Literature DB >> 10101182

Beneficial mutations, hitchhiking and the evolution of mutation rates in sexual populations.

T Johnson1.   

Abstract

Natural selection acts in three ways on heritable variation for mutation rates. A modifier allele that increases the mutation rate is (i) disfavored due to association with deleterious mutations, but is also favored due to (ii) association with beneficial mutations and (iii) the reduced costs of lower fidelity replication. When a unique beneficial mutation arises and sweeps to fixation, genetic hitchhiking may cause a substantial change in the frequency of a modifier of mutation rate. In previous studies of the evolution of mutation rates in sexual populations, this effect has been underestimated. This article models the long-term effect of a series of such hitchhiking events and determines the resulting strength of indirect selection on the modifier. This is compared to the indirect selection due to deleterious mutations, when both types of mutations are randomly scattered over a given genetic map. Relative to an asexual population, increased levels of recombination reduce the effects of beneficial mutations more rapidly than those of deleterious mutations. However, the role of beneficial mutations in determining the evolutionarily stable mutation rate may still be significant if the function describing the cost of high-fidelity replication has a shallow gradient.

Mesh:

Year:  1999        PMID: 10101182      PMCID: PMC1460574     

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


  30 in total

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Journal:  Genetics       Date:  1998-04       Impact factor: 4.562

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Journal:  Nature       Date:  1997-05-08       Impact factor: 49.962

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Journal:  Genetics       Date:  1995-06       Impact factor: 4.562

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Journal:  Nature       Date:  1983-04-07       Impact factor: 49.962

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  47 in total

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Journal:  Proc Biol Sci       Date:  1999-12-07       Impact factor: 5.349

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Authors:  Mark M Tanaka; Carl T Bergstrom; Bruce R Levin
Journal:  Genetics       Date:  2003-07       Impact factor: 4.562

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Journal:  Evolution       Date:  2010-11       Impact factor: 3.694

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Authors:  Michael Lynch; Adam Abegg
Journal:  Mol Biol Evol       Date:  2010-01-29       Impact factor: 16.240

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