Sobrinho Santos Eliane Macedo, Almeida Anna Christina, Santos Hércules Otacílio, Cangussu Alex Sander Rodrigues, Almeida Deborah Aires, Costa Kattyanne Souza
Department of Dentistry, Universidade Estadual de Montes Claros, Minas Gerais, 39400-000, Brazil.
Instituto Federal do Norte de Minas Gerais, Campus Araçuaí, Minas Gerais, 39600-000, Brazil.
J Vet Med Sci. 2018 Aug 30;80(8):1317-1324. doi: 10.1292/jvms.16-0581. Epub 2018 Jun 25.
We conducted an in silico analysis to search for important genes in the pathogenesis of Caseous Lymphadenitis (CL), with prospects for use in formulating effective vaccines against this disease. For this, we performed a survey of proteins expressed by Corynebacterium pseudotuberculosis, using protein sequences collected from the NCBI GenPept database and the keywords "caseous lymphadenitis" and "Corynebacterium pseudotuberculosis" and "goats". A network was developed using the STRING 10 database, with a confidence score of 0.900. For every gene interaction identified, we summed the interaction score of each gene, generating a combined association score to obtain a single score named weighted number of links (WNL). Genes with the highest WNL were named "leader genes". Ontological analysis was extracted from the STRING database through Kyoto Encyclopedia of Genes and Genomes (KEGG) database. A search in the GenPept database revealed 2,124 proteins. By using and plotting with STRING 10, we then developed an in silico network model comprised of 1,243 genes/proteins interconnecting through 3,330 interactions. The highest WNL values were identified in the rplB gene, which was named the leader gene. Our ontological analysis shows that this protein acts effectively mainly on Metabolic pathways and Biosynthesis of secondary metabolites. In conclusion, the in silico analyses showed that rplB has good potential for vaccine development. However, functional assays are needed to make sure that this protein can potentially induce both humoral and cellular immune responses against C. pseudotuberculosis in goats.
我们进行了一项计算机模拟分析,以寻找干酪性淋巴结炎(CL)发病机制中的重要基因,期望用于研发针对该疾病的有效疫苗。为此,我们利用从NCBI GenPept数据库收集的蛋白质序列以及关键词“干酪性淋巴结炎”、“伪结核棒状杆菌”和“山羊”,对伪结核棒状杆菌表达的蛋白质进行了调查。使用STRING 10数据库构建了一个置信度评分为0.900的网络。对于每一个鉴定出的基因相互作用,我们将每个基因的相互作用得分相加,生成一个综合关联得分,以获得一个名为加权链接数(WNL)的单一分数。WNL值最高的基因被命名为“主导基因”。通过京都基因与基因组百科全书(KEGG)数据库从STRING数据库中提取本体分析。在GenPept数据库中的搜索揭示了2124种蛋白质。然后,通过使用STRING 10并进行绘图,我们构建了一个计算机模拟网络模型,该模型由1243个基因/蛋白质通过3330个相互作用相互连接。在rplB基因中确定了最高的WNL值,该基因被命名为主导基因。我们的本体分析表明,这种蛋白质主要在代谢途径和次生代谢物生物合成中发挥有效作用。总之,计算机模拟分析表明rplB在疫苗开发方面具有良好的潜力。然而,需要进行功能测定以确保该蛋白质能够潜在地诱导山羊针对伪结核棒状杆菌的体液免疫和细胞免疫反应。