Metabolic profiles of genetically modified potatoes using a combination of metabolite fingerprinting and multivariate analysis |
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Authors: | Hyun Soon Kim Suk Weon Kim Young Seok Park Suk Youn Kwon Jang Ryol Liu Hyouk Joung Jae Heung Jeon |
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Institution: | (1) Federal Research Centre for Nutrition and Food, Institute of Nutritional Physiology, Haid-und-Neu-Str. 9, 76131 Karlsruhe, Germany;(2) Technical University of Munich, Center of Life and Food Sciences, Weihenstephan, Freising-Weihenstephan, Germany |
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Abstract: | Comprehensive metabolite fingerprinting of transgenic potatoes that constitutively express human beta amyloid, curdlan synthase
(CRDS), and glycogen synthase (glgA); and of wild-type potatoes was carried out using FT-IR and 1H NMR spectroscopy in combination with multivariate analyses. Comparison of metabolic patterns between transgenic and wild-type
potatoes revealed that there were neither quantitative nor qualitative differences in metabolites between transgenic potatoes
expressing human beta amyloid, CRDS or glgA, and non-transformed control potatoes. However, there were metabolic differences between two control potato lines — one
that was fresh and the other stored. After 1 week of storage, comprehensive metabolite patterns were significantly modified.
Although the differences between CRDS and glgA transgenic and control potato lines were small, PCA analysis of FT-IR and 1H NMR spectral data identified two distinct control lines. These results suggest that the comprehensive metabolite changes
in control potato lines, which occurred after 1 week of storage, were greater than the differences between CRDS and glgA transgenic and wild-type potato lines. Thus, the combination of FT-IR and 1H NMR spectral data and multivariate analysis was valuable for the detection of comprehensive differences in metabolic profiles
between transgenic and non-transformed control plants, even though peak-signal overlap prevented assignment of pure compounds.
The combination of FT-IR and 1H NMR spectral data and multivariate analysis is a simple and rapid method for evaluation of the metabolic equivalence of
GM crops. |
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