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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

Detalhes bibliográficos
Autor(a) principal: Henriques, Dora
Data de Publicação: 2018
Outros Autores: Browne, Keith A., Barnett, Mark W., Parejo, Melanie, Kryger, Per, Freeman, Tom C., Muñoz, Irene, Garnery, Lionel, Highet, Fiona, Jonhston, J. Spencer, McCormack, Grace P., Pinto, M. Alice
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: http://hdl.handle.net/10198/18028
Resumo: The 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.
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spelling High sample throughput genotyping for estimating C-lineage introgression in the dark honeybee: an accurate and cost-effective SNP-based toolReduced SNP assaysApis mellifera melliferaIntrogressionThe 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.Biblioteca Digital do IPBHenriques, DoraBrowne, Keith A.Barnett, Mark W.Parejo, MelanieKryger, PerFreeman, Tom C.Muñoz, IreneGarnery, LionelHighet, FionaJonhston, J. SpencerMcCormack, Grace P.Pinto, M. Alice2018-10-09T10:08:25Z20182018-01-01T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10198/18028engHenriques, Dora; Browne, Keith A.; Barnett, Mark W.; Parejo, Melanie; Kryger, Per; Freeman, Tom. C.; Muñoz, Irene; Garnery, Lionel; Highet, Fiona; Jonhston, J. Spencer; McCormack, Grace P.; Pinto, M. Alice (2018). High sample throughput genotyping for estimating C-lineage introgression in the dark honeybee: an accurate and cost-effective SNP-based tool. In EURBEE 2018: 8th European Conference of Apidology. Ghent, Belgiuminfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-25T12:08:18Zoai:bibliotecadigital.ipb.pt:10198/18028Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T11:34:50.376249Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv High sample throughput genotyping for estimating C-lineage introgression in the dark honeybee: an accurate and cost-effective SNP-based tool
title High sample throughput genotyping for estimating C-lineage introgression in the dark honeybee: an accurate and cost-effective SNP-based tool
spellingShingle High sample throughput genotyping for estimating C-lineage introgression in the dark honeybee: an accurate and cost-effective SNP-based tool
Henriques, Dora
Reduced SNP assays
Apis mellifera mellifera
Introgression
title_short High sample throughput genotyping for estimating C-lineage introgression in the dark honeybee: an accurate and cost-effective SNP-based tool
title_full High sample throughput genotyping for estimating C-lineage introgression in the dark honeybee: an accurate and cost-effective SNP-based tool
title_fullStr High sample throughput genotyping for estimating C-lineage introgression in the dark honeybee: an accurate and cost-effective SNP-based tool
title_full_unstemmed High sample throughput genotyping for estimating C-lineage introgression in the dark honeybee: an accurate and cost-effective SNP-based tool
title_sort High sample throughput genotyping for estimating C-lineage introgression in the dark honeybee: an accurate and cost-effective SNP-based tool
author Henriques, Dora
author_facet Henriques, Dora
Browne, Keith A.
Barnett, Mark W.
Parejo, Melanie
Kryger, Per
Freeman, Tom C.
Muñoz, Irene
Garnery, Lionel
Highet, Fiona
Jonhston, J. Spencer
McCormack, Grace P.
Pinto, M. Alice
author_role author
author2 Browne, Keith A.
Barnett, Mark W.
Parejo, Melanie
Kryger, Per
Freeman, Tom C.
Muñoz, Irene
Garnery, Lionel
Highet, Fiona
Jonhston, J. Spencer
McCormack, Grace P.
Pinto, M. Alice
author2_role author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Biblioteca Digital do IPB
dc.contributor.author.fl_str_mv Henriques, Dora
Browne, Keith A.
Barnett, Mark W.
Parejo, Melanie
Kryger, Per
Freeman, Tom C.
Muñoz, Irene
Garnery, Lionel
Highet, Fiona
Jonhston, J. Spencer
McCormack, Grace P.
Pinto, M. Alice
dc.subject.por.fl_str_mv Reduced SNP assays
Apis mellifera mellifera
Introgression
topic Reduced SNP assays
Apis mellifera mellifera
Introgression
description The 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.
publishDate 2018
dc.date.none.fl_str_mv 2018-10-09T10:08:25Z
2018
2018-01-01T00:00:00Z
dc.type.driver.fl_str_mv conference object
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10198/18028
url http://hdl.handle.net/10198/18028
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Henriques, Dora; Browne, Keith A.; Barnett, Mark W.; Parejo, Melanie; Kryger, Per; Freeman, Tom. C.; Muñoz, Irene; Garnery, Lionel; Highet, Fiona; Jonhston, J. Spencer; McCormack, Grace P.; Pinto, M. Alice (2018). High sample throughput genotyping for estimating C-lineage introgression in the dark honeybee: an accurate and cost-effective SNP-based tool. In EURBEE 2018: 8th European Conference of Apidology. Ghent, Belgium
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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