Literature DB >> 11429604

Protein dispensability and rate of evolution.

A E Hirsh1, H B Fraser.   

Abstract

If protein evolution is due in large part to slightly deleterious amino acid substitutions, then the rate of evolution should be greater in proteins that contribute less to individual fitness. The rationale for this prediction is that relatively dispensable proteins should be subject to weaker purifying selection, and should therefore accumulate mildly deleterious substitutions more rapidly. Although this argument was presented over twenty years ago, and is fundamental to many applications of evolutionary theory, the prediction has proved difficult to confirm. In fact, a recent study showed that essential mouse genes do not evolve more slowly than non-essential ones. Thus, although a variety of factors influencing the rate of protein evolution have been supported by extensive sequence analysis, the relationship between protein dispensability and evolutionary rate has remained unconfirmed. Here we use the results from a highly parallel growth assay of single gene deletions in yeast to assess protein dispensability, which we relate to evolutionary rate estimates that are based on comparisons of sequences drawn from twenty-one fully annotated genomes. Our analysis reveals a highly significant relationship between protein dispensability and evolutionary rate, and explains why this relationship is not detectable by categorical comparison of essential versus non-essential proteins. The relationship is highly conserved, so that protein dispensability in yeast is also predictive of evolutionary rate in a nematode worm.

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Year:  2001        PMID: 11429604     DOI: 10.1038/35082561

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  178 in total

1.  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

2.  Gene loss, protein sequence divergence, gene dispensability, expression level, and interactivity are correlated in eukaryotic evolution.

Authors:  Dmitri M Krylov; Yuri I Wolf; Igor B Rogozin; Eugene V Koonin
Journal:  Genome Res       Date:  2003-10       Impact factor: 9.043

3.  Bioinformatical assay of human gene morbidity.

Authors:  Fyodor A Kondrashov; Aleksey Y Ogurtsov; Alexey S Kondrashov
Journal:  Nucleic Acids Res       Date:  2004-03-12       Impact factor: 16.971

4.  Relaxed genetic constraint is ancestral to the evolution of phenotypic plasticity.

Authors:  Aaron R Leichty; David W Pfennig; Corbin D Jones; Karin S Pfennig
Journal:  Integr Comp Biol       Date:  2012-04-23       Impact factor: 3.326

5.  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

6.  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

7.  Sex-specific functional specialization and the evolutionary rates of essential fertility genes.

Authors:  Dara G Torgerson; Brett R Whitty; Rama S Singh
Journal:  J Mol Evol       Date:  2005-10-20       Impact factor: 2.395

8.  Accelerated evolution of morph-biased genes in pea aphids.

Authors:  Swapna R Purandare; Ryan D Bickel; Julie Jaquiery; Claude Rispe; Jennifer A Brisson
Journal:  Mol Biol Evol       Date:  2014-04-26       Impact factor: 16.240

9.  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

10.  Evolutionary rate and gene expression across different brain regions.

Authors:  Tamir Tuller; Martin Kupiec; Eytan Ruppin
Journal:  Genome Biol       Date:  2008       Impact factor: 13.583

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