Project description:The global transcriptional profiles of Pseudomonas aeruginosa phages LUZ19, LUZ24, YuA, PAK_P3, 14-1 and phiKZ was obtained using the long read RNA sequencing technique ONT-cappable-seq. Using this approach we obtained a comprehensive genome-wide map of viral transcription start sites, terminators and transcription units.
Project description:Clinical case studies have reported that the combined use of specific lytic phage(s) and antibiotics reduces the severity of difficult-to-treat Pseudomonas aeruginosa infections in many patients. In vitro methods that attempt to reproduce specific pathophysiological conditions can provide a reliable assessment of the antibacterial effects of phages. Here, we measured bacterial killing kinetics and individual phage replication in different growth phases, including biofilms, elucidating factors influencing the efficacy of two phages against the laboratory strain P. aeruginosa PAO1. While two-phage combination treatment effectively eliminated P. aeruginosa in routine broth and in infected human lung cell cultures, the emergence of phage-resistant variants occurred under both conditions. Phage combination displayed initial inhibition of biofilm dispersal, but sustained control was achieved only with a combination of phages and meropenem. In contrast, surface-attached biofilm exhibited tolerance to phage and/or meropenem, suggesting a spatiotemporal variation in antibacterial effect. Moreover, the phage with the shorter lysis time killed P. aeruginosa more rapidly, selecting a specific nucleotide polymorphism that likely conferred a competitive disadvantage and cross resistance to the second phage of the combination. These findings highlight biofilm developmental phase, inter-phage competition and phage resistance as factors limiting the in vitro efficacy of a phage combination. However, their precise impact on the outcome of phage therapy remains uncertain, necessitating validation through phage efficacy trials in order to establish clearer correlations between laboratory assessments and clinical results.
Project description:The global transcriptional profile of novel T7-like Pseudomonas aeruginosa phage LUZ100 was obtained using the long read RNA sequencing technique ONT-cappable-seq. Using this approach we obtained a comprehensive genome-wide map of viral transcription start sites, terminators and transcription units and gained new insights in the molecular mechanisms of transcriptional regulation of T7-like temperate phages.
Project description:Intrinsic and acquired defenses against bacteriophages, including Restriction/Modification, CRISPR/Cas, and Toxin/Anti-toxin systems have been intensely studied, with profound scientific impacts. However, adaptive defenses against phage infection analogous to adaptive resistance to antimicrobials have yet to be described. To identify such mechanisms, we applied an RNAseq-based, comparative transcriptomics approach in different \textit{Pseudomonas aeruginosa} strains after independent infection by a set of divergent virulent bacteriophages. A common host-mediated adaptive stress response to phages was identified that includes the Pseudomonas Quinolone Signal, through which infected cells inform their neighbors of infection, and what may be a resistance mechanism that functions by reducing infection vigor. With host transcriptional machinery left intact, we also observe phage-mediated differential expression caused by phage-specific stresses and molecular mechanisms. These responses suggest the presence of a conserved Bacterial Adaptive Phage Response mechanism as a novel type of host defense mechanism, and which may explain transient forms of phage persistence.
Project description:Phage therapy is a therapeutic approach to treat multidrug resistant infections that employs lytic bacteriophages (phages) to eliminate bacteria. Despite the abundant evidence for its success as an antimicrobial in Eastern Europe, there is scarce data regarding its effects on the human host. Here, we aimed to understand how lytic phages interact with cells of the airway epithelium, the tissue site that is colonized by bacterial biofilms in numerous chronic respiratory disorders. Using a panel of Pseudomonas aeruginosa phages and human airway epithelial cells derived from a person with cystic fibrosis, we determined that interactions between phages and epithelial cells depend on specific phage properties as well as physiochemical features of the microenvironment. Although poor at internalizing phages, the airway epithelium responds to phage exposure by changing its transcriptional profile and secreting antiviral and proinflammatory cytokines that correlate with specific phage families. Overall, our findings indicate that mammalian responses to phages are heterogenous and could potentially alter the way that respiratory local defenses aid in bacterial clearance during phage therapy. Thus, besides phage receptor specificity in a particular bacterial isolate, the criteria to select lytic phages for therapy should be expanded to include mammalian cell responses.
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
BioModels Database
and identified by:
MODEL1507180020.
To cite BioModels Database, please use:
BioModels Database:
An enhanced, curated and annotated resource for published
quantitative kinetic models.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
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.
2019-12-20 | GSE137648 | GEO
Project description:Isolation and characterization of phages against Dickeya sp.
| PRJNA767319 | ENA
Project description:Isolation and Characterization of Phages against Enterobacter spp
Project description:We previously showed that pre-exposure of the cornea to TLR5 ligand flagellin induces profound mucosal innate protection against pathogenic microbes by reprogramming gene expression. To date, there was no genome-wide cDNA array to detect full scale of flagellin mediated reprogramming of gene expression in mucosal surface epithelial cells. Taking advantage of readily accessible, easily procurable epithelial cell population, this study is the first report to use genome-wide cDNA microarray approach to document genes associated with flagellin-induced protection against Pseudomonas aeruginosa infection in corneal epithelial cells (CECs). Total RNA obtained from isolated mouse corneal epithelial cells of the control (cells scrapped off from the corneas without infection), Pseudomonas aeruginosa infected (6 h post infection) and flagellin pretreated (24 h), followed by Pseudomonas aeruginosa infection (6 h).