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Introgression levels of the Italian and carniolan honey bee subspecies into the black honey bee: a comparison between microsatellite and single nucleotide polymorphism (SNP) markers

dc.contributor.authorHenriques, Dora
dc.contributor.authorJara, Laura
dc.contributor.authorChávez-Galarza, Julio
dc.contributor.authorRufino, José
dc.contributor.authorDe la Rúa, Pilar
dc.contributor.authorPinto, M. Alice
dc.date.accessioned2013-10-28T11:17:27Z
dc.date.available2013-10-28T11:17:27Z
dc.date.issued2013
dc.description.abstractHuman activities have been shaping the distribution of honey bee (Apis mellifera) subspecies in Europe. In fact, during the last decades there has been an extensive introduction of the beekeepers’ favorite eastern European (lineage C) subspecies A. m. ligustica (Italian honey bee) and A. m. carnica (carniolan honey bee) into western Europe. Resulting from these introductions, there has been gene flow, and in some regions even replacement, of the native western European subspecies A. m. mellifera (black honey bee), which belongs to lineage M. Assessing levels of introgression is an important activity in breeding programs, especially when conservation of native subspecies is a major concern. Previous surveys of the A. m. mellifera populations estimated the introgression of lineage C into lineage M honey bees by using mtDNA and microsatellite markers. In addition to these markers others, such as SNPs, can be used. SNPs have some advantages over other molecular markers as they provide a genome wide coverage, higher quality data, and at the same time they are suitable for automatic and standardization in high throughput technologies. Previous studies indicate that the discriminatory power of SNPs to detect population structure is lower than that of microsatellites; about 100 SNPs are needed to provide the same power of 10-20 microsatellites. In this study we will compare introgression levels between microsatellites and SNPs as estimated by the software STRUCTURE using the admixture model and correlated allele frequencies in a black honey bee collection originating from several countries across western Europe. This collection was genotyped for 12 microsatellites and 1183 SNPs. The introgression levels were first estimated using both full datasets. Then, to have similar discriminatory power between the 12 microsatellite and SNPs, we used between 120 and 240 SNP loci from the initial 1183 SNP dataset by selecting SNPs located nearby the microsatellite loci. With this work we want to verify which is the best strategy for assessing the levels of introgression in honey bee breeding programs.por
dc.description.sponsorshipFundação para a Ciência e Tecnologiapor
dc.identifier.citationHenriques, Dora; Jara, Laura; Chavez-Galarza, Julio; Rufino, José; De la Rúa, Pilar; Pinto, M. Alice (2013). Introgression levels of the Italian and carniolan honey bee subspecies into the black honey bee: a comparison between microsatellite and single nucleotide polymorphism (SNP) markers. In Congress of the European Society for Evolutionary Biology. Lisboapor
dc.identifier.urihttp://hdl.handle.net/10198/8943
dc.language.isoengpor
dc.peerreviewedyespor
dc.subjectSNPspor
dc.subjectMicrosatellitespor
dc.subjectHoney beepor
dc.subjectC-lineage introgressionpor
dc.titleIntrogression levels of the Italian and carniolan honey bee subspecies into the black honey bee: a comparison between microsatellite and single nucleotide polymorphism (SNP) markerspor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceLisboa, Portugalpor
oaire.citation.titleCongress of the European Society for Evolutionary Biologypor
person.familyNameHenriques
person.familyNameRufino
person.familyNamePinto
person.givenNameDora
person.givenNameJosé
person.givenNameMaria Alice
person.identifier.ciencia-id291F-986F-07DA
person.identifier.ciencia-idC414-F47F-6323
person.identifier.ciencia-idF814-A1D0-8318
person.identifier.orcid0000-0001-7530-682X
person.identifier.orcid0000-0002-1344-8264
person.identifier.orcid0000-0001-9663-8399
person.identifier.scopus-author-id55761737300
person.identifier.scopus-author-id55947199100
person.identifier.scopus-author-id8085507800
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublicationd2abd09f-a90c-4cfb-9a60-7fc32f56184d
relation.isAuthorOfPublication1e24d2ce-a354-442a-bef8-eebadd94b385
relation.isAuthorOfPublication0667fe04-7078-483d-9198-56d167b19bc5
relation.isAuthorOfPublication.latestForDiscovery0667fe04-7078-483d-9198-56d167b19bc5

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