Data from: Regional environmental pressure influences population differentiation in turbot (Scophthalmus maximus)
Unravelling the factors shaping the genetic structure of mobile marine species is challenging due to the high potential for gene flow. However, genetic inference can be greatly enhanced by increasing the genomic, geographic or environmental resolution of population genetic studies. Here we investiga...
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ftdryad:oai:v1.datadryad.org:10255/dryad.57487 2023-05-15T17:41:17+02:00 Data from: Regional environmental pressure influences population differentiation in turbot (Scophthalmus maximus) Vandamme, S. G. Maes, G. E. Raeymaekers, J. A. M. Cottenie, K. Imsland, A. K. Hellemans, B. Lacroix, G. Mac Aoidh, E. Martinsohn, J. T. Martínez, P. Robbens, J. Vilas, R. Volckaert, F. A. M. Northeast Atlantic Ocean 2013-12-10T17:50:04Z http://hdl.handle.net/10255/dryad.57487 https://doi.org/10.5061/dryad.21k5t unknown doi:10.5061/dryad.21k5t/1 doi:10.1111/mec.12628 PMID:24354713 doi:10.5061/dryad.21k5t Vandamme SG, Maes GE, Raeymaekers JAM, Cottenie K, Imsland AK, Hellemans B, Lacroix G, Mac Aoidh E, Martinsohn JT, Martínez P, Robbens J, Vilas R, Volckaert FAM (2014) Regional environmental pressure influences population differentiation in turbot (Scophthalmus maximus). Molecular Ecology 23(3): 618-636. http://hdl.handle.net/10255/dryad.57487 adaptive genetic variation microsatellite oceanography population structure seascape genetics Article 2013 ftdryad https://doi.org/10.5061/dryad.21k5t https://doi.org/10.5061/dryad.21k5t/1 https://doi.org/10.1111/mec.12628 2020-01-01T15:00:03Z Unravelling the factors shaping the genetic structure of mobile marine species is challenging due to the high potential for gene flow. However, genetic inference can be greatly enhanced by increasing the genomic, geographic or environmental resolution of population genetic studies. Here we investigated the population structure of turbot (Scophthalmus maximus) by screening 17 random and gene-linked markers in 999 individuals at 290 geographical locations throughout the Northeast Atlantic Ocean. A seascape genetics approach with the inclusion of high resolution oceanographic data was used to quantify the association of genetic variation with spatial, temporal and environmental parameters. Neutral loci identified three subgroups: an Atlantic group, a Baltic Sea group and one on the Irish Shelf. The inclusion of loci putatively under selection suggested an additional break in the North Sea, subdividing southern from northern Atlantic 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 among 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 oceanographic data proved useful for the identification of population units as the basis of management decisions. Article in Journal/Newspaper Northeast Atlantic Scophthalmus maximus Turbot Dryad Digital Repository (Duke University) |
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Open Polar |
collection |
Dryad Digital Repository (Duke University) |
op_collection_id |
ftdryad |
language |
unknown |
topic |
adaptive genetic variation microsatellite oceanography population structure seascape genetics |
spellingShingle |
adaptive genetic variation microsatellite oceanography population structure seascape genetics Vandamme, S. G. Maes, G. E. Raeymaekers, J. A. M. Cottenie, K. Imsland, A. K. Hellemans, B. Lacroix, G. Mac Aoidh, E. Martinsohn, J. T. Martínez, P. Robbens, J. Vilas, R. Volckaert, F. A. M. Data from: Regional environmental pressure influences population differentiation in turbot (Scophthalmus maximus) |
topic_facet |
adaptive genetic variation microsatellite oceanography population structure seascape genetics |
description |
Unravelling the factors shaping the genetic structure of mobile marine species is challenging due to the high potential for gene flow. However, genetic inference can be greatly enhanced by increasing the genomic, geographic or environmental resolution of population genetic studies. Here we investigated the population structure of turbot (Scophthalmus maximus) by screening 17 random and gene-linked markers in 999 individuals at 290 geographical locations throughout the Northeast Atlantic Ocean. A seascape genetics approach with the inclusion of high resolution oceanographic data was used to quantify the association of genetic variation with spatial, temporal and environmental parameters. Neutral loci identified three subgroups: an Atlantic group, a Baltic Sea group and one on the Irish Shelf. The inclusion of loci putatively under selection suggested an additional break in the North Sea, subdividing southern from northern Atlantic 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 among 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 oceanographic data proved useful for the identification of population units as the basis of management decisions. |
format |
Article in Journal/Newspaper |
author |
Vandamme, S. G. Maes, G. E. Raeymaekers, J. A. M. Cottenie, K. Imsland, A. K. Hellemans, B. Lacroix, G. Mac Aoidh, E. Martinsohn, J. T. Martínez, P. Robbens, J. Vilas, R. Volckaert, F. A. M. |
author_facet |
Vandamme, S. G. Maes, G. E. Raeymaekers, J. A. M. Cottenie, K. Imsland, A. K. Hellemans, B. Lacroix, G. Mac Aoidh, E. Martinsohn, J. T. Martínez, P. Robbens, J. Vilas, R. Volckaert, F. A. M. |
author_sort |
Vandamme, S. G. |
title |
Data from: Regional environmental pressure influences population differentiation in turbot (Scophthalmus maximus) |
title_short |
Data from: Regional environmental pressure influences population differentiation in turbot (Scophthalmus maximus) |
title_full |
Data from: Regional environmental pressure influences population differentiation in turbot (Scophthalmus maximus) |
title_fullStr |
Data from: Regional environmental pressure influences population differentiation in turbot (Scophthalmus maximus) |
title_full_unstemmed |
Data from: Regional environmental pressure influences population differentiation in turbot (Scophthalmus maximus) |
title_sort |
data from: regional environmental pressure influences population differentiation in turbot (scophthalmus maximus) |
publishDate |
2013 |
url |
http://hdl.handle.net/10255/dryad.57487 https://doi.org/10.5061/dryad.21k5t |
op_coverage |
Northeast Atlantic Ocean |
genre |
Northeast Atlantic Scophthalmus maximus Turbot |
genre_facet |
Northeast Atlantic Scophthalmus maximus Turbot |
op_relation |
doi:10.5061/dryad.21k5t/1 doi:10.1111/mec.12628 PMID:24354713 doi:10.5061/dryad.21k5t Vandamme SG, Maes GE, Raeymaekers JAM, Cottenie K, Imsland AK, Hellemans B, Lacroix G, Mac Aoidh E, Martinsohn JT, Martínez P, Robbens J, Vilas R, Volckaert FAM (2014) Regional environmental pressure influences population differentiation in turbot (Scophthalmus maximus). Molecular Ecology 23(3): 618-636. http://hdl.handle.net/10255/dryad.57487 |
op_doi |
https://doi.org/10.5061/dryad.21k5t https://doi.org/10.5061/dryad.21k5t/1 https://doi.org/10.1111/mec.12628 |
_version_ |
1766142764342312960 |