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用于土壤分析的核磁共振代谢组学为中红外光谱和传统土壤化学方法提供了互补的正交数据——一项土地利用研究。

NMR metabolomics for soil analysis provide complementary, orthogonal data to MIR and traditional soil chemistry approaches--a land use study.

作者信息

Rochfort Simone, Ezernieks Vilnis, Mele Pauline, Kitching Matt

机构信息

Department of Environment and Primary Industries, Biosciences Research Division, Bundoora, Victoria, Australia.

La Trobe University, Bundoora, Victoria, Australia.

出版信息

Magn Reson Chem. 2015 Sep;53(9):719-25. doi: 10.1002/mrc.4187. Epub 2015 Jan 16.

DOI:10.1002/mrc.4187
PMID:25640917
Abstract

The present study was designed to analyse soils by different methodologies to determine the range of traits that could be investigated for the study of environmental soil samples. Proton nuclear magnetic resonance spectroscopy ((1) H NMR) was employed for metametabolomic analysis of soils from agricultural systems (managed) or from soils in a native state (remnant). The metabolomic methodologies employed (grinding and extraction with sonication) are capable of breaking up cell walls and so enabled characterisation of both extracellular and intracellular components of soil. Diffuse mid-infrared spectroscopy (MIR) data was obtained for the same sample sets, and in addition, elemental composition was determined by conventional laboratory chemical testing methods. Also investigated was the antibiotic activity of the soil extracts. Resilient or suppressive soils are valued in the agricultural setting as they convey disease resistance (against bacterial and fungal pathogens) to crop plants. In order to test if any such biological activity could be detected in the soils, the extracts were tested against the bacteria Bacillus subtilis. Several extracts showed strong growth inhibition against the bacteria with the most active clustered together in principle component analysis (PCA) of the metabolomic data. The study showed that the NMR metabolomic approach corresponds more accurately to land use and biochemical properties potentially associated with suppression, while MIR data correlated well to inorganic chemical analysis. Thus, the study demonstrates the utility in combining these spectroscopic methods for soil analysis.

摘要

本研究旨在通过不同方法分析土壤,以确定可用于环境土壤样品研究的性状范围。采用质子核磁共振波谱法(¹H NMR)对农业系统(管理型)土壤或原生状态(残留型)土壤进行代谢组学分析。所采用的代谢组学方法(研磨和超声提取)能够破坏细胞壁,从而能够对土壤的细胞外和细胞内成分进行表征。对相同样本集获取了漫反射中红外光谱(MIR)数据,此外,通过传统实验室化学测试方法测定了元素组成。还研究了土壤提取物的抗生素活性。在农业环境中,抗性或抑制性土壤很有价值,因为它们能赋予作物植物抗病性(针对细菌和真菌病原体)。为了测试土壤中是否能检测到任何此类生物活性,将提取物针对枯草芽孢杆菌进行了测试。几种提取物对该细菌表现出强烈的生长抑制作用,在代谢组学数据的主成分分析(PCA)中,活性最强的提取物聚集在一起。研究表明,NMR代谢组学方法与土地利用以及可能与抑制作用相关的生化特性更为准确地对应,而MIR数据与无机化学分析相关性良好。因此,该研究证明了将这些光谱方法结合用于土壤分析的实用性。

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