Data from: Genetic analyses reveal complex dynamics within a marine fish management area
Genetic data have great potential for improving fisheries management by identifying the fundamental management units – i.e. the biological populations - and their mixing. However, so far the number of practical cases of marine fisheries management using genetics has been limited. Here, we used Atlan...
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Language: | English |
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Dryad
2018
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Online Access: | https://doi.org/10.5061/dryad.83765sm |
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fttriple:oai:gotriple.eu:50|dedup_wf_001::dde91ecddc6d8a1e0f79fe31cf72b762 2023-05-15T15:27:10+02:00 Data from: Genetic analyses reveal complex dynamics within a marine fish management area Hemmer-Hansen, Jakob Hüssy, Karin Baktoft, Henrik Huwer, Bastian Bekkevold, Dorte Haslob, Holger Herrmann, Jens-Peter Hinrichsen, Hans-Harald Krumme, Uwe Mosegaard, Henrik Nielsen, Einar Eg Reusch, Thorsten B.H. Storr-Paulsen, Marie Velasco, Andres Von Dewitz, Burkhard Dierking, Jan Eero, Margit 2018-01-01 https://doi.org/10.5061/dryad.83765sm en eng Dryad http://dx.doi.org/10.5061/dryad.83765sm https://dx.doi.org/10.5061/dryad.83765sm lic_creative-commons 10.5061/dryad.83765sm oai:easy.dans.knaw.nl:easy-dataset:119700 oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:119700 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 re3data_____::r3d100000044 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c Genomics/Proteomics Fisheries Management marine fishes Evolution Atlantic cod (Gadus morhua) Population Genetics - Empirical Gadus morhua Life sciences medicine and health care Conservation Genetics Baltic Sea envir geo Dataset https://vocabularies.coar-repositories.org/resource_types/c_ddb1/ 2018 fttriple https://doi.org/10.5061/dryad.83765sm 2023-01-22T16:53:26Z Genetic data have great potential for improving fisheries management by identifying the fundamental management units – i.e. the biological populations - and their mixing. However, so far the number of practical cases of marine fisheries management using genetics has been limited. Here, we used Atlantic cod in the Baltic Sea to demonstrate the applicability of genetics to a complex management scenario involving mixing of two genetically divergent populations. Specifically, we addressed several assumptions used in the current assessment of the two populations. Through analysis of 483 single nucleotide polymorphisms (SNPs) distributed across the Atlantic cod genome we confirmed that a model of mechanical mixing, rather than hybridization and introgression, best explained the pattern of genetic differentiation. Thus, the fishery is best monitored as a mixed-stock fishery. Next, we developed a targeted panel of 39 SNPs with high statistical power for identifying population of origin and analysed more than 2000 tissue samples collected between 2011 and 2015 as well as 260 otoliths collected in 2003/2004. These data provided high spatial resolution and allowed us to investigate geographical trends in mixing, to compare patterns for different life stages and to investigate temporal trends in mixing. We found similar geographical trends for the two time points represented by tissue and otolith samples and that a recently implemented geographical management separation of the two populations provided a relatively close match to their distributions. In contrast to the current assumption, we found that patterns of mixing differed between juveniles and adults, a signal likely linked to the different reproductive dynamics of the two populations. Collectively, our data confirm that genetics is an operational tool for complex fisheries management applications. We recommend focussing on developing population assessment models and fisheries management frameworks to capitalize fully on the additional information offered by ... Dataset atlantic cod Gadus morhua Unknown |
institution |
Open Polar |
collection |
Unknown |
op_collection_id |
fttriple |
language |
English |
topic |
Genomics/Proteomics Fisheries Management marine fishes Evolution Atlantic cod (Gadus morhua) Population Genetics - Empirical Gadus morhua Life sciences medicine and health care Conservation Genetics Baltic Sea envir geo |
spellingShingle |
