High-throughput targeted genotyping using next-generation sequencing applied in Coffea canephora breeding
Autor(a) principal: | |
---|---|
Data de Publicação: | 2018 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | LOCUS Repositório Institucional da UFV |
Texto Completo: | https://doi.org/10.1007/s10681-018-2126-2 http://www.locus.ufv.br/handle/123456789/21446 |
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. |
id |
UFV_f4ff7c85998475dd8c5f88b9fbe7480b |
---|---|
oai_identifier_str |
oai:locus.ufv.br:123456789/21446 |
network_acronym_str |
UFV |
network_name_str |
LOCUS Repositório Institucional da UFV |
repository_id_str |
2145 |
spelling |
Alkimim, Emilly RuasCaixeta, Eveline TeixeiraSousa, Tiago VieiraSilva, Felipe Lopes daSakiyama, Ney SussumuZambolim, Laércio2018-08-27T17:37:21Z2018-08-27T17:37:21Z2018-0315735060https://doi.org/10.1007/s10681-018-2126-2http://www.locus.ufv.br/handle/123456789/21446The 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.engEuphyticav. 214, n. 50, p. 1- 18, march 2018Springer Science+Business Media B.V.info:eu-repo/semantics/openAccessSingle nucleotide polymorphismGenetic variabilityPopulation structureConilon RobustaHybridHigh-throughput targeted genotyping using next-generation sequencing applied in Coffea canephora breedinginfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlereponame:LOCUS Repositório Institucional da UFVinstname:Universidade Federal de Viçosa (UFV)instacron:UFVORIGINALartigo.pdfartigo.pdfTexto completoapplication/pdf2984117https://locus.ufv.br//bitstream/123456789/21446/1/artigo.pdfd01792a46958fe613f08fd64524d71aeMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://locus.ufv.br//bitstream/123456789/21446/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52THUMBNAILartigo.pdf.jpgartigo.pdf.jpgIM Thumbnailimage/jpeg5183https://locus.ufv.br//bitstream/123456789/21446/3/artigo.pdf.jpg5d781a184b4774b145029088e95fbe0fMD53123456789/214462018-08-27 23:00:41.928oai:locus.ufv.br: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Repositório InstitucionalPUBhttps://www.locus.ufv.br/oai/requestfabiojreis@ufv.bropendoar:21452018-08-28T02:00:41LOCUS Repositório Institucional da UFV - Universidade Federal de Viçosa (UFV)false |
dc.title.en.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, Emilly Ruas Single nucleotide polymorphism Genetic variability Population structure Conilon Robusta Hybrid |
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, Emilly Ruas |
author_facet |
Alkimim, Emilly Ruas Caixeta, Eveline Teixeira Sousa, Tiago Vieira Silva, Felipe Lopes da Sakiyama, Ney Sussumu Zambolim, Laércio |
author_role |
author |
author2 |
Caixeta, Eveline Teixeira Sousa, Tiago Vieira Silva, Felipe Lopes da Sakiyama, Ney Sussumu Zambolim, Laércio |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Alkimim, Emilly Ruas Caixeta, Eveline Teixeira Sousa, Tiago Vieira Silva, Felipe Lopes da Sakiyama, Ney Sussumu Zambolim, Laércio |
dc.subject.pt-BR.fl_str_mv |
Single nucleotide polymorphism Genetic variability Population structure Conilon Robusta Hybrid |
topic |
Single nucleotide polymorphism Genetic variability Population structure Conilon Robusta Hybrid |
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.accessioned.fl_str_mv |
2018-08-27T17:37:21Z |
dc.date.available.fl_str_mv |
2018-08-27T17:37:21Z |
dc.date.issued.fl_str_mv |
2018-03 |
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 |
https://doi.org/10.1007/s10681-018-2126-2 http://www.locus.ufv.br/handle/123456789/21446 |
dc.identifier.issn.none.fl_str_mv |
15735060 |
identifier_str_mv |
15735060 |
url |
https://doi.org/10.1007/s10681-018-2126-2 http://www.locus.ufv.br/handle/123456789/21446 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartofseries.pt-BR.fl_str_mv |
v. 214, n. 50, p. 1- 18, march 2018 |
dc.rights.driver.fl_str_mv |
Springer Science+Business Media B.V. info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Springer Science+Business Media B.V. |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Euphytica |
publisher.none.fl_str_mv |
Euphytica |
dc.source.none.fl_str_mv |
reponame:LOCUS Repositório Institucional da UFV instname:Universidade Federal de Viçosa (UFV) instacron:UFV |
instname_str |
Universidade Federal de Viçosa (UFV) |
instacron_str |
UFV |
institution |
UFV |
reponame_str |
LOCUS Repositório Institucional da UFV |
collection |
LOCUS Repositório Institucional da UFV |
bitstream.url.fl_str_mv |
https://locus.ufv.br//bitstream/123456789/21446/1/artigo.pdf https://locus.ufv.br//bitstream/123456789/21446/2/license.txt https://locus.ufv.br//bitstream/123456789/21446/3/artigo.pdf.jpg |
bitstream.checksum.fl_str_mv |
d01792a46958fe613f08fd64524d71ae 8a4605be74aa9ea9d79846c1fba20a33 5d781a184b4774b145029088e95fbe0f |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 |
repository.name.fl_str_mv |
LOCUS Repositório Institucional da UFV - Universidade Federal de Viçosa (UFV) |
repository.mail.fl_str_mv |
fabiojreis@ufv.br |
_version_ |
1801212970284351488 |