In Silico Genomic Surveillance of Virulence Factors and Antimicrobial Resistance in Clinical Strains of Salmonella enterica Isolated in Mexico
In Silico Genomic Surveillance of Virulence Factors and Antimicrobial Resistance in Clinical Strains of Salmonella enterica Isolated in Mexico
DOI:
https://doi.org/10.63622/RBS.2508Keywords:
Salmonella, comparative genomics, epiemiology, bioinformaticsAbstract
Salmonella enterica is one of the most relevant enteric pathogens worldwide due to its ability to cause diseases ranging from self-limiting gastroenteritis to severe systemic infections. This issue is further complicated by the increasing emergence of multidrug-resistant strains, posing a significant public health concern. In this study, in silico bioinformatics tools were employed to characterize the genetic repertoire of clinical S. enterica strains isolated in Mexico. A total of 22 closed genomes retrieved from public databases were analyzed. Taxonomic identity, serotype prediction, gene annotation, detection of virulence factors, and antimicrobial resistance determinants were performed, along with phylogenetic analysis. The most prevalent serotypes were Typhimurium, Newport, and Enteritidis, with the first two displaying a broader diversity of resistance and virulence-associated genes. These findings provide valuable insights into the genomic and serovar diversity of S. enterica in the Mexican clinical context and underscore the usefulness of computational approaches as efficient strategies for the molecular surveillance of pathogenic bacteria.
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