Unit:
Τομέας ΦΑΡΜΑΚΟΓΝΩΣΙΑΣ ΚΑΙ ΧΗΜΕΙΑΣ ΦΥΣΙΚΩΝ ΠΡΟΪΟΝΤΩΝLibrary of the School of Science
Supervisors info:
Αλέξιος-Λέανδρος Σκαλτσούνης Καθηγ.(Επιβλέπων), Βασίλειος Ρούσσης Καθηγ., Νεκτάριος Αληγιάννης Επικ. Καθηγ.
Original Title:
NMR και LC-HRMS μεταβολομική μελέτη του ξυλώδους μέρους τριών καλλιεργειών του φυτού Vitis vinifera L. Vitaceae με στόχο την διαφοροποίησή τους ως προς την ανθεκτικότητα σε παθογόνους παράγοντες-Ανίχνευση βιοδεικτών ανθεκτικότητας
Summary:
Vitis cultivars exhibit different susceptibility to pathogens such as botrytis
or downy mildew and the selection of resistant species is important for a
sustainable wine production without use of harmful pesticides. In order to
highlight biomarkers that can be related to Vitis resistance to common
diseases, woods of resistant vitis cultivars were profiled by NMR and UHPLC-
HRMS-TOF and Orbitrap and analysed based on differential metabolomics. Three
different samples of Vitis wood, one resistant to botrytis, one resistant to
downy mildew and one susceptible to both phytopathogenic microorganisms were
used in this study. The wood samples of specific specimens were divided in 18
groups (6 per cultivar) and extracted separately with EtOAc to offer
statistical confidence. Two different sample preparation protocols were
developed and applied in parallel for the NMR (600 MHz) and UHPLC- HRMS
analysis of the extracts, respectively. Multivariate data analysis using both
supervised (PLS-DA) and unsupervised (PCA) methods and different scaling
methods revealed a clear distinction between the three groups as well as in the
discrimination between the two different resistant species. A high convergence
regarding the discrimination patterns between NMR and UHPLC-HRMS data was
obtained. The NMR and MS variables derived from the loading plots were
attributed to specific biomarkers. This statistical model could be efficiently
applied for the determination of resistant cultivars of Vitis as well as for
the identification of novel biomarkers involved in resistance phenomena.
Keywords:
NMR, LC-HRMS metabolomics, Vitis vinifera, resistance, PCA, OPLSDA
Number of references:
118
Number of pages:
xii, 217
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