Virginia C Gould1, Matthew B Avison. 1. Bristol Centre for Antimicrobial Research and Evaluation, Department of Cellular and Molecular Medicine, School of Medical Sciences, University of Bristol, University Walk, Bristol BS8 1TD, UK.
Abstract
OBJECTIVES: To test whether smeDEF overexpression leads to a predictable multi-drug resistance phenotype in Stenotrophomonas maltophilia and to measure the frequency with which smeDEF overexpression occurs in clinical isolates and in spontaneous drug-resistant mutants. METHODS: Overexpression of smeDEF was induced in clinical isolates by the introduction of chromosomal mutations in smeT using a gene-replacement approach. Spontaneous drug-resistant mutants were selected using greater than MIC concentrations of various antimicrobial agents. Levels of smeE and smeF mRNAs were quantified using RT-PCR; MICs were determined using Etest. RESULTS: Of 20 spontaneous S. maltophilia drug-resistant mutants tested, four overexpressed smeDEF, but only two carried mutations within smeT. Of 30 clinical isolates tested, 6 significantly overexpressed smeDEF. One of these had an IS1246-like element embedded within the putative SmeT binding site in the smeDEF promoter. All smeDEF overexpressing derivatives of an isolate had the same resistance profile; derivatives that did not overexpress smeDEF did not share this resistance profile. However, no consistent phenotype could be associated with smeDEF overexpression in S. maltophilia isolates per se. CONCLUSIONS: SmeT is not the only gene product that affects smeDEF expression. IS element insertion is a viable mechanism by which smeDEF expression can be derepressed. There is evidence for a background-specific, predictable effect on resistance profile when smeDEF is overexpressed, but the variability of backgrounds encountered means no general SmeDEF-mediated phenotype can be defined. There is strong evidence for the existence of as yet unidentified multi-drug efflux pumps in this species.
OBJECTIVES: To test whether smeDEF overexpression leads to a predictable multi-drug resistance phenotype in Stenotrophomonas maltophilia and to measure the frequency with which smeDEF overexpression occurs in clinical isolates and in spontaneous drug-resistant mutants. METHODS: Overexpression of smeDEF was induced in clinical isolates by the introduction of chromosomal mutations in smeT using a gene-replacement approach. Spontaneous drug-resistant mutants were selected using greater than MIC concentrations of various antimicrobial agents. Levels of smeE and smeF mRNAs were quantified using RT-PCR; MICs were determined using Etest. RESULTS: Of 20 spontaneous S. maltophilia drug-resistant mutants tested, four overexpressed smeDEF, but only two carried mutations within smeT. Of 30 clinical isolates tested, 6 significantly overexpressed smeDEF. One of these had an IS1246-like element embedded within the putative SmeT binding site in the smeDEF promoter. All smeDEF overexpressing derivatives of an isolate had the same resistance profile; derivatives that did not overexpress smeDEF did not share this resistance profile. However, no consistent phenotype could be associated with smeDEF overexpression in S. maltophilia isolates per se. CONCLUSIONS: SmeT is not the only gene product that affects smeDEF expression. IS element insertion is a viable mechanism by which smeDEF expression can be derepressed. There is evidence for a background-specific, predictable effect on resistance profile when smeDEF is overexpressed, but the variability of backgrounds encountered means no general SmeDEF-mediated phenotype can be defined. There is strong evidence for the existence of as yet unidentified multi-drug efflux pumps in this species.
Authors: Karina Calvopiña; Klaus-Daniel Umland; Anna M Rydzik; Philip Hinchliffe; Jürgen Brem; James Spencer; Christopher J Schofield; Matthew B Avison Journal: Antimicrob Agents Chemother Date: 2016-06-20 Impact factor: 5.191
Authors: María Carmen Turrientes; María Rosario Baquero; María Blanca Sánchez; Sylvia Valdezate; Esther Escudero; Gabrielle Berg; Rafael Cantón; Fernando Baquero; Juan Carlos Galán; José Luis Martínez Journal: Appl Environ Microbiol Date: 2010-01-22 Impact factor: 4.792