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: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:To further determine the origin of the increased virulence of Pseudomonas aeruginosa PA14 compared to Pseudomonas aeruginosa PAO1, we report a transcriptomic approach through RNA sequencing. Next-generation sequencing (NGS) has revolutioned sistems-based analsis of transcriptomic pathways. The goals of this study are to compare the transcriptomic profile of all 5263 orthologous genes of these nearly two strains of Pseudomonas aeruginosa.
Project description:Chromosome segregation in Pseudomonas aeruginosa is assisted by the tripartite ParAB-parS system, composed of an ATPase (ParA), a DNA-binding protein (ParB), and its target parS sequence(s). ParB forms a nucleoprotein complex around four parSs (parS1-parS4), which is positioned within the cell by ParA. Remarkably, ParB of P. aeruginosa binds to multiple heptanucleotides (half-parSs) scattered in the genome. In this work we analysed the transcriptome of P. aeruginosa with mutated 25 half-parSs forming the strongest ParB ChIP-seq peaks. Inactivation of ParB binding to even a small fraction of these sites modulated the gene expression, however this effect is most likely indirect. Overall this work suggests complex relation between ParB binding to genome and P. aeruginosa transcriptome.
Project description:Analysis of Pseudomonas aeruginosa PAO1 treated with 200 µM sphingomyelin. Results provide insight into the response to sphingomyelin in P. aeruginosa.
Project description:We report RNA sequencing data for mRNA transcripts obtained from tobramycin exposed phoenix colonies, VBNCs, and various controls (untreated lawn, edge of the zone of clearance of tobramycin, treated outer background lawn). Extracted mRNA was sequenced using an Illumina HiSeq 4000, mapped to a Pseudomonas aeruginosa PAO1 reference genome, and processed to obtain counts for all gene transcripts for each sample. This is the first sequencing data generated for Pseudomonas aeruginosa phoenix colonies and VBNCs.