Carnegie Institution for Science, Department of Plant Biology, Stanford, CA, USA.
Carnegie Institution for Science, Department of Plant Biology, Stanford, CA, USA.
Curr Opin Plant Biol. 2022 Jun;67:102222. doi: 10.1016/j.pbi.2022.102222. Epub 2022 May 2.
Plants produce a vast array of metabolites, the biosynthetic routes of which remain largely undetermined. Genome-scale enzyme and pathway annotations and omics technologies have revolutionized research to decrypt plant metabolism and produced a growing list of functionally characterized metabolic genes and pathways. However, what is known is still a tiny fraction of the metabolic capacity harbored by plants. Here, we review plant enzyme and pathway annotation resources and cutting-edge omics approaches to guide discovery and characterization of plant metabolic pathways. We also discuss strategies for improving enzyme function prediction by integrating protein 3D structure information and single cell omics. This review aims to serve as a primer for plant biologists to leverage omics datasets to facilitate understanding and engineering plant metabolism.
植物产生了大量的代谢物，但其生物合成途径在很大程度上仍未确定。基因组规模的酶和途径注释以及组学技术彻底改变了研究植物代谢的方式，并产生了越来越多功能表征的代谢基因和途径。然而，目前已知的仍然只是植物代谢能力的一小部分。在这里，我们回顾了植物酶和途径注释资源以及前沿的组学方法，以指导植物代谢途径的发现和表征。我们还讨论了通过整合蛋白质 3D 结构信息和单细胞组学来改进酶功能预测的策略。本综述旨在为植物生物学家提供一个入门指南，以利用组学数据集来促进对植物代谢的理解和工程改造。
