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However, genetic inference can be greatly enhanced by increasing the genomic, geographical or environmental resolution of population genetic studies. Here, we investigated the population structure of turbot (<jats:italic><jats:styled-content style=\"fixed-case\">S<\/jats:styled-content>cophthalmus maximus<\/jats:italic>) by screening 17 random and gene\u2010linked markers in 999 individuals at 290 geographical locations throughout the <jats:styled-content style=\"fixed-case\">n<\/jats:styled-content>ortheast <jats:styled-content style=\"fixed-case\">A<\/jats:styled-content>tlantic <jats:styled-content style=\"fixed-case\">O<\/jats:styled-content>cean. A seascape genetics approach with the inclusion of high\u2010resolution oceanographical data was used to quantify the association of genetic variation with spatial, temporal and environmental parameters. Neutral loci identified three subgroups: an <jats:styled-content style=\"fixed-case\">A<\/jats:styled-content>tlantic group, a <jats:styled-content style=\"fixed-case\">B<\/jats:styled-content>altic <jats:styled-content style=\"fixed-case\">S<\/jats:styled-content>ea group and one on the <jats:styled-content style=\"fixed-case\">I<\/jats:styled-content>rish <jats:styled-content style=\"fixed-case\">S<\/jats:styled-content>helf. The inclusion of loci putatively under selection suggested an additional break in the <jats:styled-content style=\"fixed-case\">N<\/jats:styled-content>orth <jats:styled-content style=\"fixed-case\">S<\/jats:styled-content>ea, subdividing southern from northern <jats:styled-content style=\"fixed-case\">A<\/jats:styled-content>tlantic individuals. Environmental and spatial seascape variables correlated marginally with neutral genetic variation, but explained significant proportions (respectively, 8.7% and 10.3%) of adaptive genetic variation. Environmental variables associated with outlier allele frequencies included salinity, temperature, bottom shear stress, dissolved oxygen concentration and depth of the pycnocline. Furthermore, levels of explained adaptive genetic variation differed markedly between basins (3% vs. 12% in the North and Baltic Sea, respectively). We suggest that stable environmental selection pressure contributes to relatively strong local adaptation in the Baltic Sea. Our seascape genetic approach using a large number of sampling locations and associated oceanographical data proved useful for the identification of population units as the basis of management decisions.<\/jats:p>","DOI":"10.1111\/mec.12628","type":"journal-article","created":{"date-parts":[[2013,12,13]],"date-time":"2013-12-13T12:08:24Z","timestamp":1386936504000},"page":"618-636","update-policy":"http:\/\/dx.doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":44,"title":["Regional environmental pressure influences population differentiation in turbot (<i><scp>S<\/scp>cophthalmus maximus<\/i>)"],"prefix":"10.1111","volume":"23","author":[{"given":"S. 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