Genetic diversity assessed by microsatellite markers in sweet corn cultivars

Detalhes bibliográficos
Autor(a) principal: Lopes,Ana Daniela
Data de Publicação: 2015
Outros Autores: Scapim,Carlos Alberto, Machado,Maria de Fátima Pires da Silva, Mangolin,Claudete Aparecida, Silva,Tereza Aparecida, Cantagali,Liriana Belizário, Teixeira,Flávia França, Mora,Freddy
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Scientia Agrícola (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162015000600513
Resumo: Information on genetic diversity is essential to the characterization and utilization of germplasm. The genetic diversity of twenty-two sweet corn cultivars (seventeen open-pollinated varieties, OPV, and five hybrids, H) was investigated by applying simple sequence repeat markers. A total of 257 primers were tested, of which 160 were found to be usable in terms of high reproducibility for all the samples tested; 45 were polymorphic loci, of which 30 were used to assess the genetic diversity of sweet corn cultivars. We detected a total of 86 alleles using 30 microsatellite primers. The mean polymorphism was 82 %. The highest heterozygosity values (Ho = 0.20) were found in the PR030-Doce Flor da Serra and BR427 III OPVs, whereas the lowest values (0.14) were recorded in the MG161-Branco Doce and Doce Cubano OPVs. The polymorphism information content ranged from 0.19 (Umc2319) to 0.71 (Umc2205). The analysis of molecular variance revealed that most of the genetic variability was concentrated within the cultivars of sweet corn (75 %), with less variability between them (25 %). The consensus tree derived from the neighbor-joining (NJ) algorithm using 1,000 bootstrapping replicates revealed seven genetically different groups. Nei’s diversity values varied between 0.103 (Doce do Hawai × CNPH-1 cultivars) and 0.645 (Amarelo Doce × Lili cultivars), indicating a narrow genetic basis. The Lili hybrid was the most distant cultivar, as revealed by Principal Coordinates Analysis and the NJ tree. This study on genetic diversity will be useful for planning future studies on sweet corn genetic resources and can complement the breeding programs for this crop.
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spelling Genetic diversity assessed by microsatellite markers in sweet corn cultivarssimple sequence repeatsneighbor-joiningmaize germplasmInformation on genetic diversity is essential to the characterization and utilization of germplasm. The genetic diversity of twenty-two sweet corn cultivars (seventeen open-pollinated varieties, OPV, and five hybrids, H) was investigated by applying simple sequence repeat markers. A total of 257 primers were tested, of which 160 were found to be usable in terms of high reproducibility for all the samples tested; 45 were polymorphic loci, of which 30 were used to assess the genetic diversity of sweet corn cultivars. We detected a total of 86 alleles using 30 microsatellite primers. The mean polymorphism was 82 %. The highest heterozygosity values (Ho = 0.20) were found in the PR030-Doce Flor da Serra and BR427 III OPVs, whereas the lowest values (0.14) were recorded in the MG161-Branco Doce and Doce Cubano OPVs. The polymorphism information content ranged from 0.19 (Umc2319) to 0.71 (Umc2205). The analysis of molecular variance revealed that most of the genetic variability was concentrated within the cultivars of sweet corn (75 %), with less variability between them (25 %). The consensus tree derived from the neighbor-joining (NJ) algorithm using 1,000 bootstrapping replicates revealed seven genetically different groups. Nei’s diversity values varied between 0.103 (Doce do Hawai × CNPH-1 cultivars) and 0.645 (Amarelo Doce × Lili cultivars), indicating a narrow genetic basis. The Lili hybrid was the most distant cultivar, as revealed by Principal Coordinates Analysis and the NJ tree. This study on genetic diversity will be useful for planning future studies on sweet corn genetic resources and can complement the breeding programs for this crop.Escola Superior de Agricultura "Luiz de Queiroz"2015-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162015000600513Scientia Agricola v.72 n.6 2015reponame:Scientia Agrícola (Online)instname:Universidade de São Paulo (USP)instacron:USP10.1590/0103-9016-2014-0307info:eu-repo/semantics/openAccessLopes,Ana DanielaScapim,Carlos AlbertoMachado,Maria de Fátima Pires da SilvaMangolin,Claudete AparecidaSilva,Tereza AparecidaCantagali,Liriana BelizárioTeixeira,Flávia FrançaMora,Freddyeng2015-10-21T00:00:00Zoai:scielo:S0103-90162015000600513Revistahttp://revistas.usp.br/sa/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpscientia@usp.br||alleoni@usp.br1678-992X0103-9016opendoar:2015-10-21T00:00Scientia Agrícola (Online) - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Genetic diversity assessed by microsatellite markers in sweet corn cultivars
