NMR-based metabonomic study of transgenic maize.
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.
Manetti
Cesare
C
Dipartimento di Chimica, Università degli Studi di Roma La Sapienza, Piazzale Aldo Moro 5, I-00185 Rome, Italy. c.manetti@caspur.it
Bianchetti
Cristiano
C
Bizzarri
Mariano
M
Casciani
Lorena
L
Castro
Cecilia
C
D'Ascenzo
Giuseppe
G
Delfini
Maurizio
M
Di Cocco
Maria Enrica
ME
Laganà
Aldo
A
Miccheli
Alfredo
A
Motto
Mario
M
Conti
Filippo
F
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*
D010940:Plant Proteins