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dc.contributor.authorHolman, Luke E.
dc.contributor.authorGarcia de la Serrana, Daniel
dc.contributor.authorOnoufriou, Aubrie
dc.contributor.authorHillestad, Borghild
dc.contributor.authorJohnston, Ian A.
dc.date.accessioned2018-04-04T23:34:00Z
dc.date.available2018-04-04T23:34:00Z
dc.date.issued2017-07-01
dc.identifier.citationHolman , L E , Garcia de la Serrana , D , Onoufriou , A , Hillestad , B & Johnston , I A 2017 , ' A workflow used to design low density SNP panels for parentage assignment and traceability in aquaculture species and its validation in Atlantic salmon ' Aquaculture , vol. 476 , pp. 59-64 . DOI: 10.1016/j.aquaculture.2017.04.001en
dc.identifier.issn0044-8486
dc.identifier.otherPURE: 249576748
dc.identifier.otherPURE UUID: fa16c074-7aeb-4a91-b16a-4f7a4f0fbbe9
dc.identifier.otherRIS: urn:95C666955EC66F5247985DEBC5234384
dc.identifier.otherScopus: 85017680145
dc.identifier.urihttp://hdl.handle.net/10023/13071
dc.descriptionThis project has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement No 654008.en
dc.description.abstractAccurate parentage assignment is key for the development of a successful breeding program, allowing pedigree reconstruction from mixed families and control of inbreeding. In the present study we developed a workflow for the design of an efficient single nucleotide polymorphism (SNP) panel for paternity assignment and validated it in Atlantic salmon (Salmo salar L.). A total of 86,468 SNPs were identified from Restriction Site Associated DNA Sequencing (RAD-seq) libraries, and reduced to 1517 following the application of quality control filters and stringent selection criteria. A subsample of SNPs were chosen for the design of high-throughput SNP assays and a training set of known parents and offspring was then used to achieve further filtering. A panel comprising 94 SNPs balanced across the salmon genome were identified, providing 100% assignment accuracy in known pedigrees. Additionally, the panel was able to assign individuals to one of three farmed salmon populations used in this study with 100% accuracy. We conclude that the workflow described is suitable for the design of cost effective parentage assignment and traceability tools for aquaculture species.en
dc.format.extent6en
dc.language.isoeng
dc.relation.ispartofAquacultureen
dc.rights© 2017 Elsevier Ltd. All rights reserved. This work has been made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1016/j.aquaculture.2017.04.001en
dc.subjectSNPen
dc.subjectParentage assignmenten
dc.subjectAtlantic salmonen
dc.subjectTraceabilityen
dc.subjectPedigreeen
dc.subjectWorkflowen
dc.subjectQH301 Biologyen
dc.subjectSH Aquaculture. Fisheries. Anglingen
dc.subjectDASen
dc.subject.lccQH301en
dc.subject.lccSHen
dc.titleA workflow used to design low density SNP panels for parentage assignment and traceability in aquaculture species and its validation in Atlantic salmonen
dc.typeJournal articleen
dc.description.versionPostprinten
dc.contributor.institutionUniversity of St Andrews. School of Biologyen
dc.contributor.institutionUniversity of St Andrews. Scottish Oceans Instituteen
dc.contributor.institutionUniversity of St Andrews. Marine Alliance for Science & Technology Scotlanden
dc.contributor.institutionUniversity of St Andrews. Centre for Research into Ecological & Environmental Modellingen
dc.identifier.doihttps://doi.org/10.1016/j.aquaculture.2017.04.001
dc.description.statusPeer revieweden
dc.date.embargoedUntil04-04-20


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