2021
DOI: 10.1101/2021.05.18.444736
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Gene flow influences the genomic architecture of local adaptation in six riverine fish species

Abstract: Understanding how gene flow influences adaptive divergence is important for predicting adaptive responses. Theoretical studies suggest that when gene flow is high, clustering of adaptive genes in fewer genomic regions would protect adaptive alleles from among-population recombination and thus be selected for, but few studies have tested this hypothesis with empirical data. Here, we used RADseq to generate genomic data for six fish species with contrasting life histories from six reaches of the Upper Mississipp… Show more

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Cited by 8 publications
(18 citation statements)
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“…A highly polygenic, genotypically redundant (as in [29]) architecture can allow for LA to occur even when the alleles are individually prone to swamping by migration (hereafter: swamping-prone alleles; [27]). Therefore, the question remains as to whether genomes with multiple, large and old inversions involved in LA under high gene flow could be consistent with a highly polygenic architecture, and whether inversions could establish as a means of accumulation (as opposed to capture, as previous theory/simulations have assumed) of small-effect alleles [30].…”
Section: Introductionmentioning
confidence: 99%
“…A highly polygenic, genotypically redundant (as in [29]) architecture can allow for LA to occur even when the alleles are individually prone to swamping by migration (hereafter: swamping-prone alleles; [27]). Therefore, the question remains as to whether genomes with multiple, large and old inversions involved in LA under high gene flow could be consistent with a highly polygenic architecture, and whether inversions could establish as a means of accumulation (as opposed to capture, as previous theory/simulations have assumed) of small-effect alleles [30].…”
Section: Introductionmentioning
confidence: 99%
“…We used a reduced representation approach to genotype n = 345 walleye from three different waterbodies in North America at 46,342 genetic markers. Walleye of the Canadian lakes diverged from each other despite three scenarios for gene flow: a connecting river, stocking of fry throughout the 20th century, and flooding in 1882, 1902, 1904, 2011, and 2014 (and gence between Lake Winnipeg and Lake Manitoba walleye (Shi et al, 2021;Wellenreuther & Bernatchez, 2018), and three expressed genes (i.e., mRNA transcripts) within it indicate at least the potential for functional significance of the putative inversion.…”
Section: Discussionmentioning
confidence: 99%
“…According to a simulation study, intermediate-to-large inversions have been linked to local adaptation, but small inversions were preferentially fixed in directly beneficial mutation models and contributed the most to genome evolution in neutral and underdominant scenarios (Connallon & Olito, 2021). Among fishes, chromosomal inversions have largely been characterized in well studied groups of species such as representative salmonids (Arostegui et al, 2019;Leitwein et al, 2017;McKinney et al, 2020;Pearse et al, 2014) and gadids (Berg et al, 2016(Berg et al, , 2017Kirubakaran et al, 2016;Puncher et al, 2019;Sinclair-Waters et al, 2018;Sodeland et al, 2016), but little information exists on the importance of inversions in most taxa, especially in obligate freshwater inhabitants (Penso-Dolfin et al, 2020;Roesti et al, 2015;Shi et al, 2021).…”
Section: Introductionmentioning
confidence: 99%
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“…Briefly, the HMM characterizes and sorts genomic regions according to their level of differentiation, and is generally used to detect island of divergence (e.g. Soria-Carrasco et al, 2014, Shi et al, 2021. Here, the HMM was applied to detect regions of introgression by contrasting regions with high-background differentiation (with an F ST value of one) from regions with intermediate differentiation (with F ST normally distributed around the 15% lower quantile) and low differentiation (with F ST normally distributed around the 5% lower quantile) using a modify version of the R script available from Marques et al (2016).…”
Section: Investigating Introgression Between Ciona Intestinalis and C Robusta (Dataset 3)mentioning
confidence: 99%