@article {49736, title = {Stoichiometry of site-specific lysine acetylation in an entire proteome.}, journal = {J Biol Chem}, volume = {289}, year = {2014}, month = {2014 Aug 1}, pages = {21326-38}, abstract = {

Acetylation of lysine ϵ-amino groups influences many cellular processes and has been mapped to thousands of sites across many organisms. Stoichiometric information of acetylation is essential to accurately interpret biological significance. Here, we developed and employed a novel method for directly quantifying stoichiometry of site-specific acetylation in the entire proteome of Escherichia coli. By coupling isotopic labeling and a novel pairing algorithm, our approach performs an in silico enrichment of acetyl peptides, circumventing the need for immunoenrichment. We investigated the function of the sole NAD(+)-dependent protein deacetylase, CobB, on both site-specific and global acetylation. We quantified 2206 peptides from 899 proteins and observed a wide distribution of acetyl stoichiometry, ranging from less than 1\% up to 98\%. Bioinformatic analysis revealed that metabolic enzymes, which either utilize or generate acetyl-CoA, and proteins involved in transcriptional and translational processes displayed the highest degree of acetylation. Loss of CobB led to increased global acetylation at low stoichiometry sites and induced site-specific changes at high stoichiometry sites, and biochemical analysis revealed altered acetyl-CoA metabolism. Thus, this study demonstrates that sirtuin deacetylase deficiency leads to both site-specific and global changes in protein acetylation stoichiometry, affecting central metabolism.

}, keywords = {Acetylation, Amino Acid Sequence, Bacterial Proteins, Chromatography, High Pressure Liquid, Computational Biology, Escherichia coli, Lysine, Molecular Sequence Data, Proteome, Tandem Mass Spectrometry}, issn = {1083-351X}, doi = {10.1074/jbc.M114.581843}, author = {Baeza, Josue and Dowell, James A and Smallegan, Michael J and Fan, Jing and Amador-Noguez, Daniel and Khan, Zia and Denu, John M} } @article {38119, title = {Archaeosortases and exosortases are widely distributed systems linking membrane transit with posttranslational modification}, journal = {Journal of bacteriologyJournal of bacteriology}, volume = {194}, year = {2012}, note = {http://www.ncbi.nlm.nih.gov/pubmed/22037399?dopt=Abstract}, type = {10.1128/JB.06026-11}, abstract = {Multiple new prokaryotic C-terminal protein-sorting signals were found that reprise the tripartite architecture shared by LPXTG and PEP-CTERM: motif, TM helix, basic cluster. Defining hidden Markov models were constructed for all. PGF-CTERM occurs in 29 archaeal species, some of which have more than 50 proteins that share the domain. PGF-CTERM proteins include the major cell surface protein in Halobacterium, a glycoprotein with a partially characterized diphytanylglyceryl phosphate linkage near its C terminus. Comparative genomics identifies a distant exosortase homolog, designated archaeosortase A (ArtA), as the likely protein-processing enzyme for PGF-CTERM. Proteomics suggests that the PGF-CTERM region is removed. Additional systems include VPXXXP-CTERM/archeaosortase B in two of the same archaea and PEF-CTERM/archaeosortase C in four others. Bacterial exosortases often fall into subfamilies that partner with very different cohorts of extracellular polymeric substance biosynthesis proteins; several species have multiple systems. Variant systems include the VPDSG-CTERM/exosortase C system unique to certain members of the phylum Verrucomicrobia, VPLPA-CTERM/exosortase D in several alpha- and deltaproteobacterial species, and a dedicated (single-target) VPEID-CTERM/exosortase E system in alphaproteobacteria. Exosortase-related families XrtF in the class Flavobacteria and XrtG in Gram-positive bacteria mark distinctive conserved gene neighborhoods. A picture emerges of an ancient and now well-differentiated superfamily of deeply membrane-embedded protein-processing enzymes. Their target proteins are destined to transit cellular membranes during their biosynthesis, during which most undergo additional posttranslational modifications such as glycosylation.}, keywords = {Amino Acid Sequence, Aminoacyltransferases, Archaeal Proteins, Bacterial Proteins, Cell Membrane, Cysteine Endopeptidases, Gene Expression Regulation, Archaeal, Gene Expression Regulation, Bacterial, Gene Expression Regulation, Enzymologic, Molecular Sequence Data, Protein Processing, Post-Translational}, author = {Haft, Daniel H. and Payne, Samuel H. and J. Selengut} } @article {49775, title = {Archaeosortases and exosortases are widely distributed systems linking membrane transit with posttranslational modification.}, journal = {J Bacteriol}, volume = {194}, year = {2012}, month = {2012 Jan}, pages = {36-48}, abstract = {

