Abstract
Vitis cultivars exhibit different susceptibility to pathogens such as Botrytis cinerea or Plasmopara viticola (downy mildew of grape). Therefore the selection of resistant species is important for a sustainable wine production without use of pesticides. The wood extracts from three cultivars with different resistance to pathogens were profiled by HR-NMR, UHPLC-(NI)-ESI-TOF-MS and UHPLC-(NI)-ESI-orbitrap-MS in order to highlight relevant biomarkers accumulated in one complete season. Differenzial metabolomics showed interesting features related to resistance with each analytic method. The comparisons of the selected features (RT and m/z for LC-MS and chemical shift for NMR) showed high convergence which was confirmed by multiple factorial analysis. The use of covariance calculation between LC-MS and NMR data was used in order to help dereplication of highlighted LC-MS features. The pseudo NMR spectra generated in this way were interestingly similar to pure compound spectra of the major biomarkers.
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