High-throughput targeted genotyping using next-generation sequencing applied in Coffea canephora breeding.

Detalhes bibliográficos
Autor(a) principal: ALKIMIM, E. R.
Data de Publicação: 2018
Outros Autores: CAIXETA, E. T., SOUSA, T. V., SILVA, F. L. da, SAKYAMA, N. S., ZAMBOLIM, L.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1125108
https://doi.org/10.1007/s10681-018-2126-2
Resumo: The use of molecular markers to detect polymorphism at DNA level is one of the most significant developments in molecular biology techniques. With the development of new next-generation sequencing technologies, the discovery of SNP became easier and faster, and the costs of data point were reduced. The development and use of SNP markers for coffee have provided new perspectives for the evaluation of genetic diversity and population structure via different statistical approaches. In this study, 72 Coffea canephora genotypes were analyzed to identify the SNP markers and apply them to genetic studies and selection of parents/hybrids in genetic breeding. As many as 117,450 SNP were identified using the RAPiD Genomics platform. After quality analyses, 33,485 SNP were validated for analyses of genetic diversity and population structure. Genotypes were separated based on their varietal groups, and Hybrids were differentiated using the clustering and Bayesian approach. Coffee accessions mistakenly identified in the germplasm and breeding program were detected. The Conilon varietal group presented the lowest genetic dissimilarity values, suggesting the introduction of new accessions in the germplasm bank. The highest genetic distances values were observed among genotypes of the heterotic groups (Conilon and Robusta). The markers were efficient in evaluating the genetic diversity and population structure of C. canephora. Promising crosses were selected within and between the varietal groups. Hybrids with greater genetic distances were selected, which were important for C. canephora breeding programs.
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spelling High-throughput targeted genotyping using next-generation sequencing applied in Coffea canephora breeding.PolymorphismPopulation structureHybridsThe use of molecular markers to detect polymorphism at DNA level is one of the most significant developments in molecular biology techniques. With the development of new next-generation sequencing technologies, the discovery of SNP became easier and faster, and the costs of data point were reduced. The development and use of SNP markers for coffee have provided new perspectives for the evaluation of genetic diversity and population structure via different statistical approaches. In this study, 72 Coffea canephora genotypes were analyzed to identify the SNP markers and apply them to genetic studies and selection of parents/hybrids in genetic breeding. As many as 117,450 SNP were identified using the RAPiD Genomics platform. After quality analyses, 33,485 SNP were validated for analyses of genetic diversity and population structure. Genotypes were separated based on their varietal groups, and Hybrids were differentiated using the clustering and Bayesian approach. Coffee accessions mistakenly identified in the germplasm and breeding program were detected. The Conilon varietal group presented the lowest genetic dissimilarity values, suggesting the introduction of new accessions in the germplasm bank. The highest genetic distances values were observed among genotypes of the heterotic groups (Conilon and Robusta). The markers were efficient in evaluating the genetic diversity and population structure of C. canephora. Promising crosses were selected within and between the varietal groups. Hybrids with greater genetic distances were selected, which were important for C. canephora breeding programs.EMILLY RUAS ALKIMIM, UNIVERSIDADE FEDERAL DE VIÇOSA; EVELINE TEIXEIRA CAIXETA MOURA, CNPCa; TIAGO VIEIRA SOUSA, UNIVERSIDADE FEDERAL DE VIÇOSA; FELIPE LOPES DA SILVA, UNIVERSIDADE FEDERAL DE VIÇOSA; NEY SUSSUMU SAKIYAMA, UNIVERSIDADE FEDERAL DE VIÇOSA; LAÉRCIO ZAMBOLIM, UNIVERSIDADE FEDERAL DE VIÇOSA.ALKIMIM, E. R.CAIXETA, E. T.SOUSA, T. V.SILVA, F. L. daSAKYAMA, N. S.ZAMBOLIM, L.2020-09-26T09:11:15Z2020-09-26T09:11:15Z2020-09-252018info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleEuphytica, v. 214, p. 50, 2018.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1125108https://doi.org/10.1007/s10681-018-2126-2enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2020-09-26T09:11:29Zoai:www.alice.cnptia.embrapa.br:doc/1125108Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542020-09-26T09:11:29falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542020-09-26T09:11:29Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv High-throughput targeted genotyping using next-generation sequencing applied in Coffea canephora breeding.
title High-throughput targeted genotyping using next-generation sequencing applied in Coffea canephora breeding.
spellingShingle High-throughput targeted genotyping using next-generation sequencing applied in Coffea canephora breeding.
