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空间代谢组技术在植物研究中的应用与前景

Application and prospects of spatial metabolomics technology in plant research
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摘要 空间代谢组技术是一种整合了质谱成像和代谢组学的新兴研究技术,该项技术可以获得生物组织中大量已知或未知内源性代谢物分子的结构、含量和空间分布信息,精准定位组织中的代谢物分布,对揭示植物代谢物的合成、积累和调控机理至关重要。本文介绍了空间代谢组技术的研究现状,重点综述了空间代谢组技术在植物组织研究方面的前沿应用,探讨了空间代谢组技术在植物单细胞水平研究领域中的应用与挑战,以期为研究植物生长发育及空间代谢网络的调控提供新的途径,为解决农业生产、植物能源开发等领域的问题提供关键支持。 Spatial metabolomics is an emerging research technology that integrates mass spectrometry imaging and metabolomics to analyze the structure,concentration,and spatial distribution of endogenous metabolites within biological tissues.This approach enables the acquisition of both known and unknown metabolite information at high spatial resolution,allowing for precise localization within tissues.It is crucial for elucidating the synthesis,accumulation,and regulation of plant metabolites.This article reviews the current research status of spatial metabolomics technology,with a focus on cutting-edge applications in plant tissue research.Special attention is given to its potential and challenges in the field of single-cell plant studies,aiming to provide new avenues for studying plant growth and development and regulating spatial metabolic networks.Additionally,this technology offers crucial insights for solving problems in agricultural production,plant-based energy development,and other fields.
作者 李晓旭 王晨璨 丁文静 梅曼 张玉倩 蔺宏霞 赵媛媛 Li Xiaoxu;Wang Chencan;Ding Wenjing;Mei Man;Zhang Yuqian;Lin Hongxia;Zhao Yuanyuan(State Key Laboratory of Tree Genetics and Breeding,College of Biological Sciences and Technology,Beijing Forestry University,Beijing 100083,China;College of Biological Sciences and Biotechnology,Beijing Forestry University,Beijing 100083,China;Research Institute of Tree Development and Gene Editing,Beijing Forestry University,Beijing 100083,China;National Engineering Research Center of Tree Breeding and Ecological Restoration,Beijing Forestry University,Beijing 100083,China;State Key Laboratory of Efficient Production of Forest Resources,Beijing Forestry University,Beijing 100083,China)
出处 《植物科学学报》 CAS CSCD 北大核心 2024年第5期654-663,共10页 Plant Science Journal
基金 科技部外国专家项目(G20221090007L)。
关键词 空间代谢组技术 质谱成像 代谢物空间分布 植物生长发育 Spatial metabolomics technology Mass spectrometry imaging Spatial distribution of metabolites Plant growth and development
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