Literature DB >> 11333254

Epistasis and the mutation load: a measurement-theoretical approach.

T F Hansen1, G P Wagner.   

Abstract

An approximate solution for the mean fitness in mutation-selection balance with arbitrary order of epistatic interaction is derived. The solution is based on the assumptions of coupling equilibrium and that the interaction effects are multilinear. We find that the effect of m-order epistatic interactions (i.e., interactions among groups of m loci) on the load is dependent on the total genomic mutation rate, U, to the mth power. Thus, higher-order gene interactions are potentially important if U is large and the interaction density among loci is not too low. The solution suggests that synergistic epistasis will decrease the mutation load and that variation in epistatic effects will elevate the load. Both of these results, however, are strictly true only if they refer to epistatic interaction strengths measured in the optimal genotype. If gene interactions are measured at mutation-selection equilibrium, only synergistic interactions among even numbers of genes will reduce the load. Odd-ordered synergistic interactions will then elevate the load. There is no systematic relationship between variation in epistasis and load at equilibrium. We argue that empirical estimates of gene interaction must pay attention to the genetic background in which the effects are measured and that it may be advantageous to refer to average interaction intensities as measured in mutation-selection equilibrium. We derive a simple criterion for the strength of epistasis that is necessary to overcome the twofold disadvantage of sex.

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Year:  2001        PMID: 11333254      PMCID: PMC1461645     

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


  17 in total

1.  Age- and sex-distribution of the mutation load.

Authors:  T F Hansen; D K Price
Journal:  Genetica       Date:  1999       Impact factor: 1.082

2.  The mutational load with epistatic gene interactions in fitness.

Authors:  M Kimura; T Maruyama
Journal:  Genetics       Date:  1966-12       Impact factor: 4.562

3.  Our load of mutations.

Authors:  H J MULLER
Journal:  Am J Hum Genet       Date:  1950-06       Impact factor: 11.025

4.  Genetic measurement of theory of epistatic effects.

Authors:  G P Wagner; M D Laubichler; H Bagheri-Chaichian
Journal:  Genetica       Date:  1998       Impact factor: 1.082

5.  Test of synergistic interactions among deleterious mutations in bacteria.

Authors:  S F Elena; R E Lenski
Journal:  Nature       Date:  1997-11-27       Impact factor: 49.962

6.  An experimental test for synergistic epistasis and its application in Chlamydomonas.

Authors:  J A de Visser; R F Hoekstra; H van den Ende
Journal:  Genetics       Date:  1997-03       Impact factor: 4.562

7.  Epistasis in measured genotypes: Drosophila P-element insertions.

Authors:  A G Clark; L Wang
Journal:  Genetics       Date:  1997-09       Impact factor: 4.562

8.  Factors affecting the genetic load in Drosophila: synergistic epistasis and correlations among fitness components.

Authors:  M C Whitlock; D Bourguet
Journal:  Evolution       Date:  2000-10       Impact factor: 3.694

9.  Pleiotropic models of polygenic variation, stabilizing selection, and epistasis.

Authors:  S Gavrilets; G de Jong
Journal:  Genetics       Date:  1993-06       Impact factor: 4.562

10.  Deleterious mutations as an evolutionary factor. 1. The advantage of recombination.

Authors:  A S Kondrashov
Journal:  Genet Res       Date:  1984-10       Impact factor: 1.588

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  13 in total

1.  A unified model for functional and statistical epistasis and its application in quantitative trait Loci analysis.

Authors:  José M Alvarez-Castro; Orjan Carlborg
Journal:  Genetics       Date:  2007-04-03       Impact factor: 4.562

2.  Evolution can favor antagonistic epistasis.

Authors:  Michael M Desai; Daniel Weissman; Marcus W Feldman
Journal:  Genetics       Date:  2007-08-24       Impact factor: 4.562

3.  The evolution of epistasis and its links with genetic robustness, complexity and drift in a phenotypic model of adaptation.

Authors:  Pierre-Alexis Gros; Hervé Le Nagard; Olivier Tenaillon
Journal:  Genetics       Date:  2009-03-11       Impact factor: 4.562

4.  Directionality of epistasis in a murine intercross population.

Authors:  Mihaela Pavlicev; Arnaud Le Rouzic; James M Cheverud; Günter P Wagner; Thomas F Hansen
Journal:  Genetics       Date:  2010-06-01       Impact factor: 4.562

Review 5.  Mapping complex traits as a dynamic system.

Authors:  Lidan Sun; Rongling Wu
Journal:  Phys Life Rev       Date:  2015-02-20       Impact factor: 11.025

6.  A general model for multilocus epistatic interactions in case-control studies.

Authors:  Zhong Wang; Tian Liu; Zhenwu Lin; John Hegarty; Walter A Koltun; Rongling Wu
Journal:  PLoS One       Date:  2010-08-18       Impact factor: 3.240

7.  Genetic architecture of growth traits revealed by global epistatic interactions.

Authors:  Lin Xu; Huifeng Jiang; Hong Chen; Zhenglong Gu
Journal:  Genome Biol Evol       Date:  2011-08-22       Impact factor: 3.416

8.  Compensatory mutations cause excess of antagonistic epistasis in RNA secondary structure folding.

Authors:  Claus O Wilke; Richard E Lenski; Christoph Adami
Journal:  BMC Evol Biol       Date:  2003-02-05       Impact factor: 3.260

9.  An evolutionary perspective on epistasis and the missing heritability.

Authors:  Gibran Hemani; Sara Knott; Chris Haley
Journal:  PLoS Genet       Date:  2013-02-28       Impact factor: 5.917

10.  Hidden epistastic interactions can favour the evolution of sex and recombination.

Authors:  Joel R Peck; David Waxman; John J Welch
Journal:  PLoS One       Date:  2012-11-21       Impact factor: 3.240

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