Project description:To gain insights into the mechanisms by which RC301 compensates for the deficiency in the NPR-1 controlled immune and behavioral responses of strain DA650, we determine the whole-genome expression profile of these two strains upon exposure to Pseudomonas aeruginosa strain PA14
Project description:ErfA is a transcription factor of Pseudomonas aeruginosa. We here define the genome-wide binding sites of ErfA by DAP-seq in Pseudomonas aeruginosa PAO1 and IHMA87, Pseudomonas chlororaphis PA23, Pseudomonas protegens CHA0 and Pseudomonas putida KT2440.
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:Determination of the binding sites of 55 transcription factors (all response regulators) in Pseudomonas aeruginosa strains PAO1, PA14 and IHMA87.
Project description:The transcriptome of two different Pseudomonas aeruginosa mutant strains were compared to the Pseudomonas aeruginosa wild type strain in the stationary growth phase
Project description:The aim of this experiment was to determine if the development of resistance to antibiotics can be driven by the concentration and speciation of Cu. Experimental setup was designed to investigate two hypotheses for which two strains of Gram- bacteria have been selected: - Do TE enhance AR in resistant bacteria? Resistant strain: Bioluminescent Pseudomonas aeruginosa PAO1 (Xen41, Tetracycline resistant) - Do TE induce AR in sensitive bacteria? Sensitive strain: Pseudomonas aeruginosa PAO1 (Wild Type)
Project description:Oberhardt2008 - Genome-scale metabolic
network of Pseudomonas aeruginosa (iMO1056)
This model is described in the article:
Genome-scale metabolic
network analysis of the opportunistic pathogen Pseudomonas
aeruginosa PAO1.
Oberhardt MA, Puchałka J, Fryer
KE, Martins dos Santos VA, Papin JA.
J. Bacteriol. 2008 Apr; 190(8):
2790-2803
Abstract:
Pseudomonas aeruginosa is a major life-threatening
opportunistic pathogen that commonly infects immunocompromised
patients. This bacterium owes its success as a pathogen largely
to its metabolic versatility and flexibility. A thorough
understanding of P. aeruginosa's metabolism is thus pivotal for
the design of effective intervention strategies. Here we aim to
provide, through systems analysis, a basis for the
characterization of the genome-scale properties of this
pathogen's versatile metabolic network. To this end, we
reconstructed a genome-scale metabolic network of Pseudomonas
aeruginosa PAO1. This reconstruction accounts for 1,056 genes
(19% of the genome), 1,030 proteins, and 883 reactions. Flux
balance analysis was used to identify key features of P.
aeruginosa metabolism, such as growth yield, under defined
conditions and with defined knowledge gaps within the network.
BIOLOG substrate oxidation data were used in model expansion,
and a genome-scale transposon knockout set was compared against
in silico knockout predictions to validate the model.
Ultimately, this genome-scale model provides a basic modeling
framework with which to explore the metabolism of P. aeruginosa
in the context of its environmental and genetic constraints,
thereby contributing to a more thorough understanding of the
genotype-phenotype relationships in this resourceful and
dangerous pathogen.
This model is hosted on
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and identified by:
MODEL1507180020.
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To the extent possible under law, all copyright and related or
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Project description:ParA and ParB homologs are involved in accurate chromosome segregation in bacteria. ParBs participate in proper folding and initial separation of ori domains by binding to specific parS sites (palindromic centromere-like sequences), mainly localized close to oriC. Bioinformatic analyses identified 10 parS sequences in the Pseudomonas aeruginosa PAO1 genome. One parS from the parS1-parS4 cluster is required for ParB mediated chromosome segregation. To verify the binding of ParB to all known parSs in vivo as well as to identify additional ParB binding sites we performed chromation immunoprecipitation (ChIP) using polyclonal anti-ParB antibodies followed by high throughput sequencing. ChIP was performed with P. aeruginosa PAO1161 (WT) cells, PAO1161 pKB9 (ParB+++) cells with a slight, non-toxic ParB overproduction as well as with 3 strains containing parS modifications impairing ParB binding to these sites. The data confirmed ParB binding to all known parS sequences with the exception of parS5. Moreover, we identified more than a 1000 of new ParB-bound regions, majority of which contained a DNA motif corresponding to inner 7 nt from one arm of the parS palindrome. ParB interactions with these numerous sites could affect chromosome topology, compaction and gene expression classifying P. aeruginosa ParB as a Nucleoid Associated Protein (NAP).