Genomics/Proteomics Fisheries Management marine fishes Evolution Atlantic cod (Gadus morhua) Population Genetics - Empirical Gadus morhua Life sciences medicine and health care Conservation Genetics Baltic Sea envir geo Hemmer-Hansen, Jakob Hüssy, Karin Baktoft, Henrik Huwer, Bastian Bekkevold, Dorte Haslob, Holger Herrmann, Jens-Peter Hinrichsen, Hans-Harald Krumme, Uwe Mosegaard, Henrik Nielsen, Einar Eg Reusch, Thorsten B.H. Storr-Paulsen, Marie Velasco, Andres Von Dewitz, Burkhard Dierking, Jan Eero, Margit Data from: Genetic analyses reveal complex dynamics within a marine fish management area |
topic_facet |
Genomics/Proteomics Fisheries Management marine fishes Evolution Atlantic cod (Gadus morhua) Population Genetics - Empirical Gadus morhua Life sciences medicine and health care Conservation Genetics Baltic Sea envir geo |
description |
Genetic data have great potential for improving fisheries management by identifying the fundamental management units – i.e. the biological populations - and their mixing. However, so far the number of practical cases of marine fisheries management using genetics has been limited. Here, we used Atlantic cod in the Baltic Sea to demonstrate the applicability of genetics to a complex management scenario involving mixing of two genetically divergent populations. Specifically, we addressed several assumptions used in the current assessment of the two populations. Through analysis of 483 single nucleotide polymorphisms (SNPs) distributed across the Atlantic cod genome we confirmed that a model of mechanical mixing, rather than hybridization and introgression, best explained the pattern of genetic differentiation. Thus, the fishery is best monitored as a mixed-stock fishery. Next, we developed a targeted panel of 39 SNPs with high statistical power for identifying population of origin and analysed more than 2000 tissue samples collected between 2011 and 2015 as well as 260 otoliths collected in 2003/2004. These data provided high spatial resolution and allowed us to investigate geographical trends in mixing, to compare patterns for different life stages and to investigate temporal trends in mixing. We found similar geographical trends for the two time points represented by tissue and otolith samples and that a recently implemented geographical management separation of the two populations provided a relatively close match to their distributions. In contrast to the current assumption, we found that patterns of mixing differed between juveniles and adults, a signal likely linked to the different reproductive dynamics of the two populations. Collectively, our data confirm that genetics is an operational tool for complex fisheries management applications. We recommend focussing on developing population assessment models and fisheries management frameworks to capitalize fully on the additional information offered by ... |
format |
Dataset |
author |
Hemmer-Hansen, Jakob Hüssy, Karin Baktoft, Henrik Huwer, Bastian Bekkevold, Dorte Haslob, Holger Herrmann, Jens-Peter Hinrichsen, Hans-Harald Krumme, Uwe Mosegaard, Henrik Nielsen, Einar Eg Reusch, Thorsten B.H. Storr-Paulsen, Marie Velasco, Andres Von Dewitz, Burkhard Dierking, Jan Eero, Margit |
author_facet |
Hemmer-Hansen, Jakob Hüssy, Karin Baktoft, Henrik Huwer, Bastian Bekkevold, Dorte Haslob, Holger Herrmann, Jens-Peter Hinrichsen, Hans-Harald Krumme, Uwe Mosegaard, Henrik Nielsen, Einar Eg Reusch, Thorsten B.H. Storr-Paulsen, Marie Velasco, Andres Von Dewitz, Burkhard Dierking, Jan Eero, Margit |
author_sort |
Hemmer-Hansen, Jakob |
title |
Data from: Genetic analyses reveal complex dynamics within a marine fish management area |
title_short |
Data from: Genetic analyses reveal complex dynamics within a marine fish management area |
title_full |
Data from: Genetic analyses reveal complex dynamics within a marine fish management area |
title_fullStr |
Data from: Genetic analyses reveal complex dynamics within a marine fish management area |
title_full_unstemmed |
Data from: Genetic analyses reveal complex dynamics within a marine fish management area |
title_sort |
data from: genetic analyses reveal complex dynamics within a marine fish management area |
publisher |
Dryad |
publishDate |
2018 |
url |
https://doi.org/10.5061/dryad.83765sm |
genre |
atlantic cod Gadus morhua |
genre_facet |
atlantic cod Gadus morhua |
op_source |
10.5061/dryad.83765sm oai:easy.dans.knaw.nl:easy-dataset:119700 oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:119700 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 re3data_____::r3d100000044 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c |
op_relation |
http://dx.doi.org/10.5061/dryad.83765sm https://dx.doi.org/10.5061/dryad.83765sm |
op_rights |
lic_creative-commons |
op_doi |
https://doi.org/10.5061/dryad.83765sm |
_version_ |
1766357620977827840 |