Zhu Feng, Bulut Mustafa, Cheng Yunjiang, Alseekh Saleh, Fernie Alisdair R
National R&D Center for Citrus Preservation, Key Laboratory of Horticultural Plant Biology, Ministry of Education, Huazhong Agricultural University, Wuhan, China.
Max Planck Institute of Molecular Plant Physiology, Potsdam-Golm, Germany.
Methods Mol Biol. 2023;2642:241-255. doi: 10.1007/978-1-0716-3044-0_14.
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.
鉴于人为活动正在对气候产生深远影响，导致诸如严重干旱和热浪等更多极端事件，而全球对粮食的需求却在不断增加，了解植物对胁迫的反应至关重要。由于代谢物对于植物生长调节和植物寿命至关重要，并且是产量的重要组成部分，阐明植物在胁迫后代谢物景观如何变化将为如何提高植物抗逆性提供重要线索。最近，通过全基因组关联研究（GWAS）等不同遗传方法，已经获得了数十亿个单核苷酸多态性（SNP），并用于识别基因组遗传变异与相关作物农艺性状之间的关联。因此，在本章中，我们提供了关于大规模代谢组分析的实验设计、代谢物谱分析以及基于代谢物的全基因组关联研究（mGWAS）的全面指南，以加速未来对有价值的抗逆基因和代谢物的鉴定。
