Literature DB >> 9055090

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

J A de Visser1, R F Hoekstra, H van den Ende.   

Abstract

Theoretically, one of the most general benefits of sex is given by its function in facilitating selection against deleterious mutations. This advantage of sex may be deterministic if deleterious mutations affect the fitness of an individual in a synergistic way, i.e., if mutations increase each others' negative fitness effect. We present a new test for synergistic epistasis that considers the skewness of the log fitness distribution of offspring from a cross. We applied this test to data of the unicellular alga Chlamydomonas moewussii. For this purpose, two crosses were made: one between two strains that are presumed to have accumulated slightly deleterious mutations, the other between two strains without a history of mutation accumulation. Fitness was measured by estimating the two parameters of logistic growth in batch culture, the maximum growth rate (r) and the carrying capacity (K). The finding of a negatively skewed distribution for K in the accumulation cross suggests synergism between mutations affecting the carrying capacity, while the absence of skewness for tau in both crosses is consistent with independent effects of mutations affecting this parameter. The results suggest a possible alternative explanation for the general observation that sex is related to constant environments, where selection on K predominates, while asexual reproduction is found in more variable environments, where selection on r is more important.

Mesh:

Year:  1997        PMID: 9055090      PMCID: PMC1207865     

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


  7 in total

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Authors:  A S Kondrashov
Journal:  Nature       Date:  1988-12-01       Impact factor: 49.962

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

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

  7 in total
  27 in total

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

Authors:  T F Hansen; G P Wagner
Journal:  Genetics       Date:  2001-05       Impact factor: 4.562

2.  Self-fertilization and the evolution of recombination.

Authors:  Denis Roze; Thomas Lenormand
Journal:  Genetics       Date:  2005-03-21       Impact factor: 4.562

3.  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

4.  Epistasis for fitness-related quantitative traits in Arabidopsis thaliana grown in the field and in the greenhouse.

Authors:  Russell L Malmberg; Stephanie Held; Ashleigh Waits; Rodney Mauricio
Journal:  Genetics       Date:  2005-09-12       Impact factor: 4.562

5.  Effects of random mutations in the human immunodeficiency virus type 1 transcriptional promoter on viral fitness in different host cell environments.

Authors:  Tim van Opijnen; Maarten C Boerlijst; Ben Berkhout
Journal:  J Virol       Date:  2006-07       Impact factor: 5.103

6.  The Hill-Robertson effect and the evolution of recombination.

Authors:  Denis Roze; Nick H Barton
Journal:  Genetics       Date:  2006-05-15       Impact factor: 4.562

7.  Epistasis correlates to genomic complexity.

Authors:  Rafael Sanjuán; Santiago F Elena
Journal:  Proc Natl Acad Sci U S A       Date:  2006-09-18       Impact factor: 11.205

8.  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

9.  Evolution can favor antagonistic epistasis.

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

10.  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

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