Metabolite profiling of maize kernels--genetic modification versus environmental influence
| Autor: | Eugenia Barros, Howard V. Davies, Richard M. Röhlig, Thomas Frank, Karl-Heinz Engel |
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| Rok vydání: | 2012 |
| Předmět: |
Genotype
Metabolite Bacillus thuringiensis Glycine Biology Environment Zea mays Gas Chromatography-Mass Spectrometry chemistry.chemical_compound South Africa Animal science Germany Botany Natural variability General Chemistry Plants Genetically Modified Genetically modified organism chemistry Metabolite profiling Seeds Metabolome Analysis of variance Seasons General Agricultural and Biological Sciences Herbicide Resistance |
| Zdroj: | Journal of agricultural and food chemistry. 60(12) |
| ISSN: | 1520-5118 |
| Popis: | A metabolite profiling approach based on gas chromatography-mass spectrometry (GC-MS) was applied to investigate the metabolite profiles of genetically modified (GM) Bt-maize (DKC78-15B, TXP 138F) and Roundup Ready-maize (DKC78-35R). For the comparative investigation of the impact of genetic modification versus environmental influence on the metabolite profiles, GM maize was grown together with the non-GM near-isogenic comparators under different environmental conditions, including several growing locations and seasons in Germany and South Africa. Analyses of variance (ANOVA) revealed significant differences between GM and non-GM maize grown in Germany and South Africa. For the factor genotype, 4 and 3%, respectively, of the total number of peaks detected by GC-MS showed statistically significant differences (p0.01) in peak heights as compared to the respective isogenic lines. However, ANOVA for the factor environment (growing location, season) revealed higher numbers of significant differences (p0.01) between the GM and the non-GM maize grown in Germany (42%) and South Africa (10%), respectively. This indicates that the majority of differences observed are related to natural variability rather than to the genetic modifications. In addition, multivariate data assessment by means of principal component analysis revealed that environmental factors, that is, growing locations and seasons, were dominant parameters driving the variability of the maize metabolite profiles. |
| Databáze: | OpenAIRE |
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