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Evaluating the performance of a variable number of SNPs for genetic identification and introgression analysis in the dark honey bee

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dc.contributor.authorMuƱoz, Irene
dc.contributor.authorHenriques, Dora
dc.contributor.authorChƔvez-Galarza, Julio
dc.contributor.authorRufino, JosƩ
dc.contributor.authorJohnston, J. Spencer
dc.contributor.authorPinto, M. Alice
dc.date.accessioned2018-03-28T09:32:58Z
dc.date.available2018-03-28T09:32:58Z
dc.date.issued2014
dc.description.abstractGenetic identiļ¬cation and introgression analysis using molecular markers is an important tool for management and conservation of honey bee subspecies. High density assays featuring Single Nucleotide Polymorphism (SNP) markers can be exploited to create a reduced panel containing the most informative markers for these purposes. The objective of this study was to determine the minimum number of SNP loci required to verify the origin of dark honey bee individuals and to provide accurate estimates of the level of C-lineage introgression into their genome. We estimated allele frequencies of ll83 SNPs from ll3 drone honey bee individuals sampled in the natural ranges of A. m. mellifĆ©ra, A. m. carnica and A. m. ligustica, and evaluated the discriminant power of the SNPs using a variety of metrics and approaches including the Weir & Cockerhamā€™s FST, Delta, informativeness (In), PCA and an FST-based outlier test. Taking into account the less expensive multiplex assays made available by IlluminaĀ®, we created 5 panels of 48-, 96-, 144-, 192- and 384-SNPs with the average top-ranked loci and tested them to obtain the probability of assigning individuals to the correct origin and to calculate the admixture level using each panel. The analyses showed no signiļ¬cant differences in the introgression proportions produced by the different SNP panels, suggesting that a low number of loci is sufļ¬cient to produce accurate estimates. This study was ļ¬nanced by the Project PTDC/BIA-BEC/099640/2008 and I. MuƱoz was supported by a Postdoctoral fellowship from the Fundacion SĆ©neca (Murcia, Spain).pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationMuƱoz, Irene; Henriques, Dora; ChƔvez-Galarza, Julio; Rufino, JosƩ; Johnston, J. Spencer; Pinto, M. Alice (2014). Evaluating the performance of a variable number of SNPs for genetic identification and introgression analysis in the dark honey bee. In 6th European Conference of Apidology: book of abstracts. Murcia. ISBN 978-84-697-0855-2pt_PT
dc.identifier.isbn978-84-697-0855-2
dc.identifier.urihttp://hdl.handle.net/10198/16606
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherUniversidad de Murciapt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.titleEvaluating the performance of a variable number of SNPs for genetic identification and introgression analysis in the dark honey beept_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardNumberPTDC/BIA-BEC/099640/2008
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876-PPCDTI/PTDC%2FBIA-BEC%2F099640%2F2008/PT
oaire.citation.conferencePlaceMurcia, Spainpt_PT
oaire.citation.endPage62pt_PT
oaire.citation.startPage62pt_PT
oaire.citation.titleBook of Abstracts of the 6th European Conference of Apidology (EURBEE 2014)pt_PT
oaire.fundingStream5876-PPCDTI
person.familyNameHenriques
person.familyNameRufino
person.familyNamePinto
person.givenNameDora
person.givenNameJosƩ
person.givenNameM. 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
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundaĆ§Ć£o para a CiĆŖncia e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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relation.isAuthorOfPublication1e24d2ce-a354-442a-bef8-eebadd94b385
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