Abstract:

In order to explore the common genes and molecular interaction mechanism of Newcastle disease virus and Streptococcus after infection， and to gain a deeper understanding of the synergistic infection relationship between the two， the experiment obtained the relevant gene chip datasets of Newcastle disease virus and Streptococcus clinically infected chickens from the GEO database， and conducted secondary bioinformatics data mining， and carried out GO and KEGG pathway analysis and protein interaction network construction. The results showed that there were 34 differentially expressed genes （DEGs） after Newcastle disease virus infection and Streptococcus enteritidis infection. Through GO functional annotation and KEGG enrichment analysis， the above genes were mainly involved in biological processes such as response to viruses， cell death， programmed cell death， regulation of cytokine production， and NOD-like receptor signaling pathway， cytokine receptor interaction， Toll-like receptor signaling pathway. The results of protein interaction network revealed there were 15 interacting proteins with chicken Newcastle disease virus and Streptococcus infection. Further， 10 pivotal genes， including IL6、TNFSF13B、TNRSF1A、IL1B、TLR4、CD83、IRF7、IRF1、SOCS1、SOCS3， were screened， which were all differentially up-regulated genes. The clinical verification results of core genes showed that some core genes were significantly up-regulated consistently in both Newcastle disease virus infection and Streptococcus infection， which further indicated that there was an interaction between the two. In conclusion， Newcastle disease and Avian Streptococcosis not only behaved similar clinical symptoms， but also had interacting genes in the mechanism of action.

Key words: Newcastle disease in chickens, Avian Streptococcosis, bioinformatics, shared differentially expressed genes

摘要：

为了探讨新城疫病毒与鸡链球菌二者各自感染鸡后的共同基因及其分子相互作用机理，深入了解二者协同感染关系，从GEO数据库中获取新城疫病毒和链球菌临床上感染鸡的相关基因芯片数据集，进行生物信息学数据二次挖掘，并开展了GO功能注释、KEGG通路分析以及蛋白质相互作用网络的构建。结果表明，新城疫病毒感染和链球菌感染后机体的差异表达基因(differentially expressed genes，DEGs)共34个。GO功能注释和KEGG富集分析显示，这些DEGs主要参与对病毒的反应、细胞死亡、程序性细胞死亡、对细胞因子产生的调节作用等生物学过程和NOD样受体信号通路、细胞因子受体的相互作用、Toll样受体信号通路等。蛋白质互作网络显示二者共有15个蛋白参与相同的生物学功能，并进一步分析筛选出IL6、TNFSF13B、TNRSF1A、IL1B、TLR4、CD83、IRF7、IRF1、SOCS1、SOCS3 10个关键基因，均为表达上调基因。对核心基因的临床验证结果显示，部分核心基因在鸡新城疫病毒感染与鸡链球菌感染出现一致的显著性上调，且二者存在相互作用。研究结果表明，鸡新城疫与鸡链球菌病不仅在临床症状表现相似，且二者在感染机体时也存在相似的作用机理。

关键词: 鸡新城疫, 鸡链球菌病, 生物信息学, 共享差异表达基因