Department of Infectious Diseases, University of Gothenburg, Gothenburg, Sweden.
Ann Clin Microbiol Antimicrob. 2013 Nov 21;12:34. doi: 10.1186/1476-0711-12-34.
The quinolone resistance (qnr) genes are widely distributed among bacteria. We recently developed and applied probabilistic models to identify tentative novel qnr genes in large public collections of DNA sequence data including fragmented metagenomes.
By using inducible recombinant expressions systems the functionality of four identified qnr candidates were evaluated in Escherichia coli. Expression of several known qnr genes as well as two novel candidates provided fluoroquinolone resistance that increased with elevated inducer concentrations. The two novel, functionally verified qnr genes are termed Vfuqnr and assembled qnr 1. Co-expression of two qnr genes suggested non-synergistic action.
The combination of a computational model and recombinant expression systems provides opportunities to explore and identify novel antibiotic resistance genes in both genomic and metagenomic datasets.
喹诺酮类耐药(qnr)基因广泛分布于细菌中。我们最近开发并应用概率模型,在包括碎片化宏基因组在内的大型公共 DNA 序列数据集,鉴定出暂定的新型 qnr 基因。
通过使用诱导型重组表达系统,在大肠杆菌中评估了四种鉴定出的 qnr 候选基因的功能。几种已知 qnr 基因以及两个新候选基因的表达提供了氟喹诺酮类药物的耐药性,并且随着诱导剂浓度的升高而增加。两个新型、经功能验证的 qnr 基因分别称为 Vfuqnr 和组装的 qnr1。两种 qnr 基因的共表达表明非协同作用。
计算模型和重组表达系统的结合为探索和鉴定基因组和宏基因组数据集中的新型抗生素耐药基因提供了机会。