{"title":"Profile and antimicrobial susceptibility patterns of bacteria isolated from effluents of Kolladiba and Debark hospitals","authors":"Tamene Milkessa Jiru, Ewunetu Ayanaw","doi":"10.1515/biol-2022-0960","DOIUrl":null,"url":null,"abstract":"This study aimed to investigate the presence of antibiotic susceptibility patterns and bacterial profiles of some multi-drug-resistant bacteria isolated from the effluents of Kolladiba and Debark Hospitals. Sixteen samples were collected from Kolladiba and Debark Hospitals in North Gondar, Ethiopia, to investigate the presence of multi-drug-resistant bacteria. To assess susceptibility patterns, well-isolated bacterial colonies were subjected to seven antibiotics. The selected resistant isolates were characterized using morphological and biochemical tests. Plasmid DNA analysis of the isolates was also performed. Out of a total of 28 bacterial isolates, 12 were found to be multi-drug resistant. Among the tested antibiotics, erythromycin was the most resistant antibiotic, while novobiocin was the most effective antibiotic. A plasmid profile study of the isolates revealed both the presence and absence of plasmids. The number of plasmids ranged from zero to four, with plasmid sizes of 100, 900, 1,000, 1,400, 1,500, and 1,800 base pairs. This study concluded that effluents from both hospitals have high number of multi-drug-resistant isolates. The genes responsible for multi-drug resistance in bacterial isolates under this study could be either plasmid-mediated or chromosomal DNA-mediated. The presence of multi-drug-resistant bacteria in these effluents should not be overlooked.","PeriodicalId":19605,"journal":{"name":"Open Life Sciences","volume":"40 1","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Open Life Sciences","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1515/biol-2022-0960","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
This study aimed to investigate the presence of antibiotic susceptibility patterns and bacterial profiles of some multi-drug-resistant bacteria isolated from the effluents of Kolladiba and Debark Hospitals. Sixteen samples were collected from Kolladiba and Debark Hospitals in North Gondar, Ethiopia, to investigate the presence of multi-drug-resistant bacteria. To assess susceptibility patterns, well-isolated bacterial colonies were subjected to seven antibiotics. The selected resistant isolates were characterized using morphological and biochemical tests. Plasmid DNA analysis of the isolates was also performed. Out of a total of 28 bacterial isolates, 12 were found to be multi-drug resistant. Among the tested antibiotics, erythromycin was the most resistant antibiotic, while novobiocin was the most effective antibiotic. A plasmid profile study of the isolates revealed both the presence and absence of plasmids. The number of plasmids ranged from zero to four, with plasmid sizes of 100, 900, 1,000, 1,400, 1,500, and 1,800 base pairs. This study concluded that effluents from both hospitals have high number of multi-drug-resistant isolates. The genes responsible for multi-drug resistance in bacterial isolates under this study could be either plasmid-mediated or chromosomal DNA-mediated. The presence of multi-drug-resistant bacteria in these effluents should not be overlooked.
期刊介绍:
Open Life Sciences (previously Central European Journal of Biology) is a fast growing peer-reviewed journal, devoted to scholarly research in all areas of life sciences, such as molecular biology, plant science, biotechnology, cell biology, biochemistry, biophysics, microbiology and virology, ecology, differentiation and development, genetics and many others. Open Life Sciences assures top quality of published data through critical peer review and editorial involvement throughout the whole publication process. Thanks to the Open Access model of publishing, it also offers unrestricted access to published articles for all users.