尼日利亚Ondo州Ilara-Mokin井水中肠道细菌的发生、理化性质和抗生素耐药性

Funmilayo Olanike Alajo, F. Akinyosoye
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引用次数: 0

摘要

目的:研究井水分离肠道细菌的发生、耐药模式及其理化特征。采用基于聚合酶链反应(PCR)的鉴定方法对井水分离菌进行分子分析。研究设计:实验设计。方法:抽取地下水水源(井)共12口井,分三次采集,取平均值。第一批样品采集于2020年1月和2月的旱季。第二批样本是在2020年7月的雨季采集的。采用最大可能数(MPN)法检测大肠菌群和其他肠道细菌。采用聚合酶链反应(PCR)技术对分离菌株进行鉴定和鉴定。采用Kirby Bauer盘扩散技术进行抗生素敏感性试验。井水样品的物理化学性质的测定是按照惯例进行的。结果:井水7号样品在旱季细菌数最多,为250个/100ml,雨季细菌数为200个/100ml,井水4、井水10、井水11号样品在旱季细菌数为14个/100ml,井水2号样品在旱季细菌数为140个/100ml,雨季细菌数为250个/100ml,井水11号样品在雨季细菌数为7个/100ml。经分子鉴定为肺炎克雷伯菌亚种的革兰氏阴性菌为肺炎克雷伯菌、大肠埃希菌、伤寒沙门氏菌和痢疾志贺氏菌。肺炎菌HS11286,大肠杆菌0157:H7,肠沙门氏菌亚种。井水样品中鼠伤寒血清型肠杆菌和痢疾志贺氏菌HNCMB 20080的检出率分别为97.19%、87.44%、80.45%和96.19%。肺炎克雷伯菌对增菌素的耐药率较高,旱季67%,雨季100%。旱季抗性8.3%,雨季抗性75%。大肠杆菌在旱季和雨季的抗性分别为67%和58%。水的硬度在旱季和雨季的平均值最高,分别为98.5和99.5 mg/L,浊度和碱度的平均值最低,分别为1.2 (NTU)和0.62 mg/L、1.4 (NTU)和0.7mg/L。结论:研究结果提供了井水水质较差的信息,可为地下水水源保护机构制定地下水处理策略和政策提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Occurrence, Physicochemical Properties and Antibiotic Resistance Patterns of Enteric Bacteria Isolated from Well Water in Ilara-Mokin, Ondo State, Nigeria
Aims: TheoCcurrence and antibiotic resistance patterns of enteric bacteria isolated from well water sources and their physicochemical profile was ascertained in this study. Molecular analysis of the bacterial isolates from well water samples was conducted via polymerase chain reaction (PCR)-based identification. Study Design: Experimental design. Methodology: A total of 12 wells were collected in triplicates from groundwater sources (wells), and mean values were obtained. The first batch of samples were collected during the dry season in January and February, 2020. The second batch of samples were collected during the rainy season in July 2020. The detection of coliforms and other enteric bacteria were conducted via the most probable number (MPN) method. Polymerase chain reaction (PCR)-based identification and characterization of bacterial isolates were employed. Antibiotic susceptibility test was done using the Kirby Bauer disc diffusion technique. The determination of the physicochemical properties of the well water samples were conducted following customary protocol. Results: Well water sample 7 had the highest count at 250 bacterial counts/100ml in the dry season and 200 bacterial counts/100ml in the rainy season, while well water sample 4, 10, and 11 had 14 bacterial counts/100ml in dry season, well water sample 2 had 140 bacterial counts/100ml in the dry season and 250 bacterial counts/100ml in the rainy season, whilst sample 11 had 7 bacterial counts/100ml in the rainy season. Klebsiella pnuemoniae, Escherichia coli, Salmonella typhi and Shigella dysentariae were the Gram-negative organisms enumerated and molecularly-identified as Klebsiella pnuemoniae subsp. Pnuemoniae HS11286, Escherichia coli 0157:H7, Salmonella enterica subsp. Enterica serovar typhimurium and Shigella dysentariae HNCMB 20080 from the well water samples with percentage identity of 97.19%, 87.44%, 80.45% and 96.19% respectively. Klebsiella pnuemoniae showed high resistant rate in augmentin at 67% in dry season and 100% in the rainy season. Shigella dysentariae showed 8.3% resistance to augmentin in the dry season and 75% in the rainy season. E. coli showed 67% and 58% resistance in the dry and rainy season respectively. Water hardness had the highest mean of 98.5 and 99.5 mg/L in dry and rainy season respectively while turbidity, and alkalinity had the least mean value at 1.2 (NTU) and 0.62 mg/L, 1.4 (NTU) and 0.7mg/L in both dry and rainy seasons. Conclusion: Findings provided information on the poor quality of the well water, which will be useful in groundwater treatment strategies and policy formulation by appropriate groundwater source protection bodies.
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