Project description:Pseudomonas aeruginosa is an opportunistic pathogen which causes acute and chronic infections that are difficult to treat. Comparative genomic analysis has showed a great genome diversity among P. aeruginosa clinical strains and revealed important regulatory traits during chronic adaptation. While current investigation of epigenetics of P. aeruginosa is still lacking, understanding the epigenetic regulation may provide biomarkers for diagnosis and reveal important regulatory mechanisms. The present study focused on characterization of DNA methyltransferases (MTases) in a chronically adapted P. aeruginosa clinical strain TBCF10839. Single-molecule real-time sequencing (SMRT-seq) was used to characterize the methylome of TBCF. RCCANNNNNNNTGAR and TRGANNNNNNTGC were identified as target motifs of DNA MTases, M.PaeTBCFI and M.PaeTBCFII, respectively.
Project description:Pseudomonas aeruginosa is a predominant pathogen in chronic lung infections in individuals with cystic fibrosis (CF). Epidemic strains of P. aeruginosa, such as the Liverpool Epidemic Strain (LES), are capable of transferring between CF patients and have been associated with increased hospital visits and antibiotic treatments. We used label-free quantitative proteomics to compare the laboratory strain PAO1, beta-lactam resistant isolate LESB58, and beta-lactam susceptible isolate LESlike1 and their responses to three beta-lactams (aztreonam, carbenicillin, piperacillin), the aminoglycoside tobramycin, and hydrogen peroxide. Across all samples, we identified 3019 proteins with a minimum of two peptides. We found that LESB58 showed a large response to treatment with the beta-lactam carbenicillin, with 644 proteins significantly increased in abundance and 590 proteins significantly decreased in abundance (Students t-test, p≤0.05, FDR=0.05, S0=1). Proteomic characterization of an additional beta-lactam resistant isolate, LES431, exposed to carbenicillin showed that this response was shared by both isolates. Part of the response to carbenicillin in LESB58 included an increase in abundance in proteins involved in cell wall synthesis and division.
Project description:Purpose : The goal of this study was to use RNA Seq to explore the correlation of gene expression of a collection of clinical P. aeruginosa isolates to various phenotypes, such as antimicrobial resistance, biofilm formation or virulence Methods : mRNA profiles were generated for Pseudomonas aerugionsa clinical samples derived from various geographical locations by deep sequencing. The removal of ribosomal RNA was performed using the Ribo-Zero Bacteria Kit (Illumina) and cDNA libraries were generated with the ScriptSeq v2 Kit (Illumina) . The samples were sequenced in single end mode on an Illumina HiSeq 2500 device and mRNA reads were trimmed and mapped to the NC_008463.1 (PA14) reference genome from NCBI using Stampy pipeline with defaut settings.
Project description:Purpose: Pseudomonas aeruginosa is a major cause of morbidity and mortality in patients with cystic fibrosis (CF). We provide an insight to the DNA auxotrophy of P. aeruginosa PASS4 isolate. Better understanding of P. aeruginosa adaptations in the CF lung environment can have a great impact in the development of specialised treatment regimes aimed at the eradications of P. aeruginosa infections. Methods: P. aeruginosa strains PAO1 and PASS4 were grown in minimal medium with either L-Asparagine or DNA as a carbon source, in biological triplicates. RNA was extracted and sequenced on Illumina HiSeq 1000 platform. The sequence reads that passed quality filters were analyzed using EdgePro and DESeq packages, as well as the Rockhopper tool. Results: We mapped > 10 million paired sequence reads per sample to the genome of P. aeruginosa PAO1 and identified a total of 576 genes differentially expressed by PASS4 when grown in DNA (P value < 0.01, log2 fold-change 1< to < -1), with 322 genes upregulated and 254 genes downregulated. There were a total of 423 genes differentially expressed by PAO1 when grown in DNA (P value < 0.01, log2 fold-change 1< to <-1), with 359 genes upregulated and 64 genes downregulated . A total of 129 transcripts displayed similar expression patterns in both organisms, with 112 being upregulated and 17 down-regulated. Conclusions: Our study identified that P. aeruginosa PASS4 was a purine auxotroph. Purine auxotropy may represent a viable microbial strategy for adaptation to DNA rich environments such as the CF lung.
