Literature DB >> 33552532

Global adaptation complicates the interpretation of genome scans for local adaptation.

Tom R Booker1,2, Sam Yeaman3, Michael C Whitlock2,4.   

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 FST , 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 FST 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 FST 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 FST . 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 FST outliers that are presumed to arise from local adaptation may instead be due to global adaptation.
© 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).

Entities:  

Keywords:  FST outlier; genetics of adaptation; genome scans; global adaptation; local adaptation

Year:  2020        PMID: 33552532      PMCID: PMC7857299          DOI: 10.1002/evl3.208

Source DB:  PubMed          Journal:  Evol Lett        ISSN: 2056-3744


  57 in total

1.  Reliable Detection of Loci Responsible for Local Adaptation: Inference of a Null Model through Trimming the Distribution of F(ST).

Authors:  Michael C Whitlock; Katie E Lotterhos
Journal:  Am Nat       Date:  2015-09-15       Impact factor: 3.926

2.  Measures of divergence between populations and the effect of forces that reduce variability.

Authors:  B Charlesworth
Journal:  Mol Biol Evol       Date:  1998-05       Impact factor: 16.240

3.  Background selection and FST : Consequences for detecting local adaptation.

Authors:  Remi Matthey-Doret; Michael C Whitlock
Journal:  Mol Ecol       Date:  2019-09-03       Impact factor: 6.185

4.  The barrier to genetic exchange between hybridising populations.

Authors:  N Barton; B O Bengtsson
Journal:  Heredity (Edinb)       Date:  1986-12       Impact factor: 3.821

5.  Distribution of gene frequency as a test of the theory of the selective neutrality of polymorphisms.

Authors:  R C Lewontin; J Krakauer
Journal:  Genetics       Date:  1973-05       Impact factor: 4.562

6.  Population genomics: whole-genome analysis of polymorphism and divergence in Drosophila simulans.

Authors:  David J Begun; Alisha K Holloway; Kristian Stevens; Ladeana W Hillier; Yu-Ping Poh; Matthew W Hahn; Phillip M Nista; Corbin D Jones; Andrew D Kern; Colin N Dewey; Lior Pachter; Eugene Myers; Charles H Langley
Journal:  PLoS Biol       Date:  2007-11-06       Impact factor: 8.029

Review 7.  Finding the Genomic Basis of Local Adaptation: Pitfalls, Practical Solutions, and Future Directions.

Authors:  Sean Hoban; Joanna L Kelley; Katie E Lotterhos; Michael F Antolin; Gideon Bradburd; David B Lowry; Mary L Poss; Laura K Reed; Andrew Storfer; Michael C Whitlock
Journal:  Am Nat       Date:  2016-08-15       Impact factor: 3.926

Review 8.  Fifteen years of genomewide scans for selection: trends, lessons and unaddressed genetic sources of complication.

Authors:  Ryan J Haasl; Bret A Payseur
Journal:  Mol Ecol       Date:  2015-09-16       Impact factor: 6.185

9.  VolcanoFinder: Genomic scans for adaptive introgression.

Authors:  Derek Setter; Sylvain Mousset; Xiaoheng Cheng; Rasmus Nielsen; Michael DeGiorgio; Joachim Hermisson
Journal:  PLoS Genet       Date:  2020-06-18       Impact factor: 6.020

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Authors:  Jim Thurmond; Joshua L Goodman; Victor B Strelets; Helen Attrill; L Sian Gramates; Steven J Marygold; Beverley B Matthews; Gillian Millburn; Giulia Antonazzo; Vitor Trovisco; Thomas C Kaufman; Brian R Calvi
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

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Authors:  Xiaoshen Yin; Alexander S Martinez; Maria S Sepúlveda; Mark R Christie
Journal:  BMC Genomics       Date:  2021-04-14       Impact factor: 3.969

3.  Evolution of polygenic traits under global vs local adaptation.

Authors:  Sam Yeaman
Journal:  Genetics       Date:  2022-01-04       Impact factor: 4.562

4.  Genomic architecture of phenotypic extremes in a wild cervid.

Authors:  S J Anderson; S D Côté; J H Richard; A B A Shafer
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5.  The evolutionary pathways for local adaptation in mountain hares.

Authors:  Iwona Giska; João Pimenta; Liliana Farelo; Pierre Boursot; Klaus Hackländer; Hannes Jenny; Neil Reid; W Ian Montgomery; Paulo A Prodöhl; Paulo C Alves; José Melo-Ferreira
Journal:  Mol Ecol       Date:  2022-01-17       Impact factor: 6.622

6.  Repeated genetic adaptation to altitude in two tropical butterflies.

Authors:  Simon H Martin; Chris D Jiggins; Gabriela Montejo-Kovacevich; Joana I Meier; Caroline N Bacquet; Ian A Warren; Yingguang Frank Chan; Marek Kucka; Camilo Salazar; Nicol Rueda-M; Stephen H Montgomery; W Owen McMillan; Krzysztof M Kozak; Nicola J Nadeau
Journal:  Nat Commun       Date:  2022-08-09       Impact factor: 17.694

7.  A polygenic architecture with habitat-dependent effects underlies ecological differentiation in Silene.

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  7 in total

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