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Bino, R.J., Hall, R.D., Fiehn, O., Kopka, J., Saito, K., Draper, J., Nikolau, B.J., Mendes, P., Roessner-Tunali, U. and Beale, M.H. (2004) Potential of Metabolomics as a Functional Genomics Tool. Trends in Plant Science, 9, 418-425.
https://doi.org/10.1016/j.tplants.2004.07.004

has been cited by the following article:

• TITLE: Metabolomics Profile of Potato Tubers after Phosphite Treatment

  AUTHORS: Xingxi Gao, Steven Locke, Junzeng Zhang, Jyoti Joshi, Gefu Wang-Pruski

  KEYWORDS: Potato, Metabolomics, GC-MS, Phosphite, Phytophthora infestans

  JOURNAL NAME: American Journal of Plant Sciences, Vol.9 No.4, March 28, 2018

  ABSTRACT: 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.