title Genetic diversity assessed by microsatellite markers in sweet corn cultivars
spellingShingle Genetic diversity assessed by microsatellite markers in sweet corn cultivars
Lopes,Ana Daniela
simple sequence repeats
neighbor-joining
maize germplasm
title_short Genetic diversity assessed by microsatellite markers in sweet corn cultivars
title_full Genetic diversity assessed by microsatellite markers in sweet corn cultivars
title_fullStr Genetic diversity assessed by microsatellite markers in sweet corn cultivars
title_full_unstemmed Genetic diversity assessed by microsatellite markers in sweet corn cultivars
title_sort Genetic diversity assessed by microsatellite markers in sweet corn cultivars
author Lopes,Ana Daniela
author_facet Lopes,Ana Daniela
Scapim,Carlos Alberto
Machado,Maria de Fátima Pires da Silva
Mangolin,Claudete Aparecida
Silva,Tereza Aparecida
Cantagali,Liriana Belizário
Teixeira,Flávia França
Mora,Freddy
author_role author
author2 Scapim,Carlos Alberto
Machado,Maria de Fátima Pires da Silva
Mangolin,Claudete Aparecida
Silva,Tereza Aparecida
Cantagali,Liriana Belizário
Teixeira,Flávia França
Mora,Freddy
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Lopes,Ana Daniela
Scapim,Carlos Alberto
Machado,Maria de Fátima Pires da Silva
Mangolin,Claudete Aparecida
Silva,Tereza Aparecida
Cantagali,Liriana Belizário
Teixeira,Flávia França
Mora,Freddy
dc.subject.por.fl_str_mv simple sequence repeats
neighbor-joining
maize germplasm
topic simple sequence repeats
neighbor-joining
maize germplasm
description Information on genetic diversity is essential to the characterization and utilization of germplasm. The genetic diversity of twenty-two sweet corn cultivars (seventeen open-pollinated varieties, OPV, and five hybrids, H) was investigated by applying simple sequence repeat markers. A total of 257 primers were tested, of which 160 were found to be usable in terms of high reproducibility for all the samples tested; 45 were polymorphic loci, of which 30 were used to assess the genetic diversity of sweet corn cultivars. We detected a total of 86 alleles using 30 microsatellite primers. The mean polymorphism was 82 %. The highest heterozygosity values (Ho = 0.20) were found in the PR030-Doce Flor da Serra and BR427 III OPVs, whereas the lowest values (0.14) were recorded in the MG161-Branco Doce and Doce Cubano OPVs. The polymorphism information content ranged from 0.19 (Umc2319) to 0.71 (Umc2205). The analysis of molecular variance revealed that most of the genetic variability was concentrated within the cultivars of sweet corn (75 %), with less variability between them (25 %). The consensus tree derived from the neighbor-joining (NJ) algorithm using 1,000 bootstrapping replicates revealed seven genetically different groups. Nei’s diversity values varied between 0.103 (Doce do Hawai × CNPH-1 cultivars) and 0.645 (Amarelo Doce × Lili cultivars), indicating a narrow genetic basis. The Lili hybrid was the most distant cultivar, as revealed by Principal Coordinates Analysis and the NJ tree. This study on genetic diversity will be useful for planning future studies on sweet corn genetic resources and can complement the breeding programs for this crop.
publishDate 2015
dc.date.none.fl_str_mv 2015-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162015000600513
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162015000600513
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0103-9016-2014-0307
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Escola Superior de Agricultura "Luiz de Queiroz"
publisher.none.fl_str_mv Escola Superior de Agricultura "Luiz de Queiroz"
dc.source.none.fl_str_mv Scientia Agricola v.72 n.6 2015
reponame:Scientia Agrícola (Online)
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Scientia Agrícola (Online)
collection Scientia Agrícola (Online)
repository.name.fl_str_mv Scientia Agrícola (Online) - Universidade de São Paulo (USP)
repository.mail.fl_str_mv scientia@usp.br||alleoni@usp.br
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