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Empirical comparison of microsatellite and SNP markers to estimate introgression in Apis mellifera mellifera

dc.contributor.authorParejo, Melanie
dc.contributor.authorHenriques, Dora
dc.contributor.authorPinto, M. Alice
dc.contributor.authorSoland-Reckeweg, Gabriele
dc.contributor.authorNeuditschko, Markus
dc.date.accessioned2018-02-19T10:00:00Z
dc.date.accessioned2019-02-04T17:11:20Z
dc.date.available2018-01-19T10:00:00Z
dc.date.available2019-02-04T17:11:20Z
dc.date.issued2018
dc.description.abstractThe genetic identity of the dark European honey bee, Apis mellifera mellifera is currently under pressure throughout most of its native range due to large scale commercial trade and replacement with honey bees of mainly Eastern European ancestry (C-lineage: Apis mellifera carnica and Apis mellifera ligustica). To counteract this process, numerous conservation efforts for the protection of native honey bees are sprouting across Europe. For the management of such protected areas and conservation breeding purposes, honey bee subspecies have been routinely identified through wing morphology and through DNA-hybrid tests using microsatellite markers. Currently, new methods are evolving including rapid innovations in single-nucleotide polymorphism (SNP) array technology and high-throughput sequencing. Here, we aim to quantify potential marker-specific biases of hybrid tests and give recommendations for applications in honey bee conservation management. Using an empirical dataset, we first assessed the accuracy of a recently developed reduced SNP panel to estimate C-lineage introgression in A. m. mellifera compared to whole-genome sequence (WGS) data. Using another independent data set, we estimated the differences in admixture proportions between the currently applied hybrid test based on microsatellites and the novel SNP test. We demonstrate that the SNP-based test which contains highly ancestry-informative markers is very efficient to estimate genome-wide ancestry. Furthermore, we report discrepancies between microsatellite and SNP-based admixture proportions. For conservation management, we, therefore, recommend the implementation of SNP-based hybrid tests to maintain high genetic variation within the breeding population, while minimizing influence of introduced honey bees.en_EN
dc.description.sponsorshipThis work was supported by the Swiss Federal Office for Agriculture FOAG, the Fondation Sur-la-Croix, Basel, and by the 2013–2014 BiodivERsA/FACCE-JPI joint call for research proposals, with the national funders “Fundac¸ão para a Ciência e Tecnologia” (Portugal), “Agence Nationale de la Recherche” (France), and “Ministerio de Economía y Competividad” (Spain).
dc.description.versioninfo:eu-repo/semantics/publishedVersionen_EN
dc.identifier.citationParejo, Melanie; Henriques, Dora; Pinto, M. Alice; Soland-Reckeweg, Gabriele; Neuditschko, Markus (2018). Empirical comparison of microsatellite and SNP markers to estimate introgression in Apis mellifera mellifera. Journal of Apicultural Research. ISSN 0021-8839. 57, p. 504-506en_EN
dc.identifier.doi10.1080/00218839.2018.1494894en_EN
dc.identifier.issn0021-8839
dc.identifier.urihttp://hdl.handle.net/10198/18739
dc.language.isoeng
dc.peerreviewedyesen_EN
dc.subjectApis mellifera melliferaen_EN
dc.subjectConservationen_EN
dc.subjectIntrogressionen_EN
dc.subjectMicrosatellitesen_EN
dc.subjectSNPsen_EN
dc.titleEmpirical comparison of microsatellite and SNP markers to estimate introgression in Apis mellifera melliferaen_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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