桃蚜关键抗性基因挖掘及抗蚜Cry蛋白预测

Discovery of Key Resistance Genes of Myzus persicae and Prediction of Anti-Aphid Cry Proteins

为了挖掘桃蚜(Myzus persicae)的关键抗性基因并构建抗性调控网络,通过加权基因共表达网络分析(WGCNA)和差异表达基因分析(DEGs)对桃蚜抗性研究的GEO数据库进行分析,筛选出2426个枢纽基因和2263个差异表达基因探针.将关键抗性基因在String数据库中进行蛋白质相互作用(PPI)分析,获得154个桃蚜关键抗性基因,并绘制桃蚜的抗性调控网络.结果表明:acpp基因的上调表达可能是大多数Cry蛋白不能有效杀死桃蚜的原因之一;参考抗蚜Cry1Cb2蛋白和11个靶标蛋白的对接规则,通过同源建模和分子对接等生物信息学技术,预测了10个新的Cry蛋白可能对桃蚜具有杀虫活性.

In order to discover the key resistance genes of the peach aphid(Myzus persicae)and construct the resistance control network,the GEO database of the resistance study of the Myzus persicae was analyzed by weighted gene coexpression network analysis(WGCNA)and differentially expressed genes analysis(DEGs),and 2426 hub genes and 2263 differentially expressed gene probes were screened.The key resistance genes were analyzed by protein-protein interaction(PPI)in the String database,then 154 key resistance genes of Myzus persicae were obtained,and the resistance control network of Myzus persicae was drawn.The results showed that the upregulation of acpp gene might be one of the reasons that most Cry proteins could not effectively kill the Myzus persicae.Referring to the docking rules of the anti-aphid Cry1 Cb2 proteins and 11 target proteins,10 new Cry proteins were predicted to have insecticidal activity against Myzus persicae through bioinformatics techniques such as homology modeling and molecular docking.