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QTL mapping in three tropical maize populations reveals a set of constitutive and adaptive genomic regions for drought tolerance

Despite numerous published reports of quantitative trait loci (QTL) for drought-related traits, practical applications of such QTL in maize improvement are scarce. Identifying QTL of sizeable effects that express more or less uniformly in diverse genetic backgrounds across contrasting water regimes...

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Autores principales: Almeida, Gustavo Dias, Makumbi, Dan, Magorokosho, Cosmos, Nair, Sudha, Borém, Aluízio, Ribaut, Jean-Marcel, Bänziger, Marianne, Prasanna, Boddupalli M., Crossa, Jose, Babu, Raman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer-Verlag 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3579412/
https://www.ncbi.nlm.nih.gov/pubmed/23124431
http://dx.doi.org/10.1007/s00122-012-2003-7
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author Almeida, Gustavo Dias
Makumbi, Dan
Magorokosho, Cosmos
Nair, Sudha
Borém, Aluízio
Ribaut, Jean-Marcel
Bänziger, Marianne
Prasanna, Boddupalli M.
Crossa, Jose
Babu, Raman
author_facet Almeida, Gustavo Dias
Makumbi, Dan
Magorokosho, Cosmos
Nair, Sudha
Borém, Aluízio
Ribaut, Jean-Marcel
Bänziger, Marianne
Prasanna, Boddupalli M.
Crossa, Jose
Babu, Raman
author_sort Almeida, Gustavo Dias
collection PubMed
description Despite numerous published reports of quantitative trait loci (QTL) for drought-related traits, practical applications of such QTL in maize improvement are scarce. Identifying QTL of sizeable effects that express more or less uniformly in diverse genetic backgrounds across contrasting water regimes could significantly complement conventional breeding efforts to improve drought tolerance. We evaluated three tropical bi-parental populations under water-stress (WS) and well-watered (WW) regimes in Mexico, Kenya and Zimbabwe to identify genomic regions responsible for grain yield (GY) and anthesis-silking interval (ASI) across multiple environments and diverse genetic backgrounds. Across the three populations, on average, drought stress reduced GY by more than 50 % and increased ASI by 3.2 days. We identified a total of 83 and 62 QTL through individual environment analyses for GY and ASI, respectively. In each population, most QTL consistently showed up in each water regime. Across the three populations, the phenotypic variance explained by various individual QTL ranged from 2.6 to 17.8 % for GY and 1.7 to 17.8 % for ASI under WS environments and from 5 to 19.5 % for GY under WW environments. Meta-QTL (mQTL) analysis across the three populations and multiple environments identified seven genomic regions for GY and one for ASI, of which six mQTL on chr.1, 4, 5 and 10 for GY were constitutively expressed across WS and WW environments. One mQTL on chr.7 for GY and one on chr.3 for ASI were found to be ‘adaptive’ to WS conditions. High throughput assays were developed for SNPs that delimit the physical intervals of these mQTL. At most of the QTL, almost equal number of favorable alleles was donated by either of the parents within each cross, thereby demonstrating the potential of drought tolerant × drought tolerant crosses to identify QTL under contrasting water regimes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00122-012-2003-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-35794122013-02-26 QTL mapping in three tropical maize populations reveals a set of constitutive and adaptive genomic regions for drought tolerance Almeida, Gustavo Dias Makumbi, Dan Magorokosho, Cosmos Nair, Sudha Borém, Aluízio Ribaut, Jean-Marcel Bänziger, Marianne Prasanna, Boddupalli M. Crossa, Jose Babu, Raman Theor Appl Genet Original Paper Despite numerous published reports of quantitative trait loci (QTL) for drought-related traits, practical applications of such QTL in maize improvement are scarce. Identifying QTL of sizeable effects that express more or less uniformly in diverse genetic backgrounds across contrasting water regimes could significantly complement conventional breeding efforts to improve drought tolerance. We evaluated three tropical bi-parental populations under water-stress (WS) and well-watered (WW) regimes in Mexico, Kenya and Zimbabwe to identify genomic regions responsible for grain yield (GY) and anthesis-silking interval (ASI) across multiple environments and diverse genetic backgrounds. Across the three populations, on average, drought stress reduced GY by more than 50 % and increased ASI by 3.2 days. We identified a total of 83 and 62 QTL through individual environment analyses for GY and ASI, respectively. In each population, most QTL consistently showed up in each water regime. Across the three populations, the phenotypic variance explained by various individual QTL ranged from 2.6 to 17.8 % for GY and 1.7 to 17.8 % for ASI under WS environments and from 5 to 19.5 % for GY under WW environments. Meta-QTL (mQTL) analysis across the three populations and multiple environments identified seven genomic regions for GY and one for ASI, of which six mQTL on chr.1, 4, 5 and 10 for GY were constitutively expressed across WS and WW environments. One mQTL on chr.7 for GY and one on chr.3 for ASI were found to be ‘adaptive’ to WS conditions. High throughput assays were developed for SNPs that delimit the physical intervals of these mQTL. At most of the QTL, almost equal number of favorable alleles was donated by either of the parents within each cross, thereby demonstrating the potential of drought tolerant × drought tolerant crosses to identify QTL under contrasting water regimes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00122-012-2003-7) contains supplementary material, which is available to authorized users. Springer-Verlag 2012-11-04 2013 /pmc/articles/PMC3579412/ /pubmed/23124431 http://dx.doi.org/10.1007/s00122-012-2003-7 Text en © The Author(s) 2012 https://creativecommons.org/licenses/by/4.0/ This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
spellingShingle Original Paper
Almeida, Gustavo Dias
Makumbi, Dan
Magorokosho, Cosmos
Nair, Sudha
Borém, Aluízio
Ribaut, Jean-Marcel
Bänziger, Marianne
Prasanna, Boddupalli M.
Crossa, Jose
Babu, Raman
QTL mapping in three tropical maize populations reveals a set of constitutive and adaptive genomic regions for drought tolerance
title QTL mapping in three tropical maize populations reveals a set of constitutive and adaptive genomic regions for drought tolerance
title_full QTL mapping in three tropical maize populations reveals a set of constitutive and adaptive genomic regions for drought tolerance
title_fullStr QTL mapping in three tropical maize populations reveals a set of constitutive and adaptive genomic regions for drought tolerance
title_full_unstemmed QTL mapping in three tropical maize populations reveals a set of constitutive and adaptive genomic regions for drought tolerance
title_short QTL mapping in three tropical maize populations reveals a set of constitutive and adaptive genomic regions for drought tolerance
title_sort qtl mapping in three tropical maize populations reveals a set of constitutive and adaptive genomic regions for drought tolerance
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3579412/
https://www.ncbi.nlm.nih.gov/pubmed/23124431
http://dx.doi.org/10.1007/s00122-012-2003-7
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