Abstract

De novo mutations are central for evolution, since they provide the raw material for natural selection by regenerating genetic variation. However, studying de novo mutations is challenging and is generally restricted to model species, so we have a limited understanding of the evolution of the mutation rate and spectrum between closely related species. Here, we present a mutation accumulation (MA) experiment to study de novo mutation in the unicellular green alga Chlamydomonas incerta and perform comparative analyses with its closest known relative, Chlamydomonas reinhardtii. Using whole-genome sequencing data, we estimate that the median single nucleotide mutation (SNM) rate in C. incerta is μ = 7.6 × 10−10, and is highly variable between MA lines, ranging from μ = 0.35 × 10−10 to μ = 131.7 × 10−10. The SNM rate is strongly positively correlated with the mutation rate for insertions and deletions between lines (r > 0.97). We infer that the genomic factors associated with variation in the mutation rate are similar to those in C. reinhardtii, allowing for cross-prediction between species. Among these genomic factors, sequence context and complexity are more important than GC content. With the exception of a remarkably high C→T bias, the SNM spectrum differs markedly between the two Chlamydomonas species. Our results suggest that similar genomic and biological characteristics may result in a similar mutation rate in the two species, whereas the SNM spectrum has more freedom to diverge.

Highlights

  • Mutation plays a key role in evolution, since it generates genetic variation, providing the raw material for selection and adaptation

  • We have conducted a comparative study of mutability in Chlamydomonas green algae using whole-genome sequencing (WGS) data from an mutation accumulation (MA) experiment in C. incerta and from an experiment previously carried out in C. reinhardtii (Ness et al 2015)

  • Given their relatively large genomes (111–129 Mb) and their short generation intervals, these unicellular species represent excellent models for investigating the nature of de novo mutations, since large numbers of mutations can be accumulated in a short time ($0.097 single nucleotide mutation (SNM) per line per generation), allowing the factors associated with the properties of new mutations to be investigated

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Summary

Introduction

Mutation plays a key role in evolution, since it generates genetic variation, providing the raw material for selection and adaptation. New mutational variance and heritability are important for determining the long-term response to selection (Walsh 2004; Mulder et al 2019), and the evolutionary potential of populations. Since mutation underlies genetic differentiation between lineages, it influences evolutionary divergence rates (Keightley 2012). When new mutations have direct effects on phenotypes, fitness and health, they have a major impact in applied fields, such as conservation biology and medicine (Charlesworth 2018; Zhang and Vijg 2018). A better understanding of the rate of mutation and the distribution of mutational effects is one of the key goals in evolutionary biology (Eyre-Walker and Keightley 2007)

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