Functional verification of computationally predicted qnr genes
Journal article, 2013

Background 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. Findings: 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. Conclusion 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.


E. coli

assembled qnr 1

Functional verification

Recombinant expression



Carl-Fredrik Flach

University of Gothenburg

Fredrik Boulund

Chalmers, Mathematical Sciences, Mathematical Statistics

University of Gothenburg

Erik Kristiansson

University of Gothenburg

Chalmers, Mathematical Sciences, Mathematical Statistics

D. G. Joakim Larsson

University of Gothenburg

Annals of Clinical Microbiology and Antimicrobials

1476-0711 (ISSN)

Vol. 12 1 artikel nr 34- 34

Subject Categories

Other Biological Topics

Microbiology in the medical area

Other Natural Sciences

Areas of Advance

Life Science Engineering (2010-2018)



More information