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首页> 外文期刊>Applied biochemistry and biotechnology, Part A. enzyme engineering and biotechnology >Metabolic flux analysis and principal nodes identification for daptomycin production improvement by streptomyces roseosporus
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Metabolic flux analysis and principal nodes identification for daptomycin production improvement by streptomyces roseosporus

机译:玫瑰孢链霉菌改善达托霉素生产的代谢通量分析和主要结点鉴定

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In the present work, a comprehensive metabolic network of Streptomyces roseosporus LC-54-20 was proposed for daptomycin production. The analysis of extracellular metabolites throughout the batch fermentation was evaluated in addition to daptomycin and biomass production. Metabolic flux distributions were based on stoichiometrical reaction as well as the extracellular metabolites fluxes. Experimental and calculated values for both the specific growth rate and daptomycin production rate indicated that the in silico model proved a powerful tool to analyze the metabolic behaviors based on the analysis under different initial glucose concentrations throughout the fermentation. Through manipulating different pH values, the production rates of various extracellular metabolites were also presented in this paper. Flux distribution variations revealed that the daptomycin production could be significantly influenced by the branch points of glucose 6-phosphate, 3-phosphoglycerate, phosphoenolpyruvate, pyruvate, and oxaloacetate. The five principal metabolites were certified as the flexible nodes and could form potential bottlenecks for a further enhancement of daptomycin production. Furthermore, various concentrations of the five precursors were added into the batch fermentation and led to the enhancement of daptomycin concentration and production rate.
机译:在目前的工作中,提出了一种用于玫瑰霉素生产的玫瑰链霉菌LC-54-20的综合代谢网络。除了达托霉素和生物质的生产外,还评估了整个分批发酵过程中细胞外代谢物的分析。代谢通量分布基于化学计量反应以及细胞外代谢物通量。特定生长速率和达托霉素生产速率的实验和计算值表明,基于整个发酵过程中不同初始葡萄糖浓度下的分析,in silico模型证明是分析代谢行为的有力工具。通过控制不同的pH值,本文还提出了各种细胞外代谢物的生产率。助焊剂分布变化表明达托霉素的产生可能受到6-磷酸葡萄糖,3-磷酸甘油酸酯,磷酸烯醇丙酮酸,丙酮酸和草酰乙酸的分​​支点的显着影响。这五种主要代谢物被认证为柔性节点,并可能形成进一步提高达托霉素生产的潜在瓶颈。此外,将五种前体的各种浓度添加到分批发酵中,并导致达托霉素浓度和生产率的提高。

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