Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/26622
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dc.contributor.authorJacobs, Arneen_UK
dc.contributor.authorDe Noia, Micheleen_UK
dc.contributor.authorPraebel, Kimen_UK
dc.contributor.authorKanstad-Hanssen, Oyvinden_UK
dc.contributor.authorPaterno, Martaen_UK
dc.contributor.authorJackson, Daveen_UK
dc.contributor.authorMcGinnity, Philipen_UK
dc.contributor.authorMcGinnity, Philipen_UK
dc.contributor.authorSturm, Arminen_UK
dc.contributor.authorElmer, Kathryn Ren_UK
dc.contributor.authorLlewellyn, Martin Sen_UK
dc.date.accessioned2018-02-10T23:13:59Z-
dc.date.available2018-02-10T23:13:59Z-
dc.date.issued2018-01-19en_UK
dc.identifier.other1203en_UK
dc.identifier.urihttp://hdl.handle.net/1893/26622-
dc.description.abstractCaligid sea lice represent a significant threat to salmonid aquaculture worldwide. Population genetic analyses have consistently shown minimal population genetic structure in North Atlantic Lepeophtheirus salmonis, frustrating efforts to track louse populations and improve targeted control measures. The aim of this study was to test the power of reduced representation library sequencing (IIb-RAD sequencing) coupled with random forest machine learning algorithms to define markers for fine-scale discrimination of louse populations. We identified 1286 robustly supported SNPs among four L. salmonis populations from Ireland, Scotland and Northern Norway. Only weak global structure was observed based on the full SNP dataset. The application of a random forest machine-learning algorithm identified 98 discriminatory SNPs that dramatically improved population assignment, increased global genetic structure and resulted in significant genetic population differentiation. A large proportion of SNPs found to be under directional selection were also identified to be highly discriminatory. Our data suggest that it is possible to discriminate between nearby L. salmonis populations given suitable marker selection approaches, and that such differences might have an adaptive basis. We discuss these data in light of sea lice adaption to anthropogenic and environmental pressures as well as novel approaches to track and predict sea louse dispersal.en_UK
dc.language.isoenen_UK
dc.publisherSpringer Natureen_UK
dc.relationJacobs A, De Noia M, Praebel K, Kanstad-Hanssen O, Paterno M, Jackson D, McGinnity P, McGinnity P, Sturm A, Elmer KR & Llewellyn MS (2018) Genetic fingerprinting of salmon louse (Lepeophtheirus salmonis) populations in the North-East Atlantic using a random forest classification approach. Scientific Reports, 8 (1), Art. No.: 1203. https://doi.org/10.1038/s41598-018-19323-zen_UK
dc.rightsThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.en_UK
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_UK
dc.subjectIchthyologyen_UK
dc.subjectPopulation geneticsen_UK
dc.titleGenetic fingerprinting of salmon louse (Lepeophtheirus salmonis) populations in the North-East Atlantic using a random forest classification approachen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1038/s41598-018-19323-zen_UK
dc.identifier.pmid29352185en_UK
dc.citation.jtitleScientific Reportsen_UK
dc.citation.issn2045-2322en_UK
dc.citation.volume8en_UK
dc.citation.issue1en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.contributor.funderBiotechnology and Biological Sciences Research Councilen_UK
dc.citation.date19/01/2018en_UK
dc.contributor.affiliationUniversity of Glasgowen_UK
dc.contributor.affiliationUniversity of Glasgowen_UK
dc.contributor.affiliationThe Arctic University of Norwayen_UK
dc.contributor.affiliationFerskvannsbiologenen_UK
dc.contributor.affiliationUniversity of Paduaen_UK
dc.contributor.affiliationMarine Institute (Ireland)en_UK
dc.contributor.affiliationMarine Institute (Ireland)en_UK
dc.contributor.affiliationUniversity College Corken_UK
dc.contributor.affiliationInstitute of Aquacultureen_UK
dc.contributor.affiliationUniversity of Glasgowen_UK
dc.contributor.affiliationUniversity of Glasgowen_UK
dc.identifier.isiWOS:000422891000033en_UK
dc.identifier.scopusid2-s2.0-85040865317en_UK
dc.identifier.wtid500878en_UK
dc.contributor.orcid0000-0003-2632-1999en_UK
dc.date.accepted2017-12-17en_UK
dcterms.dateAccepted2017-12-17en_UK
dc.date.filedepositdate2018-02-05en_UK
dc.relation.funderprojectIdentifying molecular determinants of drug susceptibility in salmon lice (Lepeophtheirus salmonis)en_UK
dc.relation.funderrefBB/L022923/1en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorJacobs, Arne|en_UK
local.rioxx.authorDe Noia, Michele|en_UK
local.rioxx.authorPraebel, Kim|en_UK
local.rioxx.authorKanstad-Hanssen, Oyvind|en_UK
local.rioxx.authorPaterno, Marta|en_UK
local.rioxx.authorJackson, Dave|en_UK
local.rioxx.authorMcGinnity, Philip|en_UK
local.rioxx.authorMcGinnity, Philip|en_UK
local.rioxx.authorSturm, Armin|0000-0003-2632-1999en_UK
local.rioxx.authorElmer, Kathryn R|en_UK
local.rioxx.authorLlewellyn, Martin S|en_UK
local.rioxx.projectBB/L022923/1|Biotechnology and Biological Sciences Research Council|http://dx.doi.org/10.13039/501100000268en_UK
local.rioxx.freetoreaddate2018-02-05en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by/4.0/|2018-02-05|en_UK
local.rioxx.filenames41598-018-19323-z.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source2045-2322en_UK
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