title: Unsupervised principal component analysis of NMR metabolic profiles for the assessment of substantial equivalence of transgenic grapes (Vitis vinifera).
abstract: Substantial equivalence is a key concept in the evaluation of unintended and potentially harmful metabolic impact consequent to a genetic modification of food. The application of unsupervised multivariate data analysis to the metabolic profiles is expected to improve the effectiveness of such evaluation. The present study uses NMR spectra of hydroalcoholic extracts, as holistic representations of the metabolic profiles of grapes, to evaluate the effect of the insertion of one or three copies of the DefH9-iaaM construct in plants of Silcora and Thompson Seedless cultivars. The comparison of the metabolic profiles of transgenic derivatives with respect to their corresponding natural lines pointed out that the overall metabolic changes occur in the same direction, independent of the host genotype, although the two cultivars are modified to different extents. A higher number of copies not only produces a larger effect but also modifies the whole pattern of perturbed metabolites.
authors.affiliation: Department of Food Science, University of Bologna at Cesena, Piazza Goidanich 60, 47520 Cesena (FC), Italy.
authors.forename: Gianfranco
authors.initials: G
authors.lastname: Picone
authors.forename: Bruno
authors.initials: B
authors.lastname: Mezzetti
authors.forename: Elena
authors.initials: E
authors.lastname: Babini
authors.forename: Franco
authors.initials: F
authors.lastname: Capocasa
authors.forename: Giuseppe
authors.initials: G
authors.lastname: Placucci
authors.forename: Francesco
authors.initials: F
authors.lastname: Capozzi
mesh_terms: D030841:Food, Genetically Modified; D005638:Fruit / Q000737:chemistry* / Q000378:metabolism; D007210:Indoleacetic Acids / Q000378:metabolism; D009682:Magnetic Resonance Spectroscopy; D055442:Metabolome; D030821:Plants, Genetically Modified / Q000737:chemistry*; D027843:Vitis
chemical_list: D007210:Indoleacetic Acids