Hidden but revealed: After years of genetic studies behavioural monitoring combined with genomics uncover new insight into the population dynamics of Atlantic cod in Icelandic waters
Stock structure is of paramount importance for sustainable management of exploited resources. In that context, genetic markers have been used for more than two decades to resolve spatial structure of marine exploited resources and to fully fathom stock dynamics and interactions. While genetic marker...
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Online Access: | http://hdl.handle.net/10852/97148 https://doi.org/10.1111/eva.13471 |
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ftoslouniv:oai:www.duo.uio.no:10852/97148 2023-05-15T15:26:50+02:00 Hidden but revealed: After years of genetic studies behavioural monitoring combined with genomics uncover new insight into the population dynamics of Atlantic cod in Icelandic waters ENEngelskEnglishHidden but revealed: After years of genetic studies behavioural monitoring combined with genomics uncover new insight into the population dynamics of Atlantic cod in Icelandic waters Pampoulie, Christophe Berg, Paul Ragnar Jentoft, Sissel 2022-09-07T07:15:05Z http://hdl.handle.net/10852/97148 https://doi.org/10.1111/eva.13471 EN eng Pampoulie, Christophe Berg, Paul Ragnar Jentoft, Sissel . Hidden but revealed: After years of genetic studies behavioural monitoring combined with genomics uncover new insight into the population dynamics of Atlantic cod in Icelandic waters. Evolutionary Applications. 2022 http://hdl.handle.net/10852/97148 2049304 info:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Evolutionary Applications&rft.volume=&rft.spage=&rft.date=2022 Evolutionary Applications 11 https://doi.org/10.1111/eva.13471 Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/ CC-BY 1752-4571 Journal article Tidsskriftartikkel Peer reviewed PublishedVersion 2022 ftoslouniv https://doi.org/10.1111/eva.13471 2022-10-12T22:35:47Z Stock structure is of paramount importance for sustainable management of exploited resources. In that context, genetic markers have been used for more than two decades to resolve spatial structure of marine exploited resources and to fully fathom stock dynamics and interactions. While genetic markers such as allozymes and RFLP dominated the debate in the early era of genetics, technology advances have provided scientists with new tools every decade to better assess stock discrimination and interactions (i.e. gene flow). Here, we provide a review of genetic studies performed to understand stock structure of Atlantic cod in Icelandic waters, from the early allozyme approaches to the genomic work currently carried out. We further highlight the importance of the generation of a chromosome-anchored genome assembly together with whole-genome population data, which drastically changed our perception of the possible management units to consider. After nearly 60 years of genetic investigation of Atlantic cod structure in Icelandic waters, genetic (and later genomic) data combined with behavioural monitoring using Data Storage Tags shifted the attention from geographical population structures to behavioural ecotypes. This review also demonstrates the need for future research to further disentangle the impact of these ecotypes (and gene flow among them) on the population structure of Atlantic cod in Icelandic waters. It also highlights the importance of whole-genome data to unravel unexpected within-species diversity related to chromosomal inversions and associated supergenes, which are important to consider for future development of sustainable management programmes of the species within the North Atlantic. Article in Journal/Newspaper atlantic cod North Atlantic Universitet i Oslo: Digitale utgivelser ved UiO (DUO) Evolutionary Applications |
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Universitet i Oslo: Digitale utgivelser ved UiO (DUO) |
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ftoslouniv |
language |
English |
description |
Stock structure is of paramount importance for sustainable management of exploited resources. In that context, genetic markers have been used for more than two decades to resolve spatial structure of marine exploited resources and to fully fathom stock dynamics and interactions. While genetic markers such as allozymes and RFLP dominated the debate in the early era of genetics, technology advances have provided scientists with new tools every decade to better assess stock discrimination and interactions (i.e. gene flow). Here, we provide a review of genetic studies performed to understand stock structure of Atlantic cod in Icelandic waters, from the early allozyme approaches to the genomic work currently carried out. We further highlight the importance of the generation of a chromosome-anchored genome assembly together with whole-genome population data, which drastically changed our perception of the possible management units to consider. After nearly 60 years of genetic investigation of Atlantic cod structure in Icelandic waters, genetic (and later genomic) data combined with behavioural monitoring using Data Storage Tags shifted the attention from geographical population structures to behavioural ecotypes. This review also demonstrates the need for future research to further disentangle the impact of these ecotypes (and gene flow among them) on the population structure of Atlantic cod in Icelandic waters. It also highlights the importance of whole-genome data to unravel unexpected within-species diversity related to chromosomal inversions and associated supergenes, which are important to consider for future development of sustainable management programmes of the species within the North Atlantic. |
format |
Article in Journal/Newspaper |
author |
Pampoulie, Christophe Berg, Paul Ragnar Jentoft, Sissel |
spellingShingle |
Pampoulie, Christophe Berg, Paul Ragnar Jentoft, Sissel Hidden but revealed: After years of genetic studies behavioural monitoring combined with genomics uncover new insight into the population dynamics of Atlantic cod in Icelandic waters |
author_facet |
Pampoulie, Christophe Berg, Paul Ragnar Jentoft, Sissel |
author_sort |
Pampoulie, Christophe |
title |
Hidden but revealed: After years of genetic studies behavioural monitoring combined with genomics uncover new insight into the population dynamics of Atlantic cod in Icelandic waters |
title_short |
Hidden but revealed: After years of genetic studies behavioural monitoring combined with genomics uncover new insight into the population dynamics of Atlantic cod in Icelandic waters |
title_full |
Hidden but revealed: After years of genetic studies behavioural monitoring combined with genomics uncover new insight into the population dynamics of Atlantic cod in Icelandic waters |
title_fullStr |
Hidden but revealed: After years of genetic studies behavioural monitoring combined with genomics uncover new insight into the population dynamics of Atlantic cod in Icelandic waters |
title_full_unstemmed |
Hidden but revealed: After years of genetic studies behavioural monitoring combined with genomics uncover new insight into the population dynamics of Atlantic cod in Icelandic waters |
title_sort |
hidden but revealed: after years of genetic studies behavioural monitoring combined with genomics uncover new insight into the population dynamics of atlantic cod in icelandic waters |
publishDate |
2022 |
url |
http://hdl.handle.net/10852/97148 https://doi.org/10.1111/eva.13471 |
genre |
atlantic cod North Atlantic |
genre_facet |
atlantic cod North Atlantic |
op_source |
1752-4571 |
op_relation |
Pampoulie, Christophe Berg, Paul Ragnar Jentoft, Sissel . Hidden but revealed: After years of genetic studies behavioural monitoring combined with genomics uncover new insight into the population dynamics of Atlantic cod in Icelandic waters. Evolutionary Applications. 2022 http://hdl.handle.net/10852/97148 2049304 info:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Evolutionary Applications&rft.volume=&rft.spage=&rft.date=2022 Evolutionary Applications 11 https://doi.org/10.1111/eva.13471 |
op_rights |
Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/ |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1111/eva.13471 |
container_title |
Evolutionary Applications |
_version_ |
1766357317921538048 |