期刊
MOLECULAR BIOLOGY AND EVOLUTION
卷 37, 期 11, 页码 3258-3266出版社
OXFORD UNIV PRESS
DOI: 10.1093/molbev/msaa142
关键词
base substitution; gene conversion; heterozygosity; mutation spectrum; evolution; mutation accumulation; Cladocera; Crustacea
资金
- Institutional Development Award (IDeA) from the National Institute of General Medical Sciences of the National Institutes of Health [P20GM103408]
- Swiss National Science Foundation
- National Science Foundation [MCB-1150213]
- National Institute of Health [1R15GM132861-01]
The rate and spectrum of spontaneous mutations are critical parameters in basic and applied biology because they dictate the pace and character of genetic variation introduced into populations, which is a prerequisite for evolution. We use a mutation-accumulation approach to estimate mutation parameters from whole-genome sequence data from multiple genotypes from multiple populations of Daphnia magna, an ecological and evolutionary model system. We report extremely high base substitution mutation rates ((mu) over bar (n,bs) = 8.96 x 10(-9)/bp/generation [95% CI: 6.66-11.97 x 10(-9)/bp/generation] in the nuclear genome and (mu) over bar (m,bs) = 8.7 x 10(-7)/bp/generation [95% CI: 4.40-15.12 x 10(-7)/bp/ generation] in the mtDNA), the highest of any eukaryote examined using this approach. Levels of intraspecific variation based on the range of estimates from the nine genotypes collected from three populations (Finland, Germany, and Israel) span 1 and 3 orders of magnitude, respectively, resulting in up to a similar to 300-fold difference in rates among genomic partitions within the same lineage. In contrast, mutation spectra exhibit very consistent patterns across genotypes and populations, suggesting the mechanisms underlying the mutational process may be similar, even when the rates at which they occur differ. We discuss the implications of high levels of intraspecific variation in rates, the importance of estimating gene conversion rates using a mutation-accumulation approach, and the interacting factors influencing the evolution of mutation parameters. Our findings deepen our knowledge about mutation and provide both challenges to and support for current theories aimed at explaining the evolution of the mutation rate, as a trait, across taxa.
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