NMR-based metabonomic study of transgenic maize

A comparison of different maize seeds samples metabolome, using NMR and multivariate analysis techniques. 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 basi...

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Bibliographic Details
Published in:Phytochemistry (Oxford) 2004-12, Vol.65 (24), p.3187-3198
Main Authors: Manetti, Cesare, Bianchetti, Cristiano, Bizzarri, Mariano, Casciani, Lorena, Castro, Cecilia, D’Ascenzo, Giuseppe, Delfini, Maurizio, Di Cocco, Maria Enrica, Laganà, Aldo, Miccheli, Alfredo, Motto, Mario, Conti, Filippo
Format: Article
Language:English
Subjects:
Assay for genetic modification
Bacillus thuringiensis
Biological and medical sciences
chemical constituents of plants
Chemical constitution
corn
crystal proteins
delta-endotoxins
Fundamental and applied biological sciences. Psychology
Gene Expression - physiology
Genetic Variation
grain crops
Least-Squares Analysis
Magnetic Resonance Spectroscopy
Maize
Metabolism
Metabolism. Physicochemical requirements
metabolome
metabolomics
Metabonomics
Nuclear magnetic resonance
nuclear magnetic resonance spectroscopy
Partial least squares-discriminant analysis
plant physiology
Plant physiology and development
Plant Proteins - genetics
Plant Proteins - metabolism
Plants, Genetically Modified - classification
Plants, Genetically Modified - genetics
Plants, Genetically Modified - metabolism
Principal component analysis
Principal Component Analysis - methods
seeds
Seeds - metabolism
spectral analysis
transgenes
transgenic plants
Zea mays
Zea mays - classification
Zea mays - genetics
Zea mays - metabolism
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Summary:A comparison of different maize seeds samples metabolome, using NMR and multivariate analysis techniques. 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.
ISSN:0031-9422
1873-3700
DOI:10.1016/j.phytochem.2004.10.015