Inferring Atlantic salmon post-smolt migration patterns using genetic assignment

Understanding migratory patterns is important for predicting and mitigating unwanted consequences of environmental change or anthropogenic challenges on vulnerable species. Wild Atlantic salmon undergo challenging migrations between freshwater and marine environments, and the numbers of salmon retur...

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Published in:Royal Society Open Science
Main Authors: Harvey, A. C., Quintela, M., Glover, K. A., Karlsen, Ø., Nilsen, R., Skaala, Ø., Sægrov, H., Kålås, S., Knutar, S., Wennevik, V.
Format: Text
Language:English
Published: The Royal Society 2019
Subjects:
Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6837218/
http://www.ncbi.nlm.nih.gov/pubmed/31824688
https://doi.org/10.1098/rsos.190426
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spelling ftpubmed:oai:pubmedcentral.nih.gov:6837218 2023-05-15T15:30:44+02:00 Inferring Atlantic salmon post-smolt migration patterns using genetic assignment Harvey, A. C. Quintela, M. Glover, K. A. Karlsen, Ø. Nilsen, R. Skaala, Ø. Sægrov, H. Kålås, S. Knutar, S. Wennevik, V. 2019-10-02 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6837218/ http://www.ncbi.nlm.nih.gov/pubmed/31824688 https://doi.org/10.1098/rsos.190426 en eng The Royal Society http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6837218/ http://www.ncbi.nlm.nih.gov/pubmed/31824688 http://dx.doi.org/10.1098/rsos.190426 © 2019 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited. CC-BY Biology (Whole Organism) Text 2019 ftpubmed https://doi.org/10.1098/rsos.190426 2019-12-15T01:14:56Z Understanding migratory patterns is important for predicting and mitigating unwanted consequences of environmental change or anthropogenic challenges on vulnerable species. Wild Atlantic salmon undergo challenging migrations between freshwater and marine environments, and the numbers of salmon returning to their natal rivers to reproduce have declined over several decades. Mortality from sea lice linked to fish farms within their seaward migration routes is proposed as a contributing factor to these declines. Here, we used 31 microsatellite markers to establish a genetic baseline for the main rivers in the Hardangerfjord, western Norway. Mixed stock analysis was used to assign Atlantic salmon post-smolts caught in trawls in 2013–2017 back to regional reporting units. Analyses demonstrated that individuals originating from rivers located in the inner region of the fjord arrived at the outer fjord later than individuals from middle and outer fjord rivers. Therefore, as post-smolts originating from inner rivers also have to migrate longer distances to exit the fjord, these data suggest that inner fjord populations are more likely to be at risk of mortality through aquaculture-produced sea lice, and other natural factors such as predation, than middle or outer fjord populations with earlier exit times and shorter journeys. These results will be used to calibrate models estimating mortality from sea lice on wild salmon for the regulation of the Norwegian aquaculture industry. Text Atlantic salmon PubMed Central (PMC) Norway Royal Society Open Science 6 10 190426
institution Open Polar
collection PubMed Central (PMC)
op_collection_id ftpubmed
language English
topic Biology (Whole Organism)
spellingShingle Biology (Whole Organism)
Harvey, A. C.
Quintela, M.
Glover, K. A.
Karlsen, Ø.
Nilsen, R.
Skaala, Ø.
Sægrov, H.
Kålås, S.
Knutar, S.
Wennevik, V.
Inferring Atlantic salmon post-smolt migration patterns using genetic assignment
topic_facet Biology (Whole Organism)
description Understanding migratory patterns is important for predicting and mitigating unwanted consequences of environmental change or anthropogenic challenges on vulnerable species. Wild Atlantic salmon undergo challenging migrations between freshwater and marine environments, and the numbers of salmon returning to their natal rivers to reproduce have declined over several decades. Mortality from sea lice linked to fish farms within their seaward migration routes is proposed as a contributing factor to these declines. Here, we used 31 microsatellite markers to establish a genetic baseline for the main rivers in the Hardangerfjord, western Norway. Mixed stock analysis was used to assign Atlantic salmon post-smolts caught in trawls in 2013–2017 back to regional reporting units. Analyses demonstrated that individuals originating from rivers located in the inner region of the fjord arrived at the outer fjord later than individuals from middle and outer fjord rivers. Therefore, as post-smolts originating from inner rivers also have to migrate longer distances to exit the fjord, these data suggest that inner fjord populations are more likely to be at risk of mortality through aquaculture-produced sea lice, and other natural factors such as predation, than middle or outer fjord populations with earlier exit times and shorter journeys. These results will be used to calibrate models estimating mortality from sea lice on wild salmon for the regulation of the Norwegian aquaculture industry.
format Text
author Harvey, A. C.
Quintela, M.
Glover, K. A.
Karlsen, Ø.
Nilsen, R.
Skaala, Ø.
Sægrov, H.
Kålås, S.
Knutar, S.
Wennevik, V.
author_facet Harvey, A. C.
Quintela, M.
Glover, K. A.
Karlsen, Ø.
Nilsen, R.
Skaala, Ø.
Sægrov, H.
Kålås, S.
Knutar, S.
Wennevik, V.
author_sort Harvey, A. C.
title Inferring Atlantic salmon post-smolt migration patterns using genetic assignment
title_short Inferring Atlantic salmon post-smolt migration patterns using genetic assignment
title_full Inferring Atlantic salmon post-smolt migration patterns using genetic assignment
title_fullStr Inferring Atlantic salmon post-smolt migration patterns using genetic assignment
title_full_unstemmed Inferring Atlantic salmon post-smolt migration patterns using genetic assignment
title_sort inferring atlantic salmon post-smolt migration patterns using genetic assignment
publisher The Royal Society
publishDate 2019
url http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6837218/
http://www.ncbi.nlm.nih.gov/pubmed/31824688
https://doi.org/10.1098/rsos.190426
geographic Norway
geographic_facet Norway
genre Atlantic salmon
genre_facet Atlantic salmon
op_relation http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6837218/
http://www.ncbi.nlm.nih.gov/pubmed/31824688
http://dx.doi.org/10.1098/rsos.190426
op_rights © 2019 The Authors.
http://creativecommons.org/licenses/by/4.0/
Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
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op_doi https://doi.org/10.1098/rsos.190426
container_title Royal Society Open Science
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