Departamento de Botânica, Instituto de Biociências, Universidade de São Paulo, São Paulo, Brazil.
Instituto Federal de Educação, Ciência e Tecnologia do Norte de Minas Gerais, Januária, Brazil.
Adv Exp Med Biol. 2021;1346:91-105. doi: 10.1007/978-3-030-80352-0_5.
Metabolomics is a valuable approach used to acquire comprehensive information about the set of metabolites in a cell or tissue, enabling a functional screen of the cellular activities in biological systems. Although metabolomics provides a more immediate and dynamic picture of phenotypes in comparison to the other omics, it is also the most complicated to measure because no single analytical technology can capture the extraordinary complexity of metabolite diversity in terms of structure and physical properties. Metabolomics has been extensively employed for a wide range of applications in plant science, which will be described in detail in this chapter. Among them, metabolomics is used for discriminating patterns of plant responses to genetic and environmental perturbations, as diagnostics and prediction tool to elucidate the function of genes for important and complex agronomic traits in crop species, and flux measurements are used to dissect the structure and regulatory properties of metabolic networks.
代谢组学是一种有价值的方法,用于获取细胞或组织中代谢物组的全面信息,从而对生物系统中的细胞活动进行功能筛选。尽管与其他组学相比,代谢组学提供了更直接和动态的表型图像,但它也是最难测量的,因为没有单一的分析技术可以捕捉到在结构和物理性质方面代谢物多样性的非凡复杂性。代谢组学已经在植物科学的广泛应用中得到了广泛的应用,本章将详细描述。其中,代谢组学用于区分植物对遗传和环境干扰的反应模式,作为诊断和预测工具,阐明作物物种中重要和复杂农艺性状基因的功能,通量测量用于剖析代谢网络的结构和调节特性。