Research Article
Prevalence and antibiotic resistance profile of Salmonella from livestock and poultry raw meat, Nepal
2 Faculty of Animal Sciences, Veterinary & Fisheries; Agriculture & Forestry University of Rampur, Chitwan, Nepal
3 Department of Medicine & Surgery, Chittagong Veterinary & Animal Sciences University, Bangladesh
4 Department of Microbiology & Veterinary Public Health, Chittagong Veterinary & Animal Sciences University, Bangladesh
Author Correspondence author
International Journal of Molecular Veterinary Research, 2016, Vol. 6, No. 1 doi: 10.5376/ijmvr.2016.06.0001
Received: 09 Dec., 2015 Accepted: 21 Jan., 2016 Published: 31 Jan., 2016
Dhakal Laxman Bahadur, Dhakal Ishwari Prasad, Yadav Saroj Kumar, Ahaduzzaman Md., Islam Md. Zohorul, 2016, Prevalence and antibiotic resistance profile of Salmonella from livestock and poultry raw meat, Nepal, International Journal of Molecular Veterinary Research, 6(1): 1-22 (doi: 10.5376/ijmvr.2016.06.0001)
The aim of the study was to investigate possible contamination of market meat by Salmonella, and to determine their antibiotic resistance pattern. A total of 320 samples of chickens (n=80), chevon (n=80), buff (n=80) and pork (n=80) was collected and analyzed for Salmonella spp, and the isolates were subjected to antimicrobial sensitivity testing. Four serotypes of Salmonella (A, B, D and E) were identified from different meat samples, in where, serotype "D" was obtained at a higher level (88.45%) in all the meat samples followed by serotype A, B and E had 3.85% each. Serotype A and B was isolated from pork and E was isolated from chicken meat. A high percentage of Salmonella isolates were resistant to antibiotics, including erythromycin (76.92%), oxytetracycline (73.07%), cotrimoxazole (26.92%), gentamicin (11.54%), chloramphenicol (7.69%) and ceftriaxone (3.84%). The study explores the unwholesomeness of market meat. Presence of multidrug resistant Salmonella serotype in market meat indicates alarming public health concerns, which needs to be studied in larger contexts to identify the source of contamination.
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. Dhakal Laxman Bahadur
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