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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
agricultural and biological sciences
Metabolite profiling of maize kernels-genetic modification versus environmental influence
Journal of Agricultural and Food Chemistry, Volume 60, No. 12, Year 2012
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Description
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 (p < 0.01) 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 (p < 0.01) 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. © 2012 American Chemical Society.
Authors & Co-Authors
Frank, Thomas
Germany, Munich
Technische Universität München
Röhlig, Richard M.
Germany, Munich
Technische Universität München
Davies, H. V.
United Kingdom, Aberdeen
The James Hutton Institute
Barros, Eugenia
South Africa, Pretoria
The Council for Scientific and Industrial Research
Engel, Karl Heinz
Germany, Munich
Technische Universität München
Statistics
Citations: 85
Authors: 5
Affiliations: 3
Identifiers
Doi:
10.1021/jf204167t
ISSN:
00218561
e-ISSN:
15205118
Research Areas
Genetics And Genomics
Study Locations
South Africa