Literature DB >> 21288876

Epistasis increases the rate of conditionally neutral substitution in an adapting population.

Jeremy A Draghi1, Todd L Parsons, Joshua B Plotkin.   

Abstract

Kimura observed that the rate of neutral substitution should equal the neutral mutation rate. This classic result is central to our understanding of molecular evolution, and it continues to influence phylogenetics, genomics, and the interpretation of evolution experiments. By demonstrating that neutral mutations substitute at a rate independent of population size and selection at linked sites, Kimura provided an influential justification for the idea of a molecular clock and emphasized the importance of genetic drift in shaping molecular evolution. But when epistasis among sites is common, as numerous empirical studies suggest, do neutral mutations substitute according to Kimura's expectation? Here we study simulated, asexual populations of RNA molecules, and we observe that conditionally neutral mutations--i.e., mutations that do not alter the fitness of the individual in which they arise, but that may alter the fitness effects of subsequent mutations--substitute much more often than expected while a population is adapting. We quantify these effects using a simple population-genetic model that elucidates how the substitution rate at conditionally neutral sites depends on the population size, mutation rate, strength of selection, and prevalence of epistasis. We discuss the implications of these results for our understanding of the molecular clock, and for the interpretation of molecular variation in laboratory and natural populations.

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Year:  2011        PMID: 21288876      PMCID: PMC3070522          DOI: 10.1534/genetics.110.125997

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  54 in total

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2.  Understanding the overdispersed molecular clock.

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3.  Lack of self-averaging in neutral evolution of proteins.

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4.  Epidemiology. Influenza escapes immunity along neutral networks.

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5.  Codon usage and selection on proteins.

Authors:  Joshua B Plotkin; Jonathan Dushoff; Michael M Desai; Hunter B Fraser
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6.  Evolution of evolvability in a developmental model.

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7.  Genome evolution and adaptation in a long-term experiment with Escherichia coli.

Authors:  Jeffrey E Barrick; Dong Su Yu; Sung Ho Yoon; Haeyoung Jeong; Tae Kwang Oh; Dominique Schneider; Richard E Lenski; Jihyun F Kim
Journal:  Nature       Date:  2009-10-18       Impact factor: 49.962

8.  Continuity in evolution: on the nature of transitions.

Authors:  W Fontana; P Schuster
Journal:  Science       Date:  1998-05-29       Impact factor: 47.728

9.  Permissive secondary mutations enable the evolution of influenza oseltamivir resistance.

Authors:  Jesse D Bloom; Lizhi Ian Gong; David Baltimore
Journal:  Science       Date:  2010-06-04       Impact factor: 47.728

10.  The rate at which asexual populations cross fitness valleys.

Authors:  Daniel B Weissman; Michael M Desai; Daniel S Fisher; Marcus W Feldman
Journal:  Theor Popul Biol       Date:  2009-03-13       Impact factor: 1.570

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  7 in total

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Authors:  Susanna Manrubia; José A Cuesta
Journal:  J R Soc Interface       Date:  2015-01-06       Impact factor: 4.118

2.  Spiraling Complexity: A Test of the Snowball Effect in a Computational Model of RNA Folding.

Authors:  Ata Kalirad; Ricardo B R Azevedo
Journal:  Genetics       Date:  2016-12-22       Impact factor: 4.562

3.  Genotype network intersections promote evolutionary innovation.

Authors:  Devin P Bendixsen; James Collet; Bjørn Østman; Eric J Hayden
Journal:  PLoS Biol       Date:  2019-05-28       Impact factor: 8.029

4.  Mapping the fitness landscape of gene expression uncovers the cause of antagonism and sign epistasis between adaptive mutations.

Authors:  Hsin-Hung Chou; Nigel F Delaney; Jeremy A Draghi; Christopher J Marx
Journal:  PLoS Genet       Date:  2014-02-27       Impact factor: 5.917

5.  Encoding asymmetry of the N-glycosylation motif facilitates glycoprotein evolution.

Authors:  Ryan Williams; Xiangyuan Ma; Ryan K Schott; Naveed Mohammad; Chi Yip Ho; Carey F Li; Belinda S W Chang; Michael Demetriou; James W Dennis
Journal:  PLoS One       Date:  2014-01-24       Impact factor: 3.240

6.  Epistatically interacting substitutions are enriched during adaptive protein evolution.

Authors:  Lizhi Ian Gong; Jesse D Bloom
Journal:  PLoS Genet       Date:  2014-05-08       Impact factor: 5.917

Review 7.  The population genetics of drug resistance evolution in natural populations of viral, bacterial and eukaryotic pathogens.

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Journal:  Mol Ecol       Date:  2015-12-17       Impact factor: 6.185

  7 in total

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