Universal tail sequence-SSR applied to molecular characterization of tropical maize hybrids

Detalhes bibliográficos
Autor(a) principal: Ribeiro, Carlos Alexandre Gomes
Data de Publicação: 2017
Outros Autores: Pinto, Marcos de Oliveira, Maciel, Talles Eduardo Ferreira, Pastina, Maria Marta, Barros, Everaldo Gonçalves de, Guimarães, Claudia Teixeira
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Scientia Agrícola (Online)
Texto Completo: https://www.revistas.usp.br/sa/article/view/130937
Resumo: The development of efficient and low-cost genotyping methods is essential to precise genetic characterization of cultivars. Here, we present a system based on fluorescently labeled universal tail sequence primers (UTSP) to resolve microsatellite (SSR) markers as an alternative for molecular fingerprinting of maize. A set of 20 SSRs using the UTSP presented an average polymorphic information content of 0.84, which provided a probability of random identity ranging from 10−7 to 10−14, and a minimum exclusion power of 99.99998 % in a group of 48 tropical maize single-cross hybrids traded in Brazil. The genetic diversity analysis based on multidimensional scaling explained approximately 28 % of the total variance for the first two coordinates, tending to group the hybrids according to their respective origin. Additionally, this genotyping system presented a high distinctiveness capacity, which is widely recommended for genetic purity and fingerprinting analyses. Thus, this marker system has a strong potential as a tool for complementary analysis of distinguishability, uniformity and stability required for cultivar registration.
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spelling Universal tail sequence-SSR applied to molecular characterization of tropical maize hybridsZea maysfingerprintinggenotypingcultivar protectionThe development of efficient and low-cost genotyping methods is essential to precise genetic characterization of cultivars. Here, we present a system based on fluorescently labeled universal tail sequence primers (UTSP) to resolve microsatellite (SSR) markers as an alternative for molecular fingerprinting of maize. A set of 20 SSRs using the UTSP presented an average polymorphic information content of 0.84, which provided a probability of random identity ranging from 10−7 to 10−14, and a minimum exclusion power of 99.99998 % in a group of 48 tropical maize single-cross hybrids traded in Brazil. The genetic diversity analysis based on multidimensional scaling explained approximately 28 % of the total variance for the first two coordinates, tending to group the hybrids according to their respective origin. Additionally, this genotyping system presented a high distinctiveness capacity, which is widely recommended for genetic purity and fingerprinting analyses. Thus, this marker system has a strong potential as a tool for complementary analysis of distinguishability, uniformity and stability required for cultivar registration.Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz2017-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/sa/article/view/13093710.1590/1678-992x-2016-0079Scientia Agricola; v. 74 n. 2 (2017); 163-168Scientia Agricola; Vol. 74 Núm. 2 (2017); 163-168Scientia Agricola; Vol. 74 No. 2 (2017); 163-1681678-992X0103-9016reponame:Scientia Agrícola (Online)instname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/sa/article/view/130937/127396Copyright (c) 2017 Scientia Agricolainfo:eu-repo/semantics/openAccessRibeiro, Carlos Alexandre GomesPinto, Marcos de OliveiraMaciel, Talles Eduardo FerreiraPastina, Maria MartaBarros, Everaldo Gonçalves deGuimarães, Claudia Teixeira2017-06-12T11:50:07Zoai:revistas.usp.br:article/130937Revistahttp://revistas.usp.br/sa/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpscientia@usp.br||alleoni@usp.br1678-992X0103-9016opendoar:2017-06-12T11:50:07Scientia Agrícola (Online) - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Universal tail sequence-SSR applied to molecular characterization of tropical maize hybrids
title Universal tail sequence-SSR applied to molecular characterization of tropical maize hybrids
spellingShingle Universal tail sequence-SSR applied to molecular characterization of tropical maize hybrids
Ribeiro, Carlos Alexandre Gomes
Zea mays
fingerprinting
genotyping
cultivar protection
title_short Universal tail sequence-SSR applied to molecular characterization of tropical maize hybrids
title_full Universal tail sequence-SSR applied to molecular characterization of tropical maize hybrids
title_fullStr Universal tail sequence-SSR applied to molecular characterization of tropical maize hybrids
title_full_unstemmed Universal tail sequence-SSR applied to molecular characterization of tropical maize hybrids
title_sort Universal tail sequence-SSR applied to molecular characterization of tropical maize hybrids
author Ribeiro, Carlos Alexandre Gomes
author_facet Ribeiro, Carlos Alexandre Gomes
Pinto, Marcos de Oliveira
Maciel, Talles Eduardo Ferreira
Pastina, Maria Marta
Barros, Everaldo Gonçalves de
Guimarães, Claudia Teixeira
author_role author
author2 Pinto, Marcos de Oliveira
Maciel, Talles Eduardo Ferreira
Pastina, Maria Marta
Barros, Everaldo Gonçalves de
Guimarães, Claudia Teixeira
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Ribeiro, Carlos Alexandre Gomes
Pinto, Marcos de Oliveira
Maciel, Talles Eduardo Ferreira
Pastina, Maria Marta
Barros, Everaldo Gonçalves de
Guimarães, Claudia Teixeira
dc.subject.por.fl_str_mv Zea mays
fingerprinting
genotyping
cultivar protection
topic Zea mays
fingerprinting
genotyping
cultivar protection
description The development of efficient and low-cost genotyping methods is essential to precise genetic characterization of cultivars. Here, we present a system based on fluorescently labeled universal tail sequence primers (UTSP) to resolve microsatellite (SSR) markers as an alternative for molecular fingerprinting of maize. A set of 20 SSRs using the UTSP presented an average polymorphic information content of 0.84, which provided a probability of random identity ranging from 10−7 to 10−14, and a minimum exclusion power of 99.99998 % in a group of 48 tropical maize single-cross hybrids traded in Brazil. The genetic diversity analysis based on multidimensional scaling explained approximately 28 % of the total variance for the first two coordinates, tending to group the hybrids according to their respective origin. Additionally, this genotyping system presented a high distinctiveness capacity, which is widely recommended for genetic purity and fingerprinting analyses. Thus, this marker system has a strong potential as a tool for complementary analysis of distinguishability, uniformity and stability required for cultivar registration.
publishDate 2017
dc.date.none.fl_str_mv 2017-04-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://www.revistas.usp.br/sa/article/view/130937
10.1590/1678-992x-2016-0079
url https://www.revistas.usp.br/sa/article/view/130937
identifier_str_mv 10.1590/1678-992x-2016-0079
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://www.revistas.usp.br/sa/article/view/130937/127396
dc.rights.driver.fl_str_mv Copyright (c) 2017 Scientia Agricola
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2017 Scientia Agricola
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz
publisher.none.fl_str_mv Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz
dc.source.none.fl_str_mv Scientia Agricola; v. 74 n. 2 (2017); 163-168
Scientia Agricola; Vol. 74 Núm. 2 (2017); 163-168
Scientia Agricola; Vol. 74 No. 2 (2017); 163-168
1678-992X
0103-9016
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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