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dc.contributor.authorOberhardt, Matthew A
dc.contributor.authorPuchałka, Jacek
dc.contributor.authorFryer, Kimberly E
dc.contributor.authorMartins dos Santos, Vítor A P
dc.contributor.authorPapin, Jason A
dc.date.accessioned2009-02-02T15:11:37Z
dc.date.available2009-02-02T15:11:37Z
dc.date.issued2008-04
dc.identifier.citationGenome-scale metabolic network analysis of the opportunistic pathogen Pseudomonas aeruginosa PAO1. 2008, 190 (8):2790-803 J. Bacteriol.en
dc.identifier.issn1098-5530
dc.identifier.pmid18192387
dc.identifier.doi10.1128/JB.01583-07
dc.identifier.urihttp://hdl.handle.net/10033/48335
dc.description.abstractPseudomonas aeruginosa is a major life-threatening opportunistic pathogen that commonly infects immunocompromised patients. This bacterium owes its success as a pathogen largely to its metabolic versatility and flexibility. A thorough understanding of P. aeruginosa's metabolism is thus pivotal for the design of effective intervention strategies. Here we aim to provide, through systems analysis, a basis for the characterization of the genome-scale properties of this pathogen's versatile metabolic network. To this end, we reconstructed a genome-scale metabolic network of Pseudomonas aeruginosa PAO1. This reconstruction accounts for 1,056 genes (19% of the genome), 1,030 proteins, and 883 reactions. Flux balance analysis was used to identify key features of P. aeruginosa metabolism, such as growth yield, under defined conditions and with defined knowledge gaps within the network. BIOLOG substrate oxidation data were used in model expansion, and a genome-scale transposon knockout set was compared against in silico knockout predictions to validate the model. Ultimately, this genome-scale model provides a basic modeling framework with which to explore the metabolism of P. aeruginosa in the context of its environmental and genetic constraints, thereby contributing to a more thorough understanding of the genotype-phenotype relationships in this resourceful and dangerous pathogen.
dc.language.isoenen
dc.subject.meshBacterial Proteinsen
dc.subject.meshComputational Biologyen
dc.subject.meshComputer Simulationen
dc.subject.meshGenes, Bacterialen
dc.subject.meshGenome, Bacterialen
dc.subject.meshHumansen
dc.subject.meshMetabolic Networks and Pathwaysen
dc.subject.meshPseudomonas aeruginosaen
dc.titleGenome-scale metabolic network analysis of the opportunistic pathogen Pseudomonas aeruginosa PAO1.en
dc.typeArticleen
dc.contributor.departmentDepartment of Biomedical Engineering, University of Virginia Health System, Box 800759, Charlottesville, VA 22908, USA.en
dc.identifier.journalJournal of bacteriologyen
refterms.dateFOA2018-06-12T18:06:24Z
html.description.abstractPseudomonas aeruginosa is a major life-threatening opportunistic pathogen that commonly infects immunocompromised patients. This bacterium owes its success as a pathogen largely to its metabolic versatility and flexibility. A thorough understanding of P. aeruginosa's metabolism is thus pivotal for the design of effective intervention strategies. Here we aim to provide, through systems analysis, a basis for the characterization of the genome-scale properties of this pathogen's versatile metabolic network. To this end, we reconstructed a genome-scale metabolic network of Pseudomonas aeruginosa PAO1. This reconstruction accounts for 1,056 genes (19% of the genome), 1,030 proteins, and 883 reactions. Flux balance analysis was used to identify key features of P. aeruginosa metabolism, such as growth yield, under defined conditions and with defined knowledge gaps within the network. BIOLOG substrate oxidation data were used in model expansion, and a genome-scale transposon knockout set was compared against in silico knockout predictions to validate the model. Ultimately, this genome-scale model provides a basic modeling framework with which to explore the metabolism of P. aeruginosa in the context of its environmental and genetic constraints, thereby contributing to a more thorough understanding of the genotype-phenotype relationships in this resourceful and dangerous pathogen.


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