Literature DB >> 11035803

Localizing proteins in the cell from their phylogenetic profiles.

E M Marcotte1, I Xenarios, A M van Der Bliek, D Eisenberg.   

Abstract

We introduce a computational method for identifying subcellular locations of proteins from the phylogenetic distribution of the homologs of organellar proteins. This method is based on the observation that proteins localized to a given organelle by experiments tend to share a characteristic phylogenetic distribution of their homologs-a phylogenetic profile. Therefore any other protein can be localized by its phylogenetic profile. Application of this method to mitochondrial proteins reveals that nucleus-encoded proteins previously known to be destined for mitochondria fall into three groups: prokaryote-derived, eukaryote-derived, and organism-specific (i.e., found only in the organism under study). Prokaryote-derived mitochondrial proteins can be identified effectively by their phylogenetic profiles. In the yeast Saccharomyces cerevisiae, 361 nucleus-encoded mitochondrial proteins can be identified at 50% accuracy with 58% coverage. From these values and the proportion of conserved mitochondrial genes, it can be inferred that approximately 630 genes, or 10% of the nuclear genome, is devoted to mitochondrial function. In the worm Caenorhabditis elegans, we estimate that there are approximately 660 nucleus-encoded mitochondrial genes, or 4% of its genome, with approximately 400 of these genes contributed from the prokaryotic mitochondrial ancestor. The large fraction of organism-specific and eukaryote-derived genes suggests that mitochondria perform specialized roles absent from prokaryotic mitochondrial ancestors. We observe measurably distinct phylogenetic profiles among proteins from different subcellular compartments, allowing the general use of prokaryotic genomes in learning features of eukaryotic proteins.

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Year:  2000        PMID: 11035803      PMCID: PMC17303          DOI: 10.1073/pnas.220399497

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  28 in total

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Authors:  E M Marcotte; M Pellegrini; T O Yeates; D Eisenberg
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Review 2.  Evolution of organellar genomes.

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Review 3.  Protein transport into mitochondria.

Authors:  J M Herrmann; W Neupert
Journal:  Curr Opin Microbiol       Date:  2000-04       Impact factor: 7.934

4.  Computational genetics: finding protein function by nonhomology methods.

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Journal:  Curr Opin Struct Biol       Date:  2000-06       Impact factor: 6.809

5.  Functional analysis of 150 deletion mutants in Saccharomyces cerevisiae by a systematic approach.

Authors:  K D Entian; T Schuster; J H Hegemann; D Becher; H Feldmann; U Güldener; R Götz; M Hansen; C P Hollenberg; G Jansen; W Kramer; S Klein; P Kötter; J Kricke; H Launhardt; G Mannhaupt; A Maierl; P Meyer; W Mewes; T Munder; R K Niedenthal; M Ramezani Rad; A Röhmer; A Römer; A Hinnen
Journal:  Mol Gen Genet       Date:  1999-12

6.  MIPS: a database for genomes and protein sequences.

Authors:  H W Mewes; D Frishman; C Gruber; B Geier; D Haase; A Kaps; K Lemcke; G Mannhaupt; F Pfeiffer; C Schüller; S Stocker; B Weil
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7.  The yeast proteome database (YPD) and Caenorhabditis elegans proteome database (WormPD): comprehensive resources for the organization and comparison of model organism protein information.

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Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

8.  The detection and classification of membrane-spanning proteins.

Authors:  P Klein; M Kanehisa; C DeLisi
Journal:  Biochim Biophys Acta       Date:  1985-05-28

9.  Yeast peroxisomal multifunctional enzyme: (3R)-hydroxyacyl-CoA dehydrogenase domains A and B are required for optimal growth on oleic acid.

Authors:  Y M Qin; M S Marttila; A M Haapalainen; K M Siivari; T Glumoff; J K Hiltunen
Journal:  J Biol Chem       Date:  1999-10-01       Impact factor: 5.157

Review 10.  Fatty acid biosynthesis in yeast.

Authors:  E Schweizer; K Werkmeister; M K Jain
Journal:  Mol Cell Biochem       Date:  1978-11-01       Impact factor: 3.396

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  67 in total

1.  Genome-wide analysis of mRNAs targeted to yeast mitochondria.

Authors:  Philippe Marc; Antoine Margeot; Frederic Devaux; Corinne Blugeon; Marisol Corral-Debrinski; Claude Jacq
Journal:  EMBO Rep       Date:  2002-01-29       Impact factor: 8.807

2.  The global phylogeny of glycolytic enzymes.

Authors:  B Canback; S G E Andersson; C G Kurland
Journal:  Proc Natl Acad Sci U S A       Date:  2002-04-30       Impact factor: 11.205

3.  Experimental analysis of the Arabidopsis mitochondrial proteome highlights signaling and regulatory components, provides assessment of targeting prediction programs, and indicates plant-specific mitochondrial proteins.

Authors:  Joshua L Heazlewood; Julian S Tonti-Filippini; Alexander M Gout; David A Day; James Whelan; A Harvey Millar
Journal:  Plant Cell       Date:  2003-12-11       Impact factor: 11.277

Review 4.  Horizontal gene transfer: a critical view.

Authors:  C G Kurland; B Canback; Otto G Berg
Journal:  Proc Natl Acad Sci U S A       Date:  2003-08-05       Impact factor: 11.205

5.  Predicting protein cellular localization using a domain projection method.

Authors:  Richard Mott; Jörg Schultz; Peer Bork; Chris P Ponting
Journal:  Genome Res       Date:  2002-08       Impact factor: 9.043

Review 6.  Genomic biodiversity, phylogenetics and coevolution in proteins.

Authors:  David D Pollock
Journal:  Appl Bioinformatics       Date:  2002

7.  Predicting subcellular localization via protein motif co-occurrence.

Authors:  Michelle S Scott; David Y Thomas; Michael T Hallett
Journal:  Genome Res       Date:  2004-10       Impact factor: 9.043

8.  Mitochondria-associated yeast mRNAs and the biogenesis of molecular complexes.

Authors:  M Garcia; X Darzacq; T Delaveau; L Jourdren; R H Singer; C Jacq
Journal:  Mol Biol Cell       Date:  2006-11-15       Impact factor: 4.138

Review 9.  Computational prediction of protein-protein interactions.

Authors:  Lucy Skrabanek; Harpreet K Saini; Gary D Bader; Anton J Enright
Journal:  Mol Biotechnol       Date:  2007-08-14       Impact factor: 2.695

Review 10.  Evolution of early eukaryotic cells: genomes, proteomes, and compartments.

Authors:  Lawrence Bogorad
Journal:  Photosynth Res       Date:  2007-10-03       Impact factor: 3.573

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