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SNPs selected by information content outperform randomly selected microsatellite loci for delineating genetic identification and introgression in the endangered dark European honeybee (Apis mellifera mellifera)

dc.contributor.authorMuñoz, Irene
dc.contributor.authorHenriques, Dora
dc.contributor.authorJara, Laura
dc.contributor.authorJohnston, J. Spencer
dc.contributor.authorChávez-Galarza, Julio
dc.contributor.authorDe la Rúa, Pilar
dc.contributor.authorPinto, M. Alice
dc.date.accessioned2017-09-25T16:46:10Z
dc.date.available2017-09-25T16:46:10Z
dc.date.issued2017
dc.description.abstractThe honeybee (Apis mellifera) has been threatened by multiple factors including pests and pathogens, pesticidesand loss of locally adapted gene complexes due to replacement and introgression. In western Europe, the geneticintegrity of the native A. m. mellifera (M-lineage) is endangered due to trading and intensive queen breeding withcommercial subspecies of eastern European ancestry (C-lineage). Effective conservation actions require reliablemolecular tools to identify pure-bred A. m. mellifera colonies. Microsatellites have been preferred for identificationof A. m. mellifera stocks across conservation centres. However, owing to high throughput, easy transferabilitybetween laboratories and low genotyping error, SNPs promise to become popular. Here, we compared the resolvingpower of a widely utilized microsatellite set to detect structure and introgression with that of different sets that com-bine a variable number of SNPs selected for their information content and genomic proximity to the microsatelliteloci. Contrary to every SNP data set, microsatellites did not discriminate between the two lineages in the PCA space.Mean introgression proportions were identical across the two marker types, although at the individual level,microsatellites’ performance was relatively poor at the upper range of Q-values, a result reflected by their lower pre-cision. Our results suggest that SNPs are more accurate and powerful than microsatellites for identification of A. m.mellifera colonies, especially when they are selected by information content.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSNPs selected by information content outperform randomly selected microsatellite loci for delineating genetic identification and introgression in the endangered dark European honeybee (Apis mellifera mellifera). Molecular Ecology Resources. ISSN 1755-098X. 17:4, p. 783-795pt_PT
dc.identifier.doi10.1111/1755-0998.12637pt_PT
dc.identifier.issn1755-098X
dc.identifier.urihttp://hdl.handle.net/10198/14546
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherWileypt_PT
dc.relationPOPULATION GENOMICS AND LANDSCAPE GENETICS OF THE IBERIAN HONEY BEE APIS MELLIFERA IBERIENSIS
dc.rights.urihttp://creativecommons.org/licenses/by-nd/4.0/pt_PT
dc.subjectApis mellifera melliferapt_PT
dc.subjectDark European honeybeept_PT
dc.subjectHoneybee conservationpt_PT
dc.subjectINtrogressionpt_PT
dc.subjectMicrosatellitespt_PT
dc.subjectSNPspt_PT
dc.titleSNPs selected by information content outperform randomly selected microsatellite loci for delineating genetic identification and introgression in the endangered dark European honeybee (Apis mellifera mellifera)pt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitlePOPULATION GENOMICS AND LANDSCAPE GENETICS OF THE IBERIAN HONEY BEE APIS MELLIFERA IBERIENSIS
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//SFRH%2FBD%2F68682%2F2010/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/SFRH/SFRH%2FBD%2F84195%2F2012/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876-PPCDTI/PTDC%2FBIA-BEC%2F099640%2F2008/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/BiodivERsA%2F0002%2F2014/PT
oaire.citation.endPage795pt_PT
oaire.citation.startPage783pt_PT
oaire.citation.titleMolecular Ecology Resourcespt_PT
oaire.citation.volume17pt_PT
oaire.fundingStreamSFRH
oaire.fundingStream5876-PPCDTI
oaire.fundingStream3599-PPCDT
person.familyNameHenriques
person.familyNamePinto
person.givenNameDora
person.givenNameMaria 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
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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relation.isAuthorOfPublication.latestForDiscovery0667fe04-7078-483d-9198-56d167b19bc5
relation.isProjectOfPublication3f79b629-25f2-4565-8654-9478f4d32dc7
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