Genetic stock identification of Atlantic salmon (Salmo salar) populations in the southern part of the European range

Background: Anadromous migratory fish species such as Atlantic salmon (Salmo salar) have significant economic, cultural and ecological importance, but present a complex case for management and conservation due to the range of their migration. Atlantic salmon exist in rivers across the North Atlantic...

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Published in:BMC Genetics
Main Authors: Griffiths, Andrew M., Machado-Schiaffino, Gonzalo, Dillane, Eileen, Coughlan, Jamie P., Horreo, Jose L., Bowkett, Andrew E., Minting, Peter, Toms, Simon, Roche, Willie, Gargan, Paddy, McGinnity, Philip, Cross, Thomas F., Bright, Dylan, Garcia-Vazquez, Eva, Stevens, Jamie R.
Format: Article in Journal/Newspaper
Language:English
Published: BioMed Central 2010
Subjects:
Online Access:http://hdl.handle.net/10468/5698
https://doi.org/10.1186/1471-2156-11-31
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spelling ftunivcollcork:oai:cora.ucc.ie:10468/5698 2023-08-27T04:08:27+02:00 Genetic stock identification of Atlantic salmon (Salmo salar) populations in the southern part of the European range Griffiths, Andrew M. Machado-Schiaffino, Gonzalo Dillane, Eileen Coughlan, Jamie P. Horreo, Jose L. Bowkett, Andrew E. Minting, Peter Toms, Simon Roche, Willie Gargan, Paddy McGinnity, Philip Cross, Thomas F. Bright, Dylan Garcia-Vazquez, Eva Stevens, Jamie R. 2010-04-29 application/pdf application/msword application/vnd.ms-excel http://hdl.handle.net/10468/5698 https://doi.org/10.1186/1471-2156-11-31 en eng BioMed Central Griffiths, A. M., Machado-Schiaffino, G., Dillane, E., Coughlan, J., Horreo, J. L., Bowkett, A. E., Minting, P., Toms, S., Roche, W., Gargan, P., McGinnity, P., Cross, T., Bright, D., Garcia-Vazquez, E. and Stevens, J. R. (2010) 'Genetic stock identification of Atlantic salmon (Salmo salar) populations in the southern part of the European range'. BMC Genetics, 11, 31(27pp). doi:10.1186/1471-2156-11-31 doi:10.1186/1471-2156-11-31 27 1471-2156 BMC Genetics 1 http://hdl.handle.net/10468/5698 11 © 2010, Griffiths et al. Licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/2.0 Monte Carlo Markov chain Atlantic salmon River catchment Baseline sample Reporting region Article (peer-reviewed) 2010 ftunivcollcork https://doi.org/10.1186/1471-2156-11-31 2023-08-06T14:31:52Z Background: Anadromous migratory fish species such as Atlantic salmon (Salmo salar) have significant economic, cultural and ecological importance, but present a complex case for management and conservation due to the range of their migration. Atlantic salmon exist in rivers across the North Atlantic, returning to their river of birth with a high degree of accuracy; however, despite continuing efforts and improvements in in-river conservation, they are in steep decline across their range. Salmon from rivers across Europe migrate along similar routes, where they have, historically, been subject to commercial netting. This mixed stock exploitation has the potential to devastate weak and declining populations where they are exploited indiscriminately. Despite various tagging and marking studies, the effect of marine exploitation and the marine element of the salmon lifecycle in general, remain the "black-box" of salmon management. In a number of Pacific salmonid species and in several regions within the range of the Atlantic salmon, genetic stock identification and mixed stock analysis have been used successfully to quantify exploitation rates and identify the natal origins of fish outside their home waters - to date this has not been attempted for Atlantic salmon in the south of their European range. Results: To facilitate mixed stock analysis (MSA) of Atlantic salmon, we have produced a baseline of genetic data for salmon populations originating from the largest rivers from Spain to northern Scotland, a region in which declines have been particularly marked. Using 12 microsatellites, 3,730 individual fish from 57 river catchments have been genotyped. Detailed patterns of population genetic diversity of Atlantic salmon at a sub-continent-wide level have been evaluated, demonstrating the existence of regional genetic signatures. Critically, these appear to be independent of more commonly recognised terrestrial biogeographical and political boundaries, allowing reporting regions to be defined. The implications of ... Article in Journal/Newspaper Atlantic salmon North Atlantic Salmo salar University College Cork, Ireland: Cork Open Research Archive (CORA) Pacific BMC Genetics 11 1 31
institution Open Polar
collection University College Cork, Ireland: Cork Open Research Archive (CORA)
op_collection_id ftunivcollcork
language English
topic Monte Carlo Markov chain
Atlantic salmon
River catchment
Baseline sample
Reporting region
spellingShingle Monte Carlo Markov chain
Atlantic salmon
River catchment
Baseline sample
Reporting region
Griffiths, Andrew M.