Project description:Purpose : The goal of this study was to use RNA Seq to define the regulon of the transciption factor Anr by comparing global transcriptional profiles of Pseudomonas aeruginosa strain PAO1 and a clinical isolate with their isogenic ?anr mutants, grown in colony biofilms at 1% oxygen. Methods : mRNA profiles were generated for laboratory strain PAO1 and for a clinical isolate J215, as well as for ?anr derivatives of each strain, in duplicate, by deep sequencing. Strains were grown for 12 hours in colony biofilms at 1% O2, 5% CO2 prior to RNA harvest. Ribosomal and transfer RNAs were removed using the MICROBExpress kit (Life Technologies). mRNA reads were trimmed and mapped to the PAO1 NC_002516 reference genome from NCBI using the ClC Genomics Workbench platform and defaut parameters. mRNA profiles of 12 hour colony biofilms were generated for P. aeruginosa strains PAO1 WT, PAO1 ?anr, clinical isolate J215, and J215 ?anr, each in duplicate, by deep sequencing using Illumina HiSeq.
Project description:Taxonomic outliers of Pseudomonas aeruginosa recently emerged as infectious for humans. Here we present the first analysis of a hyper-virulent isolate that cause hemorrhagic pneumonia. We demonstrated that, in two sequential clones CLJ1 and CLJ3 recovered from a patient with chronic obstructive pulmonary disease undergoing antibiotic therapy, 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. Our work reveals insertion sequences as major players in enhancing the pathogenic potential of a P. aeruginosa taxonomic outlier by modulating both the virulence and resistance to antimicrobials. This also explains the ability of this bacterium to adapt to an infected host and cause a serious disease.
Project description:Untargeted metabolomics analysis of in vitro headspace volatiles from 81 Pseudomonas aeruginosa bacterial isolates from individuals with cystic fibrosis. Headspace volatiles were collected using solid-phase microextraction (SPME) (in triplicate) and comprehensive two-dimensional gas chromatography and time-of-flight mass spectrometry (GCxGC-TOFMS). 15 replicates of un-inoculated media were prepared and analyzed in parallel, for a total of 258 samples.
Project description:Purpose : The goal of this study was to use RNA Seq to define the regulon of the transciption factor Anr by comparing global transcriptional profiles of Pseudomonas aeruginosa strain PAO1 and a clinical isolate with their isogenic ∆anr mutants, grown in colony biofilms at 1% oxygen. Methods : mRNA profiles were generated for laboratory strain PAO1 and for a clinical isolate J215, as well as for ∆anr derivatives of each strain, in duplicate, by deep sequencing. Strains were grown for 12 hours in colony biofilms at 1% O2, 5% CO2 prior to RNA harvest. Ribosomal and transfer RNAs were removed using the MICROBExpress kit (Life Technologies). mRNA reads were trimmed and mapped to the PAO1 NC_002516 reference genome from NCBI using the ClC Genomics Workbench platform and defaut parameters.
Project description:Purpose : The goal of this study was to use RNA-seq to compare transcriptional profiles under biofilm conditions with planktonic growth and explore the correlation of gene expression of a collection of clinical P. aeruginosa isolates to various phenotypes, such as biofilm structure or virulence. Methods : mRNA profiles were generated for Pseudomonas aeruginosa clinical samples derived from various geographical locations by deep sequencing. The removal of ribosomal RNA was performed using the Ribo-Zero Bacteria Kit (Illumina) and cDNA libraries were generated with the ScriptSeq v2 Kit (Illumina). The samples were sequenced in single end mode on an Illumina HiSeq 2500 device or paired end mode on an Illumina Novaseq 6000. mRNA reads were trimmed and mapped to the NC_008463.1 (PA14) reference genome from NCBI using bowtie2 with default settings.