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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

dc.contributor.authorHenriques, Dora
dc.contributor.authorBrowne, Keith
dc.contributor.authorBarnett, Mark
dc.contributor.authorParejo, Melanie
dc.contributor.authorKryger, Per
dc.contributor.authorFreeman, Tom
dc.contributor.authorMuñoz Gabaldón, Irene
dc.contributor.authorGarnery, Lionel
dc.contributor.authorHighet, Fiona
dc.contributor.authorJonhston, Spencer
dc.contributor.authorMcCormack, Grace
dc.contributor.authorPinto, Alice
dc.date.accessioned2024-01-31T18:15:53Z
dc.date.available2024-01-31T18:15:53Z
dc.date.issued2018
dc.descriptionJosé Rufino provided computational resources at the Polytechnic Institute of Bragança, Portugal. DH was supported by a PhD scholarship (SFRH/BD/84195/2012) from the Portuguese Science Foundation (FCT). KAB receives a PhD fellowship from the Irish Research Council. MP was supported by the Swiss Federal Office for Agriculture FOAG and the Fondation Sur-la-Croix, Basel. IM was supported by Saavedra Fajardo fellowship from the Fundación Séneca (20036/SF/16). MAP is a member of and receives support from the COST Action FA1307 (SUPER-B). Funding for genotyping of Irish honeybees was gratefully received from the Eva Crane Trust, the Native Irish Honeybee Society and the Department of Agriculture, Food and the Marine (16/GR/09). MB and TCF are funded by an Institute Strategic Grant from the Biotechnology and Biological Sciences Research Council (BBSRC) (BB/JO1446X/1). Financial support for this research was provided to MAP and LG by 2013–2014 BiodivERsA/FACCE-JPI joint call for research proposals, with the national funders FCT (Portugal), “Agence Nationale de la Recherche” (France), and “Ministério de Economia y Competividade” (Spain).
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 of introgression levels to more effectively monitor and manage A. m. mellifera conservatories.
dc.description.departmentDepto. de Biodiversidad, Ecología y Evolución
dc.description.facultyFac. de Ciencias Biológicas
dc.description.refereedTRUE
dc.description.sponsorshipPolytechnic Institute of Bragança
dc.description.sponsorshipMinisterio de Economía y Competitividad (España)
dc.description.sponsorshipBiotechnology and Biological Sciences Research Council
dc.description.sponsorshipAgence Nationale de la Recherche (France)
dc.description.sponsorshipMinisterio de Economía y Competitividad (España)
dc.description.statuspub
dc.identifier.citationHenriques, D., Browne, K.A., Barnett, M.W. et al. High sample throughput genotyping for estimating C-lineage introgression in the dark honeybee: an accurate and cost-effective SNP-based tool. Sci Rep 8, 8552 (2018). https://doi.org/10.1038/s41598-018-26932-1
dc.identifier.doi10.1038/s41598-018-26932-1
dc.identifier.issn2045-2322
dc.identifier.officialurlhttps://doi.org/10.1038/s41598-018-26932-1
dc.identifier.urihttps://hdl.handle.net/20.500.14352/97378
dc.journal.titleScientific Reports
dc.language.isoeng
dc.page.final14
dc.page.initial1
dc.publisherNature Research
dc.rightsAttribution 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject.cdu595.799
dc.subject.ucmInsectos
dc.subject.unesco2413 Biología de Insectos (Entomología)
dc.subject.unesco2409.03 Genética de Poblaciones
dc.titleHigh sample throughput genotyping for estimating C-lineage introgression in the dark honeybee: an accurate and cost-effective SNP-based tool
dc.typejournal article
dc.type.hasVersionVoR
dc.volume.number8
dspace.entity.typePublication
relation.isAuthorOfPublicationd6e116b9-d945-4043-835d-b7ae9d179730
relation.isAuthorOfPublication.latestForDiscoveryd6e116b9-d945-4043-835d-b7ae9d179730

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