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Functional verification of computationally predicted qnr genes

Carl-Fredrik Flach ; Fredrik Boulund (Institutionen för matematiska vetenskaper, matematisk statistik) ; Erik Kristiansson (Institutionen för matematiska vetenskaper, matematisk statistik) ; D. G. Joakim Larsson
Annals of Clinical Microbiology and Antimicrobials (1476-0711). Vol. 12 (2013), p. artikel nr 34.
[Artikel, refereegranskad vetenskaplig]

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.

Nyckelord: qnr, Vfuqnr, assembled qnr 1, Functional verification, Recombinant expression, E. coli



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Denna post skapades 2013-11-21. Senast ändrad 2014-12-09.
CPL Pubid: 187185

 

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Institutioner (Chalmers)

Institutionen för biomedicin, avdelningen för infektionssjukdomar (GU)
Institutionen för matematiska vetenskaper, matematisk statistik (2005-2016)

Ämnesområden

Livsvetenskaper
Funktionsgenomik
Annan naturvetenskap
Mikrobiologi inom det medicinska området

Chalmers infrastruktur

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