2018
DOI: 10.1101/415000
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A multidrug resistant clinical P. aeruginosa isolate in the MLST550 clonal complex: uncoupled quorum sensing modulates the interplay of virulence and resistance

Abstract: 22Pseudomonas aeruginosa is a prevalent and pernicious pathogen equipped with both extraordinary 23 capabilities to infect the host and to develop antimicrobials resistance (AMR). Monitoring the 24 emergence of AMR high risk clones and understanding the interplay of their pathogenicity and 25 antibiotic resistance is of paramount importance to avoid resistance dissemination and to control 26 P. aeruginosa infections. In this study, we report the identification of a multidrug resistant (MDR) 27 P. aeruginosa st… Show more

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Cited by 4 publications
(5 citation statements)
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“…Three multidrug efflux pumps MexAB-OprM, MexEF-OprN, MexGHI-OpmD were found to be hyper-expressed in PA154197 compared to PAO1 [26]. To test their contribution to the MDR phenotype of the strain, we first delete mexB , mexF , and mexH , which encodes the inner membrane channel of the three efflux systems, respectively.…”
Section: Resultsmentioning
confidence: 99%
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“…Three multidrug efflux pumps MexAB-OprM, MexEF-OprN, MexGHI-OpmD were found to be hyper-expressed in PA154197 compared to PAO1 [26]. To test their contribution to the MDR phenotype of the strain, we first delete mexB , mexF , and mexH , which encodes the inner membrane channel of the three efflux systems, respectively.…”
Section: Resultsmentioning
confidence: 99%
“…Analysis of the growth curves of these strains in the absence of antibiotics suggests that the observed MIC alterations are not due to intrinsic disadvantages or defects in growth (S5 Fig). Unexpectedly, deletion of another efflux gene mexH which is also hyper-expressed in PA154197 (~40-fold higher than in PAO1) [26] does not lead to any detectable difference in the MICs of all the antibiotics and antimicrobial agents tested (Fig 2 and S2 Table). Further deletion of mexH in the Δ mexB Δ mexF strain yields no MIC change either (data not shown), suggesting that it does not contribute to the antibiotic resistance in PA154197.…”
Section: Resultsmentioning
confidence: 99%
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“…We believe that the idea of mlDEEPre, combining multi-label learning with deep learning, can be helpful for solving other similar bioinformatics problems. For example, it has the potential to be applied to predict the properties of antibiotic-resistant genes (ARG) in multidrug-resistant pathogens (Zhu et al, 2013; Cao et al, 2018), perform classification of multicomponent transporter system (Saier et al, 2015), and predict CRISPR-Cas9 gene editing off-target regions (Fu et al, 2013; Pattanayak et al, 2013; Lin and Wong, 2018; Zhang et al, 2018).…”
Section: Discussionmentioning
confidence: 99%