Zheng Jiamin, Johnson Mathew, Mandal Rupasri, Wishart David S
Departments of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada.
Departments of Computing Science, University of Alberta, Edmonton, AB T6G 2E9, Canada.
Metabolites. 2021 May 11;11(5):303. doi: 10.3390/metabo11050303.
Metabolomics plays an important role in various fields from health to agriculture. However, the comprehensive quantitative metabolomic analysis of plants and plant metabolites has not been widely performed. Liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS)-based plant metabolomics offers the sensitivity and breadth of coverage for both phenotyping and disease diagnosis of plants. Here, we report a high-coverage and quantitative MS-based assay for plant metabolite analysis. The assay detects and quantifies 206 primary and secondary plant metabolites, including many key plant hormones. In total, it measures 28 amino acids and derivatives, 27 organic acids, 20 biogenic amines and derivatives, 40 acylcarnitines, 90 phospholipids and C-6 sugars. All the analysis methods in this assay are based on LC-MS/MS techniques using both positive and negative-mode multiple reaction monitoring (MRM). The recovery rates of spiked plant samples at three different concentration levels (low, medium and high) ranged from 80% to 120%, with satisfactory precision values of less than 20%. This targeted plant metabolomic assay has been successfully applied to the analysis of large numbers of pine and spruce needle samples, canola root samples, as well as cannabis samples. Moreover, the assay was specifically developed in a 96-well plate format, which enables automated, high-throughput sample analysis. This assay has already been used to analyze over 1500 crop plant samples in less than two months.
代谢组学在从健康到农业的各个领域都发挥着重要作用。然而，对植物及其代谢产物进行全面的定量代谢组学分析尚未得到广泛开展。基于液相色谱-串联质谱（LC-MS/MS）的植物代谢组学为植物表型分析和疾病诊断提供了灵敏度和覆盖范围。在此，我们报告一种基于质谱的高覆盖度定量分析方法用于植物代谢产物分析。该方法可检测和定量206种植物初级和次级代谢产物，包括许多关键植物激素。总共可测定28种氨基酸及其衍生物、27种有机酸、20种生物胺及其衍生物、40种酰基肉碱、90种磷脂和C-6糖。此分析方法均基于LC-MS/MS技术，采用正、负离子模式的多反应监测（MRM）。三种不同浓度水平（低、中、高）的加标植物样品回收率在80%至120%之间，精密度值令人满意，均小于20%。这种靶向植物代谢组学分析方法已成功应用于大量松树和云杉针叶样品、油菜根样品以及大麻样品的分析。此外，该分析方法专门采用96孔板形式开发，可实现自动化、高通量样品分析。此分析方法已在不到两个月的时间内用于分析超过1500份农作物样品。
