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.
journal_name
BMC Genomicsjournal_title
BMC genomicsauthors
Alam MT,Merlo ME,STREAM Consortium.,Hodgson DA,Wellington EM,Takano E,Breitling Rdoi
10.1186/1471-2164-11-202subject
Has Abstractpub_date
2010-03-26 00:00:00pages
202issn
1471-2164pii
1471-2164-11-202journal_volume
11pub_type
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