Multiple new prokaryotic C-terminal protein-sorting signals were found that reprise the tripartite architecture shared by LPXTG and PEP-CTERM: motif, TM helix, basic cluster. Defining hidden Markov models were constructed for all. PGF-CTERM occurs in 29 archaeal species, some of which have more than 50 proteins that share the domain. PGF-CTERM proteins include the major cell surface protein in Halobacterium, a glycoprotein with a partially characterized diphytanylglyceryl phosphate linkage near its C terminus. Comparative genomics identifies a distant exosortase homolog, designated archaeosortase A (ArtA), as the likely protein-processing enzyme for PGF-CTERM. Proteomics suggests that the PGF-CTERM region is removed. Additional systems include VPXXXP-CTERM/archeaosortase B in two of the same archaea and PEF-CTERM/archaeosortase C in four others. Bacterial exosortases often fall into subfamilies that partner with very different cohorts of extracellular polymeric substance biosynthesis proteins; several species have multiple systems. Variant systems include the VPDSG-CTERM/exosortase C system unique to certain members of the phylum Verrucomicrobia, VPLPA-CTERM/exosortase D in several alpha- and deltaproteobacterial species, and a dedicated (single-target) VPEID-CTERM/exosortase E system in alphaproteobacteria. Exosortase-related families XrtF in the class Flavobacteria and XrtG in Gram-positive bacteria mark distinctive conserved gene neighborhoods. A picture emerges of an ancient and now well-differentiated superfamily of deeply membrane-embedded protein-processing enzymes. Their target proteins are destined to transit cellular membranes during their biosynthesis, during which most undergo additional posttranslational modifications such as glycosylation.

}, keywords = {Amino Acid Sequence, Aminoacyltransferases, Archaeal Proteins, Bacterial Proteins, Cell Membrane, Cysteine Endopeptidases, Gene Expression Regulation, Archaeal, Gene Expression Regulation, Bacterial, Gene Expression Regulation, Enzymologic, Molecular Sequence Data, Protein Processing, Post-Translational}, issn = {1098-5530}, doi = {10.1128/JB.06026-11}, author = {Haft, Daniel H and Payne, Samuel H and Selengut, Jeremy D} } @article {49744, title = {Accurate proteome-wide protein quantification from high-resolution 15N mass spectra.}, journal = {Genome Biol}, volume = {12}, year = {2011}, month = {2011}, pages = {R122}, abstract = {

In quantitative mass spectrometry-based proteomics, the metabolic incorporation of a single source of 15N-labeled nitrogen has many advantages over using stable isotope-labeled amino acids. However, the lack of a robust computational framework for analyzing the resulting spectra has impeded wide use of this approach. We have addressed this challenge by introducing a new computational methodology for analyzing 15N spectra in which quantification is integrated with identification. Application of this method to an Escherichia coli growth transition reveals significant improvement in quantification accuracy over previous methods.

}, keywords = {algorithms, Amino Acid Sequence, Bacterial Proteins, Escherichia coli, Isotope Labeling, Mass Spectrometry, Molecular Sequence Data, Nitrogen Isotopes, Proteome, proteomics, Sensitivity and Specificity, software}, issn = {1474-760X}, doi = {10.1186/gb-2011-12-12-r122}, author = {Khan, Zia and Amini, Sasan and Bloom, Joshua S and Ruse, Cristian and Caudy, Amy A and Kruglyak, Leonid and Singh, Mona and Perlman, David H and Tavazoie, Saeed} } @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 {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 {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 {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 {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 {49709, title = {Sequence similarity.}, journal = {Nature}, volume = {325}, year = {1987}, month = {1987 Feb 5-11}, pages = {487}, keywords = {Adenosine Triphosphate, Amino Acid Sequence, Animals, Bacterial Proteins, Biological Transport, Active, Carrier Proteins, Drosophila melanogaster, genes, HUMANS, Pigments, Biological, Sequence Homology, Nucleic Acid}, issn = {0028-0836}, doi = {10.1038/325487c0}, author = {Mount, S M} }