2015
DOI: 10.1111/mec.13299
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Local interspecies introgression is the main cause of extreme levels of intraspecific differentiation in mussels

Abstract: Structured populations, and replicated zones of contact between species, are an ideal opportunity to study regions of the genome with unusual levels of differentiation; and these can illuminate the genomic architecture of species isolation, and the spread of adaptive alleles across species ranges. Here, we investigated the effects of gene flow on divergence and adaptation in the Mytilus complex of species, including replicated parental populations in quite distant geographical locations. We used target enrichm… Show more

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Cited by 99 publications
(248 citation statements)
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References 101 publications
(169 reference statements)
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“…2016a). To test for this, we genotyped 129 pure‐species individuals, and repeated our analyses with a subset of 33 markers that were strongly differentiated between the pure species (see Methods, Fig.…”
Section: Models and Resultsmentioning
confidence: 99%
“…2016a). To test for this, we genotyped 129 pure‐species individuals, and repeated our analyses with a subset of 33 markers that were strongly differentiated between the pure species (see Methods, Fig.…”
Section: Models and Resultsmentioning
confidence: 99%
“…2014), and targeted enrichment sequencing (Fraïsse et al. 2015). However, with declining costs of sequencing technology (Liu et al.…”
Section: Discussionmentioning
confidence: 99%
“…2011) and introgression (Fraïsse et al. 2015). Mytilus species are prone to produce hybrid in geographical areas where two sibling species coexist (Daguin et al.…”
Section: Discussionmentioning
confidence: 99%
“…This may cause rapid drift of some alleles at the expanding edge and high differentiation in allele frequencies over the landscape for some loci, even in the absence of selection. Another demographic process that can lead to idiosyncratic effects at individual loci is hybridization and introgression from related taxa (e.g., Geraldes et al 2014; Fraïsse et al 2016), which could confound genetic-environment associations and differentiation outlier methods focusedononespecies(Kane et al 2009; Nachman and Payseur 2012; Brandvain et al 2014; Bragg et al 2015). …”
Section: Mixed Signals: Confounding Effects Of Demography and Populatmentioning
confidence: 99%
“…Some of the issues in multiple comparisons, particularly that of nonindependence among linked SNPs, may be alleviated by using genome window-based methods (Kelly et al 2013; Amorim et al 2015; Wright et al 2015; Fraïsse et al 2016). These methods calculate summary statistics, such as F ST , across a set of adjacent markers for defined windows across the genome and can greatly improve results of outlier analyses.…”
Section: Other Statistical Challengesmentioning
confidence: 99%