Genome-scale metabolic network analysis of the opportunistic pathogen Pseudomonas aeruginosa PAO1.
Cast your vote
You can rate an item by clicking the amount of stars they wish to award to this item.
When enough users have cast their vote on this item, the average rating will also be shown.
Your vote was cast
Thank you for your feedback
Thank you for your feedback
AuthorsOberhardt, Matthew A
Fryer, Kimberly E
Martins dos Santos, Vítor A P
Papin, Jason A
MetadataShow full item record
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.
CitationGenome-scale metabolic network analysis of the opportunistic pathogen Pseudomonas aeruginosa PAO1. 2008, 190 (8):2790-803 J. Bacteriol.
AffiliationDepartment of Biomedical Engineering, University of Virginia Health System, Box 800759, Charlottesville, VA 22908, USA.
JournalJournal of bacteriology
The following license files are associated with this item:
- Complete genome sequence of Pseudomonas aeruginosa PAO1, an opportunistic pathogen.
- Authors: Stover CK, Pham XQ, Erwin AL, Mizoguchi SD, Warrener P, Hickey MJ, Brinkman FS, Hufnagle WO, Kowalik DJ, Lagrou M, Garber RL, Goltry L, Tolentino E, Westbrock-Wadman S, Yuan Y, Brody LL, Coulter SN, Folger KR, Kas A, Larbig K, Lim R, Smith K, Spencer D, Wong GK, Wu Z, Paulsen IT, Reizer J, Saier MH, Hancock RE, Lory S, Olson MV
- Issue date: 2000 Aug 31
- Targeting multiple targets in Pseudomonas aeruginosa PAO1 using flux balance analysis of a reconstructed genome-scale metabolic network.
- Authors: Perumal D, Samal A, Sakharkar KR, Sakharkar MK
- Issue date: 2011 Jan
- Genome-scale analysis of Mannheimia succiniciproducens metabolism.
- Authors: Kim TY, Kim HU, Park JM, Song H, Kim JS, Lee SY
- Issue date: 2007 Jul 1
- Genome-scale reconstruction and in silico analysis of the Clostridium acetobutylicum ATCC 824 metabolic network.
- Authors: Lee J, Yun H, Feist AM, Palsson BØ, Lee SY
- Issue date: 2008 Oct
- Complete genome sequence and comparative analysis of the metabolically versatile Pseudomonas putida KT2440.
- Authors: Nelson KE, Weinel C, Paulsen IT, Dodson RJ, Hilbert H, Martins dos Santos VA, Fouts DE, Gill SR, Pop M, Holmes M, Brinkac L, Beanan M, DeBoy RT, Daugherty S, Kolonay J, Madupu R, Nelson W, White O, Peterson J, Khouri H, Hance I, Chris Lee P, Holtzapple E, Scanlan D, Tran K, Moazzez A, Utterback T, Rizzo M, Lee K, Kosack D, Moestl D, Wedler H, Lauber J, Stjepandic D, Hoheisel J, Straetz M, Heim S, Kiewitz C, Eisen JA, Timmis KN, Düsterhöft A, Tümmler B, Fraser CM
- Issue date: 2002 Dec