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Ripon, R.K., Motahara, U., Ahmed, A., Devnath, N., Mahua, F.A., Hashem, R.B., Ishadi, K.S., Alam, A., Sujan, M.S. and Sarker, M.S, ‘‘Exploring the prevalence of antibiotic resistance patterns and drivers of antibiotics resistance of Salmonella in livestock and poultry-derived foods: a systematic review and meta-analysis in Bangladesh from 2000 to 2022’’, JAC Antimicrob. Resist, 5(3). dlad059. June 2023.

has been cited by the following article:

Article

Prevalence, invA Gene Detection and Antimicrobial Resistance Profiles of Salmonella spp. Isolated from Milk, Beef and Chicken Meat

1Department of Biochemistry and Molecular Biology, Gono Bishwabidyalay, Savar, Dhaka-1344, Bangladesh

2Department of Pathology, Gonoshasthaya Samaj Vittik Medical College, Savar, Dhaka-1344, Bangladesh

3Department of Microbiology and Hygiene, Bangladesh Agricultural University, Mymensingh-2202, Bangladesh

4Faculty of Animal Science and Veterinary Medicine, Patuakhali Science and Technology University, Patuakhali-8602, Bangladesh

5Faculty of Veterinary Medicine, Jashore University of Science and Technology, Jashore-7408, Bangladesh

6Department of Microbiology, Gono Bishwabidyalay, Savar, Dhaka-1344, Bangladesh

7Department of Paraclinical Courses, Gono Bishwabidyalay, Savar, Dhaka-1344, Bangladesh

8Probe International Clinical Research Pvt Ltd, Dhaka-1207, Bangladesh

9Department of Biotechnology & Genetic Engineering, Islamic University, Kushtia-7003, Bangladesh

100Department of Clinical Courses, Gono Bishwabidyalay, Savar, Dhaka-1344, Bangladesh

111Department of Pharmacy, University of Asia Pacific, Dhaka-1215, Bangladesh


American Journal of Microbiological Research. 2025, Vol. 13 No. 5, 109-116
DOI: 10.12691/ajmr-13-5-2
Copyright © 2025 Science and Education Publishing

Cite this paper:
Shyam Sundar Shaha, Shamima Nasrin Shadia, Md. Tajul Islam, Shuvo Biswas, Shawon Chandra Sill, Biswas Subrahmonium Shuvo, Md. Rezaul Alam, Mst. Nasrin Banu, Sabuj Biswas, Partha Pratim Ghosh, Taslima Akter, Md. Mosharraf Hossen, Md. Al Nasir, Himangsu Sarker. Prevalence, invA Gene Detection and Antimicrobial Resistance Profiles of Salmonella spp. Isolated from Milk, Beef and Chicken Meat. American Journal of Microbiological Research. 2025; 13(5):109-116. doi: 10.12691/ajmr-13-5-2.

Correspondence to: Himangsu  Sarker, 0Department of Clinical Courses, Gono Bishwabidyalay, Savar, Dhaka-1344, Bangladesh. Email: himangsusarker96@gmail.com

Abstract

Salmonella is a major foodborne pathogen found in various environmental sources, with the rise of antibiotic resistance posing a growing public health concern. This study isolate, identify, and characterize Salmonella spp. from milk, beef, and chicken meat to determine antibiotic resistance patterns and assess public health implications. A total of 120 samples were collected from different markets of Savar and Gazipur Sadar of Bangladesh. Presumptive identification of Salmonella isolates was performed by culturing on selective media, Gram’s staining and confirmed by polymerase chain reaction (PCR) targeting the genus-specific primer of invA. Bivariate analysis to assess the strong and significant correlations between the pairs of any of two antibiotic-resistant Salmonella spp. On the basis of cultural characteristics, the overall occurrence of Salmonella spp. was 20% in milk, 10% in beef and 25% in chicken meat. Furthermore, amplification of invA gene revealed the occurrence as 63.63%. Among then 62.5% in milk, 75% in beef and 60% in chicken meat, respectively. The antimicrobial resistance pattern was determined by disc diffusion method. Among the antibiotics used in this study highest level of sensitivity were shown in streptomycin 100%, imipenem 100% and meropenem 80% in milk samples whereas highly resistance obtained to oxytetracycline 66.66% in beef and 83.33% in chicken meat. Notably, 20%, 33.33% and 16.66% isolates of milk, beef, and chicken meat, respectively were multidrug-resistant. Salmonella contamination in raw milk, beef and chicken poses a public health risk in the study area. Proper hygiene measures, awareness among sellers and judicious control use of antibiotic at the farm level are crucial to reducing contamination and antibiotic resistance.

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