Jiru Tamene Milkessa, Ayanaw Ewunetu
Department of Environmental and Industrial Biotechnology, Institute of Biotechnology, University of Gondar, P.O. Box: 196, Gondar, Ethiopia.
Department of Biotechnology, Institute of Biotechnology, University of Gondar, P.O. Box: 196, Gondar, Ethiopia.
Open Life Sci. 2024 Sep 11;19(1):20220960. doi: 10.1515/biol-2022-0960. eCollection 2024.
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.
本研究旨在调查从科拉迪巴医院和德巴克医院污水中分离出的一些多重耐药菌的抗生素敏感性模式和细菌谱。从埃塞俄比亚北贡德尔的科拉迪巴医院和德巴克医院采集了16份样本，以调查多重耐药菌的存在情况。为评估敏感性模式，对分离良好的细菌菌落进行了七种抗生素的测试。使用形态学和生化试验对选定的耐药菌株进行了鉴定。还对分离株进行了质粒DNA分析。在总共28株细菌分离物中，发现12株具有多重耐药性。在测试的抗生素中，红霉素是耐药性最强的抗生素，而新生霉素是最有效的抗生素。对分离株的质粒图谱研究揭示了质粒的存在和缺失情况。质粒数量从零到四个不等，质粒大小为100、900、1000、1400、1500和1800碱基对。本研究得出结论，两家医院的污水中都有大量多重耐药分离株。本研究中细菌分离株中负责多重耐药性的基因可能是质粒介导的，也可能是染色体DNA介导的。这些污水中多重耐药菌的存在不容忽视。
