Molecular Biology and EvolutionGeneticsPeer-reviewed journal article
The genetic architecture of recombination rates is polygenic and differs between the sexes in wild house sparrows (Passer domesticus).
John B McAuleyiD, Bertrand ServiniD, Hamish A. BurnettiD, Cathrine BrekkeiD, Lucy PetersiD, Ingerid J. HageniD, Alina K. NiskaneniD, Thor Harald RingsbyiD, Arild HusbyiD, Henrik JenseniD, Susan E. JohnstoniD
Abstract
Meiotic recombination through chromosomal crossing-over is a fundamental feature of sex and an important driver of genomic diversity. It ensures proper disjunction, allows increased selection responses, and prevents mutation accumulation; however, it is also mutagenic and can break up favourable haplotypes. This cost/benefit dynamic is likely to vary depending on mechanistic and evolutionary contexts, and indeed, recombination rates show huge variation in nature. Identifying the genetic architecture of this variation is key to understanding its causes and consequences. Here, we investigate individual recombination rate variation in wild house sparrows (Passer domesticus). We integrate genomic and pedigree data to identify autosomal crossover counts (ACC) and intra-chromosomal allelic shuffling ([r]intra) in 13,056 gametes. Females had 1.37 times higher ACC, and 1.55 times higher[r] intra than males. ACC and[r] intra were heritable in females and males (ACC h2 = 0.23 and 0.11;[r] intra h2 = 0.12 and 0.14), but cross-sex additive genetic correlations were low (rA = 0.29 and 0.32 for ACC and[r] intra). Conditional bivariate analyses showed that all measures remained heritable after accounting for genetic values in the opposite sex, indicating that sex-specific ACC and[r] intra can evolve somewhat independently. Genome-wide models showed that ACC and[r] intra are polygenic and driven by many small-effect loci, many of which are likely to act in trans as global recombination modifiers. Our findings show that recombination rates of females and males can have different evolutionary potential in wild birds, providing a compelling mechanism for the evolution of sexual dimorphism in recombination.
- organism: non-human primate
- assay: whole-genome sequencing
- research focus: variant effect prediction
- approach: statistical model
- Citations
- 19
- FWCI
- 4.50
- Field percentile
- top 4%
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