Quorum sensing systems and related virulence factors in Pseudomonas aeruginosa isolated from chicken meat and ground beef

BACKGROUNDHealthcare-associated infections due to multidrug-resistant (MDR) bacteria such as Pseudomonas aeruginosa are significant public health issues worldwide. A system biology approach can help understand bacterial behavior and provide novel ways to identify potential therapeutic targets and the development of new drugs. Gene regulatory networks (GRN) are an example of interaction representation in silico between regulatory genes and their targets.OBJECTIVESIn this work, we update the reconstruction of the MDR P. aeruginosa CCBH4851 GRN, and analyze and discuss its structural properties.METHODSWe based this study on the gene orthology inference methodology using the reciprocal best hit method. The P. aeruginosa CCBH4851 genome and GRN, published in 2019, and the P. aeruginosa PAO1 GRN, published in 2020, were used for this update reconstruction process.FINDINGSOur result is a GRN with a larger number of regulatory genes, target genes, and interactions compared to the previous networks, and its structural properties are consistent with the complexity of biological networks and the biological features of P. aeruginosa.MAIN CONCLUSIONSHere, we present the largest and most complete version of P. aeruginosa GRN published to this date, to the best of our knowledge.

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“…It is necessary for coding the transcriptional activator protein (R protein). (134) The lasR and rhlR genes are among the 20 principal hubs.…”

Section: Resultsmentioning

confidence: 99%

“…It is necessary for coding the transcriptional activator protein (R protein). (134) The lasR and rhlR genes are among the 20 principal hubs. The phoP gene has an essential role in MDR P. aeruginosa , being involved in more than one drug-resistant mechanism.…”

Section: Discussionmentioning

confidence: 99%

An Updated Gene Regulatory Network reconstruction of multidrug-resistant Pseudomonas aeruginosa CCBH4851

Chagas

Filho

Santos

et al. 2022

Preprint

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“…It is necessary for coding the transcriptional activator protein (R protein). 133 The lasR and rhlR genes are among the 20 principal hubs. In interactions present only in CCBH-2022, vfr regulates genes associated with virulence and alginate production.…”

Section: Discussionmentioning

confidence: 99%

An updated gene regulatory network reconstruction of multidrug-resistant Pseudomonas aeruginosa CCBH4851

Chagas¹,

Filho²,

Santos³

et al. 2022

Mem. Inst. Oswaldo Cruz

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“…As spoilage bacteria, the Gram-negative Pseudomonas aeruginosa (P. aeruginosa) is a major contributor to the spoilage of aquatic products, meats, and cold ready-to-eat foods [1][2][3]. Simultaneously, P. aeruginosa is also a conditional pathogen and a common agent causing chronic infection in immunocompromised patients [4,5].…”

Section: Introductionmentioning

confidence: 99%

Application of the Luminescent luxCDABE Gene for the Rapid Screening of Antibacterial Substances Targeting Pseudomonas aeruginosa

Peng

Wang

Zhu

et al. 2023

Foods

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Pseudomonas aeruginosa (P. aeruginosa) is a typical Gram-negative bacterium that can cause the spoilage of catered food products. Using a luminescent reporter gene (luxCDABE), this study sought to construct a cell-based biosensor (PAO1-CE) to rapidly screen antibacterial substances against P. aeruginosa. A total of six antibiotics belonging to five categories were used as the model test substances. The results of the bioluminescence detection method were verified using traditional antibacterial research assessments. The correlation coefficient of the regression equation fitting the data generated using this method was greater than 0.98, supporting the credibility of this approach. Additionally, the EC50 of each of the antibiotics assessed in this study was lower than the 1/2 MIC determined by conventional means. All six of the antibiotics caused varying degrees of damage to the cell membrane and cell wall of P. aeruginosa. Importantly, this novel method helped shorten the time necessary for active-compound detection and could be used for high-throughput detection, which would also help improve the detection efficiency. The application of this method towards the discovery of novel antibacterial compounds targeting P. aeruginosa holds substantial promise for greatly improving the efficiency of compound discovery.

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Quorum sensing systems and related virulence factors in Pseudomonas aeruginosa isolated from chicken meat and ground beef

Cited by 17 publications

References 57 publications

An Updated Gene Regulatory Network reconstruction of multidrug-resistant Pseudomonas aeruginosa CCBH4851

An Updated Gene Regulatory Network reconstruction of multidrug-resistant Pseudomonas aeruginosa CCBH4851

An updated gene regulatory network reconstruction of multidrug-resistant Pseudomonas aeruginosa CCBH4851

Application of the Luminescent luxCDABE Gene for the Rapid Screening of Antibacterial Substances Targeting Pseudomonas aeruginosa

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