ArticleNature communications2017
Reconstruction of the metabolic network of Pseudomonas aeruginosa to interrogate virulence factor synthesis.
Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
80 citing papers in PubMed.
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- Calcium regulation ofApplied and environmental microbiology · 2026Article
- Screening of exogenous nutrients for pathogenic bacteria and development of highly active bactericides.mSystems · 2026Article
- Predicting Strain-Specific Metabolic Capabilities in the GenusComputational and structural biotechnology journal · 2026Article
- Rational Targeting and gRNA Design for Enhancing Quorum Quenching inComputational and structural biotechnology journal · 2026Article
- Reconstruction and application of a genome-scale metabolic model for Streptococcus suis.BMC genomics · 2025Article
- Genome-scale metabolic model-guided systematic framework for designing customized live biotherapeutic products.NPJ systems biology and applications · 2025Review
- Influence of Amino Acids on Quorum Sensing-Related Pathways inMetabolites · 2025Article
- Genetic and virulence factors behind the success of high-riskFrontiers in microbiology · 2025Article
- Pseudomonas aeruginosa faces a fitness trade-off between mucosal colonization and antibiotic tolerance during airway infection.Nature microbiology · 2024Article
- Article
- Malonate is relevant to the lung environment and induces genome-wide stress responses in Pseudomonas aeruginosa.Research square · 2024Article
- Logic programming-based Minimal Cut Sets reveal consortium-level therapeutic targets for chronic wound infections.NPJ systems biology and applications · 2024Article
- Spatial transcriptome-guided multi-scale framework connects P. aeruginosa metabolic states to oxidative stress biofilm microenvironment.PLoS computational biology · 2024Article
- Genome-scale metabolic network model and phenome of solvent-tolerant Pseudomonas putida S12.BMC genomics · 2024Article
- Applications of genome-scale metabolic models to investigate microbial metabolic adaptations in response to genetic or environmental perturbations.Briefings in bioinformatics · 2023Review
- Study of peripheral domains in structure-function of isocitrate lyase (ICL) from Pseudomonas aeruginosa.World journal of microbiology & biotechnology · 2023Article
- Bactabolize is a tool for high-throughput generation of bacterial strain-specific metabolic models.eLife · 2023Article
- The transcriptional regulators of virulence forGenes & diseases · 2023Review
- Understanding Antimicrobial Resistance Using Genome-Scale Metabolic Modeling.Antibiotics (Basel, Switzerland) · 2023Review
20 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Virulence-linked pathways in opportunistic pathogens are putative therapeutic targets that may be associated with less potential for resistance than targets in growth-essential pathways. However, efficacy of virulence-linked targets may be affected by the contribution of virulence-related genes to metabolism. We evaluate the complex interrelationships between growth and virulence-linked pathways using a genome-scale metabolic network reconstruction of Pseudomonas aeruginosa strain PA14 and an updated, expanded reconstruction of P. aeruginosa strain PAO1. The PA14 reconstruction accounts for the activity of 112 virulence-linked genes and virulence factor synthesis pathways that produce 17 unique compounds. We integrate eight published genome-scale mutant screens to validate gene essentiality predictions in rich media, contextualize intra-screen discrepancies and evaluate virulence-linked gene distribution across essentiality datasets. Computational screening further elucidates interconnectivity between inhibition of virulence factor synthesis and growth. Successful validation of selected gene perturbations using PA14 transposon mutants demonstrates the utility of model-driven screening of therapeutic targets.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.