Mechanism of Brassica oleracea performance in bovine infectious mastitis by bioinformatic analysis.

Bovine mastitis affects dairy cattle worldwide and, despite the existing therapeutic measures, is not totally under control, leading to the need to develop alternative strategies. Brassica oleracea is a phytochemical commonly used in the control and prevention of human and animal diseases. The use of this plant in the treatment of infectious bovine mastitis has been little referenced in the literature and its molecular mechanism of action in this disease has not been clarified yet. This study aimed to reveal, through bioinformatic analysis, the molecular mechanism of action of Brassica oleracea in bovine mastitis. We investigated genes expressed in the signaling pathways of bovine mastitis and Brassica oleracea performance and elaborated the Venn diagram. A gene network was developed using the STRING 10 database. Leader genes were identified by calculating the weighted number of links (WNL). The NetworkAnalyzer plugin for Cytoscape software was used to characterize network topology. For the visualization of highly interconnected regions in the network, the MCODE was used. The BINGO and GFD-Net plugins were used to perform the ontological analysis. The TP53 and MTOR leader genes were identified in the sub-networks of the bovine mastitis signaling pathway and Brassica oleracea performance, respectively. Topological analysis confirmed the leader condition of the genes. Although the overlap of genes in the Venn diagram was not observed, the leader genes were found to be interconnected (confidence = 0.9). In the network that interconnected the leader genes two molecular complexes were detected and the ontological analysis revealed biological processes, cellular components and important molecular functions. It was concluded that Brassica oleracea may be a promising candidate to be included in a mammalian herbal cocktail against infectious bovine mastitis by interfering in the mechanisms of action of genes such as MTOR and TP53.

Leader gene of Corynebacterium pseudotuberculosis may be useful in vaccines against caseous lymphadenitis of goats: a bioinformatics approach.

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.