{"title":"首次从孟加拉国奶牛场废水中分离出的细菌的分子特征和抗生素谱。","authors":"Md Shamsul Islam, Md Arif-Uz-Zaman Polash, Md Hakimul Haque","doi":"10.1155/vmi/7253393","DOIUrl":null,"url":null,"abstract":"<p><p>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 <i>Pseudomonas aeruginosa</i> (35%), <i>Escherichia coli</i> (30%), <i>Bacillus subtilis</i> (16.67%), and <i>Acinetobacter junii</i> (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: <i>P. aeruginosa</i> exhibited the highest resistance to penicillin (85.71%) and amoxicillin (76.19%), while demonstrating greater sensitivity to ciprofloxacin and cotrimoxazole<i>. E. coli</i> showed notable resistance to penicillin (88.89%), amoxicillin, and ceftriaxone, while <i>B. subtilis</i> and <i>A. junii</i> 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 <i>penA</i>, <i>bla</i> <sub><i>TEM</i></sub> , <i>bla</i> <sub><i>CTX</i>-<i>M</i></sub> , <i>tetA</i>, <i>tetB</i>, <i>tetC</i>, and <i>ermB</i> were detected across the bacterial species, with high prevalence rates in <i>P. aeruginosa</i> and <i>A. junii</i>, 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.</p>","PeriodicalId":23503,"journal":{"name":"Veterinary Medicine International","volume":"2025 ","pages":"7253393"},"PeriodicalIF":1.9000,"publicationDate":"2025-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12127123/pdf/","citationCount":"0","resultStr":"{\"title\":\"First Molecular Characterization and Antibiogram of Bacteria Isolated From Dairy Farm Wastewater in Bangladesh.\",\"authors\":\"Md Shamsul Islam, Md Arif-Uz-Zaman Polash, Md Hakimul Haque\",\"doi\":\"10.1155/vmi/7253393\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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 <i>Pseudomonas aeruginosa</i> (35%), <i>Escherichia coli</i> (30%), <i>Bacillus subtilis</i> (16.67%), and <i>Acinetobacter junii</i> (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: <i>P. aeruginosa</i> exhibited the highest resistance to penicillin (85.71%) and amoxicillin (76.19%), while demonstrating greater sensitivity to ciprofloxacin and cotrimoxazole<i>. E. coli</i> showed notable resistance to penicillin (88.89%), amoxicillin, and ceftriaxone, while <i>B. subtilis</i> and <i>A. junii</i> 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 <i>penA</i>, <i>bla</i> <sub><i>TEM</i></sub> , <i>bla</i> <sub><i>CTX</i>-<i>M</i></sub> , <i>tetA</i>, <i>tetB</i>, <i>tetC</i>, and <i>ermB</i> were detected across the bacterial species, with high prevalence rates in <i>P. aeruginosa</i> and <i>A. junii</i>, 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.</p>\",\"PeriodicalId\":23503,\"journal\":{\"name\":\"Veterinary Medicine International\",\"volume\":\"2025 \",\"pages\":\"7253393\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2025-05-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12127123/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Veterinary Medicine International\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1155/vmi/7253393\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"VETERINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Veterinary Medicine International","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1155/vmi/7253393","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"VETERINARY SCIENCES","Score":null,"Total":0}
First Molecular Characterization and Antibiogram of Bacteria Isolated From Dairy Farm Wastewater in Bangladesh.
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 Pseudomonas aeruginosa (35%), Escherichia coli (30%), Bacillus subtilis (16.67%), and Acinetobacter junii (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: P. aeruginosa exhibited the highest resistance to penicillin (85.71%) and amoxicillin (76.19%), while demonstrating greater sensitivity to ciprofloxacin and cotrimoxazole. E. coli showed notable resistance to penicillin (88.89%), amoxicillin, and ceftriaxone, while B. subtilis and A. junii 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 penA, blaTEM , blaCTX-M , tetA, tetB, tetC, and ermB were detected across the bacterial species, with high prevalence rates in P. aeruginosa and A. junii, 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.
期刊介绍:
Veterinary Medicine International is a peer-reviewed, Open Access journal that publishes original research articles and review articles in all areas of veterinary research. The journal will consider articles on the biological basis of disease, as well as diagnosis, prevention, treatment, and epidemiology.