鲍曼不动杆菌
粘菌素
阿米卡星
抗生素耐药性
生物
背景(考古学)
碳青霉烯
微生物学
多位点序列分型
琼脂稀释
不动杆菌
抗生素
基因
遗传学
最小抑制浓度
基因型
铜绿假单胞菌
细菌
古生物学
作者
David Olusoga Ogbolu,O. A. Terry Alli,Adeolu Sunday Oluremi,Y Temilola Ogunjimi,D Iyanu Ojebode,Veronica Kayinebi Dada,Olubunmi O Alaka,Ebenezer Foster-Nyarko,Mark A. Webber
标识
DOI:10.1080/23744235.2020.1775881
摘要
Objective: Acinetobacter baumannii infections are rarely diagnosed in many hospitals in Nigeria due to a lack of capacity for the identification of the organism in spite of the clinical significance of this opportunistic nosocomial organism. We assembled a panel of presumptive isolates of A. baumannii from tertiary hospitals in Nigeria and analysed mechanisms of resistance phenotypically and by whole genome sequencing.Materials and methods: Twenty-one clinical isolates of A. baumannii identified using standard microbiological tests were tested for susceptibility to a panel of antibiotics by the agar dilution method, and production of ESBLs using phenotypic tests. Whole genome sequencing and comparative genomic analysis were used to determine the antimicrobial resistance genes, strain types, phylogenetic relationships and genetic context of resistance genes.Results: The MIC50 and MIC90 of most antibiotics were very high with no difference between MIC50 and MIC90 values apart for amikacin, meropenem and colistin where MIC50 and MIC90 ranged between 1–4 µg/ml and 64–>64 µg/ml, respectively. Multiple resistance genes were detected in most of the isolates including blaNDM-1, various blaOXA-51 family alleles and blaOXA-23. Interestingly, blaNDM-1 carriage did not always result in phenotypic carbapenem resistance. Whole genome alignments typing showed strains belonged to three major clades. Strains within these clades had different resistance genes and resistance patterns.Conclusions: This report shows a high level of resistance to important antibiotics and carbapenem resistance in A. baumannii in Nigeria. We hope this work will serve as a reference for future study in the sub-Saharan region of Africa.
科研通智能强力驱动
Strongly Powered by AbleSci AI