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基于 LC/MS 的代谢组学分析评估 cry1Ac 和 sck 基因转基因水稻的非预期影响。

Metabolic profiling based on LC/MS to evaluate unintended effects of transgenic rice with cry1Ac and sck genes.

机构信息

CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, The Chinese Academy of Sciences, Dalian 116023, China.

出版信息

Plant Mol Biol. 2012 Mar;78(4-5):477-87. doi: 10.1007/s11103-012-9876-3. Epub 2012 Jan 22.

Abstract

As a primary characteristic of substantial equivalence, the evaluation of unintended effects of genetically modified plants has been evolving into an important field of research. In this study, a metabolic profiling method for rice seeds was developed using rapid resolution liquid chromatography/quadrupole time-of-flight mass spectrometry. The analytical properties of the method, including the linearity, reproducibility, intra-day precision and inter-day precision, were investigated and were found to be satisfactory. The method was then applied to investigate the differences between transgenic rice and its native counterparts, in addition to the differences found between native rice with different sowing dates or locations. Global metabolic phenotype differences were visualized, and metabolites from different discriminated groups were discovered using multivariate data analysis. The results indicated that environmental factors played a greater role than gene modification for most metabolites, including tryptophan, 9,10,13-trihydroxyoctadec-11-enoic acid, and lysophosphatidylethanolamine 16:0. The concentrations of phytosphingosine, palmitic acid, 5-hydroxy-2-octadenoic acid and three other unidentified metabolites varied slightly due to gene modification.

摘要

作为实质等同性的一个主要特征,转基因植物的非预期效应评估已经发展成为一个重要的研究领域。本研究采用快速分辨液相色谱/四极杆飞行时间质谱法建立了一种稻米种子的代谢物分析方法。考察了该方法的分析性能,包括线性、重现性、日内精密度和日间精密度,结果均令人满意。该方法进一步用于研究转基因稻米与其天然对应物之间的差异,以及不同播种日期或地点的天然稻米之间的差异。采用多元数据分析可视化了全局代谢表型差异,并发现了来自不同区分组的代谢物。结果表明,对于大多数代谢物,包括色氨酸、9,10,13-三羟基十八碳-11-烯酸和溶血磷脂酰乙醇胺 16:0,环境因素比基因修饰的作用更大。由于基因修饰,植烷醇、棕榈酸、5-羟基-2-辛烯酸和另外三种未鉴定的代谢物的浓度略有变化。

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