Prevalence and Antimicrobial Resistance Phenotypes of Salmonella Species Recovered at Various Stages of Broiler Operations in Hathazari, Bangladesh

International Journal of One Health 7 (2), 158-164; www.doi.org/10.14202/IJOH.2021.158-164

Posted: 18 Aug 2023

See all articles by Ferdausi Ali

Ferdausi Ali

University of Chittagong - Department of Microbiology

Tazriyan Noor Silvy

University of Chittagong - Department of Microbiology

Tanim Jabid Hossain

University of Chittagong - Department of Biochemistry and Molecular Biology; Laboratory for Health, Omics and Pathway Exploration (HOPE Lab)

Mohammad Kamal Uddin

University of Chittagong - Department of Microbiology

Mohammad Seraj Uddin

University of Chittagong - Department of Microbiology

Date Written: August 7, 2021

Abstract

Background and Aim: Dissemination of multidrug-resistant (MDR) Salmonella through food chains has serious health implications, with higher rates of morbidity and mortality. Broiler meat remains a major reservoir of Salmonella contamination. The lack of proper hygiene in local broiler operations has, therefore, prompted this research into the assessment of Salmonella contamination in local shops and associated antimicrobial resistance (AMR) phenotypes.

Materials and Methods: A total of 55 broiler samples including skin, meat, and swab samples from chopping and dressing sites were included in the study. The samples were collected from broiler shops in Hathazari, Bangladesh, and screened for the presence of Salmonella strains using culture-based methods. The isolates were biochemically characterized and further tested for AMR to eight common antibiotics using the disk diffusion technique.

Results: Salmonella contaminations were identified in 29% (16/55) of the broiler samples. Swab samples collected from the chopping sites appeared to be contaminated in higher proportions (33%) than those collected from the dressing areas (25%). On the other hand, the skin samples (50%) were detected with a higher percentage of contamination than the meat samples (25%). All Salmonella isolates showed resistance toward at least one of the eight antibiotics used. Although none of the isolates was resistant to all antibiotics, 18.75% showed resistance to a maximum of seven antibiotics. Resistance to nalidixic acid was most prevalent (87.5%), followed by sulfamethoxazole-trimethoprim (81.25%), erythromycin (81.25%), tetracycline (75%), streptomycin (56.25%), ampicillin-clavulanic acid (50%), chloramphenicol (43.75%), and cefotaxime (18.75%). The resistance patterns of the isolates were found to be highly diverse. The most frequently observed pattern was the following: Ampicillin-clavulanic acid-sulfamethoxazole-trimethoprim-nalidixic acid-tetracycline-chloramphenicol-streptomycin-erythromycin.

Conclusion: The relatively high prevalence of MDR strains in the samples underlies an urgent need for surveillance and control measures concerning hygiene and antibiotic use in local broiler operations.

Keywords: Antimicrobial resistance, chicken meat, multidrug-resistant, Salmonella, salmonellosis

Suggested Citation

Ali, Ferdausi and Silvy, Tazriyan Noor and Hossain, Tanim Jabid and Uddin, Mohammad Kamal and Uddin, Mohammad Seraj, Prevalence and Antimicrobial Resistance Phenotypes of Salmonella Species Recovered at Various Stages of Broiler Operations in Hathazari, Bangladesh (August 7, 2021). International Journal of One Health 7 (2), 158-164; www.doi.org/10.14202/IJOH.2021.158-164, Available at SSRN: https://ssrn.com/abstract=4237947

Ferdausi Ali

University of Chittagong - Department of Microbiology ( email )

Bangladesh

Tazriyan Noor Silvy

University of Chittagong - Department of Microbiology

Tanim Jabid Hossain (Contact Author)

University of Chittagong - Department of Biochemistry and Molecular Biology ( email )

Laboratory for Health, Omics and Pathway Exploration (HOPE Lab) ( email )

Chattogram
Bangladesh

Mohammad Kamal Uddin

University of Chittagong - Department of Microbiology

Mohammad Seraj Uddin

University of Chittagong - Department of Microbiology

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