Distinguishing transgenic from non-transgenic Arabidopsis plants by H-1 NMR-based metabolic fingerprinting

文献类型： 外文期刊

第一作者： Xia, Bin

作者： Xia, Bin;Ren, Yanfei;Qu, Li-Jia;Peng, Yufa

作者机构：

关键词： Arabidopsis;metabonomics;nuclear magnetic resonance;principal component analysis;orthogonal signal correction

期刊名称：JOURNAL OF GENETICS AND GENOMICS （ 影响因子：4.275； 五年影响因子：5.223 ）

ISSN： 1673-8527

年卷期： 2009 年 36 卷 10 期

页码：

收录情况： SCI

摘要： 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., H-1 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.

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