Machado-Schiaffino, Gonzalo
Dillane, Eileen
Coughlan, Jamie P.
Horreo, Jose L.
Bowkett, Andrew E.
Minting, Peter
Toms, Simon
Roche, Willie
Gargan, Paddy
McGinnity, Philip
Cross, Thomas F.
Bright, Dylan
Garcia-Vazquez, Eva
Stevens, Jamie R.
Genetic stock identification of Atlantic salmon (Salmo salar) populations in the southern part of the European range
topic_facet Monte Carlo Markov chain
Atlantic salmon
River catchment
Baseline sample
Reporting region
description Background: Anadromous migratory fish species such as Atlantic salmon (Salmo salar) have significant economic, cultural and ecological importance, but present a complex case for management and conservation due to the range of their migration. Atlantic salmon exist in rivers across the North Atlantic, returning to their river of birth with a high degree of accuracy; however, despite continuing efforts and improvements in in-river conservation, they are in steep decline across their range. Salmon from rivers across Europe migrate along similar routes, where they have, historically, been subject to commercial netting. This mixed stock exploitation has the potential to devastate weak and declining populations where they are exploited indiscriminately. Despite various tagging and marking studies, the effect of marine exploitation and the marine element of the salmon lifecycle in general, remain the "black-box" of salmon management. In a number of Pacific salmonid species and in several regions within the range of the Atlantic salmon, genetic stock identification and mixed stock analysis have been used successfully to quantify exploitation rates and identify the natal origins of fish outside their home waters - to date this has not been attempted for Atlantic salmon in the south of their European range. Results: To facilitate mixed stock analysis (MSA) of Atlantic salmon, we have produced a baseline of genetic data for salmon populations originating from the largest rivers from Spain to northern Scotland, a region in which declines have been particularly marked. Using 12 microsatellites, 3,730 individual fish from 57 river catchments have been genotyped. Detailed patterns of population genetic diversity of Atlantic salmon at a sub-continent-wide level have been evaluated, demonstrating the existence of regional genetic signatures. Critically, these appear to be independent of more commonly recognised terrestrial biogeographical and political boundaries, allowing reporting regions to be defined. The implications of ...
format Article in Journal/Newspaper
author Griffiths, Andrew M.
Machado-Schiaffino, Gonzalo
Dillane, Eileen
Coughlan, Jamie P.
Horreo, Jose L.
Bowkett, Andrew E.
Minting, Peter
Toms, Simon
Roche, Willie
Gargan, Paddy
McGinnity, Philip
Cross, Thomas F.
Bright, Dylan
Garcia-Vazquez, Eva
Stevens, Jamie R.
author_facet Griffiths, Andrew M.
Machado-Schiaffino, Gonzalo
Dillane, Eileen
Coughlan, Jamie P.
Horreo, Jose L.
Bowkett, Andrew E.
Minting, Peter
Toms, Simon
Roche, Willie
Gargan, Paddy
McGinnity, Philip
Cross, Thomas F.
Bright, Dylan
Garcia-Vazquez, Eva
Stevens, Jamie R.
author_sort Griffiths, Andrew M.
title Genetic stock identification of Atlantic salmon (Salmo salar) populations in the southern part of the European range
title_short Genetic stock identification of Atlantic salmon (Salmo salar) populations in the southern part of the European range
title_full Genetic stock identification of Atlantic salmon (Salmo salar) populations in the southern part of the European range
title_fullStr Genetic stock identification of Atlantic salmon (Salmo salar) populations in the southern part of the European range
title_full_unstemmed Genetic stock identification of Atlantic salmon (Salmo salar) populations in the southern part of the European range
title_sort genetic stock identification of atlantic salmon (salmo salar) populations in the southern part of the european range
publisher BioMed Central
publishDate 2010
url http://hdl.handle.net/10468/5698
https://doi.org/10.1186/1471-2156-11-31
geographic Pacific
geographic_facet Pacific
genre Atlantic salmon
North Atlantic
Salmo salar
genre_facet Atlantic salmon
North Atlantic
Salmo salar
op_relation Griffiths, A. M., Machado-Schiaffino, G., Dillane, E., Coughlan, J., Horreo, J. L., Bowkett, A. E., Minting, P., Toms, S., Roche, W., Gargan, P., McGinnity, P., Cross, T., Bright, D., Garcia-Vazquez, E. and Stevens, J. R. (2010) 'Genetic stock identification of Atlantic salmon (Salmo salar) populations in the southern part of the European range'. BMC Genetics, 11, 31(27pp). doi:10.1186/1471-2156-11-31
doi:10.1186/1471-2156-11-31
27
1471-2156
BMC Genetics
1
http://hdl.handle.net/10468/5698
11
op_rights © 2010, Griffiths et al. Licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
http://creativecommons.org/licenses/by/2.0
op_doi https://doi.org/10.1186/1471-2156-11-31
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