Functional verification of computationally predicted qnr genes

Annals of Clinical Microbiology and Antimicrobials

Short Report

Carl-Fredrik Flach¹  DG Joakim Larsson¹  Fredrik Boulund²  Erik Kristiansson² 

[1] Department of Infectious Diseases, University of Gothenburg, Gothenburg, Sweden;Department of Mathematical Statistics, Chalmers University of Technology, Gothenburg, Sweden;

关键词: qnr;    qnr;    assembled qnr 1;    Functional verification;    Recombinant expression;    E. coli;   

DOI  :  10.1186/1476-0711-12-34

 received in 2013-09-10, accepted in 2013-11-14,  发布年份 2013

来源: Springer

【 摘 要 】

BackgroundThe 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.FindingsBy 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.ConclusionThe 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.

【 授权许可】

Unknown   
© Flach et al.; licensee BioMed Central Ltd. 2013. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.