Complex pattern of genetic structuring in the Atlantic salmon (Salmo salar L.) of the River Foyle system in northwest Ireland: disentangling the evolutionary signal from population stochasticity

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dc.contributor.author Ensing, Dennis
dc.contributor.author Prodöhl, Paulo A.
dc.contributor.author McGinnity, Philip
dc.contributor.author Boylan, Patrick
dc.contributor.author O'Maoiléidigh, Niall
dc.contributor.author Crozier, Walter W.
dc.date.accessioned 2018-03-27T10:47:07Z
dc.date.available 2018-03-27T10:47:07Z
dc.date.issued 2011-11
dc.identifier.citation Ensing, D., Prodöhl, P. A., McGinnity, P., Boylan, P., O’Maoiléidigh, N. and Crozier, W. W. (2011) 'Complex pattern of genetic structuring in the Atlantic salmon (Salmo salar L.) of the River Foyle system in northwest Ireland: disentangling the evolutionary signal from population stochasticity', Ecology and Evolution, 1(3), pp. 359-372. doi:10.1002/ece3.32 en
dc.identifier.volume 1 en
dc.identifier.issued 3 en
dc.identifier.startpage 359 en
dc.identifier.endpage 372 en
dc.identifier.issn 2045-7758
dc.identifier.uri http://hdl.handle.net/10468/5696
dc.identifier.doi 10.1002/ece3.32
dc.description.abstract Little is known about the microevolutionary processes shaping within river population genetic structure of aquatic organisms characterized by high levels of homing and spawning site fidelity. Using a microsatellite panel, we observed complex and highly significant levels of intrariver population genetic substructure and Isolation-by-Distance, in the Atlantic salmon stock of a large river system. Two evolutionary models have been considered explaining mechanisms promoting genetic substructuring in Atlantic salmon, the member-vagrant and metapopulation models. We show that both models can be simultaneously used to explain patterns and levels of population structuring within the Foyle system. We show that anthropogenic factors have had a large influence on contemporary population structure observed. In an analytical development, we found that the frequently used estimator of genetic differentiation, F-ST, routinely underestimated genetic differentiation by a factor three to four compared to the equivalent statistic Jost's D-est (Jost 2008). These statistics also showed a near-perfect correlation. Despite ongoing discussions regarding the usefulness of "adjusted" F-ST statistics, we argue that these could be useful to identify and quantify qualitative differences between populations, which are important from management and conservation perspectives as an indicator of existence of biologically significant variation among tributary populations or a warning of critical environmental damage. en
dc.description.sponsorship Marine Institute (Beaufort Marine Research Award) en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Blackwell Publishing Ltd. en
dc.rights © 2011, the Authors. Published by Blackwell Publishing Ltd. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. en
dc.rights.uri https://creativecommons.org/licenses/by-nc/4.0/ en
dc.subject Anthropogenically induced genetic changes en
dc.subject Isolation-by-Distance en
dc.subject Metapopulation and member-vagrant models en
dc.subject Salmo salar en
dc.subject Within-river population structure en
dc.title Complex pattern of genetic structuring in the Atlantic salmon (Salmo salar L.) of the River Foyle system in northwest Ireland: disentangling the evolutionary signal from population stochasticity en
dc.type Article (peer-reviewed) en
dc.internal.authorcontactother Philip Mcginnity, School Of Bio, Earth & Env, University College Cork, Cork, Ireland. +353-21-490-3000 Email: p.mcginnity@ucc.ie en
dc.internal.availability Full text available en
dc.date.updated 2018-03-14T12:34:41Z
dc.description.version Published Version en
dc.internal.rssid 348785050
dc.internal.wokid WOS:000312441000008
dc.contributor.funder Marine Institute en
dc.contributor.funder Loughs Agency, Northern Ireland
dc.description.status Peer reviewed en
dc.identifier.journaltitle Ecology and Evolution en
dc.internal.copyrightchecked Yes en
dc.internal.licenseacceptance Yes en
dc.internal.IRISemailaddress P.McGinnity@ucc.ie en


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© 2011, the Authors. Published by Blackwell Publishing Ltd. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. Except where otherwise noted, this item's license is described as © 2011, the Authors. Published by Blackwell Publishing Ltd. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
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