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dc.contributor.authorVan Wyngaarden, Mallory
dc.contributor.authorSnelgrove, Paul V. R.
dc.contributor.authorDiBacco, Claudio and Hamilton, Lorraine C.
dc.contributor.authorRodriguez-Ezpeleta, Naiara
dc.contributor.authorZhan, Luyao and Beiko, Robert G.
dc.contributor.authorBradbury, Ian R.
dc.date.accessioned2019-06-18T11:51:08Z-
dc.date.available2019-06-18T11:51:08Z-
dc.date.issued2018
dc.identifierISI:000426725900038
dc.identifier.citationECOLOGY AND EVOLUTION, 2018, 8, 2824-2841
dc.identifier.issn2045-7758
dc.identifier.urihttp://dspace.azti.es/handle/24689/838-
dc.description.abstractEnvironmental 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 (R-adj(2)=.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.
dc.language.isoeng
dc.publisherWILEY
dc.subjectadaptation
dc.subjectoutlier loci
dc.subjectpopulation genomics
dc.subjectRAD-seq
dc.subjectsea scallop
dc.subjectsingle-nucleotide polymorphism
dc.subjectGIANT SCALLOP
dc.subjectGENETIC DIFFERENTIATION
dc.subjectLOCAL ADAPTATION
dc.subjectPOPULATION-STRUCTURE
dc.subjectREPRODUCTIVE-CYCLE
dc.subjectADAPTIVE EVOLUTION
dc.subjectATLANTIC COD
dc.subjectMARINE FISH
dc.subjectCONNECTIVITY
dc.subjectSELECTION
dc.titleOceanographic variation influences spatial genomic structure in the sea scallop, Placopecten magellanicus
dc.typeArticle
dc.identifier.journalECOLOGY AND EVOLUTION
dc.format.page2824-2841
dc.format.volume8
dc.contributor.funderNatural Sciences and Engineering Research Council of Canada
dc.identifier.doi10.1002/ece3.3846
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