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Open Access Research article

Predictive analysis of transmissible quinolone resistance indicates Stenotrophomonas maltophilia as a potential source of a novel family of Qnr determinants

María B Sánchez1, Alvaro Hernández1, José M Rodríguez-Martínez2, Luis Martínez-Martínez34 and José L Martínez1*

Author Affiliations

1 Departamento de Biotecnología Microbiana, Centro Nacional de Biotecnología, CSIC, Darwin 3, Cantoblanco, 28049-Madrid, and CIBERESP. Spain

2 Departamento de Microbiología, Universidad de Sevilla, Av. Sanchez Pizjuan SN 41009-Sevilla, Spain

3 Service of Microbiology, University Hospital Marqués de Valdecilla, Santander, Spain

4 Department of Molecular Biology, University of Cantabria, Santander, Spain

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BMC Microbiology 2008, 8:148  doi:10.1186/1471-2180-8-148

Published: 16 September 2008

Abstract

Background

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.

Results

We have found a number of novel potential qnr genes in the chromosomes of aquatic bacteria and in metagenomes from marine organisms. Functional studies of the Stenotrophomonas maltophilia Smqnr gene show that plasmid-encoded SmQnr confers quinolone resistance upon its expression in a heterologous host.

Conclusion

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 S. maltophilia as a source of novel Qnr determinants.