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Book Chapter

Metabolite-Based Genome-Wide Association Studies of Large-Scale Metabolome Analysis to Illustrate Alterations in the Metabolite Landscape of Plants upon Responses to Stresses

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Zhu,  F.
Central Metabolism, Department Gutjahr, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

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Bulut,  M.
The Genetics of Crop Metabolism, Department Gutjahr, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

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Alseekh,  S.
The Genetics of Crop Metabolism, Department Gutjahr, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

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Fernie,  A. R.
Central Metabolism, Department Gutjahr, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

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Citation

Zhu, F., Bulut, M., Cheng, Y., Alseekh, S., & Fernie, A. R. (2023). Metabolite-Based Genome-Wide Association Studies of Large-Scale Metabolome Analysis to Illustrate Alterations in the Metabolite Landscape of Plants upon Responses to Stresses. In Methods in Molecular Biology (pp. 241-255). doi:10.1007/978-1-0716-3044-0_14.


Cite as: https://hdl.handle.net/21.11116/0000-000C-E892-9
Abstract
Given that anthropogenic activities are evoking a profound effect on the climate resulting in more extreme events such as severe drought and heat waves while global demand for food is ever-increasing, understanding plant responses to stresses is critical. As metabolites are fundamental for plant growth regulation and plant lifespan and an important component of yield, illustrating how the metabolite landscape of plant changes following stress will supply important clues as to how to improve the plant resistance to stress. Recently, billions of single-nucleotide polymorphisms (SNPs) have been obtained and used to identify the associations between genetic variants of genomes and relevant crop agronomic traits through different genetic methods such as genome-wide association studies (GWAS). Therefore, in this chapter, we provide comprehensive guidelines concerning the experimental design, metabolite profiling, and metabolite-based genome-wide association studies (mGWAS) of large-scale metabolome analysis to accelerate the future identification of the valuable stress-resistant genes and metabolites.