Data from: Parallel evolution and adaptation to environmental factors in a marine flatfish: implications for fisheries and aquaculture management of the turbot (Scophthalmus maximus)
Unraveling adaptive genetic variation represents, in addition to the estimate of population demographic parameters, a cornerstone for the management of aquatic natural living resources, which in turn, represent the raw material for breeding programs. The turbot (Scophthalmus maximus) is a marine fla...
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Data Archiving and Networked Services (DANS)
2018
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Online Access: | https://doi.org/10.5061/dryad.pq3376q |
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fttriple:oai:gotriple.eu:50|dedup_wf_001::274c027b965e1e931003f2ab492395eb 2023-05-15T18:15:42+02:00 Data from: Parallel evolution and adaptation to environmental factors in a marine flatfish: implications for fisheries and aquaculture management of the turbot (Scophthalmus maximus) Do Prado, Fernanda Dotti Vera, Manuel Hermida, Miguel Bouza, Carmen Pardo, Belén G. Vilas, Román Blanco, Andrés Fernández, Carlos Maroso, Francesco Maes, Gregory E. Turan, Cemal Volckaert, Filip A.M. Taggart, John B. Carr, Adrian Ogden, Rob Nielsen, Einar E. Consortium, The Aquatrace Martínez, Paulino Volckaert, Filip A. M. Nielsen, Einar Eg 2018-03-01 https://doi.org/10.5061/dryad.pq3376q undefined unknown Data Archiving and Networked Services (DANS) http://dx.doi.org/10.5061/dryad.pq3376q https://dx.doi.org/10.5061/dryad.pq3376q lic_creative-commons oai:easy.dans.knaw.nl:easy-dataset:103063 10.5061/dryad.pq3376q oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:103063 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 re3data_____::r3d100000044 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c Life sciences medicine and health care conservation genetics Scophthalmus maximus adaptive variation population structure RAD sequencing Europe envir geo Dataset https://vocabularies.coar-repositories.org/resource_types/c_ddb1/ 2018 fttriple https://doi.org/10.5061/dryad.pq3376q 2023-01-22T16:51:13Z Unraveling adaptive genetic variation represents, in addition to the estimate of population demographic parameters, a cornerstone for the management of aquatic natural living resources, which in turn, represent the raw material for breeding programs. The turbot (Scophthalmus maximus) is a marine flatfish of high commercial value living on the European continental shelf. While wild populations are declining, aquaculture is flourishing in Southern Europe. We evaluated the genetic structure of turbot throughout its natural distribution range (672 individuals; 20 populations) by analyzing allele frequency data from 755 Single Nucleotide Polymorphism discovered and genotyped by Double Digest RAD Sequencing. The species was structured into four main regions: Baltic Sea, Atlantic Ocean, Adriatic Sea and Black Sea, with subtle differentiation apparent at the distribution margins of the Atlantic region. Genetic diversity and effective population size estimates were highest in the Atlantic populations, the area of greatest occurrence, while turbot from other regions showed lower levels, reflecting geographical isolation and reduced abundance. Divergent selection was detected within and between the Atlantic Ocean and Baltic Sea regions, and also when comparing these two regions with the Black Sea. Evidence of parallel evolution was detected between the two low salinity regions, the Baltic and Black seas. Correlation between genetic and environmental variation indicated that temperature and salinity were probably the main environmental drivers of selection. Mining around the four genomic regions consistently inferred to be under selection identified candidate genes related to osmoregulation, growth and resistance to diseases. The new insights are useful for the management of turbot fisheries and aquaculture by providing the baseline for evaluating the consequences of turbot releases from restocking and farming. GP_755SNP_wild_turbotGenepop input file created by Populations including all the locations and markers used in the ... Dataset Scophthalmus maximus Turbot Unknown |
institution |
Open Polar |
collection |
Unknown |
op_collection_id |
fttriple |
language |
unknown |
topic |
Life sciences medicine and health care conservation genetics Scophthalmus maximus adaptive variation population structure RAD sequencing Europe envir geo |
spellingShingle |
Life sciences medicine and health care conservation genetics Scophthalmus maximus adaptive variation population structure RAD sequencing Europe envir geo Do Prado, Fernanda Dotti Vera, Manuel Hermida, Miguel Bouza, Carmen Pardo, Belén G. Vilas, Román Blanco, Andrés Fernández, Carlos Maroso, Francesco Maes, Gregory E. Turan, Cemal Volckaert, Filip A.M. Taggart, John B. Carr, Adrian Ogden, Rob Nielsen, Einar E. Consortium, The Aquatrace Martínez, Paulino Volckaert, Filip A. M. Nielsen, Einar Eg Data from: Parallel evolution and adaptation to environmental factors in a marine flatfish: implications for fisheries and aquaculture management of the turbot (Scophthalmus maximus) |
