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High sample throughput genotyping for estimating C-lineage introgression in the dark honeybee: An accurate and cost-effective SNP-based tool

2018Artigo científico Acesso aberto
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dc.contributor.authorHenriques, Dora
dc.contributor.authorBrowne, Keith A.
dc.contributor.authorBarnett, Mark W.
dc.contributor.authorParejo, Melanie
dc.contributor.authorKryger, Per
dc.contributor.authorFreeman, Tom C.
dc.contributor.authorMuñoz, Irene
dc.contributor.authorGarnery, Lionel
dc.contributor.authorHighet, Fiona
dc.contributor.authorJohnston, J. Spencer
dc.contributor.authorMcCormack, Grace P.
dc.contributor.authorPinto, M. Alice
dc.date.accessioned2018-02-19T10:00:00Z
dc.date.accessioned2018-07-31T15:22:34Z
dc.date.available2018-01-19T10:00:00Z
dc.date.available2018-07-31T15:22:34Z
dc.date.issued2018
dc.description.abstractThe natural distribution of the honeybee (Apis mellifera L.) has been changed by humans in recent decades to such an extent that the formerly widest-spread European subspecies, Apis mellifera mellifera, is threatened by extinction through introgression from highly divergent commercial strains in large tracts of its range. Conservation efforts for A. m. mellifera are underway in multiple European countries requiring reliable and cost-efficient molecular tools to identify purebred colonies. Here, we developed four ancestry-informative SNP assays for high sample throughput genotyping using the iPLEX Mass Array system. Our customized assays were tested on DNA from individual and pooled, haploid and diploid honeybee samples extracted from different tissues using a diverse range of protocols. The assays had a high genotyping success rate and yielded accurate genotypes. Performance assessed against whole-genome data showed that individual assays behaved well, although the most accurate introgression estimates were obtained for the four assays combined (117 SNPs). The best compromise between accuracy and genotyping costs was achieved when combining two assays (62 SNPs). We provide a ready-to-use cost-effective tool for accurate molecular identification and estimation o
dc.description.versioninfo:eu-repo/semantics/publishedVersionen_EN
dc.identifier.citationHenriques, Dora; Browne, Keith A.; Barnett, Mark W.; Parejo, Melanie; Kryger, Per; Freeman, Tom C.; Muñoz, Irene; Garnery, Lionel; Highet, Fiona; Jonhston, J. Spencer; McCormack, Grace P.; Pinto, M. Alice (2018). High sample throughput genotyping for estimating C-lineage introgression in the dark honeybee: An accurate and cost-effective SNP-based tool. Scientific Reports. ISSN 2045-2322. 8:1, p- 1-14en_EN
dc.identifier.doi10.1038/s41598-018-26932-1en_EN
dc.identifier.urihttp://hdl.handle.net/10198/10798
dc.language.isoeng
dc.peerreviewedyesen_EN
dc.titleHigh sample throughput genotyping for estimating C-lineage introgression in the dark honeybee: An accurate and cost-effective SNP-based toolen_EN
dc.typejournal article
dspace.entity.typePublication
person.familyNameHenriques
person.familyNamePinto
person.givenNameDora
person.givenNameM. Alice
person.identifier.ciencia-id291F-986F-07DA
person.identifier.ciencia-idF814-A1D0-8318
person.identifier.orcid0000-0001-7530-682X
person.identifier.orcid0000-0001-9663-8399
person.identifier.scopus-author-id55761737300
person.identifier.scopus-author-id8085507800
rcaap.rightsopenAccessen_EN
rcaap.typearticleen_EN
relation.isAuthorOfPublicationd2abd09f-a90c-4cfb-9a60-7fc32f56184d
relation.isAuthorOfPublication0667fe04-7078-483d-9198-56d167b19bc5
relation.isAuthorOfPublication.latestForDiscoveryd2abd09f-a90c-4cfb-9a60-7fc32f56184d

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