Department of Environmental Chemistry, IDAEA-CSIC, Jordi Girona 18-26, 08034 Barcelona, Spain.
Metallomics. 2017 Jun 21;9(6):660-675. doi: 10.1039/c6mt00279j.
While the knowledge of plant metabolomes has increased in the last few years, their response to the presence of toxicants is still poorly understood. Here, we analyse the metabolomic changes in Japanese rice (Oryza sativa var. Japonica) upon exposure to heavy metals (Cd(ii) and Cu(ii)) in concentrations from 10 to 1000 μM. After harvesting, rice metabolites were extracted from aerial parts of the plants and analysed by HPLC (HILIC TSK gel amide-80 column) coupled to a mass spectrometer quadrupole-Orbitrap (Q-Exactive). Full scan and all ion fragmentation (AIF) mass spectrometry modes were used during the analysis. The proposed untargeted metabolomics data analysis strategy is based on the application of the multivariate curve resolution alternating least squares (MCR-ALS) method for feature detection, allowing the simultaneous resolution of pure chromatographic profiles and mass spectra of all metabolites present in the analysed rice extracts. All-ion fragmentation data were used to confirm the identification of MCR-ALS resolved metabolites. A total of 112 metabolites were detected, and 97 of them were subsequently identified and confirmed. Pathway analysis of the observed metabolic changes suggested an underlying similarity of the responses of the plant to Cd(ii) and Cu(ii), although the former treatment appeared to be the more severe of the two. In both cases, secondary metabolism and amino acid-, purine-, carbon- and glycerolipid-metabolism pathways were affected, in a pattern consistent with reduction in plant growth and/or photosynthetic capacity and with induction of defence mechanisms to reduce cell damage.
尽管近年来人们对植物代谢组学的了解有所增加,但对其对有毒物质存在的反应仍知之甚少。在这里,我们分析了日本水稻(Oryza sativa var. Japonica)在暴露于浓度为 10 至 1000 μM 的重金属(Cd(ii)和 Cu(ii))时的代谢组学变化。收获后,从植物的地上部分提取水稻代谢物,并通过 HPLC(亲水作用色谱 TSK gel amide-80 柱)与质谱四极杆-Orbitrap(Q-Exactive)耦合进行分析。在分析过程中使用了全扫描和所有离子碎片(AIF)质谱模式。所提出的非靶向代谢组学数据分析策略基于应用多变量曲线分辨交替最小二乘法(MCR-ALS)方法进行特征检测,允许同时解析分析的水稻提取物中所有代谢物的纯色谱轮廓和质谱。全离子碎片数据用于确认 MCR-ALS 解析代谢物的鉴定。共检测到 112 种代谢物,其中 97 种随后被鉴定和确认。观察到的代谢变化的途径分析表明,植物对 Cd(ii)和 Cu(ii)的反应存在潜在的相似性,尽管前者的处理似乎更为严重。在这两种情况下,次级代谢物以及氨基酸、嘌呤、碳和甘油脂质代谢途径受到影响,这种模式与植物生长和/或光合作用能力的降低以及诱导防御机制以减少细胞损伤一致。