Development of microsatellite markers for identifying Brazilian Coffea arabica varieties
Autor(a) principal: | |
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Data de Publicação: | 2010 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Institucional da UFLA |
Texto Completo: | http://repositorio.ufla.br/jspui/handle/1/28239 |
Resumo: | Microsatellite markers, also known as SSRs (Simple Sequence Repeats), have proved to be excellent tools for identifying variety and determining genetic relationships. A set of 127 SSR markers was used to analyze genetic similarity in twenty five Coffea arabica varieties. These were composed of nineteen commercially important Brazilians and six interspecific hybrids of Coffea arabica, Coffea canephora and Coffea liberica. The set used comprised 52 newly developed SSR markers derived from microsatellite enriched libraries, 56 designed on the basis of coffee SSR sequences available from public databases, 6 already published, and 13 universal chloroplast microsatellite markers. Only 22 were polymorphic, these detecting 2-7 alleles per marker, an average of 2.5. Based on the banding patterns generated by polymorphic SSR loci, the set of twenty-five coffee varieties were clustered into two main groups, one composed of only Brazilian varieties, and the other of interspecific hybrids, with a few Brazilians. Color mutants could not be separated. Clustering was in accordance with material genealogy thereby revealing high similarity. |
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Development of microsatellite markers for identifying Brazilian Coffea arabica varietiesSimple Sequence Repeats (SSR)CoffeeGenetic similarityMolecular markerMicrosatellite markers, also known as SSRs (Simple Sequence Repeats), have proved to be excellent tools for identifying variety and determining genetic relationships. A set of 127 SSR markers was used to analyze genetic similarity in twenty five Coffea arabica varieties. These were composed of nineteen commercially important Brazilians and six interspecific hybrids of Coffea arabica, Coffea canephora and Coffea liberica. The set used comprised 52 newly developed SSR markers derived from microsatellite enriched libraries, 56 designed on the basis of coffee SSR sequences available from public databases, 6 already published, and 13 universal chloroplast microsatellite markers. Only 22 were polymorphic, these detecting 2-7 alleles per marker, an average of 2.5. Based on the banding patterns generated by polymorphic SSR loci, the set of twenty-five coffee varieties were clustered into two main groups, one composed of only Brazilian varieties, and the other of interspecific hybrids, with a few Brazilians. Color mutants could not be separated. Clustering was in accordance with material genealogy thereby revealing high similarity.Sociedade Brasileira de Genética2017-12-11T15:57:24Z2017-12-11T15:57:24Z2010info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfVIEIRA, E. S. N. et al. Development of microsatellite markers for identifying Brazilian Coffea arabica varieties. Genetics and Molecular Biology, Ribeirão Preto, v. 33, n. 3, 2010.http://repositorio.ufla.br/jspui/handle/1/28239Genetics and Molecular Biologyreponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessVieira, Elisa S. N.Von Pinho, Edila Vilela de RezendeCarvalho, Maria G. G.Esselink, Danny G.Vosman, Benpor2023-05-26T18:42:26Zoai:localhost:1/28239Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2023-05-26T18:42:26Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false |
dc.title.none.fl_str_mv |
Development of microsatellite markers for identifying Brazilian Coffea arabica varieties |
title |
Development of microsatellite markers for identifying Brazilian Coffea arabica varieties |
spellingShingle |
Development of microsatellite markers for identifying Brazilian Coffea arabica varieties Vieira, Elisa S. N. Simple Sequence Repeats (SSR) Coffee Genetic similarity Molecular marker |
title_short |
Development of microsatellite markers for identifying Brazilian Coffea arabica varieties |
title_full |
Development of microsatellite markers for identifying Brazilian Coffea arabica varieties |
title_fullStr |
Development of microsatellite markers for identifying Brazilian Coffea arabica varieties |
title_full_unstemmed |
Development of microsatellite markers for identifying Brazilian Coffea arabica varieties |
title_sort |
Development of microsatellite markers for identifying Brazilian Coffea arabica varieties |
author |
Vieira, Elisa S. N. |
author_facet |
Vieira, Elisa S. N. Von Pinho, Edila Vilela de Rezende Carvalho, Maria G. G. Esselink, Danny G. Vosman, Ben |
author_role |
author |
author2 |
Von Pinho, Edila Vilela de Rezende Carvalho, Maria G. G. Esselink, Danny G. Vosman, Ben |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Vieira, Elisa S. N. Von Pinho, Edila Vilela de Rezende Carvalho, Maria G. G. Esselink, Danny G. Vosman, Ben |
dc.subject.por.fl_str_mv |
Simple Sequence Repeats (SSR) Coffee Genetic similarity Molecular marker |
topic |
Simple Sequence Repeats (SSR) Coffee Genetic similarity Molecular marker |
description |
Microsatellite markers, also known as SSRs (Simple Sequence Repeats), have proved to be excellent tools for identifying variety and determining genetic relationships. A set of 127 SSR markers was used to analyze genetic similarity in twenty five Coffea arabica varieties. These were composed of nineteen commercially important Brazilians and six interspecific hybrids of Coffea arabica, Coffea canephora and Coffea liberica. The set used comprised 52 newly developed SSR markers derived from microsatellite enriched libraries, 56 designed on the basis of coffee SSR sequences available from public databases, 6 already published, and 13 universal chloroplast microsatellite markers. Only 22 were polymorphic, these detecting 2-7 alleles per marker, an average of 2.5. Based on the banding patterns generated by polymorphic SSR loci, the set of twenty-five coffee varieties were clustered into two main groups, one composed of only Brazilian varieties, and the other of interspecific hybrids, with a few Brazilians. Color mutants could not be separated. Clustering was in accordance with material genealogy thereby revealing high similarity. |
publishDate |
2010 |
dc.date.none.fl_str_mv |
2010 2017-12-11T15:57:24Z 2017-12-11T15:57:24Z |
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 |
VIEIRA, E. S. N. et al. Development of microsatellite markers for identifying Brazilian Coffea arabica varieties. Genetics and Molecular Biology, Ribeirão Preto, v. 33, n. 3, 2010. http://repositorio.ufla.br/jspui/handle/1/28239 |
identifier_str_mv |
VIEIRA, E. S. N. et al. Development of microsatellite markers for identifying Brazilian Coffea arabica varieties. Genetics and Molecular Biology, Ribeirão Preto, v. 33, n. 3, 2010. |
url |
http://repositorio.ufla.br/jspui/handle/1/28239 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.rights.driver.fl_str_mv |
Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Genética |
publisher.none.fl_str_mv |
Sociedade Brasileira de Genética |
dc.source.none.fl_str_mv |
Genetics and Molecular Biology reponame:Repositório Institucional da UFLA instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
Repositório Institucional da UFLA |
collection |
Repositório Institucional da UFLA |
repository.name.fl_str_mv |
Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
nivaldo@ufla.br || repositorio.biblioteca@ufla.br |
_version_ |
1815439259794931712 |