Integration And Reconstruction Of Genome-Scale Metabolic Network Of Streptomyces Avermitilis MA-4680

In recent years, as one of the hot fileds in systems biology, research on the whole genome scale metabolic model (GSMM) has got a rapid development. GSMM tries to collect every reaction of target organism through integrating genome annotation and biochemical knowledge to reconstruct a stoichiometric mathematical model. It bridges the gaps between genome-derived biochemical information and metabolic phenotype in a principled manner, offering an ideal view of the whole cell. Building a genome-scale metabolic model means great theoretical and practical significance by facilitating both the biological theory discovery and research and metabolic engineering for strain improvement.Streptomyces avermitilis MA-4680, one of important industrial strains, is selected as the target microbe in this reconstructing research. According to data integration of multiple databases, intensive literature search and computer aided correction, the genome scale metabolic model of S. avermitilis MA-4680, SavNet, was reconstructed. Draft SavNet made full use of genome annotation and biochemical knowledge from databases including KEGG, BioCyc, NCBI(Entrez), Uniprot, CMR, The Seed(ModelSeed) and BRENDA, making up the lack of a single source of data. After further iterative artificial and computing correction, the generated SavNet accounted for1077genes,936metabolites,1145reactions and596enzymes. It could produce all the precursors of biomass in the testing media and grow with different carbon substrates which were validated by the literatures. From a topological perspective, SavNet strongly showed the "scale free" and "small world", typical properties of biological network. Finally, the model was stored in Excel list and SBML format for further curation and application.SavNet is the first genome-scale metabolic model of S.avermitilis. It not only lays the foundation of in silico model-aided breeding methods for S. avermitilis, but also has an important theoretical significance on the researches about growth characteristics, metabolic regulation, genetic evolution of Streptomyces genus.