topic_facet |
Life sciences medicine and health care conservation genetics Scophthalmus maximus adaptive variation population structure RAD sequencing Europe envir geo |
description |
Unraveling adaptive genetic variation represents, in addition to the estimate of population demographic parameters, a cornerstone for the management of aquatic natural living resources, which in turn, represent the raw material for breeding programs. The turbot (Scophthalmus maximus) is a marine flatfish of high commercial value living on the European continental shelf. While wild populations are declining, aquaculture is flourishing in Southern Europe. We evaluated the genetic structure of turbot throughout its natural distribution range (672 individuals; 20 populations) by analyzing allele frequency data from 755 Single Nucleotide Polymorphism discovered and genotyped by Double Digest RAD Sequencing. The species was structured into four main regions: Baltic Sea, Atlantic Ocean, Adriatic Sea and Black Sea, with subtle differentiation apparent at the distribution margins of the Atlantic region. Genetic diversity and effective population size estimates were highest in the Atlantic populations, the area of greatest occurrence, while turbot from other regions showed lower levels, reflecting geographical isolation and reduced abundance. Divergent selection was detected within and between the Atlantic Ocean and Baltic Sea regions, and also when comparing these two regions with the Black Sea. Evidence of parallel evolution was detected between the two low salinity regions, the Baltic and Black seas. Correlation between genetic and environmental variation indicated that temperature and salinity were probably the main environmental drivers of selection. Mining around the four genomic regions consistently inferred to be under selection identified candidate genes related to osmoregulation, growth and resistance to diseases. The new insights are useful for the management of turbot fisheries and aquaculture by providing the baseline for evaluating the consequences of turbot releases from restocking and farming. GP_755SNP_wild_turbotGenepop input file created by Populations including all the locations and markers used in the ... |
format |
Dataset |
author |
Do Prado, Fernanda Dotti Vera, Manuel Hermida, Miguel Bouza, Carmen Pardo, Belén G. Vilas, Román Blanco, Andrés Fernández, Carlos Maroso, Francesco Maes, Gregory E. Turan, Cemal Volckaert, Filip A.M. Taggart, John B. Carr, Adrian Ogden, Rob Nielsen, Einar E. Consortium, The Aquatrace Martínez, Paulino Volckaert, Filip A. M. Nielsen, Einar Eg |
author_facet |
Do Prado, Fernanda Dotti Vera, Manuel Hermida, Miguel Bouza, Carmen Pardo, Belén G. Vilas, Román Blanco, Andrés Fernández, Carlos Maroso, Francesco Maes, Gregory E. Turan, Cemal Volckaert, Filip A.M. Taggart, John B. Carr, Adrian Ogden, Rob Nielsen, Einar E. Consortium, The Aquatrace Martínez, Paulino Volckaert, Filip A. M. Nielsen, Einar Eg |
author_sort |
Do Prado, Fernanda Dotti |
title |
Data from: Parallel evolution and adaptation to environmental factors in a marine flatfish: implications for fisheries and aquaculture management of the turbot (Scophthalmus maximus) |
title_short |
Data from: Parallel evolution and adaptation to environmental factors in a marine flatfish: implications for fisheries and aquaculture management of the turbot (Scophthalmus maximus) |
title_full |
Data from: Parallel evolution and adaptation to environmental factors in a marine flatfish: implications for fisheries and aquaculture management of the turbot (Scophthalmus maximus) |
title_fullStr |
Data from: Parallel evolution and adaptation to environmental factors in a marine flatfish: implications for fisheries and aquaculture management of the turbot (Scophthalmus maximus) |
title_full_unstemmed |
Data from: Parallel evolution and adaptation to environmental factors in a marine flatfish: implications for fisheries and aquaculture management of the turbot (Scophthalmus maximus) |
title_sort |
data from: parallel evolution and adaptation to environmental factors in a marine flatfish: implications for fisheries and aquaculture management of the turbot (scophthalmus maximus) |
publisher |
Data Archiving and Networked Services (DANS) |
publishDate |
2018 |
url |
https://doi.org/10.5061/dryad.pq3376q |
genre |
Scophthalmus maximus Turbot |
genre_facet |
Scophthalmus maximus Turbot |
op_source |
oai:easy.dans.knaw.nl:easy-dataset:103063 10.5061/dryad.pq3376q oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:103063 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 re3data_____::r3d100000044 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c |
op_relation |
http://dx.doi.org/10.5061/dryad.pq3376q https://dx.doi.org/10.5061/dryad.pq3376q |
op_rights |
lic_creative-commons |
op_doi |
https://doi.org/10.5061/dryad.pq3376q |
_version_ |
1766188887813652480 |