Dataset Information

Streptomyces coelicolor A3(2) strain M600 wild type transcriptome ChIP-chip with the bldC null mutant

ABSTRACT: Global regulation by the Streptomyces coelicolor atypical MerR-like transcription factor BldC. BldC is a transcriptional regulator essential for morphological development and antibiotic production in Streptomyces coelicolor. Here we identify the BldC regulon by means of chromatin immunoprecipitation (ChIP) microarray analysis. The BldC regulon encompasses at least 201 transcriptional units, which include many genes that play key roles in Streptomyces development (e.g., bldC itself, bldB, bldM, whiB, whiD, whiI, sigF, smeA-sffA, hupS), antibiotic production (e.g., afsK) and stress response (e.g., clpB, nsrR, sigE, sigF). All BldC-binding sites identified by ChIP-chip are present in the promoters of the target genes. In vitro DNA-binding experiments show that BldC is capable of binding DNA specifically in the absence of other proteins and suggest that BldC is a minor-groove DNA-binding protein. The regulon of BldC partially overlaps with that of the pleiotropic regulator BldD. BldC and BldD bind to distinct sites in the promoter region of smeA, where they simultaneously repress its transcription.

ORGANISM(S): Streptomyces coelicolor Streptomyces coelicolor A3(2)

PROVIDER: GSE28908 | GEO | 2013/01/01

SECONDARY ACCESSION(S): PRJNA140673

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Alam2010 - Genome-scale metabolic network of Streptomyces coelicolor This model is described in the article: Metabolic modeling and analysis of the metabolic switch in Streptomyces coelicolor. Alam MT, Merlo ME, STREAM Consortium, Hodgson DA, Wellington EM, Takano E, Breitling R. BMC Genomics 2010; 11: 202 Abstract: BACKGROUND: The transition from exponential to stationary phase in Streptomyces coelicolor is accompanied by a major metabolic switch and results in a strong activation of secondary metabolism. Here we have explored the underlying reorganization of the metabolome by combining computational predictions based on constraint-based modeling and detailed transcriptomics time course observations. RESULTS: We reconstructed the stoichiometric matrix of S. coelicolor, including the major antibiotic biosynthesis pathways, and performed flux balance analysis to predict flux changes that occur when the cell switches from biomass to antibiotic production. We defined the model input based on observed fermenter culture data and used a dynamically varying objective function to represent the metabolic switch. The predicted fluxes of many genes show highly significant correlation to the time series of the corresponding gene expression data. Individual mispredictions identify novel links between antibiotic production and primary metabolism. CONCLUSION: Our results show the usefulness of constraint-based modeling for providing a detailed interpretation of time course gene expression data. This model is hosted on BioModels Database and identified by: MODEL1507180005. 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.

Dataset Information

Streptomyces coelicolor A3(2) strain M600 wild type transcriptome ChIP-chip with the bldC null mutant

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets