Literature DB >> 9584115

Testing for epistasis between deleterious mutations.

S A West1, A D Peters, N H Barton.   

Abstract

Determining the way in which deleterious mutations interact in their effects on fitness is crucial to numerous areas in population genetics and evolutionary biology. For example, if each additional mutation leads to a greater decrease in log fitness than the last (synergistic epistasis), then the evolution of sex and recombination may be favored to facilitate the elimination of deleterious mutations. However, there is a severe shortage of relevant data. Three relatively simple experimental methods to test for epistasis between deleterious mutations in haploid species have recently been proposed. These methods involve crossing individuals and examining the mean and/or skew in log fitness of the offspring and parents. The main aim of this paper is to formalize these methods, and determine the most effective way in which tests for epistasis could be carried out. We show that only one of these methods is likely to give useful results: crossing individuals that have very different numbers of deleterious mutations, and comparing the mean log fitness of the parents with that of their offspring. We also reconsider experimental data collected on Chlamydomonas moewussi using two of the three methods. Finally, we suggest how the test could be applied to diploid species.

Mesh:

Year:  1998        PMID: 9584115      PMCID: PMC1460116     

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


  16 in total

1.  Mutation-selection balance and the evolutionary advantage of sex and recombination.

Authors:  B Charlesworth
Journal:  Genet Res       Date:  1990-06       Impact factor: 1.588

2.  EMS-induced polygenic mutation rates for nine quantitative characters in Drosophila melanogaster.

Authors:  P D Keightley; O Ohnishi
Journal:  Genetics       Date:  1998-02       Impact factor: 4.562

3.  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

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Authors:  T Mukai; S I Chigusa; L E Mettler; J F Crow
Journal:  Genetics       Date:  1972-10       Impact factor: 4.562

5.  Classification of hypotheses on the advantage of amphimixis.

Authors:  A S Kondrashov
Journal:  J Hered       Date:  1993 Sep-Oct       Impact factor: 2.645

6.  Genotype-environment interactions and the estimation of the genomic mutation rate in Drosophila melanogaster.

Authors:  A S Kondrashov; D Houle
Journal:  Proc Biol Sci       Date:  1994-12-22       Impact factor: 5.349

7.  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

8.  Selection against harmful mutations in large sexual and asexual populations.

Authors:  A S Kondrashov
Journal:  Genet Res       Date:  1982-12       Impact factor: 1.588

9.  Estimate of the genomic mutation rate deleterious to overall fitness in E. coli.

Authors:  T T Kibota; M Lynch
Journal:  Nature       Date:  1996-06-20       Impact factor: 49.962

10.  The distribution of mutation effects on viability in Drosophila melanogaster.

Authors:  P D Keightley
Journal:  Genetics       Date:  1994-12       Impact factor: 4.562

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  17 in total

1.  Parasites and mutational load: an experimental test of a pluralistic theory for the evolution of sex.

Authors:  Tim F Cooper; Richard E Lenski; Santiago F Elena
Journal:  Proc Biol Sci       Date:  2005-02-07       Impact factor: 5.349

2.  Evolution of recombination due to random drift.

Authors:  N H Barton; Sarah P Otto
Journal:  Genetics       Date:  2005-01-31       Impact factor: 4.562

3.  The loss of adaptive plasticity during long periods of environmental stasis.

Authors:  Joanna Masel; Oliver D King; Heather Maughan
Journal:  Am Nat       Date:  2006-11-28       Impact factor: 3.926

4.  Joint evolution of dispersal and inbreeding load.

Authors:  Frédéric Guillaume; Nicolas Perrin
Journal:  Genetics       Date:  2006-03-01       Impact factor: 4.562

5.  Effect of varying epistasis on the evolution of recombination.

Authors:  Roger D Kouyos; Sarah P Otto; Sebastian Bonhoeffer
Journal:  Genetics       Date:  2006-03-17       Impact factor: 4.562

6.  Evolution can favor antagonistic epistasis.

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

7.  The distribution of epistasis on simple fitness landscapes.

Authors:  Christelle Fraïsse; John J Welch
Journal:  Biol Lett       Date:  2019-04-26       Impact factor: 3.703

8.  A test for epistasis among induced mutations in Caenorhabditis elegans.

Authors:  A D Peters; P D Keightley
Journal:  Genetics       Date:  2000-12       Impact factor: 4.562

9.  Unpredictable fitness transitions between haploid and diploid strains of the genetically loaded yeast Saccharomyces cerevisiae.

Authors:  R Korona
Journal:  Genetics       Date:  1999-01       Impact factor: 4.562

10.  Predicting the evolution of sex on complex fitness landscapes.

Authors:  Dusan Misevic; Roger D Kouyos; Sebastian Bonhoeffer
Journal:  PLoS Comput Biol       Date:  2009-09-18       Impact factor: 4.475

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