Literature DB >> 16176987

Why highly expressed proteins evolve slowly.

D Allan Drummond1, Jesse D Bloom, Christoph Adami, Claus O Wilke, Frances H Arnold.   

Abstract

Much recent work has explored molecular and population-genetic constraints on the rate of protein sequence evolution. The best predictor of evolutionary rate is expression level, for reasons that have remained unexplained. Here, we hypothesize that selection to reduce the burden of protein misfolding will favor protein sequences with increased robustness to translational missense errors. Pressure for translational robustness increases with expression level and constrains sequence evolution. Using several sequenced yeast genomes, global expression and protein abundance data, and sets of paralogs traceable to an ancient whole-genome duplication in yeast, we rule out several confounding effects and show that expression level explains roughly half the variation in Saccharomyces cerevisiae protein evolutionary rates. We examine causes for expression's dominant role and find that genome-wide tests favor the translational robustness explanation over existing hypotheses that invoke constraints on function or translational efficiency. Our results suggest that proteins evolve at rates largely unrelated to their functions and can explain why highly expressed proteins evolve slowly across the tree of life.

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Year:  2005        PMID: 16176987      PMCID: PMC1242296          DOI: 10.1073/pnas.0504070102

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


  43 in total

1.  Does the recombination rate affect the efficiency of purifying selection? The yeast genome provides a partial answer.

Authors:  C Pál; B Papp; L D Hurst
Journal:  Mol Biol Evol       Date:  2001-12       Impact factor: 16.240

Review 2.  Gene expression and molecular evolution.

Authors:  H Akashi
Journal:  Curr Opin Genet Dev       Date:  2001-12       Impact factor: 5.578

3.  Highly expressed genes in yeast evolve slowly.

Authors:  C Pál; B Papp; L D Hurst
Journal:  Genetics       Date:  2001-06       Impact factor: 4.562

4.  Medicine: danger--misfolding proteins.

Authors:  R John Ellis; Teresa J T Pinheiro
Journal:  Nature       Date:  2002-04-04       Impact factor: 49.962

5.  Protein dispensability and rate of evolution.

Authors:  A E Hirsh; H B Fraser
Journal:  Nature       Date:  2001-06-28       Impact factor: 49.962

6.  Essential genes are more evolutionarily conserved than are nonessential genes in bacteria.

Authors:  I King Jordan; Igor B Rogozin; Yuri I Wolf; Eugene V Koonin
Journal:  Genome Res       Date:  2002-06       Impact factor: 9.043

Review 7.  Errors and alternatives in reading the universal genetic code.

Authors:  J Parker
Journal:  Microbiol Rev       Date:  1989-09

8.  Determinants of substitution rates in mammalian genes: expression pattern affects selection intensity but not mutation rate.

Authors:  L Duret; D Mouchiroud
Journal:  Mol Biol Evol       Date:  2000-01       Impact factor: 16.240

9.  Evolutionary rate in the protein interaction network.

Authors:  Hunter B Fraser; Aaron E Hirsh; Lars M Steinmetz; Curt Scharfe; Marcus W Feldman
Journal:  Science       Date:  2002-04-26       Impact factor: 47.728

10.  Inherent toxicity of aggregates implies a common mechanism for protein misfolding diseases.

Authors:  Monica Bucciantini; Elisa Giannoni; Fabrizio Chiti; Fabiana Baroni; Lucia Formigli; Jesús Zurdo; Niccolò Taddei; Giampietro Ramponi; Christopher M Dobson; Massimo Stefani
Journal:  Nature       Date:  2002-04-04       Impact factor: 49.962

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  387 in total

1.  Investment in rapid growth shapes the evolutionary rates of essential proteins.

Authors:  Sara Vieira-Silva; Marie Touchon; Sophie S Abby; Eduardo P C Rocha
Journal:  Proc Natl Acad Sci U S A       Date:  2011-11-30       Impact factor: 11.205

2.  Level of gene expression is a major determinant of protein evolution in the viral order Mononegavirales.

Authors:  Israel Pagán; Edward C Holmes; Etienne Simon-Loriere
Journal:  J Virol       Date:  2012-02-15       Impact factor: 5.103

3.  Protein misinteraction avoidance causes highly expressed proteins to evolve slowly.

Authors:  Jian-Rong Yang; Ben-Yang Liao; Shi-Mei Zhuang; Jianzhi Zhang
Journal:  Proc Natl Acad Sci U S A       Date:  2012-03-13       Impact factor: 11.205

4.  Phosphorylation sites of higher stoichiometry are more conserved.

Authors:  Chris Soon Heng Tan; Gary D Bader
Journal:  Nat Methods       Date:  2012-03-27       Impact factor: 28.547

5.  Physical limits of cells and proteomes.

Authors:  Ken A Dill; Kingshuk Ghosh; Jeremy D Schmit
Journal:  Proc Natl Acad Sci U S A       Date:  2011-10-17       Impact factor: 11.205

Review 6.  5S rRNA gene arrangements in protists: a case of nonadaptive evolution.

Authors:  Guy Drouin; Corey Tsang
Journal:  J Mol Evol       Date:  2012-07-11       Impact factor: 2.395

Review 7.  Mutational effects and the evolution of new protein functions.

Authors:  Misha Soskine; Dan S Tawfik
Journal:  Nat Rev Genet       Date:  2010-08       Impact factor: 53.242

8.  Structural mapping of protein interactions reveals differences in evolutionary pressures correlated to mRNA level and protein abundance.

Authors:  Matt Eames; Tanja Kortemme
Journal:  Structure       Date:  2007-11       Impact factor: 5.006

9.  Sequential duplications of an ancient member of the DnaJ-family expanded the functional chaperone network in the eukaryotic cytosol.

Authors:  Chandan Sahi; Jacek Kominek; Thomas Ziegelhoffer; Hyun Young Yu; Maciej Baranowski; Jaroslaw Marszalek; Elizabeth A Craig
Journal:  Mol Biol Evol       Date:  2013-01-16       Impact factor: 16.240

10.  Protein evolutionary rates correlate with expression independently of synonymous substitutions in Helicobacter pylori.

Authors:  Björn Sällström; Ramy A Arnaout; Wagied Davids; Pär Bjelkmar; Siv G E Andersson
Journal:  J Mol Evol       Date:  2006-04-01       Impact factor: 2.395

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