Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Role of quorum sensing of Hafnia alvei H4 in co-culture with Pseudomonas fluorescens ATCC13525 analyzed by biological and transcriptomic

ABSTRACT: transcriptomics was used to explore the regulation mechanism of QS in dual-species spoilage at mRNA molecular level.

ORGANISM(S): Pseudomonas fluorescens Hafnia alvei

PROVIDER: GSE245811 | GEO | 2024/01/31

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Influence of the pqs genes on Pseudomonas quorum sensing

Project description:The opportunistic pathogen Pseudomonas aeruginosa has complex quorum sensing (QS) circuitry, which involves two acylhomoserine lactone (AHL) systems, the LasI AHL synthase and LasR AHL-dependent transcriptional activator system and the RhlI AHL synthase-RhlR AHL-responsive transcriptional activator. There is also a quinoline signaling system (the Pseudomonas quinolone signal, PQS, system). Although there is a core set of genes regulated by the AHL circuits, there is substantial strain-to-strain variation in the non-core QS regulated genes. Reductive evolution of the QS regulon, and variation in specific genes activated by QS occurs in laboratory evolution experiments with the model strain PAO1. We used a transcriptomics approach to test the hypothesis that reductive evolution in the PAO1 QS regulon can in large part be explained by a simple null mutation in pqsR, the gene encoding the transcriptional activator of the pqs operon. We found that PqsR had very little influence on the AHL QS regulon. This was a surprising finding because the last gene in the PqsR-dependent pqs operon, pqsE, codes for a protein, which physically interacts with RhlR and this interaction is required for full RhlR-dependent activation of some genes. We used comparative transcriptomics to examine the influence of a pqsE mutation on the QS regulon and identified only three transcripts, which were strictly dependent on PqsE. By using reporter constructs we showed that the PqsE influence on other genes was dependent on experimental conditions and we have gained some insight about those conditions. This work adds to our understanding of the plasticity of the P. aeruginosa QS regulon and to the role PqsE plays in RhlR-dependent gene activation.

2024-03-17 | GSE261453 | GEO

ChIP-seq analyses of 10 quorum sensing regulators in Pseudomonas aeruginosa

Project description:The Pseudomonas aeruginosa quorum-sensing (QS) systems contribute to bacterial homeostasis and pathogenicity. Although many regulators have been characterized to control the production of virulence factors and QS signaling molecules, its detailed regulatory mechanisms still remain elusive. Here, we performed chromatin immunoprecipitation followed by high-throughput DNA sequencing (ChIP-seq) on 10 key QS regulators. The direct regulation of these genes by corresponding regulator has been confirmed by Electrophoretic mobility shift assays (EMSAs) and quantitative real-time polymerase chain reactions (qRT-PCR). Binding motifs are found by using MEME suite and verified by footprint assays in vitro. Collectively, this work provides new cues to better understand the detailed regulatory networks of QS systems. ChIP-seq of 10 QS regulators in Pseudomonas aeruginosa

2015-08-04 | E-GEOD-65356 | biostudies-arrayexpress

Evolution of the quorum sensing regulon in cooperating populations of Pseudomonas aeruginosa

Project description:We used the AHL-degrading enzyme AiiA-lactonase to interrogate the evolution of the LasR-dependent QS regulon of P. aeruginosa in conditions where QS is required to obtain carbon and energy, and show that populations of P. aeruginosa adaptively reduced the size of their QS regulon over ~1000 generations.

2021-06-09 | GSE176411 | GEO

ChIP-seq analyses of 10 quorum sensing regulators in Pseudomonas aeruginosa

2015-08-04 | GSE65356 | GEO

Quorum sensing system-regulated protein affect the spoilage potential of co-culturing Acinetobacter johnsonii and Pseudomonas fluorescens from spoilage bigeye tuna (Thunnus obesus)

Project description:Quorum sensing system-regulated protein affect the spoilage potential of co-culturing Acinetobacter johnsonii and Pseudomonas fluorescens from spoilage bigeye tuna (Thunnus obesus) by proteomics

2020-04-18 | PXD018646 |

Lack of AHL-based quorum sensing in Pseudomonas fluorescens isolated from milk.

