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PMID: 11035803 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. Research Support, U.S. Gov't, P.H.S.

Localizing proteins in the cell from their phylogenetic profiles.

Marcotte EM, Xenarios I, van Der Bliek AM, Eisenberg D

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.

MeSH Terms
Algorithms Animals Caenorhabditis elegans/genetics,metabolism Membrane Proteins/metabolism Phylogeny Protein Sorting Signals/physiology Saccharomyces cerevisiae/genetics,metabolism Subcellular Fractions/metabolism
Chemicals
Membrane Proteins Protein Sorting Signals
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Marcotte E M
Molecular Biology Institute, University of California Los Angeles, 90095, USA.
Xenarios I
van Der Bliek A M
Eisenberg D
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28 references, click to expand
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Article Info
Journal
Proceedings of the National Academy of Sciences of the United States of America
Abbr.
Proc Natl Acad Sci U S A
ISSN
0027-8424
Published
2000-10-24
Pages
12115-20
Language
English
Region
United States
NLM ID
7505876
PMCID
PMC17303
Subset
IM
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