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孟加拉国奶牛场废水中分离出细菌的首次分子特征及药敏谱分析

First Molecular Characterization and Antibiogram of Bacteria Isolated From Dairy Farm Wastewater in Bangladesh.

作者信息

Islam Md Shamsul, Polash Md Arif-Uz-Zaman, Haque Md Hakimul

机构信息

Department of Veterinary and Animal Sciences, Faculty of Veterinary and Animal Sciences, Rajshahi University, Rajshahi 6205, Bangladesh.

Biomedical Sciences and Molecular Biology, College of Public Health, Medical and Veterinary Sciences, James Cook University, Townsville 4811, Queensland, Australia.

出版信息

Vet Med Int. 2025 May 25;2025:7253393. doi: 10.1155/vmi/7253393. eCollection 2025.

Abstract

This pioneering study in Bangladesh combines phenotypic and genotypic approaches to characterize antibiotic-resistant bacteria in dairy farm wastewater, addressing a critical gap in regional antimicrobial resistance (AMR) research. Dairy farming is integral to global food production, yet the wastewater generated by these operations is a significant source of environmental and public health concerns, particularly in the context of antibiotic resistance. This study aimed to isolate and identify antibiotic-resistant bacteria from dairy farm wastewater and evaluate their antibiogram profiles to inform effective management strategies. A total of 60 wastewater samples were collected and subjected to conventional bacterial characterization, followed by molecular detection via PCR and 16S rRNA gene sequencing. The study identified (35%), (30%), (16.67%), and (8.33%) as the predominant bacterial species. Sequencing results demonstrated high compatibility with reference sequences, confirming the identities of the isolates. Antibiogram analysis revealed significant resistance patterns: exhibited the highest resistance to penicillin (85.71%) and amoxicillin (76.19%), while demonstrating greater sensitivity to ciprofloxacin and cotrimoxazole showed notable resistance to penicillin (88.89%), amoxicillin, and ceftriaxone, while and also demonstrated high levels of resistance to multiple antibiotics. Notably, a substantial proportion of the isolates exhibited multidrug resistance (MDR), with MAR indices ranging from 0.37 to 0.75. Moreover, several antibiotic resistance genes (ARGs) including , , , , , , and were detected across the bacterial species, with high prevalence rates in and , suggesting the potential for horizontal gene transfer and further spread of resistance. These findings underscore the critical need for a One Health approach to mitigate the risks posed by antibiotic-resistant bacteria in dairy farm wastewater, emphasizing the critical importance of responsible antibiotic use and sustainable farming practices to protect public health and environmental integrity.

摘要

这项在孟加拉国开展的开创性研究结合了表型和基因型方法,以表征奶牛场废水中的抗生素抗性细菌,填补了区域抗微生物药物耐药性(AMR)研究中的一个关键空白。奶牛养殖是全球粮食生产不可或缺的一部分,但这些养殖场产生的废水是环境和公共卫生问题的一个重要来源,尤其是在抗生素耐药性方面。本研究旨在从奶牛场废水中分离和鉴定抗生素抗性细菌,并评估它们的抗菌谱,以为有效的管理策略提供依据。总共收集了60份废水样本,进行常规细菌表征,随后通过PCR和16S rRNA基因测序进行分子检测。该研究确定 (35%)、 (30%)、 (16.67%)和 (8.33%)为主要细菌种类。测序结果显示与参考序列高度匹配,证实了分离株的身份。抗菌谱分析揭示了显著的抗性模式: 对青霉素(85.71%)和阿莫西林(76.19%)的抗性最高,而对环丙沙星和复方新诺明的敏感性更高; 对青霉素(88.89%)、阿莫西林和头孢曲松表现出显著抗性;而 和 也对多种抗生素表现出高水平抗性。值得注意的是,相当一部分分离株表现出多重耐药性(MDR),多重耐药性指数范围为0.37至0.75。此外,在这些细菌种类中检测到了几种抗生素抗性基因(ARGs),包括 、 、 、 、 、 和 ,在 和 的患病率很高,表示存在水平基因转移和抗性进一步传播的可能性。这些发现强调了采取“同一健康”方法来减轻奶牛场废水中抗生素抗性细菌带来风险的迫切需求,并强调了负责任地使用抗生素和可持续养殖做法对于保护公众健康和环境完整性的至关重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a592/12127123/204f436dee70/VMI2025-7253393.001.jpg

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