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Objective: The study is aimed to understand the antibacterial sensitivity of native and Indian varieties of garlic (Allium sativum) and ginger (Zingiber officinale) crude extracts against multidrug-resistant (MDR) poultry pathogen (Escherichia coli and Salmonella sp.). Materials and Methods: Thin layer chromatography (TLC) is used to identify the target spices' bioactive antibacterial compounds. MDR E. coli and Salmonella sp. were isolated from poultry. The TLC-Bioautography technique was applied to explore the antibacterial potentiality of garlic and ginger. Results: Inhibitory activities of garlic were Zone of inhibition (ZI) = 14.03 ± 0.15 mm and 19.70 ± 0.36 mm, Minimum inhibitory concentration (MIC): 0.625 and 0.325 mg/ml, and ginger were ZI = 14.63 ± 0.30 mm and 11.56 ± 0.51mm, MIC: 9.0 mg/ml against E. coli and Salmonella sp., respectively. Two bands of garlic (Rf value = 0.31 and 0.50) and one band of ginger (Rf value = 0.71) showed inhibitory potential in TLC-Bioautography against both MDR isolates. Conclusion: Garlic and ginger were effective against MDR E. coli and Salmonella sp. These spices could be a suitable alternative during the antibiotic void.
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This study announces the sequence of a multidrug-resistant Escherichia coli MAHK_SCM_BAU_30A strain isolated from bovine subclinical mastitis milk in 2022 in Bangladesh. Our assembled genome had a length of 4,884,948 bp, three plasmids, two CRISPR arrays, five prophages, 51 predicted antibiotic resistance, and 72 predicted virulence factor genes.
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Background and Aim: Bovine subclinical mastitis (SCM) is highly prevalent among dairy cattle. A cross-sectional study was conducted in Bangladesh to evaluate the performance of electric conductivity (EC) and total dissolved solids (TDS) tests for the detection of SCM. Materials and Methods: We randomly selected 108 milk samples from cows of different breeds in the primary milk-producing region of Pabna and Sirajgonj districts of Bangladesh. Samples were subjected to the California mastitis test (CMT), white side test (WST), electric conductivity (EC), TDS, and culture. A cow was considered positive for SCM if it tested positive in CMT, WST, and culture, whereas a cow was considered negative for SCM if it tested negative in all three methods. These gold standards have been used to evaluate the performance of the EC and TDS tests. The optimal EC and TDS cutoff values for the detection of SCM were determined using the "optimal cutoff" function in R version 4.3.1. Results: The optimal EC cutoff value for SCM detection was found to be 6159 µS/cm or 6.16 mS/cm. A positive likelihood ratio (LR+) of 31.2 and an area under the curve (AUC) of 0.905 were obtained for this cutoff value. The optimal cutoff value for TDS was 3100 mg/L of milk, which resulted in a positive LR+ of 45.5 and an AUC of 0.924. Conclusion: To the best of our knowledge, this is the first study to evaluate the performance of EC and TDS tests in detecting SCM in Bangladesh. These results suggest that EC and TDS tests, which are inexpensive, rapid, and easy to conduct, can effectively detect SCM at the farm level.
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BACKGROUND AND AIM: Indiscriminate and injudicious use of antibiotics in layer farms is a common practice of Bangladesh for the compensation of Poor management practices and ignorance. Despite this scenario, there is no published documentation on antibiotic usage pattern and farm management practices in layer farms. This study was undertaken to understand the farmers' perspective in small-scale layer farms regarding antibiotics usage and farm management. MATERIALS AND METHODS: A questionnaire survey was conducted in 120 small-scale layer farms of Mymensingh district during January-February 2017. We only considered farms in production. Data were analyzed on antibiotic usage, purpose, egg management, understanding of antibiotic residue, withdrawal period, and other issues. RESULTS: Among 120 farmers, about 94.16% of farmers are using antibiotics without respecting the withdrawal period. Only 39.1% of farmers possess knowledge of residues. In our surveyed farms, 91.83% of farmers are not practicing egg washing before supplying to the market and 52.67% of farmers are unaware of cleaning and disinfection of egg tray. Ten different types of antibiotics of seven classes have found in the survey. Most antibiotics are in the Watch (49%) and Reserve (8%) groups according to the WHO AWaRe categorization and 73% antibiotics are critically important for human medicine and are considered as last resort. CONCLUSION: This study found that due to the lack of knowledge and poor management, farmers consider using antibiotics as the most effective practices to control disease and enhancement of egg production. These indiscriminate uses of antibiotics are responsible for antibiotic residual and resistance problem. Here, we also provide some suggestion and guidelines to improve management practices to minimize the emerging problems of antimicrobial resistance through small-scale layer farms.