ArticleCell systems2019
Integrated Experimental and Computational Analyses Reveal Differential Metabolic Functionality in Antibiotic-Resistant Pseudomonas aeruginosa.
Article in Cell systems, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- ISEmerging microbes & infections · 2026Article
- Environmental formermSystems · 2026Article
- Metabolomics-driven prediction of antibiotic resistance: a perspective on pre-genetic intervention.npj antimicrobials and resistance · 2025Review
- Niche-specific metabolic phenotypes can be used to identify antimicrobial targets in pathogens.PLoS biology · 2024Article
- Understanding Antimicrobial Resistance Using Genome-Scale Metabolic Modeling.Antibiotics (Basel, Switzerland) · 2023Review
- Disrupting the ArcA Regulatory Network Amplifies the Fitness Cost of Tetracycline Resistance in Escherichia coli.mSystems · 2023Article
- Genome-scale model of Pseudomonas aeruginosa metabolism unveils virulence and drug potentiation.Communications biology · 2023Article
- Evolution of Habitat-Dependent Antibiotic Resistance in Pseudomonas aeruginosa.Microbiology spectrum · 2022Article
- Systematic identification of molecular mediators of interspecies sensing in a community of two frequently coinfecting bacterial pathogens.PLoS biology · 2022Article
- Genome-scale metabolic modeling in antimicrobial pharmacology.Engineering microbiology · 2022Review
- Expanding the search for small-molecule antibacterials by multidimensional profiling.Nature chemical biology · 2022Review
- An updated genome-scale metabolic network reconstruction of Pseudomonas aeruginosa PA14 to characterize mucin-driven shifts in bacterial metabolism.NPJ systems biology and applications · 2021Article
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- Metabolic fitness landscapes predict the evolution of antibiotic resistance.Nature ecology & evolution · 2021Article
- Using ecological coexistence theory to understand antibiotic resistance and microbial competition.Nature ecology & evolution · 2021Review
- Plant-Based Phytochemicals as Possible Alternative to Antibiotics in Combating Bacterial Drug Resistance.Antibiotics (Basel, Switzerland) · 2020Review
- Understanding the metabolism of the tetralin degrader Sphingopyxis granuli strain TFA through genome-scale metabolic modelling.Scientific reports · 2020Article
- Transcriptome-guided parsimonious flux analysis improves predictions with metabolic networks in complex environments.PLoS computational biology · 2020Article
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Abstract
Metabolic adaptations accompanying the development of antibiotic resistance in bacteria remain poorly understood. To study this relationship, we profiled the growth of lab-evolved antibiotic-resistant lineages of the opportunistic pathogen Pseudomonas aeruginosa across 190 unique carbon sources. Our data revealed that the evolution of antibiotic resistance resulted in systems-level changes to growth dynamics and metabolic phenotype. A genome-scale metabolic network reconstruction of P. aeruginosa was paired with whole-genome sequencing data to predict genes contributing to observed changes in metabolism. We experimentally validated computational predictions to identify mutations in resistant P. aeruginosa affecting loss of catabolic function. Finally, we found a shared metabolic phenotype between lab-evolved P. aeruginosa and clinical isolates with similar mutational landscapes. Our results build upon previous knowledge of antibiotic-induced metabolic adaptation and provide a framework for the identification of metabolic limitations in antibiotic-resistant pathogens.
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