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首页> 外文期刊>Proteome science >Comparative proteomic analysis of genetically modified maize grown under different agroecosystems conditions in Brazil
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Comparative proteomic analysis of genetically modified maize grown under different agroecosystems conditions in Brazil

机译：巴西不同农业生态系统条件下种植的转基因玉米的比较蛋白质组学分析

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Background Profiling technologies allow the simultaneous measurement and comparison of thousands of cell components without prior knowledge of their identity. In the present study, we used two-dimensional gel electrophoresis combined with mass spectrometry to evaluate protein expression of Brazilian genetically modified maize hybrid grown under different agroecosystems conditions. To this effect, leaf samples were subjected to comparative analysis using the near-isogenic non-GM hybrid as the comparator. Results In the first stage of the analysis, the main sources of variation in the dataset were identified by using Principal Components Analysis which correlated most of the variation to the different agroecosystems conditions. Comparative analysis within each field revealed a total of thirty two differentially expressed proteins between GM and non-GM samples that were identified and their molecular functions were mainly assigned to carbohydrate and energy metabolism, genetic information processing and stress response. Conclusions To the best of our knowledge this study represents the first evidence of protein identities with differentially expressed isoforms in Brazilian MON810 genetic background hybrid grown under field conditions. As global databases on outputs from “omics” analysis become available, these could provide a highly desirable benchmark for safety assessments.
机译：背景技术分析技术允许同时测量和比较数千个细胞成分，而无需事先知道它们的身份。在本研究中，我们使用二维凝胶电泳结合质谱法评估了在不同农业生态系统条件下生长的巴西转基因玉米杂交种的蛋白质表达。为此，使用近等基因非转基因杂种作为比较剂对叶片样品进行比较分析。结果在分析的第一阶段，使用主成分分析确定了数据集的主要变异来源，该分析将大部分变异与不同的农业生态系统条件相关联。每个领域的比较分析表明，已鉴定出GM和非GM样品之间共有32种差异表达的蛋白质，其分子功能主要分配给碳水化合物和能量代谢，遗传信息处理和应激反应。结论据我们所知，本研究代表了在田间条件下生长的巴西MON810遗传背景杂种中具有差异表达同工型的蛋白质身份的第一个证据。随着关于“组学”分析输出的全球数据库的可用，这些数据库可以为安全评估提供非常理想的基准。

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