Fang2011 - Genome-scale metabolic network of Burkholderia cenocepacia (iKF1028)
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ABSTRACT:
Fang2011 - Genome-scale metabolic network of
Burkholderia cenocepacia (iKF1028)
This model is described in the article:
Exploring the metabolic
network of the epidemic pathogen Burkholderia cenocepacia J2315
via genome-scale reconstruction.
Fang K, Zhao H, Sun C, Lam CM, Chang
S, Zhang K, Panda G, Godinho M, Martins dos Santos VA, Wang
J.
BMC Syst Biol 2011; 5: 83
Abstract:
BACKGROUND: Burkholderia cenocepacia is a threatening
nosocomial epidemic pathogen in patients with cystic fibrosis
(CF) or a compromised immune system. Its high level of
antibiotic resistance is an increasing concern in treatments
against its infection. Strain B. cenocepacia J2315 is the most
infectious isolate from CF patients. There is a strong demand
to reconstruct a genome-scale metabolic network of B.
cenocepacia J2315 to systematically analyze its metabolic
capabilities and its virulence traits, and to search for
potential clinical therapy targets. RESULTS: We reconstructed
the genome-scale metabolic network of B. cenocepacia J2315. An
iterative reconstruction process led to the establishment of a
robust model, iKF1028, which accounts for 1,028 genes, 859
internal reactions, and 834 metabolites. The model iKF1028
captures important metabolic capabilities of B. cenocepacia
J2315 with a particular focus on the biosyntheses of key
metabolic virulence factors to assist in understanding the
mechanism of disease infection and identifying potential drug
targets. The model was tested through BIOLOG assays. Based on
the model, the genome annotation of B. cenocepacia J2315 was
refined and 24 genes were properly re-annotated. Gene and
enzyme essentiality were analyzed to provide further insights
into the genome function and architecture. A total of 45
essential enzymes were identified as potential therapeutic
targets. CONCLUSIONS: As the first genome-scale metabolic
network of B. cenocepacia J2315, iKF1028 allows a systematic
study of the metabolic properties of B. cenocepacia and its key
metabolic virulence factors affecting the CF community. The
model can be used as a discovery tool to design novel drugs
against diseases caused by this notorious pathogen.
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SUBMITTER: Nicolas Le Novère
PROVIDER: MODEL1507180051 | BioModels | 2015-07-30
REPOSITORIES: BioModels
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