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Molecular mechanisms of drought resistance using genome-wide association mapping in maize (Zea mays L.)

BACKGROUND: Drought is a critical abiotic stress that influences maize yield and reduces grain yield when it occurs at the flowering or filling stage. To dissect the genetic architecture of grain yield under drought stress (DS), a genome-wide association analysis was conducted in a maize population...

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Autores principales: Ningning, Zhang, Binbin, Liu, Fan, Ye, Jianzhong, Chang, Yuqian, Zhou, Yejian, Wang, Wenjie, Zhang, Xinghua, Zhang, Shutu, Xu, Jiquan, Xue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10557160/
https://www.ncbi.nlm.nih.gov/pubmed/37803273
http://dx.doi.org/10.1186/s12870-023-04489-0
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author Ningning, Zhang
Binbin, Liu
Fan, Ye
Jianzhong, Chang
Yuqian, Zhou
Yejian, Wang
Wenjie, Zhang
Xinghua, Zhang
Shutu, Xu
Jiquan, Xue
author_facet Ningning, Zhang
Binbin, Liu
Fan, Ye
Jianzhong, Chang
Yuqian, Zhou
Yejian, Wang
Wenjie, Zhang
Xinghua, Zhang
Shutu, Xu
Jiquan, Xue
author_sort Ningning, Zhang
collection PubMed
description BACKGROUND: Drought is a critical abiotic stress that influences maize yield and reduces grain yield when it occurs at the flowering or filling stage. To dissect the genetic architecture of grain yield under drought stress (DS), a genome-wide association analysis was conducted in a maize population composed of diverse inbred lines from five locations under well-watered and DS conditions at flowering in 2019 and 2020. RESULTS: Using a fixed and random model circulating probability unification model, a total of 147 loci associated with grain yield or the drought resistance index (DRI) were identified, of which 54 loci were associated with a DRI with an average phenotypic variation explanation of 4.03%. Further, 10 of these loci explained more than 10% of the phenotypic variation. By integrating two public transcriptome datasets, 22 differentially expressed genes were considered as candidate genes, including the cloned gene ZmNAC49, which responds to drought by regulating stomatal density. Enrichment and protein interaction network showed that signaling pathways responded to drought resistance, including jasmonic acid and salicylic acid, mitogen-activated protein kinase, and abscisic acid-activated. Additionally, several transcription factors involved in DS were identified, including basic leucine zipper (GRMZM2G370026), NAC (GRMZM2G347043), and ethylene-responsive element binding protein (GRMZM2G169654). CONCLUSIONS: In this study, we nominated several genes as candidate genes for drought resistance by intergrating association maping and transcription analysis. These results provide valuable information for understanding the genetic basis of drought tolerance at the mature stage and for designing drought-tolerant maize breeding. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-023-04489-0.
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spelling pubmed-105571602023-10-07 Molecular mechanisms of drought resistance using genome-wide association mapping in maize (Zea mays L.) Ningning, Zhang Binbin, Liu Fan, Ye Jianzhong, Chang Yuqian, Zhou Yejian, Wang Wenjie, Zhang Xinghua, Zhang Shutu, Xu Jiquan, Xue BMC Plant Biol Research BACKGROUND: Drought is a critical abiotic stress that influences maize yield and reduces grain yield when it occurs at the flowering or filling stage. To dissect the genetic architecture of grain yield under drought stress (DS), a genome-wide association analysis was conducted in a maize population composed of diverse inbred lines from five locations under well-watered and DS conditions at flowering in 2019 and 2020. RESULTS: Using a fixed and random model circulating probability unification model, a total of 147 loci associated with grain yield or the drought resistance index (DRI) were identified, of which 54 loci were associated with a DRI with an average phenotypic variation explanation of 4.03%. Further, 10 of these loci explained more than 10% of the phenotypic variation. By integrating two public transcriptome datasets, 22 differentially expressed genes were considered as candidate genes, including the cloned gene ZmNAC49, which responds to drought by regulating stomatal density. Enrichment and protein interaction network showed that signaling pathways responded to drought resistance, including jasmonic acid and salicylic acid, mitogen-activated protein kinase, and abscisic acid-activated. Additionally, several transcription factors involved in DS were identified, including basic leucine zipper (GRMZM2G370026), NAC (GRMZM2G347043), and ethylene-responsive element binding protein (GRMZM2G169654). CONCLUSIONS: In this study, we nominated several genes as candidate genes for drought resistance by intergrating association maping and transcription analysis. These results provide valuable information for understanding the genetic basis of drought tolerance at the mature stage and for designing drought-tolerant maize breeding. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-023-04489-0. BioMed Central 2023-10-06 /pmc/articles/PMC10557160/ /pubmed/37803273 http://dx.doi.org/10.1186/s12870-023-04489-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Ningning, Zhang
Binbin, Liu
Fan, Ye
Jianzhong, Chang
Yuqian, Zhou
Yejian, Wang
Wenjie, Zhang
Xinghua, Zhang
Shutu, Xu
Jiquan, Xue
Molecular mechanisms of drought resistance using genome-wide association mapping in maize (Zea mays L.)
title Molecular mechanisms of drought resistance using genome-wide association mapping in maize (Zea mays L.)
title_full Molecular mechanisms of drought resistance using genome-wide association mapping in maize (Zea mays L.)
title_fullStr Molecular mechanisms of drought resistance using genome-wide association mapping in maize (Zea mays L.)
title_full_unstemmed Molecular mechanisms of drought resistance using genome-wide association mapping in maize (Zea mays L.)
title_short Molecular mechanisms of drought resistance using genome-wide association mapping in maize (Zea mays L.)
title_sort molecular mechanisms of drought resistance using genome-wide association mapping in maize (zea mays l.)
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10557160/
https://www.ncbi.nlm.nih.gov/pubmed/37803273
http://dx.doi.org/10.1186/s12870-023-04489-0
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