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      Global adaptation complicates the interpretation of genome scans for local adaptation

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          Abstract

          Spatially varying selection promotes variance in allele frequencies, increasing genetic differentiation between the demes of a metapopulation. For that reason, outliers in the genome‐wide distribution of summary statistics measuring genetic differentiation, such as F ST , are often interpreted as evidence for alleles that contribute to local adaptation. However, theoretical studies have shown that in spatially structured populations the spread of beneficial mutations with spatially uniform fitness effects can also induce transient genetic differentiation. In recent years, numerous empirical studies have suggested that such species‐wide, or global, adaptation makes a substantial contribution to molecular evolution. In this perspective, we discuss how commonly such global adaptation may influence the genome‐wide distribution of F ST and generate genetic differentiation patterns, which could be mistaken for local adaptation. To illustrate this, we use forward‐in‐time population genetic simulations assuming parameters for the rate and strength of beneficial mutations consistent with estimates from natural populations. We demonstrate that the spread of globally beneficial mutations in parapatric populations may frequently generate F ST outliers, which could be misinterpreted as evidence for local adaptation. The spread of beneficial mutations causes selective sweeps at flanking sites, so in some cases, the effects of global versus local adaptation may be distinguished by examining patterns of nucleotide diversity within and between populations in addition to F ST . However, when local adaptation has been only recently established, it may be much more difficult to distinguish from global adaptation, due to less accumulation of linkage disequilibrium at flanking sites. Through our discussion, we conclude that a large fraction of F ST outliers that are presumed to arise from local adaptation may instead be due to global adaptation.

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          ESTIMATING F-STATISTICS FOR THE ANALYSIS OF POPULATION STRUCTURE.

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            A genome-scan method to identify selected loci appropriate for both dominant and codominant markers: a Bayesian perspective.

            Identifying loci under natural selection from genomic surveys is of great interest in different research areas. Commonly used methods to separate neutral effects from adaptive effects are based on locus-specific population differentiation coefficients to identify outliers. Here we extend such an approach to estimate directly the probability that each locus is subject to selection using a Bayesian method. We also extend it to allow the use of dominant markers like AFLPs. It has been shown that this model is robust to complex demographic scenarios for neutral genetic differentiation. Here we show that the inclusion of isolated populations that underwent a strong bottleneck can lead to a high rate of false positives. Nevertheless, we demonstrate that it is possible to avoid them by carefully choosing the populations that should be included in the analysis. We analyze two previously published data sets: a human data set of codominant markers and a Littorina saxatilis data set of dominant markers. We also perform a detailed sensitivity study to compare the power of the method using amplified fragment length polymorphism (AFLP), SNP, and microsatellite markers. The method has been implemented in a new software available at our website (http://www-leca.ujf-grenoble.fr/logiciels.htm).
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              Conceptual issues in local adaptation

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                Author and article information

                Contributors
                booker@zoology.ubc.ca
                Journal
                Evol Lett
                Evol Lett
                10.1002/(ISSN)2056-3744
                EVL3
                Evolution Letters
                John Wiley and Sons Inc. (Hoboken )
                2056-3744
                15 December 2020
                February 2021
                : 5
                : 1 ( doiID: 10.1002/evl3.v5.1 )
                : 4-15
                Affiliations
                [ 1 ] Department of Forest and Conservation Sciences University of British Columbia Vancouver Canada
                [ 2 ] Biodiversity Research Centre University of British Columbia Vancouver Canada
                [ 3 ] Department of Biological Sciences University of Calgary Calgary Canada
                [ 4 ] Department of Zoology University of British Columbia Vancouver Canada
                Author notes
                Author information
                https://orcid.org/0000-0001-8403-6219
                https://orcid.org/0000-0002-1706-8699
                https://orcid.org/0000-0002-0782-1843
                Article
                EVL3208
                10.1002/evl3.208
                7857299
                33552532
                800592de-1e35-46d9-9bcc-c809f2b48aed
                © 2020 The Authors. Evolution Letters published by Wiley Periodicals, LLC on behalf of Society for the Study of Evolution (SSE) and European Society for Evolutionary Biology (ESEB).

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 20 August 2019
                : 27 October 2020
                : 12 November 2020
                Page count
                Figures: 3, Tables: 0, Pages: 12, Words: 8951
                Categories
                Comment and Opinion
                Comments and Opinions
                Custom metadata
                2.0
                February 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.9.7 mode:remove_FC converted:03.02.2021

                fst outlier,genetics of adaptation,genome scans,global adaptation,local adaptation

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