State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, People's Republic of China.
PLoS One. 2012;7(5):e37078. doi: 10.1371/journal.pone.0037078. Epub 2012 May 11.
DNA microarray analysis is an effective method to detect unintended effects by detecting differentially expressed genes (DEG) in safety assessment of genetically modified (GM) crops. With the aim to reveal the distribution of DEG of GM crops under different conditions, we performed DNA microarray analysis using transgenic rice Huahui 1 (HH1) and its non-transgenic parent Minghui 63 (MH63) at different developmental stages and environmental conditions. Considerable DEG were selected in each group of HH1 under different conditions. For each group of HH1, the number of DEG was different; however, considerable common DEG were shared between different groups of HH1. These findings suggested that both DEG and common DEG were adequate for investigation of unintended effects. Furthermore, a number of significantly changed pathways were found in all groups of HH1, indicating genetic modification caused everlasting changes to plants. To our knowledge, our study for the first time provided the non-uniformly distributed pattern for DEG of GM crops at different developmental stages and environments. Our result also suggested that DEG selected in GM plants at specific developmental stage and environment could act as useful clues for further evaluation of unintended effects of GM plants.
DNA 微阵列分析是一种有效的方法,通过检测基因表达差异(DEG)来检测转基因作物安全评估中的非预期效应。为了揭示不同条件下转基因作物 DEG 的分布,我们使用转基 因水稻华恢 1 号(HH1)及其非转基因亲本明恢 63(MH63)在不同发育阶段和环境条件下进行了 DNA 微阵列分析。在不同条件下,HH1 的每个组中都选择了相当数量的 DEG。对于 HH1 的每个组,DEG 的数量不同;然而,HH1 的不同组之间存在相当数量的共同 DEG。这些发现表明,DEG 和共同 DEG 都足以用于调查非预期效应。此外,在所有 HH1 组中都发现了一些显著改变的途径,表明遗传修饰对植物造成了持久的变化。据我们所知,我们的研究首次提供了不同发育阶段和环境下转基因作物 DEG 的不均匀分布模式。我们的结果还表明,在特定发育阶段和环境下选择的 GM 植物中的 DEG 可以作为进一步评估 GM 植物非预期效应的有用线索。