AI Article Synopsis

  • Researchers studied the genomic diversity of non-typhoidal Salmonella in raw chicken across three central Mexican states, analyzing 192 strains collected from various retail sources using whole-genome sequencing.
  • Among the twenty identified serovars, Infantis, Schwarzengrund, and Enteritidis were the most prevalent, with variations in serovar distribution and antimicrobial resistance (AMR) genes linked to different states, years, seasons, and retail establishments.
  • The study found a total of 145 virulence genes and classified strains into 32 virulotypes, linking several strains to significant SNP clusters that matched global isolates, providing insights for Salmonella epidemiology and risk management strategies.

Article Abstract

The genomic diversity of circulating non-typhoidal Salmonella in raw chicken was investigated in three states of central Mexico. A total of 192 S. enterica strains from chicken meat samples collected at supermarkets, fresh markets, and butcher shops were analyzed by whole-genome sequencing. The serovar distribution, occurrence of genes encoding for antimicrobial resistance, metal resistance, biocide resistance, plasmids and virulence factors, and clonal relatedness based on single nucleotide polymorphism (SNP) analysis were investigated. Serovars Infantis, Schwarzengrund and Enteritidis predominated among twenty identified. The distribution of serovars and proportion of AMR genes was different according to the state, year, season, and retail establishment (p < 0.001). Genes encoding metals resistance were identified in all the strains. A total of 145 virulence genes were identified and strains were classified into 32 virulotypes; serovars Infantis, Typhimurium, and Enteritidis showed the highest number of virulence genes. The strains matched 34 SNP clusters in the NCBI Pathogen Detection server and 59 %, which corresponded to Infantis, Schwarzengrund, Saintpaul, and Enteritidis, were associated with five major clusters and matched with chicken, environmental and clinical isolates from at least three countries. These results provide useful information to understand the epidemiology of Salmonella, conduct microbial risk assessment, and design risk-based control measures.

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Source
http://dx.doi.org/10.1016/j.ijfoodmicro.2023.110526DOI Listing

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