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首页> 外文期刊>Biotechnology Journal: Healthcare,Nutrition,Technology >Reconstruction of a high-quality metabolic model enables the identification of gene overexpression targets for enhanced antibiotic production in Streptomyces coelicolor A3(2)
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Reconstruction of a high-quality metabolic model enables the identification of gene overexpression targets for enhanced antibiotic production in Streptomyces coelicolor A3(2)

机译:高质量代谢模型的重建能够确定基因过表达靶点,以增强链霉菌A3(2)中抗生素的生产。

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摘要

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 ilB711, 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 actll-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.
机译:链霉菌是工业上和药学上重要的细菌,可产生包括抗生素在内的各种次级代谢产物。链霉菌具有复杂的代谢网络,负责产生次生代谢产物并利用土壤中存在的有机残留物。在这项研究中,我们重建了链霉菌A3(2)的高质量代谢模型,命名为iMK1208,以了解和工程化该模型物种的代谢。与以前的天蓝色链霉菌代谢模型ilB711相比,iMK1208的预测能力因最近的见识得到了增强,这些见解使并入了更新的生物量方程式,化学计量矩阵和能量参数。通过将预测与各种生长培养基中生长能力的实验数据进行比较,验证了iMK1208的有效性。此外,我们对iMK1208应用了一种应变设计算法,即基于强制目标通量(FSEOF)的通量扫描,以用于放线菌素过剩生产。 FSEOF结果不仅确定了先前已知的基因过表达靶标,例如actll-ORF4和乙酰辅酶A羧化酶,而且还鉴定了新型靶标,例如支链α-酮酸脱氢酶(BCDH)。我们构建并评估了BCDH过表达突变体,该突变体显示放线菌素产量增加了52倍,从而验证了iMK1208的预测能力。因此,iMK1208被证明是使用系统生物学和代谢工程原理研究生物技术上重要的链霉菌种的有用且有价值的框架。

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