Genetic analysis redraws the management boundaries for the European sprat
Sustainable fisheries management requires detailed knowledge of population genetic structure. The European sprat is an important commercial fish distributed from Morocco to the Arctic circle, Baltic, Mediterranean, and Black seas. Prior to 2018, annual catch advice on sprat from the International Co...
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Online Access: | https://hdl.handle.net/11250/2683136 https://doi.org/10.1111/eva.12942 |
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ftimr:oai:imr.brage.unit.no:11250/2683136 2023-05-15T15:08:04+02:00 Genetic analysis redraws the management boundaries for the European sprat Sanchez, Maria Quintela Kvamme, Cecilie Bekkevold, Dorte Nash, Richard David Marriott Jansson, Eeva Sørvik, Anne Grete Eide Taggart, John B. Skaala, Øystein Dahle, Geir Glover, Kevin 2020 application/pdf https://hdl.handle.net/11250/2683136 https://doi.org/10.1111/eva.12942 eng eng Evolutionary Applications. 2020, 13 (8), 1906-1922. urn:issn:1752-4571 https://hdl.handle.net/11250/2683136 https://doi.org/10.1111/eva.12942 cristin:1814712 1906-1922 13 Evolutionary Applications 8 Peer reviewed Journal article 2020 ftimr https://doi.org/10.1111/eva.12942 2021-09-23T20:14:33Z Sustainable fisheries management requires detailed knowledge of population genetic structure. The European sprat is an important commercial fish distributed from Morocco to the Arctic circle, Baltic, Mediterranean, and Black seas. Prior to 2018, annual catch advice on sprat from the International Council for the Exploration of the Sea (ICES) was based on five putative stocks: (a) North Sea, (b) Kattegat–Skagerrak and Norwegian fjords, (c) Baltic Sea, (d) West of Scotland—southern Celtic Seas, and (e) English Channel. However, there were concerns that the sprat advice on stock size estimates management plan inadequately reflected the underlying biological units. Here, we used ddRAD sequencing to develop 91 SNPs that were thereafter used to genotype approximately 2,500 fish from 40 locations. Three highly distinct and relatively homogenous genetic groups were identified: (a) Norwegian fjords; (b) Northeast Atlantic including the North Sea, Kattegat–Skagerrak, Celtic Sea, and Bay of Biscay; and (c) Baltic Sea. Evidence of genetic admixture and possibly physical mixing was detected in samples collected from the transition zone between the North and Baltic seas, but not between any of the other groups. These results have already been implemented by ICES with the decision to merge the North Sea and the Kattegat–Skagerrak sprat to be assessed as a single unit, thus demonstrating that genetic data can be rapidly absorbed to align harvest regimes and biological units. publishedVersion Article in Journal/Newspaper Arctic Northeast Atlantic Institute for Marine Research: Brage IMR Arctic Kattegat ENVELOPE(9.692,9.692,63.563,63.563) Evolutionary Applications 13 8 1906 1922 |
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Open Polar |
collection |
Institute for Marine Research: Brage IMR |
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ftimr |
language |
English |
description |
Sustainable fisheries management requires detailed knowledge of population genetic structure. The European sprat is an important commercial fish distributed from Morocco to the Arctic circle, Baltic, Mediterranean, and Black seas. Prior to 2018, annual catch advice on sprat from the International Council for the Exploration of the Sea (ICES) was based on five putative stocks: (a) North Sea, (b) Kattegat–Skagerrak and Norwegian fjords, (c) Baltic Sea, (d) West of Scotland—southern Celtic Seas, and (e) English Channel. However, there were concerns that the sprat advice on stock size estimates management plan inadequately reflected the underlying biological units. Here, we used ddRAD sequencing to develop 91 SNPs that were thereafter used to genotype approximately 2,500 fish from 40 locations. Three highly distinct and relatively homogenous genetic groups were identified: (a) Norwegian fjords; (b) Northeast Atlantic including the North Sea, Kattegat–Skagerrak, Celtic Sea, and Bay of Biscay; and (c) Baltic Sea. Evidence of genetic admixture and possibly physical mixing was detected in samples collected from the transition zone between the North and Baltic seas, but not between any of the other groups. These results have already been implemented by ICES with the decision to merge the North Sea and the Kattegat–Skagerrak sprat to be assessed as a single unit, thus demonstrating that genetic data can be rapidly absorbed to align harvest regimes and biological units. publishedVersion |
format |
Article in Journal/Newspaper |
author |
Sanchez, Maria Quintela Kvamme, Cecilie Bekkevold, Dorte Nash, Richard David Marriott Jansson, Eeva Sørvik, Anne Grete Eide Taggart, John B. Skaala, Øystein Dahle, Geir Glover, Kevin |
spellingShingle |
Sanchez, Maria Quintela Kvamme, Cecilie Bekkevold, Dorte Nash, Richard David Marriott Jansson, Eeva Sørvik, Anne Grete Eide Taggart, John B. Skaala, Øystein Dahle, Geir Glover, Kevin Genetic analysis redraws the management boundaries for the European sprat |
author_facet |
Sanchez, Maria Quintela Kvamme, Cecilie Bekkevold, Dorte Nash, Richard David Marriott Jansson, Eeva Sørvik, Anne Grete Eide Taggart, John B. Skaala, Øystein Dahle, Geir Glover, Kevin |
author_sort |
Sanchez, Maria Quintela |
title |
Genetic analysis redraws the management boundaries for the European sprat |
title_short |
Genetic analysis redraws the management boundaries for the European sprat |
title_full |
Genetic analysis redraws the management boundaries for the European sprat |
title_fullStr |
Genetic analysis redraws the management boundaries for the European sprat |
title_full_unstemmed |
Genetic analysis redraws the management boundaries for the European sprat |
title_sort |
genetic analysis redraws the management boundaries for the european sprat |
publishDate |
2020 |
url |
https://hdl.handle.net/11250/2683136 https://doi.org/10.1111/eva.12942 |
long_lat |
ENVELOPE(9.692,9.692,63.563,63.563) |
geographic |
Arctic Kattegat |
geographic_facet |
Arctic Kattegat |
genre |
Arctic Northeast Atlantic |
genre_facet |
Arctic Northeast Atlantic |
op_source |
1906-1922 13 Evolutionary Applications 8 |
op_relation |
Evolutionary Applications. 2020, 13 (8), 1906-1922. urn:issn:1752-4571 https://hdl.handle.net/11250/2683136 https://doi.org/10.1111/eva.12942 cristin:1814712 |
op_doi |
https://doi.org/10.1111/eva.12942 |
container_title |
Evolutionary Applications |
container_volume |
13 |
container_issue |
8 |
container_start_page |
1906 |
op_container_end_page |
1922 |
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1766339499442307072 |