Literature DB >> 17468399

Specificity in protein interactions and its relationship with sequence diversity and coevolution.

Luke Hakes1, Simon C Lovell, Stephen G Oliver, David L Robertson.   

Abstract

Studies of interacting proteins have found correlated evolution of the sequences of binding partners, apparently as a result of compensating mutations to maintain specificity (i.e., molecular coevolution). Here, we analyze the coevolution of interacting proteins in yeast and demonstrate correlated evolution of binding partners in eukaryotes. Detailed investigation of this apparent coevolution, focusing on the proteins' surface and binding interface, surprisingly leads to no improvement in the correlation. We conclude that true coevolution, as characterized by compensatory mutations between binding partners, is unlikely to be chiefly responsible for the apparent correlated evolution. We postulate that the correlation between sequence alignments is simply due to interacting proteins being subject to similar constraints on their evolutionary rate. Because gene expression has a strong influence on evolutionary rate, and interacting proteins will tend to have similar levels of expression, we investigated this particular constraint. We found that the absolute expression level outperformed correlated evolution for predicting interacting protein partners. A correlation between sequence alignments could also be identified not only between pairs of proteins that physically interact but also between those that are merely functionally related (i.e., within the same protein complex). This indicates that the observed correlated evolution of interacting proteins is due to similar constraints on evolutionary rate and not coevolution.

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Year:  2007        PMID: 17468399      PMCID: PMC1876561          DOI: 10.1073/pnas.0609962104

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


  53 in total

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5.  Coevolution of gene expression among interacting proteins.

Authors:  Hunter B Fraser; Aaron E Hirsh; Dennis P Wall; Michael B Eisen
Journal:  Proc Natl Acad Sci U S A       Date:  2004-06-02       Impact factor: 11.205

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Journal:  Trends Genet       Date:  2006-06-23       Impact factor: 11.639

7.  Proof and evolutionary analysis of ancient genome duplication in the yeast Saccharomyces cerevisiae.

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8.  Genome evolution in yeasts.

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Review 9.  Evolutionary genomics: yeasts accelerate beyond BLAST.

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Journal:  Curr Biol       Date:  2004-05-25       Impact factor: 10.834

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  53 in total

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3.  A novel method to detect proteins evolving at correlated rates: identifying new functional relationships between coevolving proteins.

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Journal:  Mol Biol Evol       Date:  2009-12-31       Impact factor: 16.240

4.  Systemic factors dominate mammal protein evolution.

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5.  The human protein coevolution network.

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6.  Contact density affects protein evolutionary rate from bacteria to animals.

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7.  From evidence to inference: probing the evolution of protein interaction networks.

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Journal:  HFSP J       Date:  2009-10-19

8.  Recent advances in clustering methods for protein interaction networks.

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9.  Covariation of branch lengths in phylogenies of functionally related genes.

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Journal:  PLoS One       Date:  2009-12-29       Impact factor: 3.240

10.  Coevolution of interacting fertilization proteins.

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Journal:  PLoS Genet       Date:  2009-07-24       Impact factor: 5.917

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