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Changes of metabolomic picture in grapevine leaves of resistant varieties after infection with Plasmopara viticola

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Academic year: 2021

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POSTER – METABOLOMICS, CHEMOMETRICS AND AUTHENTICITY OF PRODUCTS

METCA 1 - Changes of metabolomic picture in grapevine leaves of resistant varieties after infection with Plasmopara viticola

Marco Stefanini* , Luca Zulini, Evelyn Soini, AntonellaVecchione, Urska Vrhovsek

Fondazione Edmund Mach, Research and Innovation Centre, via Mach 1, San Michele all’Adige, Italy. *marco.stefanini@fmach.it

ABSTRACT - Cultivated grapevine is attacked by several fungi; the two most common are

Plasmopara viticola and Erysiphe necator arrived in Europe in the 1800s. These fungi require several

treatments and can reduce significantly the production and crop quality. Different forms of resistance to natural Plasmopara viticola in several wild species present in different continents (North America and Asia) were shown. Up to now the studies on the natural defense mechanisms of the different species have shown that the infection on the grapevine causes the production of different metabolites in particular in the group of polyphenols. In this study different metabolites in the leaves of plants from different species with resistance to downy mildew defined with markers RPV 1, 3, 10, 12 were analyzed by using a metabolomic approaches. The UHPLC/MS/MS methods were applied to study the metabolomics changes of polyphenols (1), lipids (2) and polar compounds in grapevine leaves of four resistant varieties (Solaris, Bianca, Jasmine and BC4) induced by the infection with Plasmopara

viticola in the first 96 hours after pathogen inoculation (at time 0, 12, 48 and 96 hours). The primary

aim of the work was to find the early stage biomarkers and to explain differences in the metabolomic changes due to different forms of resistance. The results show that the changes in metabolomic profiles after infection varies in the varieties included in the study, which means that resistance to Plasmopara

viticola defined with different markers RPV 1, 3, 10, 12 results as a consequence in diverse changes of

metabolism.

ACKNOWLEDGEMENTS - This work was financially supported by the ADP 2014 project, funded by the Autonomous Province of Trento, Italy.

REFERENCES

[1] Vrhovsek U. et al. A versatile targeted metabolomics method for rapid quantification of multiple classes of phenolics in fruit and beverages. Journal of agricultural and food chemistry, 2012, 60, 8831-8840.

[2] Della Corte A. et al. A rapid LC–MS/MS method for quantitative profiling of fatty acids, sterols, glycerolipids, glycerophospholipids and sphingolipids in grapes, submitted.

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