeast 2 mu FLP; recombinase target sites) separated by 5.7 kb. Our observation that P element-mediated deletion formation occurs preferentially between direct repeats suggests general methods for controlling deletion formation.

}, keywords = {Alleles, Animals, Animals, Genetically Modified, Base Sequence, Crosses, Genetic, DNA, DNA Transposable Elements, Drosophila, Eye Color, Female, Genes, Insect, Male, Molecular Sequence Data, Nucleotidyltransferases, PHENOTYPE, Recombination, Genetic, Repetitive Sequences, Nucleic Acid, Sequence Deletion, Transformation, Genetic, Transposases}, issn = {0016-6731}, author = {Kurkulos, M and Weinberg, J M and Roy, D and Mount, S M} } @article {49702, title = {Splicing signals in Drosophila: intron size, information content, and consensus sequences.}, journal = {Nucleic Acids Res}, volume = {20}, year = {1992}, month = {1992 Aug 25}, pages = {4255-62}, abstract = {

A database of 209 Drosophila introns was extracted from Genbank (release number 64.0) and examined by a number of methods in order to characterize features that might serve as signals for messenger RNA splicing. A tight distribution of sizes was observed: while the smallest introns in the database are 51 nucleotides, more than half are less than 80 nucleotides in length, and most of these have lengths in the range of 59-67 nucleotides. Drosophila splice sites found in large and small introns differ in only minor ways from each other and from those found in vertebrate introns. However, larger introns have greater pyrimidine-richness in the region between 11 and 21 nucleotides upstream of 3{\textquoteright} splice sites. The Drosophila branchpoint consensus matrix resembles C T A A T (in which branch formation occurs at the underlined A), and differs from the corresponding mammalian signal in the absence of G at the position immediately preceding the branchpoint. The distribution of occurrences of this sequence suggests a minimum distance between 5{\textquoteright} splice sites and branchpoints of about 38 nucleotides, and a minimum distance between 3{\textquoteright} splice sites and branchpoints of 15 nucleotides. The methods we have used detect no information in exon sequences other than in the few nucleotides immediately adjacent to the splice sites. However, Drosophila resembles many other species in that there is a discontinuity in A + T content between exons and introns, which are A + T rich.

}, keywords = {Animals, Base Sequence, Consensus Sequence, Databases, Factual, Drosophila, Introns, Molecular Sequence Data, RNA Splicing, RNA, Messenger, software}, issn = {0305-1048}, author = {Mount, S M and Burks, C and Hertz, G and Stormo, G D and White, O and Fields, C} } @article {49703, title = {Polyadenylylation in copia requires unusually distant upstream sequences.}, journal = {Proc Natl Acad Sci U S A}, volume = {88}, year = {1991}, month = {1991 Apr 15}, pages = {3038-42}, abstract = {

Retroviruses and related genetic elements generate terminally redundant RNA products by differential polyadenylylation within a long terminal repeat. Expression of the white-apricot (wa) allele of Drosophila melanogaster, which carries an insertion of the 5.1-kilobase retrovirus-like transposable element copia in a small intron, is influenced by signals within copia. By using this indicator, we have isolated a 518-base-pair deletion, 312 base pairs upstream of the copia polyadenylylation site, that is phenotypically like much larger deletions and eliminates RNA species polyadenylylated in copia. This requirement of distant upstream sequences for copia polyadenylylation has implications for the expression of many genetic elements bearing long terminal repeats.

}, keywords = {Animals, Base Sequence, Blotting, Northern, DNA Transposable Elements, Drosophila melanogaster, Eye Color, Molecular Sequence Data, Oligonucleotides, Polymerase Chain Reaction, Regulatory Sequences, Nucleic Acid, Repetitive Sequences, Nucleic Acid, RNA Processing, Post-Transcriptional, RNA, Messenger}, issn = {0027-8424}, author = {Kurkulos, M and Weinberg, J M and Pepling, M E and Mount, S M} } @article {49715, title = {Pseudogenes for human small nuclear RNA U3 appear to arise by integration of self-primed reverse transcripts of the RNA into new chromosomal sites.}, journal = {Cell}, volume = {32}, year = {1983}, month = {1983 Feb}, pages = {461-72}, abstract = {

We find that both human and rat U3 snRNA can function as self-priming templates for AMV reverse transcriptase in vitro. The 74 base cDNA is primed by the 3{\textquoteright} end of intact U3 snRNA, and spans the characteristically truncated 69 or 70 base U3 sequence found in four different human U3 pseudogenes. The ability of human and rat U3 snRNA to self-prime is consistent with a U3 secondary structure model derived by a comparison between rat U3 snRNA and the homologous D2 snRNA from Dictyostelium discoideum. We propose that U3 pseudogenes are generated in vivo by integration of a self-primed cDNA copy of U3 snRNA at new chromosomal sites. We also consider the possibility that the same cDNA mediates gene conversion at the 5{\textquoteright} end of bona fide U3 genes where, over the entire region spanned by the U3 cDNA, the two rat U3 sequence variants U3A and U3B are identical.

}, keywords = {Animals, Base Sequence, DNA, genes, HUMANS, Nucleic Acid Conformation, Rats, Recombination, Genetic, Repetitive Sequences, Nucleic Acid, RNA, RNA, Small Nuclear, RNA-Directed DNA Polymerase, Templates, Genetic, Transcription, Genetic}, issn = {0092-8674}, author = {Bernstein, L B and Mount, S M and Weiner, A M} } @article {49716, title = {Small ribonucleoproteins from eukaryotes: structures and roles in RNA biogenesis.}, journal = {Cold Spring Harb Symp Quant Biol}, volume = {47 Pt 2}, year = {1983}, month = {1983}, pages = {893-900}, keywords = {Animals, Base Sequence, HeLa Cells, HUMANS, Mice, Molecular Weight, Nucleic Acid Conformation, Nucleic Acid Hybridization, Nucleoproteins, Ribonucleoproteins, Ribonucleoproteins, Small Nuclear, RNA Polymerase III, Transcription, Genetic}, issn = {0091-7451}, author = {Steitz, J A and Wolin, S L and Rinke, J and Pettersson, I and Mount, S M and Lerner, E A and Hinterberger, M and Gottlieb, E} } @article {49721, title = {Are snRNPs involved in splicing?}, journal = {Nature}, volume = {283}, year = {1980}, month = {1980 Jan 10}, pages = {220-4}, keywords = {Animals, Base Sequence, Cell Line, Chickens, Erythrocytes, HUMANS, Liver, Lupus Erythematosus, Systemic, Molecular Weight, Nucleic Acid Precursors, Nucleoproteins, Ribonucleoproteins, RNA, Heterogeneous Nuclear, Species Specificity}, issn = {0028-0836}, author = {Lerner, M R and Boyle, J A and Mount, S M and Wolin, S L and Steitz, J A} }