De Novo Mutation Rate Variation and Its Determinants in Chlamydomonas

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 mu = 7.6 x 10(-10), and is highly variable between MA lines, ranging from mu = 0.35 x 10(-10) to mu = 131.7 x 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.

Automated summary

De novo mutations play a crucial role in evolution by providing genetic variation, but studying them is challenging and often limited to model species, leading to a restricted understanding of mutation rate evolution among closely related species. Through a mutation accumulation experiment and comparative analysis between Chlamydomonas incerta and Chlamydomonas reinhardtii, researchers found variability in the mutation rate and differing mutation spectra, indicating similarities in genomic factors influencing mutation rate but a greater divergence in mutation spectra between the two species.