The pivotal role of high-resolution mass spectrometry in the study of grape glycosidic volatile precursors for the selection of grapevines resistant to mildews.
Mirko De RossoAnnarita PanighelDaniele MigliaroTyrone PossamaiFabiola De MarchiRiccardo VelascoRiccardo FlaminiPublished in: Journal of mass spectrometry : JMS (2023)
A breeding program to produce new grape varieties tolerant to main vine fungal pathogens (Plasmopara viticola and Erysiphe necator) is carrying out by crossing Vitis vinifera cv. "Glera" with resistant genotypes such as "Solaris," "Bronner," and "Kunleany." Firstly, resistance gene-based markers analyses allowed the identification of five genotypes, which have inherited the resistance loci against mildews. To select those that also inherited the phenotype as close as possible to 'Glera' suitable to be introduced in the Prosecco wine production protocols, the grape glycosidic derivatives were studied by UHPLC/QTOF mass spectrometry. Targeted identification of the metabolites was performed using a database expressly constructed by including the glycosidic volatile precursors previously identified in grape and wine. A total of 77 glycosidic derivatives including many aroma precursors and some variety markers, were identified. Original resistant genotypes had distinct metabolomic profiles and different to 'Glera', while the crossings showed varying similarity degrees to V. vinifera parent. Findings demonstrated the Glera × Bronner and Glera × Solaris crossings are more suitable to produce high-sustainable Prosecco wines. Coupling of glycosidic volatile precursors profiling to multivariate statistical analysis was effective for phenotypic characterization of grapes and to evaluate their enological potential.
Keyphrases
- gas chromatography
- high resolution mass spectrometry
- mass spectrometry
- liquid chromatography
- ms ms
- tandem mass spectrometry
- ultra high performance liquid chromatography
- genome wide
- simultaneous determination
- dna methylation
- high resolution
- capillary electrophoresis
- bioinformatics analysis
- quality improvement
- structure activity relationship
- multidrug resistant
- copy number
- transcription factor
- antimicrobial resistance