Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

The P. aeruginosa PA14 transcriptome recorded under 14 different experimental conditions

ABSTRACT: We analyzed the transcriptional profile of P.aeruginosa PA14 grown under 14 different environmental conditions. These included conditions of growth within biofilms, at various temperatures, osmolarities and phosphate concentrations, under anaerobic conditions, attached to a surface and conditions encountered within the eukaryotic host. We found that >30% of the PA14 genome was differentially regulated at least under one of the 14 environmental conditions (referred to as the adaptive transcriptome). Most of the genes were also differentially regulated upon sigma factor hyper expression and/or inactivation (GEO accession number GSE54999) and many of those belonged to primary alternative sigma factor regulons. The samples of P. aeruginosa PA14 wild type strain were cultivated under 14 different experimental conditions and were analyzed by RNA-seq. For each condition, at least two biological replicates were generated Please note that PA14 is our standard lab strain used for all generated data in this records. There is no mutation introduced for any of those experiments, and thus, the descriptions only highlight the growth conditions.

ORGANISM(S): Pseudomonas aeruginosa

SUBMITTER: Denitsa Eckweiler

PROVIDER: E-GEOD-55197 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Similar Datasets

Project description:We compared the dynamics and mechanisms of resistance development to ceftazidime, meropenem, ciprofloxacin, and ceftolozane-tazobactam in wild-type (PAO1) and mutator (PAOMS, M-bM-^HM-^FmutS) P. aeruginosa. The strains were incubated for 24 h with 0.5 to 64M-CM-^W MICs of each antibiotic in triplicate experiments. The tubes from the highest antibiotic concentration showing growth were reinoculated in fresh medium containing concentrations up to 64M-CM-^W MIC for 7 consecutive days. The susceptibility profiles and resistance mechanisms were assessed in two isolated colonies from each step, antibiotic, and strain. Ceftolozane-tazobactam-resistant mutants were further characterized by whole-genome analysis through RNA sequencing (RNA-seq). The development of high-level resistance was fastest for ceftazidime, followed by meropenem and ciprofloxacin. None of the mutants selected with these antibiotics showed cross-resistance to ceftolozane-tazobactam. On the other hand, ceftolozane-tazobactam resistance development was much slower, and high-level resistance was observed for the mutator strain only. PAO1 derivatives that were moderately resistant (MICs, 4 to 8 ug/ml) to ceftolozane-tazobactam showed only 2 to 4 mutations, which determined global pleiotropic effects associated with a severe fitness cost. High-level-resistant (MICs, 32 to 128 ug/ml) PAOMS derivatives showed 45 to 53 mutations. Major changes in the global gene expression profiles were detected in all mutants, but only PAOMS mutants showed ampC overexpression, which was caused by dacB or ampR mutations. Moreover, all PAOMS mutants contained 1 to 4 mutations in the conserved residues of AmpC (F147L, Q157R, G183D, E247K, or V356I). Complementation studies revealed that these mutations greatly increased ceftolozane-tazobactam and ceftazidime MICs but reduced those of piperacillin-tazobactam and imipenem, compared to those in wild-type ampC. Therefore, the development of high-level resistance to ceftolozane-tazobactam appears to occur efficiently only in a P. aeruginosa mutator background, in which multiple mutations lead to overexpression and structural modifications of AmpC. Mutants of Pseudomonas aeroginosa PAO1 and PAO1 M-bM-^HM-^FmutS against Ceftolozane-tazobactam were generated and analysed using RNA-Seq

Dataset Information

The P. aeruginosa PA14 transcriptome recorded under 14 different experimental conditions

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure