Universal tail sequence-SSR applied to molecular characterization of tropical maize hybrids
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , |
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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Scientia Agrícola (Online) |
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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 |
_version_ |
1800222792943140864 |