Abstract
A metabolomics based approach has been used to study the infection of the Hwacheong rice cultivar (Oryza sativa L. cv. Hwacheong) with compatible (KJ201) and incompatible (KJ401) strains of the rice blast fungal pathogen Magnaporthe grisea. The metabolic response of the rice plants to each strain was assessed 0, 6, 12, 24, 36, and 48 h post inoculation. Nuclear Magnetic Resonance (NMR) spectroscopy and Gas and Liquid Chromatography Tandem Mass spectrometry (GC/LC-MS/MS) were used to study both aqueous and organic phase metabolites, collectively resulting in the identification of 93 compounds. Clear metabolic profiles were observed at each time point but there were no significant differences in the metabolic response elicited by each pathogen strain until 24 h post inoculation. The largest change was found to be in alanine, which was ~30% (±9%) higher in the leaves from the compatible, compared to the resistant, plants. Together with several other metabolites (malate, glutamine, proline, cinnamate and an unknown sugar) alanine exhibited a good correlation between time of fungal penetration into the leaf and the divergence of metabolite profiles in each interaction. The results indicate both that a wide range of metabolites can be identified in rice leaves and that metabolomics has potential for the study of biochemical changes in plant-pathogen interactions.
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Acknowledgements
Oliver A.H. Jones was financially supported by the European Union (European Commission, FP6 Contract No. 003956. The study was in part funded by a grant from the Plant Signalling Network Research Centre from the Korean Science and Engineering Foundation. The authors also thank Dr. Young Hae Choi, Professor Robert Verpoorte and Professor George Ratcliffe for help with the NMR analysis and Drs. Aalim Welji and Denis Rubtsov for help with the Matlab code. The authors also thank the three anonymous reviewers whose thoughtful comments greatly improved the final manuscript.
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Jones, O.A.H., Maguire, M.L., Griffin, J.L. et al. Using metabolic profiling to assess plant-pathogen interactions: an example using rice (Oryza sativa) and the blast pathogen Magnaporthe grisea . Eur J Plant Pathol 129, 539–554 (2011). https://doi.org/10.1007/s10658-010-9718-6
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DOI: https://doi.org/10.1007/s10658-010-9718-6