Prevalence and antibiotics resistance status of Salmonella in raw meat consumed in various areas of Lahore, Pakistan

Sci Rep. 2023 Dec 14;13(1):22205. doi: 10.1038/s41598-023-49487-2.

Abstract

This study reports the prevalence and antibiotics resistance status of Salmonella detected in raw meat from Lahore, Pakistan. Overall, N = 111 meat samples, were collected from local markets. Salmonella was recovered from 57 (51.35%) samples, including 45.83% of poultry, 60% of buffalo, 64.28% of cow, and 60% of goat meat samples. The predominant Salmonella strains were Salmonella enterica serovars; Typhimurium (45.4%), Typhi (27.2%), and Enteritidis (18.1%), identified by VITEK system and 16S rRNA gene sequencing. The isolates exhibited high resistance to Erythromycin (100%), Cefepime (98.24%), Colistin (94.73%), Azithromycin (92.98%), Tetracycline (87.71%), Polymyxin B (84.21%), Ciprofloxacin (84.21%), Trimethoprim-Sulfamethoxazole (80.70%), Nalidixic Acid (80.70%), Kanamycin (78.94%), Chloramphenicol (77.19%), Streptomycin (71.92%) and Ampicillin (64.91%). While the isolates exhibited more susceptibility to Meropenem (75.43%) and Amikacin (73.68%). N = 8 strains were designated as Multidrug Resistant (MDR) and N = 3 as Extensively Drug-Resistant (XDR) Salmonella. The PCR-based detection of resistance genes revealed the presence of blaTEM-1 gene (100%), catA1 gene (64%), and gyrA gene (18%). The whole genome sequencing (WGS) of two selected strains and subsequent downstream analysis confirmed the strains as MDR and XDR Salmonella enterica serovar Typhi. The study showed that raw meat consumed in Lahore carries a significantly high number of drug-resistant Salmonella.

MeSH terms

  • Animals
  • Anti-Bacterial Agents / pharmacology
  • Cattle
  • Drug Resistance, Multiple, Bacterial* / genetics
  • Female
  • Meat
  • Microbial Sensitivity Tests
  • Pakistan / epidemiology
  • Prevalence
  • RNA, Ribosomal, 16S
  • Salmonella / genetics
  • Salmonella enterica* / genetics

Substances

  • RNA, Ribosomal, 16S
  • Anti-Bacterial Agents