Functional verification of computationally predicted qnr genes
Artikel i vetenskaplig tidskrift, 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.

qnr

E. coli

assembled qnr 1

Functional verification

Recombinant expression

Vfuqnr

Författare

Carl-Fredrik Flach

Göteborgs universitet

Fredrik Boulund

Chalmers, Matematiska vetenskaper, matematisk statistik

Göteborgs universitet

Erik Kristiansson

Göteborgs universitet

Chalmers, Matematiska vetenskaper, matematisk statistik

D. G. Joakim Larsson

Göteborgs universitet

Annals of Clinical Microbiology and Antimicrobials

1476-0711 (ISSN)

Vol. 12 artikel nr 34- 34

Ämneskategorier

Annan biologi

Mikrobiologi inom det medicinska området

Annan naturvetenskap

Styrkeområden

Livsvetenskaper och teknik

DOI

10.1186/1476-0711-12-34