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.