Microsatellite markers for identification of Prunus spp. rootstocks

Detalhes bibliográficos
Autor(a) principal: Bianchi,Valmor João
Data de Publicação: 2004
Outros Autores: Sansavini,Silviero, Fachinello,José Carlos
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Scientia Agrícola (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162004000300011
Resumo: Cultivar characterization for fruit trees certification requires fast, efficient and reliable techniques. Microsatellite markers (SSR) were used in the molecular characterization of 29 Prunus spp. rootstocks. The DNA from the rootstocks was analyzed using five pre-selected SSR primers (UDP96-005, UDP96-008, UDP96-013, UDP96-18 and UDP98-414) and revealed 81 alleles, which allowed each genotype to be identified. The UDP96-005 marker generated the most information, i.e., 23 well-distributed, polymorphic alleles among all genotypes. The 21 polymorphisms produced by UDP96-013 occurred mainly as a result of high degree of variability among genotypes of the Prunophora subgenus. In the dendrogram, the five markers allowed the 29 rootstocks to be grouped into subgroups corresponding to the subgenus they belong to, either Prunophora or Amygdalus. Suitable cophenetic correlation coefficient (r=0.82) and good bootstrapping fitting value among the Prunophora subgroup cultivars were obtained. SSR markers proved to be efficient and reliable for the molecular characterization of Prunus spp. rootostocks.
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spelling Microsatellite markers for identification of Prunus spp. rootstockspeach treeSSRfingerprintingCultivar characterization for fruit trees certification requires fast, efficient and reliable techniques. Microsatellite markers (SSR) were used in the molecular characterization of 29 Prunus spp. rootstocks. The DNA from the rootstocks was analyzed using five pre-selected SSR primers (UDP96-005, UDP96-008, UDP96-013, UDP96-18 and UDP98-414) and revealed 81 alleles, which allowed each genotype to be identified. The UDP96-005 marker generated the most information, i.e., 23 well-distributed, polymorphic alleles among all genotypes. The 21 polymorphisms produced by UDP96-013 occurred mainly as a result of high degree of variability among genotypes of the Prunophora subgenus. In the dendrogram, the five markers allowed the 29 rootstocks to be grouped into subgroups corresponding to the subgenus they belong to, either Prunophora or Amygdalus. Suitable cophenetic correlation coefficient (r=0.82) and good bootstrapping fitting value among the Prunophora subgroup cultivars were obtained. SSR markers proved to be efficient and reliable for the molecular characterization of Prunus spp. rootostocks.Escola Superior de Agricultura "Luiz de Queiroz"2004-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162004000300011Scientia Agricola v.61 n.3 2004reponame:Scientia Agrícola (Online)instname:Universidade de São Paulo (USP)instacron:USP10.1590/S0103-90162004000300011info:eu-repo/semantics/openAccessBianchi,Valmor JoãoSansavini,SilvieroFachinello,José Carloseng2004-07-02T00:00:00Zoai:scielo:S0103-90162004000300011Revistahttp://revistas.usp.br/sa/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpscientia@usp.br||alleoni@usp.br1678-992X0103-9016opendoar:2004-07-02T00:00Scientia Agrícola (Online) - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Microsatellite markers for identification of Prunus spp. rootstocks
title Microsatellite markers for identification of Prunus spp. rootstocks
spellingShingle Microsatellite markers for identification of Prunus spp. rootstocks
Bianchi,Valmor João
peach tree
SSR
fingerprinting
title_short Microsatellite markers for identification of Prunus spp. rootstocks
title_full Microsatellite markers for identification of Prunus spp. rootstocks
title_fullStr Microsatellite markers for identification of Prunus spp. rootstocks
title_full_unstemmed Microsatellite markers for identification of Prunus spp. rootstocks
title_sort Microsatellite markers for identification of Prunus spp. rootstocks
author Bianchi,Valmor João
author_facet Bianchi,Valmor João
Sansavini,Silviero
Fachinello,José Carlos
author_role author
author2 Sansavini,Silviero
Fachinello,José Carlos
author2_role author
author
dc.contributor.author.fl_str_mv Bianchi,Valmor João
Sansavini,Silviero
Fachinello,José Carlos
dc.subject.por.fl_str_mv peach tree
SSR
fingerprinting
topic peach tree
SSR
fingerprinting
description Cultivar characterization for fruit trees certification requires fast, efficient and reliable techniques. Microsatellite markers (SSR) were used in the molecular characterization of 29 Prunus spp. rootstocks. The DNA from the rootstocks was analyzed using five pre-selected SSR primers (UDP96-005, UDP96-008, UDP96-013, UDP96-18 and UDP98-414) and revealed 81 alleles, which allowed each genotype to be identified. The UDP96-005 marker generated the most information, i.e., 23 well-distributed, polymorphic alleles among all genotypes. The 21 polymorphisms produced by UDP96-013 occurred mainly as a result of high degree of variability among genotypes of the Prunophora subgenus. In the dendrogram, the five markers allowed the 29 rootstocks to be grouped into subgroups corresponding to the subgenus they belong to, either Prunophora or Amygdalus. Suitable cophenetic correlation coefficient (r=0.82) and good bootstrapping fitting value among the Prunophora subgroup cultivars were obtained. SSR markers proved to be efficient and reliable for the molecular characterization of Prunus spp. rootostocks.
publishDate 2004
dc.date.none.fl_str_mv 2004-06-01
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=S0103-90162004000300011
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162004000300011
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0103-90162004000300011
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.61 n.3 2004
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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