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Metabolomics Profile of Potato Tubers after Phosphite Treatment

Metabolomics Profile of Potato Tubers after Phosphite Treatment

作     者:Xingxi Gao Steven Locke Junzeng Zhang Jyoti Joshi Gefu Wang-Pruski 

作者机构:Department of Plant Food and Environmental Sciences Faculty of Agriculture Dalhousie University Truro Canada Department of Edible Fungi Science Faculty of Agriculture Ludong University Yantai China Aquatic and Crop Resource Development Research Centre National Research Council of Canada Charlottetown Canada Aquatic and Crop Resource Development Research Centre National Research Council of Canada Halifax Canada 

出 版 物:《American Journal of Plant Sciences》 (美国植物学期刊(英文))

年 卷 期:2018年第9卷第4期

页      面:845-864页

学科分类:1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学] 

主  题:Potato Metabolomics GC-MS Phosphite Phytophthora infestans 

摘      要:Phosphite (Phi)-based fungicides are used to control the oomycete Phytophthora infestans which causes late blight disease, the most devastating disease in potatoes. In order to examine the effects of Phi-based fungicides on potato tubers through foliar or post-harvest application, a metabolite profiling approach based on gas chromatography coupled to mass spectrometry (GC-MS) has been established. A total of 132 metabolites were detected using the GC-MS approach. Among these, 34 metabolites were identified after normalization and annotated with a compound name with standard mass spectral library. Metabolomic analysis of Phi-treated plants showed significant differences in the levels of many metabolites especially amino acids. Multivariate statistical approaches, such as principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA), were employed to explore the relationships between metabolites to detect group differences. A good discrimination between the control and the Phi-treated plants was observed, which demonstrated that significant changes in the metabolite profile have been caused by the two different Phi applications (foliar or post-harvest). This finding suggests that the alteration of specific metabolite levels by accumulation of Phi can lead to resistance against the pathogen.

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