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Genetic Signatures of Evolutionary Rescue by a Selective Sweep
Author(s) -
Matthew M. Osmond,
Graham Coop
Publication year - 2020
Publication title -
genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.792
H-Index - 246
eISSN - 1943-2631
pISSN - 0016-6731
DOI - 10.1534/genetics.120.303173
Subject(s) - selective sweep , biology , population bottleneck , selection (genetic algorithm) , evolutionary biology , population , bottleneck , adaptation (eye) , effective population size , population size , population genomics , range (aeronautics) , genetic drift , background selection , population genetics , genetic diversity , genetic variation , genetics , allele , genome , demography , genomics , gene , computer science , artificial intelligence , haplotype , materials science , composite material , neuroscience , sociology , microsatellite , embedded system
Inferring selective sweeps from genetic data has been a breakthrough in population genetics. The most prominent examples come from populations suddenly exposed to extreme stressors, such as insecticides... One of the most useful models in population genetics is that of a selective sweep and the consequent hitch-hiking of linked neutral alleles. While variations on this model typically assume constant population size, many instances of strong selection and rapid adaptation in nature may co-occur with complex demography. Here, we extend the hitch-hiking model to evolutionary rescue, where adaptation and demography not only co-occur but are intimately entwined. Our results show how this feedback between demography and evolution determines—and restricts—the genetic signatures of evolutionary rescue, and how these differ from the signatures of sweeps in populations of constant size. In particular, we find rescue to harden sweeps from standing variance or new mutation (but not from migration), reduce genetic diversity both at the selected site and genome-wide, and increase the range of observed Tajima’s D values. For a given initial rate of population decline, the feedback between demography and evolution makes all of these differences more dramatic under weaker selection, where bottlenecks are prolonged. Nevertheless, it is likely difficult to infer the co-incident timing of the sweep and bottleneck from these simple signatures, never mind a feedback between them. Temporal samples spanning contemporary rescue events may offer one way forward.

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