Genetic stock identification of Atlantic salmon and its evaluation in a large population complex
Addressing biocomplexity in fisheries management is a challenge requiring an ability to differentiate among distinct populations contributing to fisheries. We produced extensive genetic baseline data involving 36 sampling locations and 33 microsatellite markers, which allowed characterization of the...
Published in: | Canadian Journal of Fisheries and Aquatic Sciences |
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crcansciencepubl:10.1139/cjfas-2015-0606 2024-09-15T17:56:07+00:00 Genetic stock identification of Atlantic salmon and its evaluation in a large population complex Vähä, Juha-Pekka Erkinaro, Jaakko Falkegård, Morten Orell, Panu Niemelä, Eero 2017 http://dx.doi.org/10.1139/cjfas-2015-0606 http://www.nrcresearchpress.com/doi/full-xml/10.1139/cjfas-2015-0606 http://www.nrcresearchpress.com/doi/pdf/10.1139/cjfas-2015-0606 en eng Canadian Science Publishing http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining Canadian Journal of Fisheries and Aquatic Sciences volume 74, issue 3, page 327-338 ISSN 0706-652X 1205-7533 journal-article 2017 crcansciencepubl https://doi.org/10.1139/cjfas-2015-0606 2024-08-29T04:08:48Z Addressing biocomplexity in fisheries management is a challenge requiring an ability to differentiate among distinct populations contributing to fisheries. We produced extensive genetic baseline data involving 36 sampling locations and 33 microsatellite markers, which allowed characterization of the genetic structure and diversity in a large Atlantic salmon (Salmo salar) population complex of the River Teno system, northernmost Europe. Altogether, we identified 28 hierarchically structured and genetically distinct population segments (global F ST = 0.065) corresponding exceptionally well with their geographical locations. An assessment of factors affecting the stock identification accuracy indicated that the identification success is largely defined by the interaction of genetic divergence and the baseline sample sizes. The choice between the two statistical methods tested for performance in genetic stock identification, ONCOR and cBAYES, was not critical, albeit the latter demonstrated slightly higher identification accuracy and lower sensitivity to population composition of the mixture sample. The strong genetic structuring among populations together with a powerful marker system allowed for accurate stock identification of individuals and enabled assessment of stock compositions contributing to mixed-stock fisheries. Article in Journal/Newspaper Atlantic salmon Salmo salar Canadian Science Publishing Canadian Journal of Fisheries and Aquatic Sciences 74 3 327 338 |
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Open Polar |
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Canadian Science Publishing |
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crcansciencepubl |
language |
English |
description |
Addressing biocomplexity in fisheries management is a challenge requiring an ability to differentiate among distinct populations contributing to fisheries. We produced extensive genetic baseline data involving 36 sampling locations and 33 microsatellite markers, which allowed characterization of the genetic structure and diversity in a large Atlantic salmon (Salmo salar) population complex of the River Teno system, northernmost Europe. Altogether, we identified 28 hierarchically structured and genetically distinct population segments (global F ST = 0.065) corresponding exceptionally well with their geographical locations. An assessment of factors affecting the stock identification accuracy indicated that the identification success is largely defined by the interaction of genetic divergence and the baseline sample sizes. The choice between the two statistical methods tested for performance in genetic stock identification, ONCOR and cBAYES, was not critical, albeit the latter demonstrated slightly higher identification accuracy and lower sensitivity to population composition of the mixture sample. The strong genetic structuring among populations together with a powerful marker system allowed for accurate stock identification of individuals and enabled assessment of stock compositions contributing to mixed-stock fisheries. |
format |
Article in Journal/Newspaper |
author |
Vähä, Juha-Pekka Erkinaro, Jaakko Falkegård, Morten Orell, Panu Niemelä, Eero |
spellingShingle |
Vähä, Juha-Pekka Erkinaro, Jaakko Falkegård, Morten Orell, Panu Niemelä, Eero Genetic stock identification of Atlantic salmon and its evaluation in a large population complex |
author_facet |
Vähä, Juha-Pekka Erkinaro, Jaakko Falkegård, Morten Orell, Panu Niemelä, Eero |
author_sort |
Vähä, Juha-Pekka |
title |
Genetic stock identification of Atlantic salmon and its evaluation in a large population complex |
title_short |
Genetic stock identification of Atlantic salmon and its evaluation in a large population complex |
title_full |
Genetic stock identification of Atlantic salmon and its evaluation in a large population complex |
title_fullStr |
Genetic stock identification of Atlantic salmon and its evaluation in a large population complex |
title_full_unstemmed |
Genetic stock identification of Atlantic salmon and its evaluation in a large population complex |
title_sort |
genetic stock identification of atlantic salmon and its evaluation in a large population complex |
publisher |
Canadian Science Publishing |
publishDate |
2017 |
url |
http://dx.doi.org/10.1139/cjfas-2015-0606 http://www.nrcresearchpress.com/doi/full-xml/10.1139/cjfas-2015-0606 http://www.nrcresearchpress.com/doi/pdf/10.1139/cjfas-2015-0606 |
genre |
Atlantic salmon Salmo salar |
genre_facet |
Atlantic salmon Salmo salar |
op_source |
Canadian Journal of Fisheries and Aquatic Sciences volume 74, issue 3, page 327-338 ISSN 0706-652X 1205-7533 |
op_rights |
http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining |
op_doi |
https://doi.org/10.1139/cjfas-2015-0606 |
container_title |
Canadian Journal of Fisheries and Aquatic Sciences |
container_volume |
74 |
container_issue |
3 |
container_start_page |
327 |
op_container_end_page |
338 |
_version_ |
1810432330006790144 |