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      The genomic basis of adaptation to calcareous and siliceous soils inArabidopsis lyrata

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          The genomic basis of adaptive evolution in threespine sticklebacks

          Summary Marine stickleback fish have colonized and adapted to innumerable streams and lakes formed since the last ice age, providing an exceptional opportunity to characterize genomic mechanisms underlying repeated ecological adaptation in nature. Here we develop a high quality reference genome assembly for threespine sticklebacks. By sequencing the genomes of 20 additional individuals from a global set of marine and freshwater populations, we identify a genome-wide set of loci that are consistently associated with marine-freshwater divergence. Our results suggest that reuse of globally-shared standing genetic variation, including chromosomal inversions, plays an important role in repeated evolution of distinct marine and freshwater sticklebacks, and in the maintenance of divergent ecotypes during early stages of reproductive isolation. Both coding and regulatory changes occur in the set of loci underlying marine-freshwater evolution, with regulatory changes likely predominating in this classic example of repeated adaptive evolution in nature.
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            Widespread parallel evolution in sticklebacks by repeated fixation of Ectodysplasin alleles.

            Major phenotypic changes evolve in parallel in nature by molecular mechanisms that are largely unknown. Here, we use positional cloning methods to identify the major chromosome locus controlling armor plate patterning in wild threespine sticklebacks. Mapping, sequencing, and transgenic studies show that the Ectodysplasin (EDA) signaling pathway plays a key role in evolutionary change in natural populations and that parallel evolution of stickleback low-plated phenotypes at most freshwater locations around the world has occurred by repeated selection of Eda alleles derived from an ancestral low-plated haplotype that first appeared more than two million years ago. Members of this clade of low-plated alleles are present at low frequencies in marine fish, which suggests that standing genetic variation can provide a molecular basis for rapid, parallel evolution of dramatic phenotypic change in nature.
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              Soft sweeps: molecular population genetics of adaptation from standing genetic variation.

              A population can adapt to a rapid environmental change or habitat expansion in two ways. It may adapt either through new beneficial mutations that subsequently sweep through the population or by using alleles from the standing genetic variation. We use diffusion theory to calculate the probabilities for selective adaptations and find a large increase in the fixation probability for weak substitutions, if alleles originate from the standing genetic variation. We then determine the parameter regions where each scenario-standing variation vs. new mutations-is more likely. Adaptations from the standing genetic variation are favored if either the selective advantage is weak or the selection coefficient and the mutation rate are both high. Finally, we analyze the probability of "soft sweeps," where multiple copies of the selected allele contribute to a substitution, and discuss the consequences for the footprint of selection on linked neutral variation. We find that soft sweeps with weaker selective footprints are likely under both scenarios if the mutation rate and/or the selection coefficient is high.
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                Author and article information

                Journal
                Molecular Ecology
                Mol Ecol
                Wiley
                0962-1083
                1365-294X
                December 10 2018
                December 10 2018
                Affiliations
                [1 ]Institute of Integrative BiologyETH Zurich Zurich Switzerland
                [2 ]Institute of Biogeochemistry and Pollutant Dynamics ETH Zurich Zurich Switzerland
                [3 ]Centre for Organismal Studies Heidelberg Heidelberg University Heidelberg Germany
                Article
                10.1111/mec.14930
                30411828
                04a68460-2b5d-4992-bfe5-b5a315fd3298
                © 2018

                http://doi.wiley.com/10.1002/tdm_license_1.1

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