Stéphane Bernillon1,2, Mickaël Maucourt1,2, Catherine Deborde1,2, Sylvain Chéreau3, Daniel Jacob1,2, Nathalie Priymenko4, Bérengère Laporte4, Xavier Coumoul5, Bernard Salles4, Peter M Rogowsky6, Florence Richard-Forget3, Annick Moing7,8. 1. UMR1332 Biologie du Fruit et Pathologie, INRA, Univ. Bordeaux, Centre INRA de Nouvelle Aquitaine - Bordeaux, 71 av Edouard Bourlaux, 33140, Villenave d'Ornon, France. 2. Plateforme Métabolome du Centre de Génomique Fonctionnelle Bordeaux, MetaboHUB, PHENOME, IBVM, Centre INRA de Nouvelle Aquitaine - Bordeaux, 71 av Edouard Bourlaux, 33140, Villenave d'Ornon, France. 3. UR MycSA, INRA, Centre INRA de Nouvelle Aquitaine - Bordeaux, 71 av Edouard Bourlaux, 33140, Villenave d'Ornon, France. 4. Toxalim (Research Centre in Food Toxicology), Université de Toulouse, INRA, ENVT, INP-Purpan, UPS, 31027, Toulouse, France. 5. UMRS1124, Toxicologie, Pharmacologie et Signalisation Cellulaire, INSERM, Univ. Paris Descartes, 75000, Paris, France. 6. Laboratoire Reproduction et Développement des Plantes, Univ. Lyon, ENS de Lyon, UCB Lyon 1 CNRS, INRA, 69000, Lyon, France. 7. UMR1332 Biologie du Fruit et Pathologie, INRA, Univ. Bordeaux, Centre INRA de Nouvelle Aquitaine - Bordeaux, 71 av Edouard Bourlaux, 33140, Villenave d'Ornon, France. annick.moing@inra.fr. 8. Plateforme Métabolome du Centre de Génomique Fonctionnelle Bordeaux, MetaboHUB, PHENOME, IBVM, Centre INRA de Nouvelle Aquitaine - Bordeaux, 71 av Edouard Bourlaux, 33140, Villenave d'Ornon, France. annick.moing@inra.fr.
Abstract
INTRODUCTION: In addition to classical targeted biochemical analyses, metabolomic analyses seem pertinent to reveal expected as well as unexpected compositional differences between plant genetically modified organisms (GMO) and non-GMO samples. Data previously published in the existing literature led to divergent conclusions on the effect of maize transgenes on grain compositional changes and feeding effects. Therefore, a new study examining field-grown harvested products and feeds derived from them remains useful. OBJECTIVES: Our aim was to use a metabolomics approach to characterize grain and grain-based diet compositional changes for two GMO events, one involving Bacillus thuringiensis toxin to provide insect resistance and the other one conferring herbicide tolerance by detoxification of glyphosate. We also investigated the potential compositional modifications induced by the use of a glyphosate-based herbicide on the transgenic line conferring glyphosate tolerance. RESULTS: The majority of statistically significant differences in grain composition, evidenced by the use of 1H-NMR profiling of polar extracts and LC-ESI-QTOF-MS profiling of semi-polar extracts, could be attributed to the combined effect of genotype and environment. In comparison, transgene and glyphosate effects remained limited in grain for the compound families studied. Some but not all compositional changes observed in grain were also detected in grain-based diets formulated for rats. CONCLUSION: Only part of the data previously published in the existing literature on maize grains of plants with the same GMO events could be reproduced in our experiment. All spectra have been deposited in a repository freely accessible to the public. Our grain and diet characterization opened the way for an in depth study of the effects of these diets on rat health.
INTRODUCTION: In addition to classical targeted biochemical analyses, metabolomic analyses seem pertinent to reveal expected as well as unexpected compositional differences between plant genetically modified organisms (GMO) and non-GMO samples. Data previously published in the existing literature led to divergent conclusions on the effect of maize transgenes on grain compositional changes and feeding effects. Therefore, a new study examining field-grown harvested products and feeds derived from them remains useful. OBJECTIVES: Our aim was to use a metabolomics approach to characterize grain and grain-based diet compositional changes for two GMO events, one involving Bacillus thuringiensis toxin to provide insect resistance and the other one conferring herbicide tolerance by detoxification of glyphosate. We also investigated the potential compositional modifications induced by the use of a glyphosate-based herbicide on the transgenic line conferring glyphosate tolerance. RESULTS: The majority of statistically significant differences in grain composition, evidenced by the use of 1H-NMR profiling of polar extracts and LC-ESI-QTOF-MS profiling of semi-polar extracts, could be attributed to the combined effect of genotype and environment. In comparison, transgene and glyphosate effects remained limited in grain for the compound families studied. Some but not all compositional changes observed in grain were also detected in grain-based diets formulated for rats. CONCLUSION: Only part of the data previously published in the existing literature on maize grains of plants with the same GMO events could be reproduced in our experiment. All spectra have been deposited in a repository freely accessible to the public. Our grain and diet characterization opened the way for an in depth study of the effects of these diets on rat health.
Entities:
Keywords:
GMO; Grain; Maize; Metabolomics; Rat diet
Authors: Thomas Frank; Richard M Röhlig; Howard V Davies; Eugenia Barros; Karl-Heinz Engel Journal: J Agric Food Chem Date: 2012-03-12 Impact factor: 5.279
Authors: Carlos Leon; Irene Rodriguez-Meizoso; Marianna Lucio; Virginia Garcia-Cañas; Elena Ibañez; Philippe Schmitt-Kopplin; Alejandro Cifuentes Journal: J Chromatogr A Date: 2009-05-04 Impact factor: 4.759
Authors: Gareth S Catchpole; Manfred Beckmann; David P Enot; Madhav Mondhe; Britta Zywicki; Janet Taylor; Nigel Hardy; Aileen Smith; Ross D King; Douglas B Kell; Oliver Fiehn; John Draper Journal: Proc Natl Acad Sci U S A Date: 2005-09-26 Impact factor: 11.205