title: NMR-based metabonomic study of transgenic maize.
abstract: The aim of this research was to verify the possibility of identifying and classifying maize seeds obtained from transgenic plants, in different classes according to the modification, on the basis of the concerted variation in metabolite levels detected by NMR spectra. It was possible to recognise the discriminant metabolites of transgenic samples as well as to classify non-a priori defined samples of maize. It is important to underline that the obtained results are useful to point out the metabolic consequences of a specific genic modification on a plant, without using a targeted analysis of the different metabolites, in fact it was possible to classify the seeds also without the complete assignment of the spectra. The analysis was performed by applying multivariate techniques (principal component analysis and partial least squares-discriminant analysis) to NMR data.
authors.affiliation: Dipartimento di Chimica, Università degli Studi di Roma La Sapienza, Piazzale Aldo Moro 5, I-00185 Rome, Italy. c.manetti@caspur.it
authors.forename: Cesare
authors.initials: C
authors.lastname: Manetti
authors.forename: Cristiano
authors.initials: C
authors.lastname: Bianchetti
authors.forename: Mariano
authors.initials: M
authors.lastname: Bizzarri
authors.forename: Lorena
authors.initials: L
authors.lastname: Casciani
authors.forename: Cecilia
authors.initials: C
authors.lastname: Castro
authors.forename: Giuseppe
authors.initials: G
authors.lastname: D'Ascenzo
authors.forename: Maurizio
authors.initials: M
authors.lastname: Delfini
authors.forename: Maria Enrica
authors.initials: ME
authors.lastname: Di Cocco
authors.forename: Aldo
authors.initials: A
authors.lastname: Laganà
authors.forename: Alfredo
authors.initials: A
authors.lastname: Miccheli
authors.forename: Mario
authors.initials: M
authors.lastname: Motto
authors.forename: Filippo
authors.initials: F
authors.lastname: Conti
mesh_terms: D015870:Gene Expression / Q000502:physiology; D014644:Genetic Variation; D016018:Least-Squares Analysis; D009682:Magnetic Resonance Spectroscopy; D010940:Plant Proteins / Q000235:genetics / Q000378:metabolism; D030821:Plants, Genetically Modified / Q000145:classification / Q000235:genetics* / Q000378:metabolism*; D025341:Principal Component Analysis / Q000379:methods; D012639:Seeds / Q000378:metabolism; D003313:Zea mays / Q000145:classification / Q000235:genetics* / Q000378:metabolism*
chemical_list: D010940:Plant Proteins