Predictive analysis of transmissible quinolone resistance indicates <it>Stenotrophomonas maltophilia </it>as a potential source of a novel family of Qnr determinants
Martínez-Martínez Luis | Rodríguez-Martínez José M | Hernández Alvaro | Sánchez María B | Martínez José L
<p>Abstract</p> <p>Background</p> <p>Predicting antibiotic resistance before it emerges at clinical settings constitutes a novel approach for preventing and fighting resistance of bacterial pathogens. To analyse the possibility that novel plasmid-encoded quinolone resistance determinants (Qnr) can emerge and disseminate among bacterial pathogens, we searched the presence of those elements in nearly 1000 bacterial genomes and metagenomes.</p> <p>Results</p> <p>We have found a number of novel potential <it>qnr </it>genes in the chromosomes of aquatic bacteria and in metagenomes from marine organisms. Functional studies of the <it>Stenotrophomonas maltophilia </it>Sm<it>qnr </it>gene show that plasmid-encoded SmQnr confers quinolone resistance upon its expression in a heterologous host.</p> <p>Conclusion</p> <p>Altogether, the data presented in our work support the notion that predictive studies on antibiotic resistance are feasible, using currently available information on bacterial genomes and with the aid of bioinformatic and functional tools. Our results confirm that aquatic bacteria can be the origin of plasmid-encoded Qnr, and highlight the potential role of <it>S. maltophilia </it>as a source of novel Qnr determinants.</p>
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