Abstract

Pseudomonas aeruginosa is one of the leading causes of hospital-acquired infections. To decipher the metabolic mechanisms associated with virulence and antibiotic resistance, we have developed an updated genome-scale model (GEM) of P. aeruginosa. The model (iSD1509) is an extensively curated, three-compartment, and mass-and-charge balanced BiGG model containing 1509 genes, the largest gene content for any P. aeruginosa GEM to date. It is the most accurate with prediction accuracies as high as 92.4% (gene essentiality) and 93.5% (substrate utilization). In iSD1509, we newly added a recently discovered pathway for ubiquinone-9 biosynthesis which is required for anaerobic growth. We used a modified iSD1509 to demonstrate the role of virulence factor (phenazines) in the pathogen survival within biofilm/oxygen-limited condition. Further, the model can mechanistically explain the overproduction of a drug susceptibility biomarker in the P. aeruginosa mutants. Finally, we use iSD1509 to demonstrate the drug potentiation by metabolite supplementation, and elucidate the mechanisms behind the phenotype, which agree with experimental results.

An updated genome-scale model of Pseudomonas aeruginosa explains the metabolic pathways leading to drug resistance and provides a computational platform to design experiments targeting P. aeruginosa metabolism.

Details

Title
Genome-scale model of Pseudomonas aeruginosa metabolism unveils virulence and drug potentiation
Author
Dahal, Sanjeev 1 ; Renz, Alina 2   VIAFID ORCID Logo  ; Dräger, Andreas 2   VIAFID ORCID Logo  ; Yang, Laurence 1   VIAFID ORCID Logo 

 Queen’s University, Department of Chemical Engineering, Kingston, Canada (GRID:grid.410356.5) (ISNI:0000 0004 1936 8331) 
 University of Tübingen, Department of Computer Science, Tübingen, Germany (GRID:grid.10392.39) (ISNI:0000 0001 2190 1447); University of Tübingen, Computational Systems Biology of Infection and Antimicrobial-Resistant Pathogens, Institute for Bioinformatics and Medical Informatics (IBMI), Tübingen, Germany (GRID:grid.10392.39) (ISNI:0000 0001 2190 1447) 
Pages
165
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
23993642
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2775153307
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.