Project description:Numerous bacteria coordinate gene expression in response to small signalling molecules in many cases known as acylhomoserine lactones (AHLs), which accumulate as a function of cell density in a process known as quorum sensing. This work aimed to determine if phenotypes that are important to define microbial activity in foods such as biofilm formation, swarming motility and proteolytic activity of two Pseudomonas fluorescens strains, isolated from refrigerated raw milk, are influenced by AHL molecules. The tested P. fluorescens strains did not produce AHL molecules in none of the evaluated media. We found that biofilm formation was dependent on the culture media, but it was not influenced by AHLs. Our results indicate that biofilm formation, swarming motility and proteolytic activity of the tested P. fluorescens strains are not regulated by acyl-homoserine lactones. It is likely that AHL-dependent quorum sensing system is absent from these strains.

| S-EPMC4204945 | biostudies-literature

Additive Effects of Quorum Sensing Anti-activators on Pseudomonas aeruginosa Virulence Traits and Transcriptome

Project description:RNA-seq of the previously uncharacterized QslA and QteE regulons revealed overlapping, yet distinct groups of differentially expressed genes. Simultaneous inactivation of qteE and qslA had the largest effect on gene expression with 999 genes induced and 798 genes repressed in the double mutant vs. wild-type. We found that LasR and RhlR-activated QS genes formed a subset of the genes induced in the qteE, qslA, and double mutant. The activation of almost all of these QS genes was advanced from stationary phase to log phase in the qteE qslA double mutant.

2017-12-06 | GSE107758 | GEO

Transcriptome Reveals Regulation of Quorum Sensing of Hafnia alvei H4 on the Coculture System of Hafnia alvei H4 and Pseudomonas fluorescens ATCC13525.

Project description:In the food industry, foodborne spoilage bacteria often live in mixed species and attach to each other, leading to changes in spoilage characteristics. Quorum sensing (QS) has been reported to be a regulating mechanism for food spoiling by certain kinds of bacteria. Here, the contents of biofilm, extracellular polysaccharides, and biogenic amines in the coculture system of Hafnia alvei H4 and Pseudomonas fluorescens ATCC13525 were significantly reduced when the QS element of H. alvei H4 was deleted, confirming that QS of H. alvei H4 is involved in the dual-species interactions. Then, transcriptomics was used to explore the regulatory mechanism at the mRNA molecular level. The deletion of the QS element decreased the transcript levels of genes related to chemotaxis, flagellar assembly, and the two-component system pathway of H. alvei H4 in the coculture system. Furthermore, a total of 732 DEGs of P. fluorescens ATCC13525 were regulated in the dual species, which were primarily concerned with biofilm formation, ATP-binding cassette transporters, and amino acid metabolism. Taken together, the absence of the QS element of H. alvei H4 weakened the mutual cooperation of the two bacteria in the coculture system, making it a good target for managing infection with H. alvei and P. fluorescens.

| S-EPMC10815324 | biostudies-literature

Role of quorum sensing of Hafnia alvei H4 in co-culture with Pseudomonas fluorescens ATCC13525 analyzed by biological and transcriptomic

Project description:Role of quorum sensing of Hafnia alvei H4 in co-culture with Pseudomonas fluorescens ATCC13525 analyzed by biological and transcriptomic

| PRJNA1030010 | ENA

Strain-specific quorum-sensing responses determine virulence properties in Vibrio anguillarum

Project description:Here, we define the VanT-QS regulon and explore the diversity and trajectory of traits under QS regulation in the fish pathogen Vibrio anguillarum through comparative transcriptomics of two wildtype strains and their corresponding mutants artificially locked in QS-on (ΔvanO) or QS-off (ΔvanT) states. We reveal that populations of one strain primarily employ a QS-off response, while the other strain mainly maneuvers within the QS-on spectrum. Further examination of our V. anguillarum collection revealed that ~15 % of the strains were QS-negative and measurements of a total of 9 QS-positive strains suggested diverse QS responses, which underlines an extensive diversity of QS delegations. We show that QS control a plethora of genes involved in processes such as central metabolism, biofilm, competence, T6SS and virulence in V. anguillarum. Interestingly, the low QS response strain had an enlarged QS regulon compared to the high QS response strain, suggesting a potential trade-off between engagement in QS and output of the commitment. Moreover, the combination of present and previous virulence trials coupled with QS response measurements indicate that the QS state is an important driver of virulence toward fish larvae in V. anguillarum. We propose that infections by mixed-strain communities spanning diverse QS strategies might utilize the animal host more efficiently. Furthermore, we emphasize the importance of applying whole-cell spike-in normalization to study gene expression of cell populations with differential total RNA content per cell.

2024-09-02 | GSE184853 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data