Plant metabolomics: applications and challenges in the era of multi-omics big data

IF 4.6 4区 农林科学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
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,&nbsp;Zhonghui Zhang,&nbsp;Enxi Luo,&nbsp;Jun Yang,&nbsp;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.

植物代谢组学:多组学大数据时代的应用与挑战
植物代谢物对植物的生长发育、环境适应和营养品质至关重要。植物代谢组学是系统生物学的一个重要分支,涉及对这些代谢物的组成、变异和功能的综合分析和解释。技术的进步已经将植物代谢组学转变为一个复杂的过程,包括样品收集、代谢物提取、高通量分析、数据处理和多维统计分析。在当今的大数据时代,该领域正在见证数据采集的爆炸式增长,为了解植物代谢的复杂性和动态提供了洞见。此外,多种组学策略可以整合在一起,揭示不同分子水平上的相互作用和调控网络,加深我们对植物生物学过程的理解。本文综述了植物代谢组学研究的最新进展和面临的挑战,重点介绍了该技术在改良作物品种、提高营养价值和增强抗逆性方面的作用。我们还探讨了植物代谢组学的科学基础及其在医学和生态保护方面的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
7.70
自引率
2.80%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信