Molecular Biology and EvolutionGenomicsPeer-reviewed journal article
Intraspecific Variation in Microsatellite Mutation Profiles in Daphnia magna
Eddie K. H. HoiD, Fenner Macrae, Leigh C. LattaiD, Maia J. Benner, Cheng SuniD, Dieter EbertiD, Sarah SchaackiD
Abstract
Microsatellite loci (tandem repeats of short nucleotide motifs) are highly abundant in eukaryotic genomes and are often used as genetic markers because they can exhibit variation both within and between populations. Although widely recognized for their mutability and utility, the mutation rates of microsatellites have only been empirically estimated in a few species and have rarely been compared across genotypes and populations and intraspecific differences in overall microsatellite content have rarely been explored. To investigate the accumulation of microsatellite DNA over long-and short-time periods, we quantified the abundance and genome-wide mutation rates in whole-genome sequences of 47 mutation accumulation (MA) lines and 12 non-MA lines derived from six different genotypes of the crustacean Daphnia magna collected from three populations (Finland, Germany, and Israel). Each genotype possessed a distinctive microsatellite profile and clustered according to their population of origin. During the period of mutation accumulation, we observed very high microsatellite mutation rates (a net change of -0.19 to 0.33 per copy per generation), which surpass rates reported from a closely-related congener, D. pulex, by an order of magnitude. Rates vary between microsatellite motifs and among genotypes, with those starting with high microsatellite content exhibiting greater losses and those with low microsatellite content exhibiting greater gains. Our results show that microsatellite mutation rates depend both on characteristics of the microsatellites and the genomic background. These context-dependent mutation dynamics may, in conjunction with other evolutionary forces that may differ among populations, explain the differential accumulation of repeat content in the genome over long time periods.
- organism: Drosophila
- assay: whole-genome sequencing
- research focus: genome assembly
- research focus: variant calling
- research focus: differential expression
- approach: statistical model
- Citations
- 17
- FWCI
- 1.65
- Field percentile
- top 17%
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