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Functional verification of computationally predicted qnr genes.

ABSTRACT: 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.

SUBMITTER: Flach CF

PROVIDER: S-EPMC4222258 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature

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Functional verification of computationally predicted qnr genes.

Flach Carl-Fredrik CF Boulund Fredrik F Kristiansson Erik E Larsson Dg Joakim DJ

Annals of clinical microbiology and antimicrobials 20131121

<h4>Background</h4>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.<h4>Findings</h4>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 prov ...[more]

PMID: 24257207

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