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Deciphering flux adjustments of engineered E. coli cells during fermentation with changing growth conditions

机译:在发酵过程中,在发酵过程中解密磁通量调节,随着生长条件的变化

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Microbial fermentation conditions are dynamic, due to transcriptional induction, nutrient consumption, or changes to incubation conditions. In this study, C-13-metabolic flux analysis was used to characterize two violacein-producing E. coli strains with vastly different productivities, and to profile their metabolic adjustments resulting from external perturbations during fermentation. The two strains were first grown at 37 degrees C in stage 1, and then the temperature was transitioned to 20 degrees C in stage 2 for the optimal expression of the violacein synthesis pathway. After induction, violacein production was minimal in stage 3, but accelerated in stage 4 (early production phase) and 5 (late production phase) in the high producing strain, reaching a final concentration of 1.5 mmol/L. On the contrary, similar to 0.02 mmol/L of violacein was obtained from the low producing strain. To have a snapshot of the temporal metabolic changes in each stage, we performed C-13-MFA via isotopomer analysis of fast-turnover free metabolites. The results indicate strikingly stable flux ratios in the central metabolism throughout the early growth stages. In the late stages, however, the high producer rewired its flux distribution significantly, which featured an upregulated pentose phosphate pathway and TCA cycle, reflux from acetate utilization, negligible anabolic fluxes, and elevated maintenance loss, to compensate for nutrient depletion and drainage of some building blocks due to violacein overproduction. The low producer with stronger promoters shifted its relative fluxes in stage 5 by enhancing the flux through the TCA cycle and acetate overflow, while exhibiting a reduced biomass growth and a minimal flux towards violacein synthesis. Interestingly, the addition of the violacein precursor (tryptophan) in the medium inhibited high producer but enhanced low producer's productivity, leading to hypotheses of unknown pathway regulations (such as metabolite channeling).
机译:由于转录诱导,营养消耗或孵化条件的变化,微生物发酵条件是动态的。在该研究中,C-13代谢通量分析用于表征两种产生的紫杉蛋白的大肠杆菌菌株,具有巨大不同的生产力,并在发酵过程中造成由外部扰动引起的代谢调整。首先在第1期的37℃下生长两个菌株,然后在第2阶段将温度转变为20℃,以获得紫杉蛋白合成途径的最佳表达。在诱导后,virtapein生产在第3阶段最小,但在高产生菌株中阶段4(早期产量)和5(晚期生产阶段),达到1.5mmol / L的终浓度。相反,类似于0.02mmol / L的violapein,从低产生菌株获得。为了在每个阶段进行时间代谢变化的快照,我们通过快速周转代谢物的同位素分析进行​​C-13-MFA。结果表明,在整个早期生长阶段的中央代谢中表明了稳定的助焊剂比率。然而,在晚期阶段,高生产商显着重新加快其助焊剂分布,其精选磷酸磷酸途径和TCA循环,从醋酸盐利用,可忽略不计的合成助焊剂和升高的维持损失,以补偿一些人的营养消耗和排水由于violachin产量,构建块。具有较强的启动子的低生产者通过通过TCA循环和醋酸盐溢流增强助焊剂在阶段5中转移其相对助量,同时表现出降低的生物质生长和对virtapein合成的最小助焊剂。有趣的是,培养基中的紫薇前体(色氨酸)添加了高生产者,但增强了低生产者的生产力,导致未知途径法规(如代谢物沟道)的假设。

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