Metabolomics approaches for the discrimination of disease suppressive soils for Rhizoctonia solani AG8 in cereal crops using 1H NMR and LC-MS
Metabolomics approaches for the discrimination of disease suppressive soils for Rhizoctonia solani AG8 in cereal crops using 1H NMR and LC-MS
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DOI：
10.1016/j.scitotenv.2018.09.249
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发表时间：
2019-02-15
影响因子：
9.8
通讯作者：
Mele, Pauline M.
中科院分区：
文献类型：
--
作者：
Hayden, Helen L.;Rochfort, Simone J.;Mele, Pauline M.
抑制土壤传播的作物病原体，如立枯丝核菌AG 8可能提供一个可持续和持久的方法来控制疾病，虽然这些属性的土壤是难以识别的。在这项研究中，我们分析了抑制性和非抑制性土壤超过2年的谷物生产的土壤代谢概况。我们收集散装和根际土壤在不同的种植阶段，并进行土壤提取物的液相色谱-质谱（LC-MS）和质子核磁共振光谱（H-1 NMR）分析。抑制性和非抑制性土壤分别使用主成分分析和预测建模的LC-MS和NMR数据集的社区分析，揭示了不同的生化配置文件的两种土壤类型的抑制性和种植阶段的基础上聚类。NMR光谱显示，抑制性土壤中的糖分子比非抑制性土壤中的糖分子更丰富，非抑制性土壤中的脂质和萜烯更丰富。在抑制性土壤中显著更丰富的LC-MS特征被鉴定并评估为疾病抑制的潜在生物标志物。使用准确的质量数据和MS裂解谱信息阐明了一类潜在的LC-MS生物标志物的结构。在抑制性土壤中发现的最丰富的化合物被证实是大果酸，这是一种抗微生物的次级代谢产物。我们的研究已经证明了环境代谢组学在病害抑制土壤研究中的实用性，从而发现了立枯丝核菌AG 8抑制土壤的大腕生物标志物，其可以与抑制盆栽试验和微生物分离研究相结合进一步进行功能研究。皇冠版权所有（c）2018由Elsevier B. V.发布。保留所有权利。
The suppression of soilborne crop pathogens such as Rhizoctonia solani AG8 may offer a sustainable and enduring method for disease control, though soils with these properties are difficult to identify. In this study, we analysed the soil metabolic profiles of suppressive and non-suppressive soils over 2 years of cereal production. We collected bulk and rhizosphere soil at different cropping stages and subjected soil extracts to liquid chromatography-mass spectrometry (LC-MS) and proton nuclear magnetic resonance spectroscopy (H-1 NMR) analyses. Community analyses of suppressive and non-suppressive soils using principal component analyses and predictive modelling of LC-MS and NMR datasets respectively, revealed distinct biochemical profiles for the two soil types with clustering based on suppressiveness and cropping stage. NMR spectra revealed the suppressive soils to be more abundant in sugar molecules than non-suppressive soils, which were more abundant in lipids and terpenes. LC-MS features that were significantly more abundant in the suppressive soil were identified and assessed as potential biomarkers for disease suppression. The structures of a potential class of LC-MS biomarkers were elucidated using accurate mass data and MS fragmentation spectrum information. The most abundant compound found in association with suppressive soils was confirmed to be a macrocarpal, which is an antimicrobial secondary metabolite. Our study has demonstrated the utility of environmental metabolomics for the study of disease suppressive soils, resulting in the discovery of a macrocarpal biomarker for R.solani AG8 suppressive soil which can be further studied functionally in association with suppression pot trials and microbial isolation studies. Crown Copyright (c) 2018 Published by Elsevier B.V. All rights reserved.