Biotechnology and Bioprocess Engineering

, Volume 14, Issue 6, pp 738–747 | Cite as

Metabolic profiles of genetically modified potatoes using a combination of metabolite fingerprinting and multivariate analysis

  • Hyun Soon Kim
  • Suk Weon Kim
  • Young Seok Park
  • Suk Youn Kwon
  • Jang Ryol Liu
  • Hyouk Joung
  • Jae Heung Jeon
Articles
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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.

Keywords

FT-IR spectroscopy genetically modified potatoes 1H NMR spectroscopy multivariate analysis principal component analysis (PCA) 
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Copyright information

© The Korean Society for Biotechnology and Bioengineering and Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Hyun Soon Kim
    • 1
  • Suk Weon Kim
    • 2
  • Young Seok Park
    • 2
  • Suk Youn Kwon
    • 1
  • Jang Ryol Liu
    • 2
  • Hyouk Joung
    • 1
  • Jae Heung Jeon
    • 1
  1. 1.Plant system engineering research centerKorea Research Institute of Bioscience and Biotechnology (KRIBB)DaejeonKorea
  2. 2.Biological resource centerKorea Research Institute of Bioscience and Biotechnology (KRIBB)DaejeonKorea

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