The aim of the research was to investigate metabolic variations associated with genetic modifications in the grains of Zea mays using metabonomic techniques. With this in mind, the non-targeted characteristic of the technique is useful to identify metabolites peculiar to the genetic modification and initially undefined. The results obtained showed that the genetic modification, introducing Cry1Ab gene expression, induces metabolic variations involving the primary nitrogen pathway. Concerning the methodological aspects, the experimental protocol used has been applied in this field for the first time. It consists of a combination of partial least square-discriminant analysis and principal component analysis. The most important metabolites for discrimination were selected and the metabolic correlations linking them are identified. Principal component analysis on selected signals confirms metabolic variations, highlighting important details about the changes induced on the metabolic network by the presence of a Bt transgene in the maize genome.
A metabonomic study of transgenic maize (Zea mays) seeds revealed variations in osmolytes and branched amino acids / Manetti, Cesare; Bianchetti, Cristiano; Casciani, Lorena; Conti, Filippo; DI COCCO, Maria Enrica; Miccheli, Alfredo; M., Motto. - In: JOURNAL OF EXPERIMENTAL BOTANY. - ISSN 0022-0957. - 57:11(2006), pp. 2613-2625. [10.1093/jxb/erl025]
A metabonomic study of transgenic maize (Zea mays) seeds revealed variations in osmolytes and branched amino acids
MANETTI, Cesare;BIANCHETTI, Cristiano;CASCIANI, Lorena;CONTI, Filippo;DI COCCO, Maria Enrica;MICCHELI, Alfredo;
2006
Abstract
The aim of the research was to investigate metabolic variations associated with genetic modifications in the grains of Zea mays using metabonomic techniques. With this in mind, the non-targeted characteristic of the technique is useful to identify metabolites peculiar to the genetic modification and initially undefined. The results obtained showed that the genetic modification, introducing Cry1Ab gene expression, induces metabolic variations involving the primary nitrogen pathway. Concerning the methodological aspects, the experimental protocol used has been applied in this field for the first time. It consists of a combination of partial least square-discriminant analysis and principal component analysis. The most important metabolites for discrimination were selected and the metabolic correlations linking them are identified. Principal component analysis on selected signals confirms metabolic variations, highlighting important details about the changes induced on the metabolic network by the presence of a Bt transgene in the maize genome.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.