title: Covering chemical diversity of genetically-modified tomatoes using metabolomics for objective substantial equivalence assessment.
abstract: As metabolomics can provide a biochemical snapshot of an organism's phenotype it is a promising approach for charting the unintended effects of genetic modification. A critical obstacle for this application is the inherently limited metabolomic coverage of any single analytical platform. We propose using multiple analytical platforms for the direct acquisition of an interpretable data set of estimable chemical diversity. As an example, we report an application of our multi-platform approach that assesses the substantial equivalence of tomatoes over-expressing the taste-modifying protein miraculin. In combination, the chosen platforms detected compounds that represent 86% of the estimated chemical diversity of the metabolites listed in the LycoCyc database. Following a proof-of-safety approach, we show that % had an acceptable range of variation while simultaneously indicating a reproducible transformation-related metabolic signature. We conclude that multi-platform metabolomics is an approach that is both sensitive and robust and that it constitutes a good starting point for characterizing genetically modified organisms.
authors.affiliation: RIKEN Plant Science Center, Yokohama, Japan.
authors.forename: Miyako
authors.initials: M
authors.lastname: Kusano
authors.forename: Henning
authors.initials: H
authors.lastname: Redestig
authors.forename: Tadayoshi
authors.initials: T
authors.lastname: Hirai
authors.forename: Akira
authors.initials: A
authors.lastname: Oikawa
authors.forename: Fumio
authors.initials: F
authors.lastname: Matsuda
authors.forename: Atsushi
authors.initials: A
authors.lastname: Fukushima
authors.forename: Masanori
authors.initials: M
authors.lastname: Arita
authors.forename: Shin
authors.initials: S
authors.lastname: Watanabe
authors.forename: Megumu
authors.initials: M
authors.lastname: Yano
authors.forename: Kyoko
authors.initials: K
authors.lastname: Hiwasa-Tanase
authors.forename: Hiroshi
authors.initials: H
authors.lastname: Ezura
authors.forename: Kazuki
authors.initials: K
authors.lastname: Saito
mesh_terms: D000465:Algorithms; D059022:Food Safety / Q000379:methods; D030841:Food, Genetically Modified; D018506:Gene Expression Regulation, Plant; D006023:Glycoproteins / Q000235:genetics; D018551:Solanum lycopersicum / Q000737:chemistry* / Q000235:genetics / Q000378:metabolism; D055442:Metabolome; D055432:Metabolomics / Q000379:methods; D008954:Models, Biological; D009753:Nutritive Value; D030821:Plants, Genetically Modified / Q000737:chemistry / Q000235:genetics / Q000378:metabolism; D011786:Quality Control; D013649:Taste / Q000502:physiology
chemical_list: D006023:Glycoproteins; C008533:miraculin protein, Synsepalum dulcificum