Developing reduced SNP assays from whole-genome sequence data to estimate introgression in an organism with complex genetic patterns, the Iberian honeybee (Apis mellifera iberiensis)
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10198/18729 |
Resumo: | The most important managed pollinator, the honeybee (Apis mellifera L.), has been subject to a growing number of threats. In western Europe, one such threat is large- scale introductions of commercial strains (C- lineage ancestry), which is leading to introgressive hybridization and even the local extinction of native honeybee populations (M- lineage ancestry). Here, we developed reduced assays of highly informative SNPs from 176 whole genomes to estimate C- lineage introgression in the most diverse and evolutionarily complex subspecies in Europe, the Iberian honeybee (Apis mellifera iberiensis). We started by evaluating the effects of sample size and sampling a geographically restricted area on the number of highly informative SNPs. We demonstrated that a bias in the number of fixed SNPs (FST = 1) is introduced when the sample size is small (N ≤ 10) and when sampling only captures a small fraction of a population’s genetic diversity. These results underscore the importance of having a representative sample when developing reliable reduced SNP assays for organisms with complex genetic patterns. We used a training data set to design four independent SNP assays selected from pairwise FST between the Iberian and C- lineage honeybees. The designed assays, which were validated in holdout and simulated hybrid data sets, proved to be highly accurate and can be readily used for monitoring populations not only in the native range of A. m. iberiensis in Iberia but also in the introduced range in the Balearic islands, Macaronesia and South America, in a time- and cost- effective manner. While our approach used the Iberian honeybee as model system, it has a high value in a wide range of scenarios for the monitoring and conservation of potentially hybridized domestic and wildlife populations. |
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Developing reduced SNP assays from whole-genome sequence data to estimate introgression in an organism with complex genetic patterns, the Iberian honeybee (Apis mellifera iberiensis)Apis mellifera iberiensisfixation indexinformative SNPsreduced SNP assaysThe most important managed pollinator, the honeybee (Apis mellifera L.), has been subject to a growing number of threats. In western Europe, one such threat is large- scale introductions of commercial strains (C- lineage ancestry), which is leading to introgressive hybridization and even the local extinction of native honeybee populations (M- lineage ancestry). Here, we developed reduced assays of highly informative SNPs from 176 whole genomes to estimate C- lineage introgression in the most diverse and evolutionarily complex subspecies in Europe, the Iberian honeybee (Apis mellifera iberiensis). We started by evaluating the effects of sample size and sampling a geographically restricted area on the number of highly informative SNPs. We demonstrated that a bias in the number of fixed SNPs (FST = 1) is introduced when the sample size is small (N ≤ 10) and when sampling only captures a small fraction of a population’s genetic diversity. These results underscore the importance of having a representative sample when developing reliable reduced SNP assays for organisms with complex genetic patterns. We used a training data set to design four independent SNP assays selected from pairwise FST between the Iberian and C- lineage honeybees. The designed assays, which were validated in holdout and simulated hybrid data sets, proved to be highly accurate and can be readily used for monitoring populations not only in the native range of A. m. iberiensis in Iberia but also in the introduced range in the Balearic islands, Macaronesia and South America, in a time- and cost- effective manner. While our approach used the Iberian honeybee as model system, it has a high value in a wide range of scenarios for the monitoring and conservation of potentially hybridized domestic and wildlife populations.We thank numerous researchers, beekeepers and beekeeping associations who provided samples and assisted with sampling in the several countries. João Costa, Instituto Gulbenkian Ciência, designed the multiplexes with the Assay Design tool. José Rufino provided computational resources at IPB. A. m. ligustica drone samples were kindly provided by Cecilia Costa, from the Council for Agricultura Research and Economics Honey Bee and Silkworm Unit, Bologna, Italy. John C. Patton, Phillip San Miguel, Paul Parker, Rick Westerman, from the University of Purdue, USA, sequenced most honeybees and many reference samples. Reference samples were also sequenced at the GeT PlaGe platform in Toulouse, France. An earlier version of the manuscript was improved by the constructive comments made by two anonymous reviewers. Dora Henriques was supported by a PhD scholarship from the Fundação para a Ciência e Tecnologia (FCT) (SFRH/BD/84195/2012) and Melanie Parejo by the Swiss Federal Office for Agriculture FOAG and the Sur-la- Croix foundation, Basel. MAP is a member of and receives support from the COST Action FA1307 (SUPER-B). Analyses were performed at UPPMAX, Uppsala University, and UBELIX, University of Bern. The Roslin Institute was supported by the Biotechnology and Biological Services Research Council (BBS/E/D/20211551). This research was funded through the projects PTDC/BIA-BEC/ 099640/2008 (FCT and COMPETE/ QREN/EU) and the 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) to MAP.Biblioteca Digital do IPBHenriques, DoraParejo, MelanieVignal, AlainWragg, DavidWallberg, AndreasWebster, Matthew T.Pinto, M. Alice2018-01-19T10:00:00Z20182018-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10198/18729engHenriques, Dora; Parejo, Melanie; Vignal, Alain; Wragg, David; Wallberg, Andreas; Webster, Matthew T.; Pinto, M. Alice (2018). Developing reduced SNP assays from whole-genome sequence data to estimate introgression in an organism with complex genetic patterns, the Iberian honeybee (Apis mellifera iberiensis). Evolutionary Applications. ISSN 1752-4571. 