De Novo Mutation Rate Variation and Its Determinants in Chlamydomonas

Author:

López-Cortegano Eugenio1ORCID,Craig Rory J1,Chebib Jobran1,Samuels Toby1,Morgan Andrew D1,Kraemer Susanne A2,Böndel Katharina B3ORCID,Ness Rob W4ORCID,Colegrave Nick1,Keightley Peter D1

Affiliation:

1. Institute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, United Kingdom

2. Department of Biology, Concordia University, Montreal, QC, Canada

3. Institute of Plant Breeding, Seed Science and Population Genetics, University of Hohenheim, Stuttgart, Germany

4. Department of Biology, University of Toronto Mississauga, Mississauga, ON, Canada

Abstract

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.

Funder

Edinburgh Compute and Data Facility

European Research Council

European Union’s Horizon 2020 research and innovation program

Publisher

Oxford University Press (OUP)

Subject

Genetics,Molecular Biology,Ecology, Evolution, Behavior and Systematics

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