2023
DOI: 10.1111/mec.16913
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Geography, environment, and colonization history interact with morph type to shape genomic variation in an Arctic fish

Abstract: Polymorphic species are useful models for investigating the evolutionary processes driving diversification. Such processes include colonization history as well as contemporary selection, gene flow, and genetic drift, which can vary between intraspecific morphs as a function of their distinct life histories. The interactive and relative influence of such evolutionary processes on morph differentiation critically informs morph‐specific management decisions and our understanding of incipient speciation. We theref… Show more

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Cited by 7 publications
(4 citation statements)
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“…In addition, genotype–environmental association (GEA) analyses have been successfully conducted in salmonid fishes, including Salvelinus , as an alternative way to generate hypotheses about how inter‐locality environmental differences may shape adaptive genomic variation (e.g. Micheletti et al., 2018; Salisbury et al., 2023). Such GEA analyses could be a fruitful way to test the idea that loci associated with excess NDV ancestry at specific locations in the Chignik Lake watershed are associated with particular environmental features, but the relatively small scale of the watershed may limit the power to detect such associations.…”
Section: Discussionmentioning
confidence: 99%
“…In addition, genotype–environmental association (GEA) analyses have been successfully conducted in salmonid fishes, including Salvelinus , as an alternative way to generate hypotheses about how inter‐locality environmental differences may shape adaptive genomic variation (e.g. Micheletti et al., 2018; Salisbury et al., 2023). Such GEA analyses could be a fruitful way to test the idea that loci associated with excess NDV ancestry at specific locations in the Chignik Lake watershed are associated with particular environmental features, but the relatively small scale of the watershed may limit the power to detect such associations.…”
Section: Discussionmentioning
confidence: 99%
“…In addition, we performed RDA with a partial model accounting for population structure, and with a "full" model not accounting for it. These two models detected very different SNPs (Figure S5), which likely reflects that the partial model prevented the detection of many potentially adaptive environmental/climate-associated SNPs identified by the other analyses, especially on Chr 9, because of their strong association with population structure (Forester et al, 2018;Salisbury et al, 2023). Thus, we also consider the results of the full RDA model relevant (see Forester et al, 2018).…”
Section: Genomic Signatures Of Local Adaptationmentioning
confidence: 97%
“…We identified candidate SNPs ("pRDA candidates" from the pRDA and "full RDA candidates" from the full RDA) by using a relatively liberal cut-off of loadings > 3 SD from the mean distribution of each of the two RDA axes (as in e.g. Forester et al, 2018;Salisbury et al, 2023) in each RDA, corresponding to a two-tailed p-value threshold of 0.0027. Furthermore, we used variance partitioning in partial RDA to gain estimates of the contributions of defined sets of variables on the total observed genetic variation in the dataset (Table S4), i.e.…”
Section: Multivariate Geamentioning
confidence: 99%
“…Genomic evaluations now permit the impacts of isolation and post-glacial recolonization to be quantified genome-wide and have revealed signatures of glacial isolation as well as evidence of post glacial secondary contact and introgression among lineages (e.g., Souissi et al 2018;Lehnert et al 2019;Salisbury et al 2023). These studies support the hypothesis that Pleistocene glaciations have been a significant determinant of contemporary diversity in northern marine species, which is likely to influence population and species response to climate change in the coming decades (e.g., Luqman et al 2023).…”
Section: Introductionmentioning
confidence: 99%