Yingchen Hao, Zhonghui Zhang, Enxi Luo, Jun Yang, Shouchuang Wang
{"title":"Plant metabolomics: applications and challenges in the era of multi-omics big data","authors":"Yingchen Hao, Zhonghui Zhang, Enxi Luo, Jun Yang, Shouchuang Wang","doi":"10.1007/s42994-024-00194-0","DOIUrl":null,"url":null,"abstract":"<div><p>Plant metabolites are crucial for the growth, development, environmental adaptation, and nutritional quality of plants. Plant metabolomics, a key branch of systems biology, involves the comprehensive analysis and interpretation of the composition, variation, and functions of these metabolites. Advances in technology have transformed plant metabolomics into a sophisticated process involving sample collection, metabolite extraction, high-throughput analysis, data processing, and multidimensional statistical analysis. In today’s era of big data, the field is witnessing an explosion in data acquisition, offering insight into the complexity and dynamics of plant metabolism. Moreover, multiple omics strategies can be integrated to reveal interactions and regulatory networks across different molecular levels, deepening our understanding of plant biological processes. In this review, we highlight recent advances and challenges in plant metabolomics, emphasizing the roles for this technique in improving crop varieties, enhancing nutritional value, and increasing stress resistance. We also explore the scientific foundations of plant metabolomics and its applications in medicine, and ecological conservation.</p></div>","PeriodicalId":53135,"journal":{"name":"aBIOTECH","volume":"6 1","pages":"116 - 132"},"PeriodicalIF":4.6000,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s42994-024-00194-0.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"aBIOTECH","FirstCategoryId":"1091","ListUrlMain":"https://link.springer.com/article/10.1007/s42994-024-00194-0","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Plant metabolites are crucial for the growth, development, environmental adaptation, and nutritional quality of plants. Plant metabolomics, a key branch of systems biology, involves the comprehensive analysis and interpretation of the composition, variation, and functions of these metabolites. Advances in technology have transformed plant metabolomics into a sophisticated process involving sample collection, metabolite extraction, high-throughput analysis, data processing, and multidimensional statistical analysis. In today’s era of big data, the field is witnessing an explosion in data acquisition, offering insight into the complexity and dynamics of plant metabolism. Moreover, multiple omics strategies can be integrated to reveal interactions and regulatory networks across different molecular levels, deepening our understanding of plant biological processes. In this review, we highlight recent advances and challenges in plant metabolomics, emphasizing the roles for this technique in improving crop varieties, enhancing nutritional value, and increasing stress resistance. We also explore the scientific foundations of plant metabolomics and its applications in medicine, and ecological conservation.