Genetic characterization and in silico serotyping of 62 Salmonella enterica isolated from Korean poultry operations.

ABSTRACT:

Background

The conventional method of antigen-based serotyping for Salmonella poses challenges due to the necessity of utilizing over 150 antisera. More recently, in silico Salmonella serotyping has emerged as a predictive alternative. The purpose of this study was to predict the serovars of 62 Salmonella enterica strains isolated from Korean poultry operations and their genetic characteristics using whole genome sequencing. The analysis employed diverse methods, including ribosomal, and core genome multi-locus sequence typing (MLST), based on Salmonella In Silico Typing Resource (SISTR). Pangenome, clusters of orthologous groups (COG) analysis, and identification of virulence and antibiotic resistance genes were conducted.

Results

Salmonella enterica subspecies enterica ser

SUBMITTER: Hong H 

PROVIDER: S-EPMC11841271 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature