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Flux balance analysis inspired bioprocess upgrading for lycopene production by a metabolically engineered strain of Yarrowia lipolytica

机译:通量平衡分析激发了由解脂耶氏酵母新陈代谢菌株生产番茄红素的生物工艺升级

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摘要

Genome-scale metabolic models embody a significant advantage of systems biology since their applications as metabolic flux simulation models enable predictions for the production of industrially-interesting metabolites. The biotechnological production of lycopene from Yarrowia lipolytica is an emerging scope that has not been fully scrutinized, especially for what concerns cultivation conditions of newly generated engineered strains. In this study, by combining flux balance analysis (FBA) and Plackett-Burman design, we screened chemicals for lycopene production from a metabolically engineered strain of Y. lipolytica. Lycopene concentrations of 126 and 242 mg/L were achieved correspondingly from the FBA-independent and the FBA-assisted designed media in fed-batch cultivation mode. Transcriptional studies revealed upregulations of heterologous genes in media designed according to FBA, thus implying the efficiency of model predictions. Our study will potentially support upgraded lycopene and other terpenoids production from existing or prospect bioengineered strains of Y. lipolytica and/or closely related yeast species.
机译:基因组规模的代谢模型具有系统生物学的显着优势,因为它们作为代谢通量模拟模型的应用使得能够预测出具有工业价值的代谢产物。来自解脂耶氏酵母的番茄红素的生物技术生产是尚未被详细审查的新兴领域,特别是对于涉及新产生的工程菌株的培养条件的领域。在这项研究中,通过结合通量平衡分析(FBA)和Plackett-Burman设计,我们从代谢工程解脂耶氏酵母中筛选了用于番茄红素生产的化学物质。在分批补料培养模式下,分别从独立于FBA和FBA辅助设计的培养基中分别获得了126和242 mg / L的番茄红素浓度。转录研究揭示了根据FBA设计的培养基中异源基因的上调,从而暗示了模型预测的效率。我们的研究将潜在地支持从解脂耶氏酵母和/或密切相关的酵母物种的现有或潜在生物工程菌株生产升级的番茄红素和其他萜类化合物。

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