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Biotechnol J ; 9(9): 1185-94, 2014 Sep.
Artículo en Inglés | MEDLINE | ID: mdl-24623710

RESUMEN

Streptomycetes are industrially and pharmaceutically important bacteria that produce a variety of secondary metabolites including antibiotics. Streptomycetes have a complex metabolic network responsible for the production of secondary metabolites and the utilization of organic residues present in soil. In this study, we reconstructed a high-quality metabolic model for Streptomyces coelicolor A3(2), designated iMK1208, in order to understand and engineer the metabolism of this model species. In comparison to iIB711, the previous metabolic model for S. coelicolor, the predictive power of iMK1208 was enhanced by the recent insights that enabled the incorporation of an updated biomass equation, stoichiometric matrix, and energetic parameters. iMK1208 was validated by comparing predictions with the experimental data for growth capability in various growth media. Furthermore, we applied a strain-design algorithm, flux scanning based on enforced objective flux (FSEOF), to iMK1208 for actinorhodin overproduction. FSEOF results identified not only previously known gene overexpression targets such as actII-ORF4 and acetyl-CoA carboxylase, but also novel targets such as branched-chain α-keto acid dehydrogenase (BCDH). We constructed and evaluated the BCDH overexpression mutant, which showed a 52-fold increase in actinorhodin production, validating the prediction power of iMK1208. Hence iMK1208 was shown to be a useful and valuable framework for studying the biotechnologically important Streptomyces species using the principles of systems biology and metabolic engineering.


Asunto(s)
Antibacterianos/biosíntesis , Antibacterianos/metabolismo , Regulación Bacteriana de la Expresión Génica/genética , Streptomyces coelicolor/genética , Streptomyces coelicolor/metabolismo , Antraquinonas/metabolismo , Proteínas Bacterianas/genética , Proteínas Bacterianas/metabolismo , Biomasa , Medios de Cultivo/metabolismo , Modelos Biológicos , Biología de Sistemas
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