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根际代谢图谱(RhizoMAP):一种用于根际代谢成像的全面、非破坏性且灵敏的平台。

RhizoMAP: a comprehensive, nondestructive, and sensitive platform for metabolic imaging of the rhizosphere.

作者信息

Veličković Dušan, Winkler Tanya, Balasubramanian Vimal, Wietsma Thomas, Anderton Christopher R, Ahkami Amir H, Zemaitis Kevin

机构信息

Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, 99354, USA.

出版信息

Plant Methods. 2024 Aug 2;20(1):117. doi: 10.1186/s13007-024-01249-5.

Abstract

BACKGROUND

Elucidating the intricate structural organization and spatial gradients of biomolecular composition within the rhizosphere is critical to understanding important biogeochemical processes, which include the mechanisms of root-microbe interactions for maintaining sustainable plant ecosystem services. While various analytical methods have been developed to assess the spatial heterogeneity within the rhizosphere, a comprehensive view of the fine distribution of metabolites within the root-soil interface has remained a significant challenge. This is primarily due to the difficulty of maintaining the original spatial organization during sample preparation without compromising its molecular content.

RESULTS

In this study, we present a novel approach, RhizoMAP, in which the rhizosphere molecules are imprinted on selected polymer membranes and then spatially profiled using matrix-assisted laser desorption/ionization (MALDI) mass spectrometry imaging (MSI). We enhanced the performance of RhizoMAP by combining the use of two thin (< 20 μm) membranes (polyester and polycarbonate) with distinct MALDI sample preparations. This optimization allowed us to gain insight into the distribution of over 500 different molecules within the rhizosphere of poplar (Populus trichocarpa) grown in rhizoboxes filled with mycorrhizae soil. These two membranes, coupled with three different sample preparation conditions, enabled us to capture the distribution of a wide variety of molecules that included phytohormones, amino acids, sugars, sugar glycosides, polycarboxylic acids components of the Krebs cycle, fatty acids, short aldehydes and ketones, terpenes, volatile organic compounds, fertilizers from the soil, and others. Their spatial distribution varies greatly, with some following root traces, others showing diffusion from roots, some associated with soil particles, and many having distinct hot spots along the plant root or surrounding soil. Moreover, we showed how RhizoMAP can be used to localize the origin of the molecules and molecular transformation during root growth. Finally, we demonstrated the power of RhizoMAP to capture molecular distributions of key metabolites throughout a 20 cm deep rhizosphere.

CONCLUSIONS

RhizoMAP is a method that provides nondestructive, untargeted, broad, and sensitive metabolite imaging of root-associated molecules, exudates, and soil organic matter throughout the rhizosphere, as demonstrated in a lab-controlled native soil environment.

摘要

背景

阐明根际内生物分子组成的复杂结构组织和空间梯度对于理解重要的生物地球化学过程至关重要,这些过程包括根际微生物相互作用以维持可持续植物生态系统服务的机制。虽然已经开发了各种分析方法来评估根际内的空间异质性,但根 - 土界面内代谢物精细分布的全面视图仍然是一项重大挑战。这主要是由于在样品制备过程中难以在不损害其分子含量的情况下维持原始空间组织。

结果

在本研究中,我们提出了一种新方法RhizoMAP,其中根际分子被印刻在选定的聚合物膜上,然后使用基质辅助激光解吸/电离(MALDI)质谱成像(MSI)进行空间分析。我们通过将两种薄(<20μm)膜(聚酯和聚碳酸酯)与不同的MALDI样品制备方法结合使用来提高RhizoMAP的性能。这种优化使我们能够深入了解在充满菌根土壤的根箱中生长的杨树(毛果杨)根际内500多种不同分子的分布。这两种膜与三种不同的样品制备条件相结合,使我们能够捕获多种分子的分布,这些分子包括植物激素、氨基酸、糖、糖苷、三羧酸循环的多元羧酸成分、脂肪酸、短链醛和酮、萜类、挥发性有机化合物、土壤中的肥料等。它们的空间分布差异很大,一些沿着根的痕迹分布,另一些显示从根扩散,一些与土壤颗粒相关,许多在植物根或周围土壤中有明显的热点。此外,我们展示了RhizoMAP如何用于定位分子的来源以及根生长过程中的分子转化。最后,我们证明了RhizoMAP能够捕获整个20厘米深根际中关键代谢物的分子分布。

结论

RhizoMAP是一种方法,如在实验室控制的天然土壤环境中所证明的那样,它能够对整个根际中与根相关的分子、分泌物和土壤有机质进行无损、非靶向、广泛且灵敏的代谢物成像。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5dd7/11297713/259c40868117/13007_2024_1249_Fig1_HTML.jpg

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