11, p. 1270-12821752-457110.1111/eva.12623info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-21T10:42:55Zoai:bibliotecadigital.ipb.pt:10198/18729Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:09:04.445535Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Developing reduced SNP assays from whole-genome sequence data to estimate introgression in an organism with complex genetic patterns, the Iberian honeybee (Apis mellifera iberiensis) |
title |
Developing reduced SNP assays from whole-genome sequence data to estimate introgression in an organism with complex genetic patterns, the Iberian honeybee (Apis mellifera iberiensis) |
spellingShingle |
Developing reduced SNP assays from whole-genome sequence data to estimate introgression in an organism with complex genetic patterns, the Iberian honeybee (Apis mellifera iberiensis) Henriques, Dora Apis mellifera iberiensis fixation index informative SNPs reduced SNP assays |
title_short |
Developing reduced SNP assays from whole-genome sequence data to estimate introgression in an organism with complex genetic patterns, the Iberian honeybee (Apis mellifera iberiensis) |
title_full |
Developing reduced SNP assays from whole-genome sequence data to estimate introgression in an organism with complex genetic patterns, the Iberian honeybee (Apis mellifera iberiensis) |
title_fullStr |
Developing reduced SNP assays from whole-genome sequence data to estimate introgression in an organism with complex genetic patterns, the Iberian honeybee (Apis mellifera iberiensis) |
title_full_unstemmed |
Developing reduced SNP assays from whole-genome sequence data to estimate introgression in an organism with complex genetic patterns, the Iberian honeybee (Apis mellifera iberiensis) |
title_sort |
Developing reduced SNP assays from whole-genome sequence data to estimate introgression in an organism with complex genetic patterns, the Iberian honeybee (Apis mellifera iberiensis) |
author |
Henriques, Dora |
author_facet |
Henriques, Dora Parejo, Melanie Vignal, Alain Wragg, David Wallberg, Andreas Webster, Matthew T. Pinto, M. Alice |
author_role |
author |
author2 |
Parejo, Melanie Vignal, Alain Wragg, David Wallberg, Andreas Webster, Matthew T. Pinto, M. Alice |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
Biblioteca Digital do IPB |
dc.contributor.author.fl_str_mv |
Henriques, Dora Parejo, Melanie Vignal, Alain Wragg, David Wallberg, Andreas Webster, Matthew T. Pinto, M. Alice |
dc.subject.por.fl_str_mv |
Apis mellifera iberiensis fixation index informative SNPs reduced SNP assays |
topic |
Apis mellifera iberiensis fixation index informative SNPs reduced SNP assays |
description |
The most important managed pollinator, the honeybee (Apis mellifera L.), has been subject to a growing number of threats. In western Europe, one such threat is large- scale introductions of commercial strains (C- lineage ancestry), which is leading to introgressive hybridization and even the local extinction of native honeybee populations (M- lineage ancestry). Here, we developed reduced assays of highly informative SNPs from 176 whole genomes to estimate C- lineage introgression in the most diverse and evolutionarily complex subspecies in Europe, the Iberian honeybee (Apis mellifera iberiensis). We started by evaluating the effects of sample size and sampling a geographically restricted area on the number of highly informative SNPs. We demonstrated that a bias in the number of fixed SNPs (FST = 1) is introduced when the sample size is small (N ≤ 10) and when sampling only captures a small fraction of a population’s genetic diversity. These results underscore the importance of having a representative sample when developing reliable reduced SNP assays for organisms with complex genetic patterns. We used a training data set to design four independent SNP assays selected from pairwise FST between the Iberian and C- lineage honeybees. The designed assays, which were validated in holdout and simulated hybrid data sets, proved to be highly accurate and can be readily used for monitoring populations not only in the native range of A. m. iberiensis in Iberia but also in the introduced range in the Balearic islands, Macaronesia and South America, in a time- and cost- effective manner. While our approach used the Iberian honeybee as model system, it has a high value in a wide range of scenarios for the monitoring and conservation of potentially hybridized domestic and wildlife populations. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-01-19T10:00:00Z 2018 2018-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10198/18729 |
url |
http://hdl.handle.net/10198/18729 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Henriques, Dora; Parejo, Melanie; Vignal, Alain; Wragg, David; Wallberg, Andreas; Webster, Matthew T.; Pinto, M. Alice (2018). Developing reduced SNP assays from whole-genome sequence data to estimate introgression in an organism with complex genetic patterns, the Iberian honeybee (Apis mellifera iberiensis). Evolutionary Applications. ISSN 1752-4571. 11, p. 1270-1282 1752-4571 10.1111/eva.12623 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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application/pdf |
dc.source.none.fl_str_mv |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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