Targeting the untargeted: Uncovering the chemical complexity of root exudates

Katrin Moeller, Annalena Ritter, Phillip Stobinsky, Kai Jensen, Ina C. Meier, Harihar Jaishree Subrahmaniam
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Abstract

The chemical complexity of root exudates has garnered significant attention in recent years, yet critical gaps remain in understanding the full scope of root exudate chemical variation across the plant kingdom. To address this, we conducted a systematic review of 57 studies, comprising 124 experiments, aimed at evaluating current methodologies and findings in untargeted root exudate chemical analysis. Our review revealed that hydroponic (44%) and soil-hydroponic hybrid (32%) sampling approaches, primarily utilising water as the collection medium, were the most common experimental setups. Liquid chromatography-mass spectrometry (LC-MS) was the predominant analytical technique used in 54% of the studies, followed by gas chromatography-mass spectrometry (GC-MS) in 31%. The average number of metabolites identified per analysis was 960, though the number of annotated metabolites varied considerably. Shikimates, phenylpropanoids, and carbohydrates were the most frequently identified classes, with their relative abundances varying widely. Several methodological challenges were highlighted, including inconsistencies in sampling techniques, underrepresentation of non-crop plants, and incomplete chemical annotation. To address these limitations, we propose a framework emphasising the need for representative exudate sampling, the use of multiple analytical approaches, the development of advanced bioinformatics tools, and the integration of these findings to enhance our understanding of root exudates and their ecological functions.
瞄准未瞄准的目标:揭示根部渗出物的化学复杂性
近年来,根系渗出液化学成分的复杂性引起了人们的极大关注,但在全面了解植物界根系渗出液化学成分变异的范围方面仍存在重大差距。为此,我们对包括 124 项实验在内的 57 项研究进行了系统综述,旨在评估当前非靶向根系渗出物化学分析的方法和发现。综述显示,水培法(44%)和土壤-水培混合法(32%)是最常见的实验设置,主要利用水作为采集介质。液相色谱-质谱法(LC-MS)是 54% 的研究采用的主要分析技术,其次是气相色谱-质谱法(GC-MS),占 31%。每次分析鉴定的代谢物平均为 960 个,但注释代谢物的数量差异很大。莽草酸类、苯丙氨酸类和碳水化合物类是最常见的鉴定类别,其相对丰度差异很大。我们强调了一些方法上的挑战,包括取样技术不一致、非作物植物代表性不足以及化学注释不完整。为了解决这些局限性,我们提出了一个框架,强调需要对渗出物进行代表性取样、使用多种分析方法、开发先进的生物信息学工具,并整合这些研究结果,以提高我们对根系渗出物及其生态功能的认识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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