Zhang GuiLu, Zhang WenJun
School of Life Sciences, Sun Yat-Sen University, Guangzhou, China.
Arch Insect Biochem Physiol. 2019 Jan;100(1):e21523. doi: 10.1002/arch.21523. Epub 2018 Nov 26.
The problem of resistance has not been solved fundamentally at present, because the development speed of new insecticides can not keep pace with the development speed of resistance, and the lack of understanding of molecular mechanism of resistance. Here we collected seed genes and their interacting proteins involved in insecticide resistance molecular mechanism in Drosophila melanogaster by literature mining and the String database. We identified a total of 528 proteins and 13514 protein-protein interactions. The protein interaction network was constructed by String and Pajek, and we analyzed the topological properties, such as degree centrality and eigenvector centrality. Proteasome complexes and drug metabolism-cytochrome P450 were an enrichment by Gene Ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. This is the first time to explore the insecticide resistance molecular mechanism of D. melanogaster by the methods and tools of network biology, it can provide the bioinformatic foundation for further understanding the mechanisms of insecticide resistance.
目前,抗性问题尚未得到根本解决,因为新型杀虫剂的研发速度跟不上抗性的发展速度,且对抗性分子机制缺乏了解。在此,我们通过文献挖掘和String数据库收集了参与黑腹果蝇抗杀虫剂分子机制的种子基因及其相互作用蛋白。我们共鉴定出528种蛋白质和13514种蛋白质-蛋白质相互作用。利用String和Pajek构建了蛋白质相互作用网络,并分析了拓扑性质,如度中心性和特征向量中心性。通过基因本体论和京都基因与基因组百科全书(KEGG)通路富集分析,蛋白酶体复合物和药物代谢-细胞色素P450得到了富集。这是首次利用网络生物学的方法和工具探索黑腹果蝇的抗杀虫剂分子机制,可为进一步了解抗杀虫剂机制提供生物信息学基础。