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Inferring the distribution of fitness effects of spontaneous mutations in Chlamydomonas reinhardtii

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Listed:
  • Katharina B Böndel
  • Susanne A Kraemer
  • Toby Samuels
  • Deirdre McClean
  • Josianne Lachapelle
  • Rob W Ness
  • Nick Colegrave
  • Peter D Keightley

Abstract

Spontaneous mutations are the source of new genetic variation and are thus central to the evolutionary process. In molecular evolution and quantitative genetics, the nature of genetic variation depends critically on the distribution of effects of mutations on fitness and other quantitative traits. Spontaneous mutation accumulation (MA) experiments have been the principal approach for investigating the overall rate of occurrence and cumulative effect of mutations but have not allowed the phenotypic effects of individual mutations to be studied directly. Here, we crossed MA lines of the green alga Chlamydomonas reinhardtii with its unmutated ancestral strain to create haploid recombinant lines, each carrying an average of 50% of the accumulated mutations in a large number of combinations. With the aid of the genome sequences of the MA lines, we inferred the genotypes of the mutations, assayed their growth rate as a measure of fitness, and inferred the distribution of fitness effects (DFE) using a Bayesian mixture model. We infer that the DFE is highly leptokurtic (L-shaped). Of mutations with absolute fitness effects exceeding 1%, about one-sixth increase fitness in the laboratory environment. The inferred distribution of effects for deleterious mutations is consistent with a strong role for nearly neutral evolution. Specifically, such a distribution predicts that nucleotide variation and genetic variation for quantitative traits will be insensitive to change in the effective population size.Recombinant lines of the green alga Chlamydomonas reinhardtii containing combinations of spontaneously accumulated mutations allowed researchers to infer the distribution of effects of individual mutations on fitness from the genotypic plus phenotypic data.

Suggested Citation

  • Katharina B Böndel & Susanne A Kraemer & Toby Samuels & Deirdre McClean & Josianne Lachapelle & Rob W Ness & Nick Colegrave & Peter D Keightley, 2019. "Inferring the distribution of fitness effects of spontaneous mutations in Chlamydomonas reinhardtii," PLOS Biology, Public Library of Science, vol. 17(6), pages 1-24, June.
  • Handle: RePEc:plo:pbio00:3000192
    DOI: 10.1371/journal.pbio.3000192
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    References listed on IDEAS

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    1. Bates, Douglas & Mächler, Martin & Bolker, Ben & Walker, Steve, 2015. "Fitting Linear Mixed-Effects Models Using lme4," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 67(i01).
    2. Gerhard Moser & Sang Hong Lee & Ben J Hayes & Michael E Goddard & Naomi R Wray & Peter M Visscher, 2015. "Simultaneous Discovery, Estimation and Prediction Analysis of Complex Traits Using a Bayesian Mixture Model," PLOS Genetics, Public Library of Science, vol. 11(4), pages 1-22, April.
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