Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Expression data from Burkholderia cenocepacia J2315 hfq and hfq2 mutants

ABSTRACT: Hfq proteins are RNA chaperones that play a critical role in post-transcription regulation of gene expression. Bacteria of the Burkholderia cepacia complex harbor two distinct and functional Hfq proteins, the Hfq and Hfq2. We have previously performed the functional analysis of Hfq and Hfq2 in the pathogen Burkholderia cenocepacia J2315. In order to examine the impacts of each RNA chaperone on the global transcriptome of B. cenocepacia J2315, we performed comparative transcriptome profile of mutants on the hfq and hfq2 genes, using as reference the wild-type strain. For expression profiling, over-night cultures of the Burkholderia cenocepacia J2315 wild-type strain and the isogenic mutants hfq::Tp and M-NM-^Thfq2 grown in LB medium were diluted to an initial OD640 nm of 0.25 into LB medium. Triplicate samples were cultured at 37M-BM-:C with 250 r.p.m. agitation for 16 h and RNA extracted from the three bacterial isolates.

ORGANISM(S): Burkholderia cenocepacia

SUBMITTER: Leonilde Moreira

PROVIDER: E-GEOD-47344 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description: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. This model is hosted on BioModels Database and identified by: MODEL1507180051. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

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Expression data from Burkholderia cenocepacia J2315 hfq and hfq2 mutants

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