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Biofilm Formation, Antimicrobial Resistance Genes, and Genetic Diversity of Salmonella Enterica Subspecies Enterica Serotype Enteritidis Isolated From Food and Animal Sources in Iran Publisher Pubmed



Soltan Dallal MM1, 2 ; Zeynali Kelishomi F3 ; Nikkhahi F3 ; Zahraei Salehi T4 ; Fardsanei F3 ; Peymani A3
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Authors Affiliations
  1. 1. Division of Food Microbiology, Department of Pathobiology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
  2. 2. Food Microbiology Research Center, Tehran University of Medical Sciences, Tehran, Iran
  3. 3. Medical Microbiology Research Center, Qazvin University of Medical Sciences, Qazvin, Iran
  4. 4. Department of Microbiology, Faculty of Veterinary Medicine, University of Tehran, Tehran, Iran

Source: Journal of Global Antimicrobial Resistance Published:2023


Abstract

Objectives: Salmonella enterica serovar Entritidis is an important pathogen in foodborne diseases and causes gastroenteritis. Several studies have investigated the genetic diversity of the strains of this bacterium. However, our knowledge of the discriminatory power of the molecular methods is limited. Methods: In total, 34 strains of S. enteritidis were isolated from food related to animals. Antibiotic resistance of the strains, antibiotic resistance genes, and biofilm formation capacity of the strains were evaluated. For the genetic analysis of the strains, PFGE was performed using AvrII restriction enzyme. Results: Among the tested antibiotics, cefuroxime, nalidixic acid, and ciprofloxacin showed the highest resistance rates (79.4%, 47%, and 44.2%, respectively). Only three antibiotic-resistance genes were identified in these strains (blaTEM: 67.6%, tetA: 9%, and sul2: 3%). In total, 91% of the strains were biofilm producers. Clustering of strains using AvrII for 26 samples with the same XbaI PFGE profile showed that these strains were in one clone and had high homogeneity. Conclusions: In conclusion, it is better to use a combination of several typing methods for typing strains that are genetically very close so that the results are reliable. © 2023 The Author(s)
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