ALKIMIM, E. R.
Polymorphism
Population structure
Hybrids
title_short High-throughput targeted genotyping using next-generation sequencing applied in Coffea canephora breeding.
title_full High-throughput targeted genotyping using next-generation sequencing applied in Coffea canephora breeding.
title_fullStr High-throughput targeted genotyping using next-generation sequencing applied in Coffea canephora breeding.
title_full_unstemmed High-throughput targeted genotyping using next-generation sequencing applied in Coffea canephora breeding.
title_sort High-throughput targeted genotyping using next-generation sequencing applied in Coffea canephora breeding.
author ALKIMIM, E. R.
author_facet ALKIMIM, E. R.
CAIXETA, E. T.
SOUSA, T. V.
SILVA, F. L. da
SAKYAMA, N. S.
ZAMBOLIM, L.
author_role author
author2 CAIXETA, E. T.
SOUSA, T. V.
SILVA, F. L. da
SAKYAMA, N. S.
ZAMBOLIM, L.
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv EMILLY RUAS ALKIMIM, UNIVERSIDADE FEDERAL DE VIÇOSA; EVELINE TEIXEIRA CAIXETA MOURA, CNPCa; TIAGO VIEIRA SOUSA, UNIVERSIDADE FEDERAL DE VIÇOSA; FELIPE LOPES DA SILVA, UNIVERSIDADE FEDERAL DE VIÇOSA; NEY SUSSUMU SAKIYAMA, UNIVERSIDADE FEDERAL DE VIÇOSA; LAÉRCIO ZAMBOLIM, UNIVERSIDADE FEDERAL DE VIÇOSA.
dc.contributor.author.fl_str_mv ALKIMIM, E. R.
CAIXETA, E. T.
SOUSA, T. V.
SILVA, F. L. da
SAKYAMA, N. S.
ZAMBOLIM, L.
dc.subject.por.fl_str_mv Polymorphism
Population structure
Hybrids
topic Polymorphism
Population structure
Hybrids
description The use of molecular markers to detect polymorphism at DNA level is one of the most significant developments in molecular biology techniques. With the development of new next-generation sequencing technologies, the discovery of SNP became easier and faster, and the costs of data point were reduced. The development and use of SNP markers for coffee have provided new perspectives for the evaluation of genetic diversity and population structure via different statistical approaches. In this study, 72 Coffea canephora genotypes were analyzed to identify the SNP markers and apply them to genetic studies and selection of parents/hybrids in genetic breeding. As many as 117,450 SNP were identified using the RAPiD Genomics platform. After quality analyses, 33,485 SNP were validated for analyses of genetic diversity and population structure. Genotypes were separated based on their varietal groups, and Hybrids were differentiated using the clustering and Bayesian approach. Coffee accessions mistakenly identified in the germplasm and breeding program were detected. The Conilon varietal group presented the lowest genetic dissimilarity values, suggesting the introduction of new accessions in the germplasm bank. The highest genetic distances values were observed among genotypes of the heterotic groups (Conilon and Robusta). The markers were efficient in evaluating the genetic diversity and population structure of C. canephora. Promising crosses were selected within and between the varietal groups. Hybrids with greater genetic distances were selected, which were important for C. canephora breeding programs.
publishDate 2018
dc.date.none.fl_str_mv 2018
2020-09-26T09:11:15Z
2020-09-26T09:11:15Z
2020-09-25
dc.type.driver.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv Euphytica, v. 214, p. 50, 2018.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1125108
https://doi.org/10.1007/s10681-018-2126-2
identifier_str_mv Euphytica, v. 214, p. 50, 2018.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1125108
https://doi.org/10.1007/s10681-018-2126-2
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
collection Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
repository.name.fl_str_mv Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
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