Metabolomics-centered mining of plant metabolic diversity and function:Past decade and future perspectives
作者机构：Sanya Nanfan Research Institute of Hainan UniversityHainan Yazhou Bay Seed LaboratorySanya 572025China College of Tropical CropsHainan UniversityHaikou 570228China Max Planck Institute of Molecular Plant PhysiologyPotsdam-Golm 14476Germany
出 版 物：《Molecular Plant》 (分子植物（英文版）)
年 卷 期：2023年第16卷第1期
页 面：43-63页
核心收录：
学科分类：0710[理学-生物学] 07[理学] 071007[理学-遗传学]
基 金：Hainan Yazhou Bay Seed Lab(no.B21HJ0903) "111"Project(no.D20024) National Natural Science Foundation of China(no.32100318) China National Postdoctoral Program for Innovative Talents(BX20220097) China Postdoctoral Sci-ence Foundation(2022M710991 and,2021TQ0093) Hainan Yazhou Bay Seed Laboratory(B21Y10904) Hainan University Startup Fund(KYQD(ZR)1866) Hainan Provincial Natural Science Foundation of China(321QN184)
主 题：metabolomics multi-omics high-throughput metabolic profiling bioactive markers
摘 要：Plants are natural experts in organic synthesis,being able to generate large numbers of specific metabolites with widely varying structures that help them adapt to variable survival *** is a research discipline that integrates the capabilities of several types of research including analytical chemistry,statistics,and *** ongoing development provides strategies for gaining a systematic understanding of quantitative changes in the levels of *** is usually performed by targeting either a specific cell,a specific tissue,or the entire *** advances in science and technology over the last three decades have propelled us into the era of multi-omics,in which metabolomics,despite at an earlier developmental stage than genomics,transcriptomics,and proteomics,offers the distinct advantage of studying the cellular entities that have the greatest influence on end ***,we summarize the state of the art of metabolite detection and identification,and illustrate these techniques with four case study applications:(i)comparing metabolite composition within and between species,(ii)assessing spatio-temporal metabolic changes during plant development,(iii)mining characteristic metabolites of plants in different ecological environments and upon exposure to various stresses,and(iv)assessing the performance of metabolomics as a means of functional gene identification,metabolic pathway elucidation,and metabolomics-assisted breeding through analyzing plant populations with diverse genetic *** addition,we highlight the prominent contributions of joint analyses of plant metabolomics and other omics datasets,including those from genomics,transcriptomics,proteomics,epigenomics,phenomics,microbiomes,and ion-omics ***,we discuss future directions and challenges exploiting metabolomics-centered approaches in understanding plant metabolic diversity.
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