Genetic diversity, population structure and AFLP markers associated with maize reaction to southern rust
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Bragantia |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052019000200183 |
Resumo: | ABSTRACT Maize is one of the species with greater genetic diversity among cereals and possibly the most diverse crop species known. Accessing this variability is essential for maize breeding, allowing breeders to achieve progress of yield increasing, overcome environmental challenges or deal with pests and diseases. Among the maize diseases, southern rust is one of the most important, causing significant losses in yield and presenting severe epidemics worldwide. In the present study, the AFLP technique was applied to analyze population structure and genetic diversity among 145 tropical maize inbred lines, and to test for preliminary evidence of association between AFLP markers and the reaction to southern rust. Disease severity was evaluated in two crop seasons and the accessions were genotyped through AFLP using four primer combinations. The clusters obtained based on the Jaccard genetic distance and Ward’s hierarchical clustering and those achieved by structure simulations had high concordance and were capable of establish two big clusters, one predominantly of common maize and another of popcorn. The association analysis was performed using four different statistical models. The more complete model containing both population structure and genetic relatedness narrowed the number of significant associations, demonstrating its importance to control false associations. A total of 19 significant marker associations were identified from which three (EactMctg18, EactMctg205, EactMctg169) are interesting candidates for further investigations. |
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Genetic diversity, population structure and AFLP markers associated with maize reaction to southern rustZea maysgwasassociation studiescluster analysisgenetic distancePuccinia polysoraABSTRACT Maize is one of the species with greater genetic diversity among cereals and possibly the most diverse crop species known. Accessing this variability is essential for maize breeding, allowing breeders to achieve progress of yield increasing, overcome environmental challenges or deal with pests and diseases. Among the maize diseases, southern rust is one of the most important, causing significant losses in yield and presenting severe epidemics worldwide. In the present study, the AFLP technique was applied to analyze population structure and genetic diversity among 145 tropical maize inbred lines, and to test for preliminary evidence of association between AFLP markers and the reaction to southern rust. Disease severity was evaluated in two crop seasons and the accessions were genotyped through AFLP using four primer combinations. The clusters obtained based on the Jaccard genetic distance and Ward’s hierarchical clustering and those achieved by structure simulations had high concordance and were capable of establish two big clusters, one predominantly of common maize and another of popcorn. The association analysis was performed using four different statistical models. The more complete model containing both population structure and genetic relatedness narrowed the number of significant associations, demonstrating its importance to control false associations. A total of 19 significant marker associations were identified from which three (EactMctg18, EactMctg205, EactMctg169) are interesting candidates for further investigations.Instituto Agronômico de Campinas2019-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052019000200183Bragantia v.78 n.2 2019reponame:Bragantiainstname:Instituto Agronômico de Campinas (IAC)instacron:IAC10.1590/1678-4499.20180180info:eu-repo/semantics/openAccessGiordani,WillianScapim,Carlos AlbertoRuas,Paulo MaurícioRuas,Claudete de FátimaContreras-Soto,RodrigoCoan,MarlonFonseca,Inês Cristina de BatistaGonçalves,Leandro Simões Azeredoeng2019-06-27T00:00:00Zoai:scielo:S0006-87052019000200183Revistahttps://www.scielo.br/j/brag/https://old.scielo.br/oai/scielo-oai.phpbragantia@iac.sp.gov.br||bragantia@iac.sp.gov.br1678-44990006-8705opendoar:2019-06-27T00:00Bragantia - Instituto Agronômico de Campinas (IAC)false |
dc.title.none.fl_str_mv |
Genetic diversity, population structure and AFLP markers associated with maize reaction to southern rust |
title |
Genetic diversity, population structure and AFLP markers associated with maize reaction to southern rust |
spellingShingle |
Genetic diversity, population structure and AFLP markers associated with maize reaction to southern rust Giordani,Willian Zea mays gwas association studies cluster analysis genetic distance Puccinia polysora |
title_short |
Genetic diversity, population structure and AFLP markers associated with maize reaction to southern rust |
title_full |
Genetic diversity, population structure and AFLP markers associated with maize reaction to southern rust |
title_fullStr |
Genetic diversity, population structure and AFLP markers associated with maize reaction to southern rust |
title_full_unstemmed |
Genetic diversity, population structure and AFLP markers associated with maize reaction to southern rust |
title_sort |
Genetic diversity, population structure and AFLP markers associated with maize reaction to southern rust |
author |
Giordani,Willian |
author_facet |
Giordani,Willian Scapim,Carlos Alberto Ruas,Paulo Maurício Ruas,Claudete de Fátima Contreras-Soto,Rodrigo Coan,Marlon Fonseca,Inês Cristina de Batista Gonçalves,Leandro Simões Azeredo |
author_role |
author |
author2 |
Scapim,Carlos Alberto Ruas,Paulo Maurício Ruas,Claudete de Fátima Contreras-Soto,Rodrigo Coan,Marlon Fonseca,Inês Cristina de Batista Gonçalves,Leandro Simões Azeredo |
author2_role |
author author author author author author author |
dc.contributor.author.fl_str_mv |
Giordani,Willian Scapim,Carlos Alberto Ruas,Paulo Maurício Ruas,Claudete de Fátima Contreras-Soto,Rodrigo Coan,Marlon Fonseca,Inês Cristina de Batista Gonçalves,Leandro Simões Azeredo |
dc.subject.por.fl_str_mv |
Zea mays gwas association studies cluster analysis genetic distance Puccinia polysora |
topic |
Zea mays gwas association studies cluster analysis genetic distance Puccinia polysora |
description |
ABSTRACT Maize is one of the species with greater genetic diversity among cereals and possibly the most diverse crop species known. Accessing this variability is essential for maize breeding, allowing breeders to achieve progress of yield increasing, overcome environmental challenges or deal with pests and diseases. Among the maize diseases, southern rust is one of the most important, causing significant losses in yield and presenting severe epidemics worldwide. In the present study, the AFLP technique was applied to analyze population structure and genetic diversity among 145 tropical maize inbred lines, and to test for preliminary evidence of association between AFLP markers and the reaction to southern rust. Disease severity was evaluated in two crop seasons and the accessions were genotyped through AFLP using four primer combinations. The clusters obtained based on the Jaccard genetic distance and Ward’s hierarchical clustering and those achieved by structure simulations had high concordance and were capable of establish two big clusters, one predominantly of common maize and another of popcorn. The association analysis was performed using four different statistical models. The more complete model containing both population structure and genetic relatedness narrowed the number of significant associations, demonstrating its importance to control false associations. A total of 19 significant marker associations were identified from which three (EactMctg18, EactMctg205, EactMctg169) are interesting candidates for further investigations. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-06-01 |
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=S0006-87052019000200183 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052019000200183 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1678-4499.20180180 |
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 |
Instituto Agronômico de Campinas |
publisher.none.fl_str_mv |
Instituto Agronômico de Campinas |
dc.source.none.fl_str_mv |
Bragantia v.78 n.2 2019 reponame:Bragantia instname:Instituto Agronômico de Campinas (IAC) instacron:IAC |
instname_str |
Instituto Agronômico de Campinas (IAC) |
instacron_str |
IAC |
institution |
IAC |
reponame_str |
Bragantia |
collection |
Bragantia |
repository.name.fl_str_mv |
Bragantia - Instituto Agronômico de Campinas (IAC) |
repository.mail.fl_str_mv |
bragantia@iac.sp.gov.br||bragantia@iac.sp.gov.br |
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1754193307257274368 |