Ghatak Arindam, Chaturvedi Palak, Weckwerth Wolfram
Department of Ecogenomics and Systems Biology, Faculty of Sciences, University of Vienna, Vienna, Austria.
Vienna Metabolomics Center (VIME), University of Vienna, Althanstrasse 14, 1090, Vienna, Austria.
Adv Biochem Eng Biotechnol. 2018;164:187-236. doi: 10.1007/10_2017_55.
Metabolomics is an essential technology for functional genomics and systems biology. It plays a key role in functional annotation of genes and understanding towards cellular and molecular, biotic and abiotic stress responses. Different analytical techniques are used to extend the coverage of a full metabolome. The commonly used techniques are NMR, CE-MS, LC-MS, and GC-MS. The choice of a suitable technique depends on the speed, sensitivity, and accuracy. This chapter provides insight into plant metabolomic techniques, databases used in the analysis, data mining and processing, compound identification, and limitations in metabolomics. It also describes the workflow of measuring metabolites in plants. Metabolomic studies in plant responses to stress are a key research topic in many laboratories worldwide. We summarize different approaches and provide a generic overview of stress responsive metabolite markers and processes compiled from a broad range of different studies. Graphical Abstract.
代谢组学是功能基因组学和系统生物学的一项重要技术。它在基因功能注释以及对细胞与分子、生物与非生物胁迫反应的理解中发挥着关键作用。不同的分析技术被用于扩大全代谢组的覆盖范围。常用技术包括核磁共振(NMR)、毛细管电泳-质谱联用(CE-MS)、液相色谱-质谱联用(LC-MS)和气相色谱-质谱联用(GC-MS)。合适技术的选择取决于速度、灵敏度和准确性。本章深入介绍了植物代谢组学技术、分析中使用的数据库、数据挖掘与处理、化合物鉴定以及代谢组学的局限性。它还描述了植物中代谢物测量的工作流程。植物对胁迫反应的代谢组学研究是全球许多实验室的关键研究课题。我们总结了不同的方法,并对从广泛不同研究中汇编的胁迫响应代谢物标记和过程进行了总体概述。图形摘要。