Distinguishing transgenic from non-transgenic Arabidopsis plants by (1)H NMR-based metabolic fingerprinting.
We have recently reported the construction of an nuclear magnetic resonance (NMR)-based metabonomics study platform, Automics. To examine the application of Automics in transgenic plants, we performed metabolic fingerprinting analysis, i.e., (1)H NMR spectroscopy and multivariate analysis, on wild-type and transgenic Arabidopsis. We found that it was possible to distinguish wild-type from four transgenic plants by PLS-DA following application of orthogonal signal correction (OSC). Scores plot following OSC clearly demonstrates significant variation between the transgenic and non-transgenic groups, suggesting that the metabolic changes among wild-type and transgenic lines are possibly associated with transgenic event. We also found that the major contributing metabolites were some specific amino acids (i.e., threonine and alanine), which could correspond to the insertion of the selective marker BAR gene in the transgenic plants. Our data suggests that NMR-based metabonomics is an efficient method to distinguish fingerprinting difference between wild-type and transgenic plants, and can potentially be applied in the bio-safety assessment of transgenic plants.
National Key Laboratory of Protein Engineering and Plant Genetic Engineering, College of Life Sciences, Peking University, Beijing 100871, China.
Yanfei
Y
Ren
Tao
T
Wang
Yufa
Y
Peng
Bin
B
Xia
Li-Jia
LJ
Qu
D017360:Arabidopsis / Q000235:genetics* / Q000378:metabolism*; D016002:Discriminant Analysis; D016018:Least-Squares Analysis; D009682:Magnetic Resonance Spectroscopy; D055432:Metabolomics / Q000379:methods*; D015999:Multivariate Analysis; D010936:Plant Extracts / Q000378:metabolism; D018515:Plant Leaves / Q000737:chemistry; D030821:Plants, Genetically Modified; D025341:Principal Component Analysis; D012449:Safety
D010936:Plant Extracts