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Genomic basis underlying the metabolome-mediated drought adaptation of maize

BACKGROUND: Drought is a major environmental disaster that causes crop yield loss worldwide. Metabolites are involved in various environmental stress responses of plants. However, the genetic control of metabolomes underlying crop environmental stress adaptation remains elusive. RESULTS: Here, we pe...

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Autores principales: Zhang, Fei, Wu, Jinfeng, Sade, Nir, Wu, Si, Egbaria, Aiman, Fernie, Alisdair R., Yan, Jianbing, Qin, Feng, Chen, Wei, Brotman, Yariv, Dai, Mingqiu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8420056/
https://www.ncbi.nlm.nih.gov/pubmed/34488839
http://dx.doi.org/10.1186/s13059-021-02481-1
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author Zhang, Fei
Wu, Jinfeng
Sade, Nir
Wu, Si
Egbaria, Aiman
Fernie, Alisdair R.
Yan, Jianbing
Qin, Feng
Chen, Wei
Brotman, Yariv
Dai, Mingqiu
author_facet Zhang, Fei
Wu, Jinfeng
Sade, Nir
Wu, Si
Egbaria, Aiman
Fernie, Alisdair R.
Yan, Jianbing
Qin, Feng
Chen, Wei
Brotman, Yariv
Dai, Mingqiu
author_sort Zhang, Fei
collection PubMed
description BACKGROUND: Drought is a major environmental disaster that causes crop yield loss worldwide. Metabolites are involved in various environmental stress responses of plants. However, the genetic control of metabolomes underlying crop environmental stress adaptation remains elusive. RESULTS: Here, we perform non-targeted metabolic profiling of leaves for 385 maize natural inbred lines grown under well-watered as well as drought-stressed conditions. A total of 3890 metabolites are identified and 1035 of these are differentially produced between well-watered and drought-stressed conditions, representing effective indicators of maize drought response and tolerance. Genetic dissections reveal the associations between these metabolites and thousands of single-nucleotide polymorphisms (SNPs), which represented 3415 metabolite quantitative trait loci (mQTLs) and 2589 candidate genes. 78.6% of mQTLs (2684/3415) are novel drought-responsive QTLs. The regulatory variants that control the expression of the candidate genes are revealed by expression QTL (eQTL) analysis of the transcriptomes of leaves from 197 maize natural inbred lines. Integrated metabolic and transcriptomic assays identify dozens of environment-specific hub genes and their gene-metabolite regulatory networks. Comprehensive genetic and molecular studies reveal the roles and mechanisms of two hub genes, Bx12 and ZmGLK44, in regulating maize metabolite biosynthesis and drought tolerance. CONCLUSION: Our studies reveal the first population-level metabolomes in crop drought response and uncover the natural variations and genetic control of these metabolomes underlying crop drought adaptation, demonstrating that multi-omics is a powerful strategy to dissect the genetic mechanisms of crop complex traits. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-021-02481-1.
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spelling pubmed-84200562021-09-09 Genomic basis underlying the metabolome-mediated drought adaptation of maize Zhang, Fei Wu, Jinfeng Sade, Nir Wu, Si Egbaria, Aiman Fernie, Alisdair R. Yan, Jianbing Qin, Feng Chen, Wei Brotman, Yariv Dai, Mingqiu Genome Biol Research BACKGROUND: Drought is a major environmental disaster that causes crop yield loss worldwide. Metabolites are involved in various environmental stress responses of plants. However, the genetic control of metabolomes underlying crop environmental stress adaptation remains elusive. RESULTS: Here, we perform non-targeted metabolic profiling of leaves for 385 maize natural inbred lines grown under well-watered as well as drought-stressed conditions. A total of 3890 metabolites are identified and 1035 of these are differentially produced between well-watered and drought-stressed conditions, representing effective indicators of maize drought response and tolerance. Genetic dissections reveal the associations between these metabolites and thousands of single-nucleotide polymorphisms (SNPs), which represented 3415 metabolite quantitative trait loci (mQTLs) and 2589 candidate genes. 78.6% of mQTLs (2684/3415) are novel drought-responsive QTLs. The regulatory variants that control the expression of the candidate genes are revealed by expression QTL (eQTL) analysis of the transcriptomes of leaves from 197 maize natural inbred lines. Integrated metabolic and transcriptomic assays identify dozens of environment-specific hub genes and their gene-metabolite regulatory networks. Comprehensive genetic and molecular studies reveal the roles and mechanisms of two hub genes, Bx12 and ZmGLK44, in regulating maize metabolite biosynthesis and drought tolerance. CONCLUSION: Our studies reveal the first population-level metabolomes in crop drought response and uncover the natural variations and genetic control of these metabolomes underlying crop drought adaptation, demonstrating that multi-omics is a powerful strategy to dissect the genetic mechanisms of crop complex traits. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-021-02481-1. BioMed Central 2021-09-06 /pmc/articles/PMC8420056/ /pubmed/34488839 http://dx.doi.org/10.1186/s13059-021-02481-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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
Zhang, Fei
Wu, Jinfeng
Sade, Nir
Wu, Si
Egbaria, Aiman
Fernie, Alisdair R.
Yan, Jianbing
Qin, Feng
Chen, Wei
Brotman, Yariv
Dai, Mingqiu
Genomic basis underlying the metabolome-mediated drought adaptation of maize
title Genomic basis underlying the metabolome-mediated drought adaptation of maize
title_full Genomic basis underlying the metabolome-mediated drought adaptation of maize
title_fullStr Genomic basis underlying the metabolome-mediated drought adaptation of maize
title_full_unstemmed Genomic basis underlying the metabolome-mediated drought adaptation of maize
title_short Genomic basis underlying the metabolome-mediated drought adaptation of maize
title_sort genomic basis underlying the metabolome-mediated drought adaptation of maize
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8420056/
https://www.ncbi.nlm.nih.gov/pubmed/34488839
http://dx.doi.org/10.1186/s13059-021-02481-1
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