Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/32076
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dc.contributor.authorGutierrez, Alejandro Pen_UK
dc.contributor.authorTurner, Francesen_UK
dc.contributor.authorGharbi, Karimen_UK
dc.contributor.authorTalbot, Richarden_UK
dc.contributor.authorLowe, Natalie Ren_UK
dc.contributor.authorPeñaloza, Carolinaen_UK
dc.contributor.authorMcCullough, Marken_UK
dc.contributor.authorProdöhl, Paulo Aen_UK
dc.contributor.authorBean, Tim Pen_UK
dc.contributor.authorHouston, Ross Den_UK
dc.date.accessioned2020-12-12T01:04:31Z-
dc.date.available2020-12-12T01:04:31Z-
dc.date.issued2017-07en_UK
dc.identifier.urihttp://hdl.handle.net/1893/32076-
dc.description.abstractSNP arrays are enabling tools for high-resolution studies of the genetic basis of complex traits in farmed and wild animals. Oysters are of critical importance in many regions from both an ecological and economic perspective, and oyster aquaculture forms a key component of global food security. The aim of our study was to design a combined-species, medium density SNP array for Pacific oyster (Crassostrea gigas) and European flat oyster (Ostrea edulis), and to test the performance of this array on farmed and wild populations from multiple locations, with a focus on European populations. SNP discovery was carried out by whole-genome sequencing (WGS) of pooled genomic DNA samples from eight C. gigas populations, and restriction site-associated DNA sequencing (RAD-Seq) of 11 geographically diverse O. edulis populations. Nearly 12 million candidate SNPs were discovered and filtered based on several criteria, including preference for SNPs segregating in multiple populations and SNPs with monomorphic flanking regions. An Affymetrix Axiom Custom Array was created and tested on a diverse set of samples (n = 219) showing ∼27 K high quality SNPs for C. gigas and ∼11 K high quality SNPs for O. edulis segregating in these populations. A high proportion of SNPs were segregating in each of the populations, and the array was used to detect population structure and levels of linkage disequilibrium (LD). Further testing of the array on three C. gigas nuclear families (n = 165) revealed that the array can be used to clearly distinguish between both families based on identity-by-state (IBS) clustering parental assignment software. This medium density, combined-species array will be publicly available through Affymetrix, and will be applied for genome-wide association and evolutionary genetic studies, and for genomic selection in oyster breeding programs.en_UK
dc.language.isoenen_UK
dc.publisherGenetics Society of Americaen_UK
dc.relationGutierrez AP, Turner F, Gharbi K, Talbot R, Lowe NR, Peñaloza C, McCullough M, Prodöhl PA, Bean TP & Houston RD (2017) Development of a Medium Density Combined-Species SNP Array for Pacific and European Oysters (Crassostrea gigas and Ostrea edulis). G3: Genes|Genomes|Genetics, 7 (7), pp. 2209-2218. https://doi.org/10.1534/g3.117.041780en_UK
dc.rightsCopyright © 2017 Gutierrez et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en_UK
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_UK
dc.subjectPacific Oysteren_UK
dc.subjectFlat Oysteren_UK
dc.subjectSingle Nucleotide Polymorphism (SNP)en_UK
dc.subjectArrayen_UK
dc.subjectAquacultureen_UK
dc.titleDevelopment of a Medium Density Combined-Species SNP Array for Pacific and European Oysters (Crassostrea gigas and Ostrea edulis)en_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1534/g3.117.041780en_UK
dc.identifier.pmid28533337en_UK
dc.citation.jtitleG3: Genes Genomes Geneticsen_UK
dc.citation.issn2160-1836en_UK
dc.citation.issn2160-1836en_UK
dc.citation.volume7en_UK
dc.citation.issue7en_UK
dc.citation.spage2209en_UK
dc.citation.epage2218en_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.date22/05/2017en_UK
dc.contributor.affiliationRoslin Instituteen_UK
dc.contributor.affiliationUniversity of Edinburghen_UK
dc.contributor.affiliationUniversity of Edinburghen_UK
dc.contributor.affiliationUniversity of Edinburghen_UK
dc.contributor.affiliationUniversity of Edinburghen_UK
dc.contributor.affiliationUniversity of Edinburghen_UK
dc.contributor.affiliationQueen's University Belfasten_UK
dc.contributor.affiliationQueen's University Belfasten_UK
dc.contributor.affiliationCEFAS - Centre for Environment, Fisheries and Aquaculture Scienceen_UK
dc.contributor.affiliationUniversity of Edinburghen_UK
dc.identifier.isiWOS:000404991600018en_UK
dc.identifier.scopusid2-s2.0-85021834364en_UK
dc.identifier.wtid1685010en_UK
dc.date.accepted2017-05-06en_UK
dcterms.dateAccepted2017-05-06en_UK
dc.date.filedepositdate2020-12-11en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorGutierrez, Alejandro P|en_UK
local.rioxx.authorTurner, Frances|en_UK
local.rioxx.authorGharbi, Karim|en_UK
local.rioxx.authorTalbot, Richard|en_UK
local.rioxx.authorLowe, Natalie R|en_UK
local.rioxx.authorPeñaloza, Carolina|en_UK
local.rioxx.authorMcCullough, Mark|en_UK
local.rioxx.authorProdöhl, Paulo A|en_UK
local.rioxx.authorBean, Tim P|en_UK
local.rioxx.authorHouston, Ross D|en_UK
local.rioxx.projectProject ID unknown|Biotechnology and Biological Sciences Research Council|http://dx.doi.org/10.13039/501100000268en_UK
local.rioxx.freetoreaddate2020-12-11en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by/4.0/|2020-12-11|en_UK
local.rioxx.filename2209.full.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source2160-1836en_UK
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