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Genomic release-recapture experiment in the wild reveals within-generation polygenic selection in stickleback fish.

Telma G LaurentinoDario MoserMarius RoestiMatthias AmmannAnja FreyFabrizia RoncoBenjamin KuengDaniel Berner
Published in: Nature communications (2020)
How rapidly natural selection sorts genome-wide standing genetic variation during adaptation remains largely unstudied experimentally. Here, we present a genomic release-recapture experiment using paired threespine stickleback fish populations adapted to selectively different lake and stream habitats. First, we use pooled whole-genome sequence data from the original populations to identify hundreds of candidate genome regions likely under divergent selection between these habitats. Next, we generate F2 hybrids from the same lake-stream population pair in the laboratory and release thousands of juveniles into a natural stream habitat. Comparing the individuals surviving one year of stream selection to a reference sample of F2 hybrids allows us to detect frequency shifts across the candidate regions toward the genetic variants typical of the stream population-an experimental outcome consistent with polygenic directional selection. Our study reveals that adaptation in nature can be detected as a genome-wide signal over just a single generation.
Keyphrases
  • genome wide
  • dna methylation
  • copy number
  • gene expression
  • machine learning
  • clinical trial
  • genetic diversity
  • deep learning
  • study protocol
  • double blind