Suppr超能文献

揭开植物根系的秘密:简化的大规模根系分泌物采样及分析方法

Unraveling the secrets of plant roots: Simplified method for large scale root exudate sampling and analysis in .

作者信息

Subrahmaniam Harihar Jaishree, Lind Salomonsen Camilla, Radutoiu Simona, Ehlers Bodil K, Glasius Marianne

机构信息

Department of Ecoscience, Aarhus University, 8000 Aarhus C, Denmark.

Department of Chemistry, Aarhus University, 8000 Aarhus C, Denmark.

出版信息

Open Res Eur. 2023 Oct 20;3:12. doi: 10.12688/openreseurope.15377.2. eCollection 2023.

Abstract

BACKGROUND

Plants exude a plethora of compounds to communicate with their environment. Although much is known about above-ground plant communication, we are only beginning to fathom the complexities of below-ground chemical communication channels. Studying root-exuded compounds and their role in plant communication has been difficult due to the lack of standardized methodologies. Here, we develop an interdisciplinary workflow to explore the natural variation in root exudate chemical composition of the model plant . We highlight key challenges associated with sampling strategies and develop a framework for analyzing both narrow- and broad-scale patterns of root exudate composition in a large set of natural accessions.

METHODS

Our method involves cultivating individual seedlings inside a plastic mesh, followed by a short hydroponic sampling period in small quantities of ultrapure water. The mesh makes it easy to handle plants of different sizes and allows for large-scale characterization of individual plant root exudates under axenic conditions. This setup can also be easily extended for prolonged temporal exudate collection experiments. Furthermore, the short sampling time minimizes the duration of the experiment while still providing sufficient signal even with small volume of the sampling solution. We used ultra-high performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UHPLC-QTOF-MS) for untargeted metabolic profiling, followed by tentative compound identification using MZmine3 and SIRIUS 5 software, to capture a broad overview of root exudate composition in accessions.

RESULTS

Based on 28 replicates of the Columbia genotype (Col-0) compared with 10 random controls, MZmine3 annotated 354 metabolites to be present only in Col-0 by negative ionization. Of these, 254 compounds could be annotated by SIRIUS 5 software.

CONCLUSIONS

The methodology developed in this study can be used to broadly investigate the role of root exudates as chemical signals in plant belowground interactions.

摘要

背景

植物会分泌大量化合物以与周围环境进行交流。尽管我们对地上部分的植物交流了解颇多,但对于地下化学通讯渠道的复杂性,我们才刚刚开始探索。由于缺乏标准化方法,研究根系分泌化合物及其在植物通讯中的作用一直颇具难度。在此,我们开发了一种跨学科工作流程,以探究模式植物根系分泌物化学成分的自然变异。我们强调了与采样策略相关的关键挑战,并建立了一个框架,用于分析大量自然种质中根系分泌物组成的窄尺度和宽尺度模式。

方法

我们的方法包括在塑料网内培育单株幼苗,随后在少量超纯水中进行短时间水培采样。该网便于处理不同大小的植物,并能在无菌条件下对单株植物根系分泌物进行大规模表征。此设置还可轻松扩展用于长时间的分泌物收集实验。此外,短采样时间将实验持续时间减至最短,同时即便采样溶液体积较小也仍能提供足够的信号。我们使用超高效液相色谱与四极杆飞行时间质谱联用技术(UHPLC-QTOF-MS)进行非靶向代谢物谱分析,随后使用MZmine3和SIRIUS 5软件进行化合物初步鉴定,以全面了解种质中根系分泌物的组成。

结果

与10个随机对照相比,基于哥伦比亚基因型(Col-0)的28次重复实验,MZmine3通过负离子化注释出仅在Col-0中存在的354种代谢物。其中,254种化合物可由SIRIUS 5软件注释。

结论

本研究中开发的方法可广泛用于研究根系分泌物作为化学信号在植物地下相互作用中的作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0372/10589625/bbc677c1490c/openreseurope-3-18104-g0000.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验