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构建高质量的代谢模型有助于确定天蓝色链霉菌A3(2)中用于提高抗生素产量的基因过表达靶点。

Reconstruction of a high-quality metabolic model enables the identification of gene overexpression targets for enhanced antibiotic production in Streptomyces coelicolor A3(2).

作者信息

Kim Minsuk, Sang Yi Jeong, Kim Joonwon, Kim Ji-Nu, Kim Min Woo, Kim Byung-Gee

机构信息

School of Chemical and Biological Engineering, Institute of Molecular Biology and Genetics, and Bioengineering Institute, Seoul National University, Seoul, Republic of Korea.

出版信息

Biotechnol J. 2014 Sep;9(9):1185-94. doi: 10.1002/biot.201300539. Epub 2014 Apr 23.

Abstract

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.

摘要

链霉菌是在工业和制药领域具有重要意义的细菌,能产生包括抗生素在内的多种次级代谢产物。链霉菌拥有一个负责次级代谢产物生产和土壤中有机残留物利用的复杂代谢网络。在本研究中,我们构建了一个用于天蓝色链霉菌A3(2)的高质量代谢模型,命名为iMK1208,以了解并改造该模式菌种的代谢。与之前天蓝色链霉菌的代谢模型iIB711相比,iMK1208的预测能力因近期的研究进展而得到增强,这些进展使得能够纳入更新的生物质方程、化学计量矩阵和能量参数。通过将预测结果与各种生长培养基中生长能力的实验数据进行比较,对iMK1208进行了验证。此外,我们将一种菌株设计算法,即基于强制目标通量的通量扫描(FSEOF),应用于iMK1208以实现放线紫红素的过量生产。FSEOF结果不仅确定了先前已知的基因过表达靶点,如actII-ORF4和乙酰辅酶A羧化酶,还确定了新的靶点,如支链α-酮酸脱氢酶(BCDH)。我们构建并评估了BCDH过表达突变体,其放线紫红素产量增加了52倍,验证了iMK1208的预测能力。因此,iMK1208被证明是一个有用且有价值的框架,可用于利用系统生物学和代谢工程原理研究具有生物技术重要性的链霉菌物种。

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