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A microsatellite baseline for genetic stock identification of European Atlantic salmon (Salmo salar L.)

John Gilbey, Jamie Coughlan, Vidar Wennevik, Paulo Prodöhl, Jamie R Stevens, Carlos Garcia De Leaniz Orcid Logo, Dennis Ensing, Eef Cauwelier, Corrine Cherbonnel, Sofia Consuegra, Mark W Coulson, Tom F Cross, Walter Crozier, Eileen Dillane, Jonathan S Ellis, Eva García-Vázquez, Andrew M Griffiths, Sigurdur Gudjonsson, Kjetil Hindar, Sten Karlsson, David Knox, Gonzalo Machado-Schiaffino, Dorte Meldrup, Einar Eg Nielsen, Kristinn Ólafsson, Craig R Primmer, Sergey Prusov, Lee Stradmeyer, Juha-Pekka Vähä, Alexey Je Veselov, Lucy M I Webster, Philip McGinnity, Eric Verspoor, Sofia Consuegra del Olmo Orcid Logo

ICES Journal of Marine Science, Volume: 75, Issue: 2, Pages: 662 - 674

Swansea University Authors: Carlos Garcia De Leaniz Orcid Logo, Sofia Consuegra del Olmo Orcid Logo

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DOI (Published version): 10.1093/icesjms/fsx184

Abstract

Atlantic salmon (Salmo salar L.) populations from different river origins mix in the North Atlantic during the marine life stage. To facilitate marine stock identification, we developed a genetic baseline covering the European component of the species’ range excluding the Baltic Sea, from the Russia...

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Published in: ICES Journal of Marine Science
ISSN: 1054-3139 1095-9289
Published: 2018
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa39533
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Abstract: Atlantic salmon (Salmo salar L.) populations from different river origins mix in the North Atlantic during the marine life stage. To facilitate marine stock identification, we developed a genetic baseline covering the European component of the species’ range excluding the Baltic Sea, from the Russian River Megra in the north-east, the Icelandic Ellidaar in the west, and the Spanish Ulla in the south, spanning 3737 km North to South and 2717 km East to West. The baseline encompasses data for 14 microsatellites for 26 822 individual fish from 13 countries, 282 rivers, and 467 sampling sites. A hierarchy of regional genetic assignment units was defined using a combination of distance-based and Bayesian clustering. At the top level, three assignment units were identified comprising northern, southern, and Icelandic regions. A second assignment level was also defined, comprising eighteen and twenty-nine regional units for accurate individual assignment and mixed stock estimates respectively. The baseline provides the most comprehensive geographical coverage for an Atlantic salmon genetic data-set, and a unique resource for the conservation and management of the species in Europe. It is freely available to researchers to facilitate identification of the natal origin of European salmon.
Keywords: Atlantic salmon, genetic stock identification, individual assignment, marine ecology, microsatellites.
College: Faculty of Science and Engineering
Issue: 2
Start Page: 662
End Page: 674