2017
DOI: 10.1111/mec.14361
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Do genetic drift and accumulation of deleterious mutations preclude adaptation? Empirical investigation using RADseq in a northern lacustrine fish

Abstract: Understanding genomic signatures of divergent selection underlying long-term adaptation in populations located in heterogeneous environments is a key goal in evolutionary biology. In this study, we investigated neutral, adaptive and deleterious genetic variation using 7,192 SNPs in 31 Lake Trout (Salvelinus namaycush) populations (n = 673) from Québec, Canada. Average genetic diversity was low, weakly shared among lakes, and positively correlated with lake size, indicating a major role for genetic drift subseq… Show more

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Cited by 55 publications
(69 citation statements)
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References 133 publications
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“…Detection of putative outliers was performed using two approaches: (a) SNPs potentially under balancing and divergent selection were identified using BAYESCAN v.2.1 (Foll & Gaggiotti, ) and (b) SNPs under polygenic selection linked to temperature were detected using a random forest algorithm (Boulesteix, Janitza, Kruppa, & Konig, ; Chen & Ishwaran, ; Goldstein, Polley, & Briggs, ). This second step was produced because different seasonal temperature variables may impose different selective pressures on Lake Trout (Perrier et al., ). The putative outliers were subsequently removed from the SNP datasets, such that only putative neutrals remained (hereafter called “neutral markers”) for the subsequent analyses.…”
Section: Methodsmentioning
confidence: 99%
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“…Detection of putative outliers was performed using two approaches: (a) SNPs potentially under balancing and divergent selection were identified using BAYESCAN v.2.1 (Foll & Gaggiotti, ) and (b) SNPs under polygenic selection linked to temperature were detected using a random forest algorithm (Boulesteix, Janitza, Kruppa, & Konig, ; Chen & Ishwaran, ; Goldstein, Polley, & Briggs, ). This second step was produced because different seasonal temperature variables may impose different selective pressures on Lake Trout (Perrier et al., ). The putative outliers were subsequently removed from the SNP datasets, such that only putative neutrals remained (hereafter called “neutral markers”) for the subsequent analyses.…”
Section: Methodsmentioning
confidence: 99%
“…We used the Rainbow Trout transcriptome because it was the best transcriptome available among salmonids at the time we produced this work and for the sake of similarity with Perrier et al. (). All hits with a similarity higher than 25 amino acid of 26 possible (considering 80‐bp‐long read) and more than 95% similarity between the query read and the transcriptome sequence were retained.…”
Section: Methodsmentioning
confidence: 99%
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“…The full magnitude of divergence between the PPP broodstock and the wild populations was not apparent before this study. Small effective population size increases genetic drift and may have produced different alleles and genetic backgrounds in the wild versus hatchery populations (Messer & Petrov, ; Perrier et al, ), limiting our ability to find shared loci across populations and tests. The limited number of outliers detected by bayescan in the two wild lake populations (and in previous analyses of stream populations) probably reflects this.…”
Section: Discussionmentioning
confidence: 99%