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dc.contributor.authorJenkins, TL
dc.contributor.authorEllis, CD
dc.contributor.authorTriantafyllidis, A
dc.contributor.authorStevens, JR
dc.date.accessioned2019-08-27T11:59:07Z
dc.date.issued2019-07-29
dc.description.abstractResolving stock structure is crucial for fisheries conservation to ensure that the spatial implementation of management is commensurate with that of biological population units. To address this in the economically important European lobster (Homarus gammarus), genetic structure was explored across the species' range using a small panel of single nucleotide polymorphisms (SNPs) previously isolated from restriction-site-associated DNA sequencing; these SNPs were selected to maximize differentiation at a range of both broad and fine scales. After quality control and filtering, 1,278 lobsters from 38 sampling sites were genotyped at 79 SNPs. The results revealed a pronounced phylogeographic break between the Atlantic and Mediterranean basins, while structure within the Mediterranean was also apparent, partitioned between lobsters from the central Mediterranean and the Aegean Sea. In addition, a genetic cline across the north-east Atlantic was revealed using both putatively neutral and outlier SNPs, but the precise driver(s) of this clinal pattern—isolation by distance, secondary contact, selection across an environmental gradient, or a combination of these factors—remains undetermined. Putatively neutral markers differentiated lobsters from Oosterschelde, an estuary on the Dutch coast, a finding likely explained by past bottlenecks and limited gene flow with adjacent North Sea populations. Building on the findings of our spatial genetic analysis, we were able to test the accuracy of assigning lobsters at various spatial scales, including to basin of origin (Atlantic or Mediterranean), region of origin and sampling location. The predictive model assembled using 79 SNPs correctly assigned 99.7% of lobsters not used to build the model to their basin of origin, but accuracy decreased to region of origin and again to sampling location. These results are of direct relevance to managers of lobster fisheries and hatcheries, and provide the basis for a genetic tool for tracing the origin of European lobsters in the food supply chain.en_GB
dc.description.sponsorshipNatural Environment Research Council (NERC)en_GB
dc.description.sponsorshipNatural Englanden_GB
dc.description.sponsorshipUniversity of Exeteren_GB
dc.identifier.citationPublished online 29 July 2019en_GB
dc.identifier.doi10.1111/eva.12849
dc.identifier.grantnumberNE/L002434/1en_GB
dc.identifier.grantnumberPO 904130en_GB
dc.identifier.urihttp://hdl.handle.net/10871/38458
dc.language.isoenen_GB
dc.publisherWileyen_GB
dc.relation.urlhttps://doi.org/10.5061/dryad.2v1kr38en_GB
dc.rights© 2019 The Authors. Evolutionary Applications published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.en_GB
dc.subjectassignmenten_GB
dc.subjectconnectivityen_GB
dc.subjectfisheriesen_GB
dc.subjectFluidigm EP1en_GB
dc.subjectgenetic structureen_GB
dc.subjectlobsteren_GB
dc.subjectRAD sequencingen_GB
dc.subjectsingle nucleotide polymorphism (SNP)en_GB
dc.titleSingle nucleotide polymorphisms reveal a genetic cline across the north-east Atlantic and enable powerful population assignment in the European lobsteren_GB
dc.typeArticleen_GB
dc.date.available2019-08-27T11:59:07Z
dc.identifier.issn1752-4563
dc.descriptionThis is the final version. Available on open access from Wiley via the DOI in this recorden_GB
dc.descriptionData Availability Statement:: Data for this study are available at the Dryad Digital Repository: https://doi.org/10.5061/dryad.2v1kr38en_GB
dc.identifier.journalEvolutionary Applicationsen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2019-07-11
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2019-01-01
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2019-08-27T11:57:02Z
refterms.versionFCDVoR
refterms.dateFOA2019-08-27T11:59:10Z
refterms.panelAen_GB


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© 2019 The Authors. Evolutionary Applications published by John Wiley & Sons Ltd.

This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Except where otherwise noted, this item's licence is described as © 2019 The Authors. Evolutionary Applications published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.