Council for Scientific and Industrial Research (CSIR), Biosciences, Brummeria, Pretoria, South Africa.
Plant Biotechnol J. 2010 May 1;8(4):436-51. doi: 10.1111/j.1467-7652.2009.00487.x. Epub 2010 Feb 3.
The aim of this study was to evaluate the use of four nontargeted analytical methodologies in the detection of unintended effects that could be derived during genetic manipulation of crops. Three profiling technologies were used to compare the transcriptome, proteome and metabolome of two transgenic maize lines with the respective control line. By comparing the profiles of the two transgenic lines grown in the same location over three growing seasons, we could determine the extent of environmental variation, while the comparison with the control maize line allowed the investigation of effects caused by a difference in genotype. The effect of growing conditions as an additional environmental effect was also evaluated by comparing the Bt-maize line with the control line from plants grown in three different locations in one growing season. The environment was shown to play an important effect in the protein, gene expression and metabolite levels of the maize samples tested where 5 proteins, 65 genes and 15 metabolites were found to be differentially expressed. A distinct separation between the three growing seasons was also found for all the samples grown in one location. Together, these environmental factors caused more variation in the different transcript/protein/metabolite profiles than the different genotypes.
本研究旨在评估四种非靶向分析方法在检测作物遗传操作过程中可能产生的意外影响方面的应用。三种分析技术被用于比较两个转基因玉米品系与各自对照系的转录组、蛋白质组和代谢组。通过比较在三个生长季节相同地点生长的两个转基因品系的图谱,我们可以确定环境变异的程度,而与对照玉米系的比较则可以研究由基因型差异引起的影响。通过比较在一个生长季节中在三个不同地点生长的 Bt-玉米系与对照系,还评估了生长条件作为附加环境效应的影响。结果表明,环境对所测试的玉米样品的蛋白质、基因表达和代谢物水平有重要影响,其中有 5 种蛋白质、65 个基因和 15 种代谢物的表达存在差异。在一个地点生长的所有样品之间也发现了三个生长季节之间的明显分离。这些环境因素一起导致不同的转录/蛋白质/代谢物图谱之间的变化比不同的基因型更大。