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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer-Verlag
2012
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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. |
format | Online Article Text |
id | pubmed-3579412 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Springer-Verlag |
record_format | MEDLINE/PubMed |
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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