1. Detection of Potential Bacterial Pathogens and Aflatoxigenic Fungi from Grain Samples
- Author
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Md. Salauddin, Hinda Abdukadir Mohamed, Farzana Afroz, and Md. Khaled Hossain
- Subjects
Klebsiella ,Aspergillus ,Veterinary medicine ,Salmonella ,lcsh:S ,aflatoxin ,food and beverages ,Kanamycin ,General Medicine ,Biology ,food hygiene ,biology.organism_classification ,medicine.disease_cause ,lcsh:S1-972 ,lcsh:Agriculture ,Ciprofloxacin ,Penicillin ,antibiogram ,Antibiotic resistance ,antibiotic resistant ,grain samples ,medicine ,lcsh:Agriculture (General) ,Bacteria ,medicine.drug - Abstract
Current research work was carried out for the detection of potential bacterial pathogen and aflatoxigenic fungi Aspergillus spp. from grain comprising [Rice (5), Maize (5), Wheat (5), Khessari dal (5) and Anchora dal (5)] were collected from 3 different local markets of Dinajpur District, Bangladesh. 15 bacterial isolates comprising 4 genera of bacteria were found from a total of 25 samples. The isolated bacteria were Staphylococcus spp., Escherichia coli, Klebsiella spp., Salmonella spp. with 16%, 28%, 16% and 16% prevalence respectively. Antibiogram studies revealed that overall effective drugs against isolated bacteria were Ciprofloxacin followed by Gentamycin. But resistant drugs were Penicillin, Vancomycin, Erythromycin, Kanamycin, and Amoxicillin. The variation in the sensitivity of common antibiotic could be the result of extensive and indiscriminate use of these antibiotics. Aspergillus spp. was isolated from 4-grain samples with 16% prevalence. But aflatoxigenic Aspergillus spp. was isolated from 3 samples with 12% prevalence. From the wheat samples and maize, the aflatoxigenic fungus was isolated and their prevalence in maize, wheat was 40% and 20% respectively. Their early detection can help to take preventive measures to combat economic and health losses. The study showed that earlier detections can be made by simple traditional identifications using macro and micromorphological fungal features rather than adopting the time and cost consuming molecular identification techniques.
- Published
- 2019
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