基于气相色谱-质谱联用技术的代谢组学方法在转植酸酶基因玉米代谢物指纹图谱分析中的应用

Metabolic Fingerprint Analysis of Transgenic Maize with phyA2 Using Gas Chromatography-Mass Spectrometry

目的:建立气相色谱-质谱联用技术(GC-MS)的代谢组学方法,初步研究转基因株系与对照株系之间代谢物指纹图谱的差异性,为转基因作物安全的评价提供参考。方法:优化提取条件,考察色谱条件,并采用主成分分析(PCA)数据处理方法对转基因株系及对照进行模式识别。结果:优化了提取条件及色谱条件,建立了GC-MS的代谢组学方法,获得了小分子的代谢产物的表达谱,发现转基因与其对照之间呈现出显著性差异。结论:优化的GC-MS的代谢组学方法可以从代谢水平检测转基因作物,找出差异性,为转基因作物的检测与评价提供技术支持。

Objective： Metabolomics method by gas chromatography-mass spectrometry（GC-MS） was established,and the metabolite fingerprint differences between the transgenic plants and control lines was studied,for the reason of providing a reference value for the safety of the transgenic plants.Methods： Extraction conditions and chro-matographic conditions were optimized,and principal component analysis（PCA） mode were used to extract the valu-able information from the complex biological samples.Results： Extraction conditions and chromatographic conditions were optimized successfully,GC-MS metabolomics method was set up,small molecule metabolite expression profiles from differernt samples＇s metabolites were obtained.Conclusion： GC-MS metabolomics detection methods of optimization in metabolic level can find the differences of samples,and provide the technical support for the testing and evaluation of the genetically modified crops