Project description:We performed high-time-resolution (HTR) transcriptome analyses of Pseudomonas aeruginosa PAO1 (PA) in a continuous cultivation system during the transition from high oxygen tension to low oxygen tension (HLOT) and the reversed transition from low to high oxygen tension (LHOT). From those genes responsive to both transient conditions, we identified 85 essential oxygen-availability responsive genes (EORGs), including the expected ones (arcDABC) encoding enzymes for arginine fermentation. We then predicted a highly accurate regulatory network for the EORGs of PA by integrating information from binding motif searching, literature and inverted HTR datasets. These results not only reveal stringent EORGs of PA and their transcription regulatory network, but also highlight that achieving a high accuracy of the inferred regulatory network might be only feasible for the apparently affected regulators under the given conditions but not for all the expressed regulators in a genome scale.
Project description:We carried out an experimental evolution in human serum as an ex-vivo model and screened evolved lines for the evolution of resistance phenotypes towards two anti-virulence treatments, gallium and flucytosine, which both target the iron scavenging pyoverdine of Pseudomonas aeruginosa (each at 2 different doses). We performed whole-genome sequencing of 16 evolved clones from the different treatment regimes .
