Lipids are essential components of plant, playing role as structural components of membranes, major storage reserve in seeds, and signaling molecules for local and long-distance communication. Despite their biological importance global lipidomics analysis of grapes is limited. This is partly due to the fact that comprehensive analysis of complex plant lipids is challenging due to the diversity of lipid polarity and the large range of concentrations of lipid species in biological samples. We used novel approach using Ultra Performance Convergence Chromatography (UPC2) coupled to mass spectrometry for the lipidomics analysis of free fatty acids, neutral and polar lipids in a single grape lipid extract. Total of 82 grape varieties, including both Vitis vinifera and non-V. vinifera genotypes, were analyzed in positive and negative ion polarity mode. The lipid profiles of the different grape genotypes were analyzed using TransOmics Software and multivariate statistical analysis to determine the pattern and composition of the different lipid species. Individual lipids were identified based on accurate mass, retention time and MS-MS fragmentation using SimLipid (PREMIER Biosoft, USA), and LipidSearch (Thermo Scientific, USA) software packages. Using PLS-DA and OPLS-DA multivariate analysis of results across several grape genotypes we have identified variables that discriminate the different genotypes. Total of 76 variables in positive ion mode and 69 variables in negative ion mode were discriminating between Vitis vinifera and non-V. vinifera genotypes. We also identified a set of variables that discriminate between grape genotypes which on the base of SSR profiles could be assigned to proles pontica (VV1 – S1) which include Italian and Greek wine grapes and proles occidentalis (VV4 – S3) which includes the French and German wine grapes.

Global lipidomics profiling of grapes identifies lipidomics signatures discriminating between grape genotypes

254th National Meeting (2017)

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