Literature DB >> 22416125

Protein misinteraction avoidance causes highly expressed proteins to evolve slowly.

Jian-Rong Yang1, Ben-Yang Liao, Shi-Mei Zhuang, Jianzhi Zhang.   

Abstract

The tempo and mode of protein evolution have been central questions in biology. Genomic data have shown a strong influence of the expression level of a protein on its rate of sequence evolution (E-R anticorrelation), which is currently explained by the protein misfolding avoidance hypothesis. Here, we show that this hypothesis does not fully explain the E-R anticorrelation, especially for protein surface residues. We propose that natural selection against protein-protein misinteraction, which wastes functional molecules and is potentially toxic, constrains the evolution of surface residues. Because highly expressed proteins are under stronger pressures to avoid misinteraction, surface residues are expected to show an E-R anticorrelation. Our molecular-level evolutionary simulation and yeast genomic analysis confirm multiple predictions of the hypothesis. These findings show a pluralistic origin of the E-R anticorrelation and reveal the role of protein misinteraction, an inherent property of complex cellular systems, in constraining protein evolution.

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Year:  2012        PMID: 22416125      PMCID: PMC3325723          DOI: 10.1073/pnas.1117408109

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


  60 in total

1.  The Protein Data Bank.

Authors:  H M Berman; J Westbrook; Z Feng; G Gilliland; T N Bhat; H Weissig; I N Shindyalov; P E Bourne
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  Functional organization of the yeast proteome by systematic analysis of protein complexes.

Authors:  Anne-Claude Gavin; Markus Bösche; Roland Krause; Paola Grandi; Martina Marzioch; Andreas Bauer; Jörg Schultz; Jens M Rick; Anne-Marie Michon; Cristina-Maria Cruciat; Marita Remor; Christian Höfert; Malgorzata Schelder; Miro Brajenovic; Heinz Ruffner; Alejandro Merino; Karin Klein; Manuela Hudak; David Dickson; Tatjana Rudi; Volker Gnau; Angela Bauch; Sonja Bastuck; Bettina Huhse; Christina Leutwein; Marie-Anne Heurtier; Richard R Copley; Angela Edelmann; Erich Querfurth; Vladimir Rybin; Gerard Drewes; Manfred Raida; Tewis Bouwmeester; Peer Bork; Bertrand Seraphin; Bernhard Kuster; Gitte Neubauer; Giulio Superti-Furga
Journal:  Nature       Date:  2002-01-10       Impact factor: 49.962

Review 3.  Binding constraints on the evolution of enzymes and signalling proteins: the important role of negative pleiotropy.

Authors:  David A Liberles; Makayla D M Tisdell; Johan A Grahnen
Journal:  Proc Biol Sci       Date:  2011-04-13       Impact factor: 5.349

4.  Molecular evidence for an ancient duplication of the entire yeast genome.

Authors:  K H Wolfe; D C Shields
Journal:  Nature       Date:  1997-06-12       Impact factor: 49.962

5.  A novel genetic system to detect protein-protein interactions.

Authors:  S Fields; O Song
Journal:  Nature       Date:  1989-07-20       Impact factor: 49.962

6.  The relationship among gene expression, the evolution of gene dosage, and the rate of protein evolution.

Authors:  Jean-François Gout; Daniel Kahn; Laurent Duret
Journal:  PLoS Genet       Date:  2010-05-13       Impact factor: 5.917

7.  Expression level, evolutionary rate, and the cost of expression.

Authors:  Joshua L Cherry
Journal:  Genome Biol Evol       Date:  2010-09-30       Impact factor: 3.416

8.  Non-adaptive origins of interactome complexity.

Authors:  Ariel Fernández; Michael Lynch
Journal:  Nature       Date:  2011-05-18       Impact factor: 49.962

9.  Why is the correlation between gene importance and gene evolutionary rate so weak?

Authors:  Zhi Wang; Jianzhi Zhang
Journal:  PLoS Genet       Date:  2009-01-09       Impact factor: 5.917

10.  Constraints imposed by non-functional protein-protein interactions on gene expression and proteome size.

Authors:  Jingshan Zhang; Sergei Maslov; Eugene I Shakhnovich
Journal:  Mol Syst Biol       Date:  2008-08-05       Impact factor: 11.429

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  90 in total

1.  Expression Differentiation Is Constrained to Low-Expression Proteins over Ecological Timescales.

Authors:  Mark J Margres; Kenneth P Wray; Margaret Seavy; James J McGivern; Nathanael D Herrera; Darin R Rokyta
Journal:  Genetics       Date:  2015-11-06       Impact factor: 4.562

Review 2.  Selection on protein structure, interaction, and sequence.

Authors:  Peter B Chi; David A Liberles
Journal:  Protein Sci       Date:  2016-02-11       Impact factor: 6.725

3.  Conserved proteins are fragile.

Authors:  Raquel Assis; Alexey S Kondrashov
Journal:  Mol Biol Evol       Date:  2013-11-07       Impact factor: 16.240

4.  Human coding RNA editing is generally nonadaptive.

Authors:  Guixia Xu; Jianzhi Zhang
Journal:  Proc Natl Acad Sci U S A       Date:  2014-02-24       Impact factor: 11.205

5.  Testing whether metazoan tyrosine loss was driven by selection against promiscuous phosphorylation.

Authors:  Siddharth Pandya; Travis J Struck; Brian K Mannakee; Mary Paniscus; Ryan N Gutenkunst
Journal:  Mol Biol Evol       Date:  2014-10-13       Impact factor: 16.240

Review 6.  Lymphocyte repertoire selection and intracellular self/non-self-discrimination: historical overview.

Authors:  Donald R Forsdyke
Journal:  Immunol Cell Biol       Date:  2014-11-11       Impact factor: 5.126

7.  Protein folding and binding can emerge as evolutionary spandrels through structural coupling.

Authors:  Michael Manhart; Alexandre V Morozov
Journal:  Proc Natl Acad Sci U S A       Date:  2015-01-26       Impact factor: 11.205

8.  Protein Melting Temperature Cannot Fully Assess Whether Protein Folding Free Energy Underlies the Universal Abundance-Evolutionary Rate Correlation Seen in Proteins.

Authors:  Rostam M Razban
Journal:  Mol Biol Evol       Date:  2019-09-01       Impact factor: 16.240

Review 9.  Comparing protein folding in vitro and in vivo: foldability meets the fitness challenge.

Authors:  Karan S Hingorani; Lila M Gierasch
Journal:  Curr Opin Struct Biol       Date:  2014-01-14       Impact factor: 6.809

10.  Emerging Frontiers in the Study of Molecular Evolution.

Authors:  David A Liberles; Belinda Chang; Kerry Geiler-Samerotte; Aaron Goldman; Jody Hey; Betül Kaçar; Michelle Meyer; William Murphy; David Posada; Andrew Storfer
Journal:  J Mol Evol       Date:  2020-04       Impact factor: 2.395

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