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首页> 外文期刊>BMC Systems Biology >Clostridium butyricum maximizes growth while minimizing enzyme usage and ATP production: metabolic flux distribution of a strain cultured in glycerol
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Clostridium butyricum maximizes growth while minimizing enzyme usage and ATP production: metabolic flux distribution of a strain cultured in glycerol

机译:丁酸梭菌使生长最大化,同时使酶的使用和ATP的产生最小化:在甘油中培养的菌株的代谢通量分布

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Background The increase in glycerol obtained as a byproduct of biodiesel has encouraged the production of new industrial products, such as 1,3-propanediol (PDO), using biotechnological transformation via bacteria like Clostridium butyricum . However, despite the increasing role of Clostridium butyricum as a bio-production platform, its metabolism remains poorly modeled. Results We reconstructed i Cbu641, the first genome-scale metabolic (GSM) model of a PDO producer Clostridium strain, which included 641 genes, 365 enzymes, 891 reactions, and 701 metabolites. We found an enzyme expression prediction of nearly 84% after comparison of proteomic data with flux distribution estimation using flux balance analysis (FBA). The remaining 16% corresponded to enzymes directionally coupled to growth, according to flux coupling findings (FCF). The fermentation data validation also revealed different phenotype states that depended on culture media conditions; for example, Clostridium maximizes its biomass yield per enzyme usage under glycerol limitation. By contrast, under glycerol excess conditions, Clostridium grows sub-optimally, maximizing biomass yield while minimizing both enzyme usage and ATP production. We further evaluated perturbations in the GSM model through enzyme deletions and variations in biomass composition. The GSM predictions showed no significant increase in PDO production, suggesting a robustness to perturbations in the GSM model. We used the experimental results to predict that co-fermentation was a better alternative than i Cbu641 perturbations for improving PDO yields. Conclusions The agreement between the predicted and experimental values allows the use of the GSM model constructed for the PDO-producing Clostridium strain to propose new scenarios for PDO production, such as dynamic simulations, thereby reducing the time and costs associated with experimentation.
机译:背景技术作为通过生物柴油的副产物获得的甘油的增加,已经鼓励通过诸如丁酸梭菌的生物技术转化来生产新的工业产品,例如1,3-丙二醇(PDO)。然而,尽管丁酸梭状芽胞杆菌作为生物生产平台的作用日益增强,但其代谢模型仍然很差。结果我们重建了CDO641,这是PDO生产者梭状芽胞杆菌菌株的第一个基因组规模代谢(GSM)模型,其中包含641个基因,365个酶,891个反应和701个代谢物。在蛋白质组学数据与使用通量平衡分析(FBA)进行的通量分布估计进行比较之后,我们发现了将近84%的酶表达预测。根据通量偶合发现(FCF),剩余的16%对应于与生长定向结合的酶。发酵数据验证还揭示了取决于培养基条件的不同表型状态。例如,梭状芽胞杆菌在甘油限制下,每酶使用可最大化其生物质产量。相比之下,在甘油过量的条件下,梭状芽胞杆菌生长欠佳,从而最大程度地提高了生物质产量,同时最大程度地降低了酶的使用量和ATP的产生。我们通过酶的缺失和生物质组成的变化进一步评估了GSM模型中的扰动。 GSM预测表明PDO产量没有显着增加,这表明GSM模型对扰动具有鲁棒性。我们使用实验结果来预测,对于提高PDO产量,共发酵比i Cbu641扰动更好。结论预测值与实验值之间的一致性允许使用为生产PDO的梭状芽胞杆菌菌株构建的GSM模型来提出PDO生产的新方案,例如动态模拟,从而减少与实验相关的时间和成本。

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