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A novel SNP-based tool for estimating C-lineage introgression in the dark honey bee (Apis mellifera mellifera)

dc.contributor.authorPinto, M. Alice
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.authorJonhston, J. Spencer
dc.contributor.authorMcCormack, Grace P.
dc.date.accessioned2018-10-09T10:00:25Z
dc.date.available2018-10-09T10:00:25Z
dc.date.issued2018
dc.description.abstractThe natural distribution ofthe honeybee (Apis mellifera L.) hás been changed by humans in recent decades to such an extent that the formerly widest-spread European subspecies, Apís 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 forthe fourassays combined (117 SNPs). The best compromise between accuracy ana 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 of introgression leveis to more effectively monitor and manage A. m. mellífera conservatories.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationPinto, M. Alice; Henriques, Dora; Browne, Keith A.; Barnett, Mark; Parejo, Melanie; Kryger, Per; Freeman, Tom C.; Muñoz, Irene; Garnery, Lionel; Highet, Fiona; Jonhston, J. Spencer; McCormack, Grace P.; Pinto, M. Alice (2018). A novel SNP-based tool for estimating C-lineage introgression in the dark honey bee (Apis mellifera mellifera). In SICAMM 2018 Dark Bee Conference. Mustiala, Finlandpt_PT
dc.identifier.urihttp://hdl.handle.net/10198/18025
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationBeeHope (ERA-NET 138573 - BiodivERsA/0002/2014)pt_PT
dc.subjectDark beept_PT
dc.subjectApis mellifera melliferapt_PT
dc.subjectReduced SNP assayspt_PT
dc.subjectIntrogressionpt_PT
dc.titleA novel SNP-based tool for estimating C-lineage introgression in the dark honey bee (Apis mellifera mellifera)pt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceMustiala, Finlandpt_PT
oaire.citation.titleSICAMM 2018 Dark Bee Conferencept_PT
person.familyNamePinto
person.familyNameHenriques
person.givenNameM. Alice
person.givenNameDora
person.identifier.ciencia-idF814-A1D0-8318
person.identifier.ciencia-id291F-986F-07DA
person.identifier.orcid0000-0001-9663-8399
person.identifier.orcid0000-0001-7530-682X
person.identifier.scopus-author-id8085507800
person.identifier.scopus-author-id55761737300
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication0667fe04-7078-483d-9198-56d167b19bc5
relation.isAuthorOfPublicationd2abd09f-a90c-4cfb-9a60-7fc32f56184d
relation.isAuthorOfPublication.latestForDiscoveryd2abd09f-a90c-4cfb-9a60-7fc32f56184d

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