Physiological genomics of Escherichia coli protein families

1 Josephine Bay Paul Center for Comparative Molecular Biology and Evolution, Marine Biological Laboratory, Woods Hole, Massachusetts 02543 2 Institut de Génétique et Microbiologie, Centre National de la Recherche Scientifique UMR 8621, Bâtiment 409, Université de Paris-Sud, 91405 Orsay Cedex, France...

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Veröffentlicht in:Physiological genomics 2002-04, Vol.9 (1), p.15-26
Hauptverfasser: Liang, Ping, Labedan, Bernard, Riley, Monica
Format: Artikel
Sprache:eng
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Zusammenfassung:1 Josephine Bay Paul Center for Comparative Molecular Biology and Evolution, Marine Biological Laboratory, Woods Hole, Massachusetts 02543 2 Institut de Génétique et Microbiologie, Centre National de la Recherche Scientifique UMR 8621, Bâtiment 409, Université de Paris-Sud, 91405 Orsay Cedex, France The well-researched Escherichia coli genome offers the opportunity to explore the value of using protein families within a single organism to enrich functional annotation procedures and to study mechanisms of protein evolution. Having identified multimodular proteins resulting from gene fusion, and treated each module as a separate protein, nonoverlapping sequence-similar families in E. coli could be assembled. Of 3,902 proteins of length 100 residues or more, 2,415 clustered into 609 protein families. The relatedness of function among members of each family was dissected in detail. Data on paralogous protein families provides valuable information in attributing putative function to unknown genes, supplementing existing function annotation. Enzymes, transporters, and regulators represent the three major types of proteins in E. coli . They are shown to have distinctive patterns in gene duplication and divergence and gene fusion, suggesting that details of protein evolution have been different for genes in these categories. Data for the complete list of paralogous protein families and updated functional annotation for E. coli K-12 are accessible in GenProtEC ( http://genprotec.mbl.edu ). module; sequence similarity; protein family; predicting protein function; annotation; evolution
ISSN:1094-8341
1531-2267
DOI:10.1152/physiolgenomics.00086.2001