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Attree, I.

Publications and source records attributed to Attree, I..

2 recordsLinked to original sources

Insertion sequences drive the emergence of a highly adapted human pathogen

Taxonomic outliers of Pseudomonas aeruginosa of environmental origin have recently emerged as infectious for humans. Here we present the first genome-wide analysis of an isolate that caused fatal hemorrhagic pneumonia. We demonstrate that, in two sequential clones, CLJ1 and CLJ3, recovered from a patient with chronic pulmonary disease, insertion of a mobile genetic element into the P. aeruginosa chromosome affected major virulence-associated phenotypes and led to increased resistance to antibiotics used to treat the patient. Comparative proteome and transcriptome analyses revealed that this insertion sequence, ISL3, disrupted genes encoding flagellar components, type IV pili, O-specific antigens, translesion polymerase and enzymes producing hydrogen cyanide. CLJ3 possessed seven fold more IS insertions than CLJ1, some modifying its susceptibility to antibiotics by disrupting the genes for the outer-membrane porin OprD and the regulator of {beta}-lactamase expression AmpD. In the Galleria mellonella larvae model, the two strains displayed different levels of virulence, with CLJ1 being highly pathogenic. This work reveals ISs as major players in enhancing the pathogenic potential of a P. aeruginosa taxonomic outlier by modulating both, the virulence and the resistance to antimicrobials, and explains the ability of this bacterium to adapt from the environment to a human host.

microbiology

CLIQ-BID: A method to quantify bacteria-induced damage to eukaryotic cells by automated live-imaging of bright nuclei

Pathogenic bacteria induce eukaryotic cell damage which range from discrete modifications of signalling pathways, to morphological alterations and even to cell death. Accurate quantitative detection of these events is necessary for studying host-pathogen interactions and for developing strategies to protect host organisms from bacterial infections. Investigation of morphological changes is cumbersome and not adapted to high-throughput and kinetics measurements. Here, we describe a simple and cost-effective method based on automated analysis of live cells with stained nuclei, which allows real-time quantification of bacteria-induced eukaryotic cell damage at single-cell resolution. We demonstrate that this automated high-throughput microscopy approach permits screening of libraries composed of interference-RNA, bacterial strains, antibodies and chemical compounds in ex vivo infection settings. The use of fluorescently-labelled bacteria enables the concomitant detection of changes in bacterial growth. Using this method named CLIQ-BID (Cell Live Imaging Quantification of Bacteria Induced Damage), we were able to distinguish the virulence profiles of different pathogenic bacterial species and clinical strains.

microbiology