Dataset Information

Pseudomonas aeruginosa lasR mutants in young cystic fibrosis patients

ABSTRACT: Pseudomonas aeruginosa undergoes genetic change during chronic infection of the airways of cystic fibrosis (CF) patients. One common change is mutation of lasR. LasR is a transcriptional regulator that responds to one of the quorum sensing signals in P. aeruginosa, and regulates acute virulence factor expression as well as central metabolic functions. P. aeruginosa mutants in which lasR was inactivated emerged in the airways of CF patients early during chronic infection, and during growth in the laboratory on Luria-Bertani agar. Both environments are rich in amino acids. Inactivation of lasR in these isolates conferred a growth advantage with amino acids, a phenotype that could account for selection of lasR mutants both in vivo and in vitro. P. aeruginosa lasR mutants were identified by their distinctive colony morphology, including autolysis that correlated with an imbalance in 4-hydroxy-2-alkylquinolines (HAQs), and an iridescent metallic sheen likely caused by the accumulation of one such HAQ. The alterations in transcriptional profile due to inactivation of lasR were conserved in isolates from multiple young CF patients. P. aeruginosa lasR mutations may represent surrogate markers to delineate stages in the natural history of CF airway disease, each with different prognostic and therapeutic implications, analogous to the markers used to direct cancer treatment. Similar to cancer cell mutations that promote unrestricted growth, lasR mutations may promote unrestricted growth of P. aeruginosa in the CF airway by enabling more efficient utilization of available amino acids. Keywords: disease state analysis

ORGANISM(S): Pseudomonas aeruginosa

PROVIDER: GSE5560 | GEO | 2007/12/22

SECONDARY ACCESSION(S): PRJNA95405

REPOSITORIES: GEO

ACCESS DATA

Similar Datasets

Project description:To provide a more detailed survey of adaptive changes in the physiology of P. aeruginosa (PA) during long-term infection of the cystic fibrosis (CF) lung, we performed a comparative proteome and transcriptome analysis of a set of isogenic sequential non-mutator and mutator isolates from three selected CF patients. Recently, we showed that during CF lung persistence PA mutators converge to a virulence-attenuated phenotype. In this study, we demonstrate that besides virulence-associated traits (VATs) the adaptation process of PA predominantly comprises metabolic pathways. In end-stage mutator strains, transcripts of genes encoding VATs, chemotaxis, degradation of aromatic compounds and several two-component regulatory systems were decreased. In contrast, several transcripts of genes or proteins involved in metabolism of fatty acids, nucleotides, amino acids and the generation of energy were increased. Of particular interest is the increased expression level of genes involved in (i) the anaerobic arginine-deiminase pathway, (ii) the anaerobic respiration such as nitrate-uptake protein OprF, redox-active azurin and cytchrome c551 peroxidase, (iii) the micro-aerobic respiration such as high oxygen-affinity cytochrome oxidase cbb3 (iv) the tricarboxylic acid cycle (TCA), glyoxylate shunt and anaplerotic carboxylation reactions to oxaloacetate. Strikingly, an increased transcription of the anaerobic regulator gene anr correlates with the up-regulation of ANR-dependent genes. In conclusion, these changes in transcriptome and proteome indicate an adaptive shift towards constitutive expression of genes of metabolic pathways obviously required for growth under micro-aerobic and nutritional conditions of suppurative CF lung tissue. Finally, these results provide us with new targets for antimicrobial agents and biomarkers reflecting adaptation of PA towards progressive CF lung disease. Experiment Overall Design: P. aeruginosa isolates recovered from different time points of chronic cystic fibrosis lung disease were cultered in vitro, harvested for RNA extraction and hybridization on Affymetrix microarrays. We compared the transcriptome (triplicate microarrays) of early non-mutator P. aeruginosa isolates with late mutator isolates with high mutation frequency probably the driving force of an efficient adaptation to changing environements to conclude from differences in gene expression to the requirements of CF lung environment. Experiment Overall Design: Second publication of array data to be added later

Dataset Information

Pseudomonas aeruginosa lasR mutants in young cystic fibrosis patients

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure