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Metabolic Profiles of Genetically Modified Potatoes using a Combination of Metabolite Fingerprinting and Multivariate Analysis
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  • Metabolic Profiles of Genetically Modified Potatoes using a Combination of Metabolite Fingerprinting and Multivariate Analysis
  • Metabolic Profiles of Genetically Modified Potatoes using a Combination of Metabolite Fingerprinting and Multivariate Analysis
저자명
Kim. Hyun-Soon,Kim. Suk-Weon,Park. Young-Seok,Kwon. Suk-Youn,Liu. Jang-Ryol,Joung. Hyouk,Jeon. Jae-Heung
간행물명
Biotechnology and bioprocess engineering
권/호정보
2009년|14권 6호|pp.738-747 (10 pages)
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한국생물공학회
파일정보
정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
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기타언어초록

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.