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Oceanographic variation influences spatial genomic structure in the sea scallop,Placopecten magellanicus
Authors:Mallory Van Wyngaarden  Paul V. R. Snelgrove  Claudio DiBacco  Lorraine C. Hamilton  Naiara Rodríguez‐Ezpeleta  Luyao Zhan  Robert G. Beiko  Ian R. Bradbury
Affiliation:1. Department of Biology, Memorial University of Newfoundland, St. John's, NL, Canada;2. Department of Ocean Sciences, Memorial University of Newfoundland, St. John's, NL, Canada;3. Bedford Institute of Oceanography, Dartmouth, NS, Canada;4. Aquatic Biotechnology Lab, Bedford Institute of Oceanography, Dartmouth, NS, Canada;5. Marine Research Division, AZTI, Sukarrieta, Bizkaia, Spain;6. Faculty of Computer Science, Dalhousie University, Halifax, NS, Canada;7. Fisheries and Oceans Canada, Northwest Atlantic Fisheries Centre, St. John's, NL, Canada
Abstract:Environmental factors can influence diversity and population structure in marine species and accurate understanding of this influence can both improve fisheries management and help predict responses to environmental change. We used 7163 SNPs derived from restriction site‐associated DNA sequencing genotyped in 245 individuals of the economically important sea scallop, Placopecten magellanicus, to evaluate the correlations between oceanographic variation and a previously identified latitudinal genomic cline. Sea scallops span a broad latitudinal area (>10 degrees), and we hypothesized that climatic variation significantly drives clinal trends in allele frequency. Using a large environmental dataset, including temperature, salinity, chlorophyll a, and nutrient concentrations, we identified a suite of SNPs (285–621, depending on analysis and environmental dataset) potentially under selection through correlations with environmental variation. Principal components analysis of different outlier SNPs and environmental datasets revealed similar northern and southern clusters, with significant associations between the first axes of each (R2adj = .66–.79). Multivariate redundancy analysis of outlier SNPs and the environmental principal components indicated that environmental factors explained more than 32% of the variance. Similarly, multiple linear regressions and random‐forest analysis identified winter average and minimum ocean temperatures as significant parameters in the link between genetic and environmental variation. This work indicates that oceanographic variation is associated with the observed genomic cline in this species and that seasonal periods of extreme cold may restrict gene flow along a latitudinal gradient in this marine benthic bivalve. Incorporating this finding into management may improve accuracy of management strategies and future predictions.
Keywords:adaptation  outlier loci  population genomics  RAD‐seq  sea scallop  single‐nucleotide polymorphism
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