Association mapping of drought tolerance indices in wheat: QTL-rich regions on chromosome 4A

Detalhes bibliográficos
Autor(a) principal: Ballesta, Paulina
Data de Publicação: 2020
Outros Autores: Mora, Freddy, Del Pozo, Alejandro
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Scientia Agrícola (Online)
Texto Completo: https://www.revistas.usp.br/sa/article/view/162834
Resumo: Drought is likely the main abiotic stress that affects wheat yield. The identification of drought-tolerant genotypes represents an effective way of dealing with the continuous decrease in water resources as well as the increase in world population. The aim of this study was to identify single nucleotide polymorphisms (SNP) associated with drought tolerance indices in wheat by using a genome-wide association study (GWAS) under fully irrigated and rain-fed conditions. The drought tolerance indices (i.e., Stress Susceptibility Index, Stress Tolerance Index, Tolerance Index and Yield Stability Index) were calculated based on grain yield, 1,000-kernel weight and kernels per spike. The association panel was genotyped using genotyping-bysequencing (GBS). A total of 175 SNPs exhibited statistical evidence of association with at least one drought tolerance index, explaining up to 6 % of the phenotypic variation. Forty-five SNPs were associated with more than one tolerance index (up to 4 agronomic traits). Most associations were located on chromosome 4A, supporting the hypothesis that this chromosome has a key role in drought tolerance which should be exploited for wheat improvement. In addition, statistical analysis detected SNPs associated with tolerance indices in both growing seasons, providing information about genetic regions with stable effects under different environmental conditions. This GWAS experiment serves as one of the few studies on association mapping for drought tolerance indices in wheat, which could increase the efficiency of rain-fed and irrigated crop production.
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spelling Association mapping of drought tolerance indices in wheat: QTL-rich regions on chromosome 4ASNP markers droughtgenome-wide association studyrain-fed conditionsDrought is likely the main abiotic stress that affects wheat yield. The identification of drought-tolerant genotypes represents an effective way of dealing with the continuous decrease in water resources as well as the increase in world population. The aim of this study was to identify single nucleotide polymorphisms (SNP) associated with drought tolerance indices in wheat by using a genome-wide association study (GWAS) under fully irrigated and rain-fed conditions. The drought tolerance indices (i.e., Stress Susceptibility Index, Stress Tolerance Index, Tolerance Index and Yield Stability Index) were calculated based on grain yield, 1,000-kernel weight and kernels per spike. The association panel was genotyped using genotyping-bysequencing (GBS). A total of 175 SNPs exhibited statistical evidence of association with at least one drought tolerance index, explaining up to 6 % of the phenotypic variation. Forty-five SNPs were associated with more than one tolerance index (up to 4 agronomic traits). Most associations were located on chromosome 4A, supporting the hypothesis that this chromosome has a key role in drought tolerance which should be exploited for wheat improvement. In addition, statistical analysis detected SNPs associated with tolerance indices in both growing seasons, providing information about genetic regions with stable effects under different environmental conditions. This GWAS experiment serves as one of the few studies on association mapping for drought tolerance indices in wheat, which could increase the efficiency of rain-fed and irrigated crop production.Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz2020-04-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/sa/article/view/16283410.1590/e20180153Scientia Agricola; v. 77 n. 2 (2020); e20180153Scientia Agricola; Vol. 77 Núm. 2 (2020); e20180153Scientia Agricola; Vol. 77 No. 2 (2020); e201801531678-992X0103-9016reponame:Scientia Agrícola (Online)instname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/sa/article/view/162834/156611Copyright (c) 2020 Scientia Agricolainfo:eu-repo/semantics/openAccessBallesta, PaulinaMora, FreddyDel Pozo, Alejandro2019-10-02T19:26:28Zoai:revistas.usp.br:article/162834Revistahttp://revistas.usp.br/sa/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpscientia@usp.br||alleoni@usp.br1678-992X0103-9016opendoar:2019-10-02T19:26:28Scientia Agrícola (Online) - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Association mapping of drought tolerance indices in wheat: QTL-rich regions on chromosome 4A
title Association mapping of drought tolerance indices in wheat: QTL-rich regions on chromosome 4A
spellingShingle Association mapping of drought tolerance indices in wheat: QTL-rich regions on chromosome 4A
Ballesta, Paulina
SNP markers drought
genome-wide association study
rain-fed conditions
title_short Association mapping of drought tolerance indices in wheat: QTL-rich regions on chromosome 4A
title_full Association mapping of drought tolerance indices in wheat: QTL-rich regions on chromosome 4A
title_fullStr Association mapping of drought tolerance indices in wheat: QTL-rich regions on chromosome 4A
title_full_unstemmed Association mapping of drought tolerance indices in wheat: QTL-rich regions on chromosome 4A
title_sort Association mapping of drought tolerance indices in wheat: QTL-rich regions on chromosome 4A
author Ballesta, Paulina
author_facet Ballesta, Paulina
Mora, Freddy
Del Pozo, Alejandro
author_role author
author2 Mora, Freddy
Del Pozo, Alejandro
author2_role author
author
dc.contributor.author.fl_str_mv Ballesta, Paulina
Mora, Freddy
Del Pozo, Alejandro
dc.subject.por.fl_str_mv SNP markers drought
genome-wide association study
rain-fed conditions
topic SNP markers drought
genome-wide association study
rain-fed conditions
description Drought is likely the main abiotic stress that affects wheat yield. The identification of drought-tolerant genotypes represents an effective way of dealing with the continuous decrease in water resources as well as the increase in world population. The aim of this study was to identify single nucleotide polymorphisms (SNP) associated with drought tolerance indices in wheat by using a genome-wide association study (GWAS) under fully irrigated and rain-fed conditions. The drought tolerance indices (i.e., Stress Susceptibility Index, Stress Tolerance Index, Tolerance Index and Yield Stability Index) were calculated based on grain yield, 1,000-kernel weight and kernels per spike. The association panel was genotyped using genotyping-bysequencing (GBS). A total of 175 SNPs exhibited statistical evidence of association with at least one drought tolerance index, explaining up to 6 % of the phenotypic variation. Forty-five SNPs were associated with more than one tolerance index (up to 4 agronomic traits). Most associations were located on chromosome 4A, supporting the hypothesis that this chromosome has a key role in drought tolerance which should be exploited for wheat improvement. In addition, statistical analysis detected SNPs associated with tolerance indices in both growing seasons, providing information about genetic regions with stable effects under different environmental conditions. This GWAS experiment serves as one of the few studies on association mapping for drought tolerance indices in wheat, which could increase the efficiency of rain-fed and irrigated crop production.
publishDate 2020
dc.date.none.fl_str_mv 2020-04-20
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/162834
10.1590/e20180153
url https://www.revistas.usp.br/sa/article/view/162834
identifier_str_mv 10.1590/e20180153
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://www.revistas.usp.br/sa/article/view/162834/156611
dc.rights.driver.fl_str_mv Copyright (c) 2020 Scientia Agricola
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 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. 77 n. 2 (2020); e20180153
Scientia Agricola; Vol. 77 Núm. 2 (2020); e20180153
Scientia Agricola; Vol. 77 No. 2 (2020); e20180153
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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