De novo biosynthesis of β-Arbutin in Komagataella phaffii based on metabolic engineering strategies.

IF 4.3 2区 生物学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Microbial Cell Factories Pub Date : 2024-09-30 DOI:10.1186/s12934-024-02525-8
Jiashuo Yang, Liu Yang, Fengguang Zhao, Chunting Ye, Shuangyan Han
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Abstract

Background: β-Arbutin, found in the leaves of bearberry, stands out as one of the globally acknowledged eco-friendly whitening additives in recent years. However, the natural abundance of β-Arbutin is low, and the cost-effectiveness of using chemical synthesis or plant extraction methods is low, which cannot meet the requirements. While modifying the β-Arbutin synthesis pathway of existing strains is a viable option, it is hindered by the limited synthesis capacity of these strains, which hinders further development and application.

Results: In this study, we established a biosynthetic pathway in Komagataella phaffii for β-Arbutin production with a titer of 1.58 g/L. Through diverse metabolic strategies, including fusion protein construction, enhancing shikimate pathway flux, and augmenting precursor supplies (PEP, E4P, and UDPG), we significantly increased β-Arbutin titer to 4.32 g/L. Further optimization of methanol concentration in shake flasks led to a titer of 6.32 g/L titer after 120 h of fermentation, representing a fourfold increase over the initial titer. In fed-batch fermentation, strain UA3-10 set a record with the highest production to date, reaching 128.6 g/L in a 5 L fermenter.

Conclusions: This is the highest yield in the fermentation tank level of using microbial cell factories for de novo synthesis of β-Arbutin. Applying combinatorial engineering strategies has significantly improved the β-Arbutin yield in K. phaffii and is a promising approach for synthesizing functional products using a microbial cell factory. This study not only advances low-cost fermentation-based production of β-Arbutin but also establishes K. phaffii as a promising chassis cell for synthesizing other aromatic amino acid metabolites.

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基于代谢工程策略的 Komagataella phaffii β-Arbutin 新生物合成。
背景:熊果叶中的β-熊果苷是近年来全球公认的环保美白添加剂之一。然而,β-熊果苷的天然丰度较低,采用化学合成或植物提取的方法成本效益较低,无法满足要求。虽然改造现有菌株的β-熊果苷合成途径是一种可行的选择,但由于这些菌株的合成能力有限,阻碍了其进一步的开发和应用:结果:在本研究中,我们在 Komagataella phaffii 中建立了一条生产β-熊果苷的生物合成途径,滴度为 1.58 g/L。通过多种代谢策略,包括构建融合蛋白、提高莽草酸途径通量和增加前体供应(PEP、E4P 和 UDPG),我们将 β-熊果苷的滴度显著提高到 4.32 克/升。进一步优化摇瓶中的甲醇浓度,发酵 120 小时后,滴度达到 6.32 克/升,比初始滴度提高了四倍。在喂料批次发酵中,菌株 UA3-10 创造了迄今为止的最高产量记录,在 5 升发酵罐中达到 128.6 克/升:结论:这是利用微生物细胞工厂从头合成β-熊果苷的发酵罐中的最高产量。应用组合工程策略显著提高了 K. phaffii 的 β-熊果苷产量,是利用微生物细胞工厂合成功能性产品的一种有前途的方法。这项研究不仅推动了以发酵为基础的β-熊果苷的低成本生产,而且将 K. phaffii 确立为合成其他芳香族氨基酸代谢产物的有前途的底盘细胞。
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来源期刊
Microbial Cell Factories
Microbial Cell Factories 工程技术-生物工程与应用微生物
CiteScore
9.30
自引率
4.70%
发文量
235
审稿时长
2.3 months
期刊介绍: Microbial Cell Factories is an open access peer-reviewed journal that covers any topic related to the development, use and investigation of microbial cells as producers of recombinant proteins and natural products, or as catalyzers of biological transformations of industrial interest. Microbial Cell Factories is the world leading, primary research journal fully focusing on Applied Microbiology. The journal is divided into the following editorial sections: -Metabolic engineering -Synthetic biology -Whole-cell biocatalysis -Microbial regulations -Recombinant protein production/bioprocessing -Production of natural compounds -Systems biology of cell factories -Microbial production processes -Cell-free systems
期刊最新文献
De novo biosynthesis of β-Arbutin in Komagataella phaffii based on metabolic engineering strategies. The influence of growth rate-controlling feeding strategy on the surfactin production in Bacillus subtilis bioreactor processes. Novel nanoconjugates of metal oxides and natural red pigment from the endophyte Monascus ruber using solid-state fermentation. Continuous production of chitooligosaccharides in a column reactor by the PUF-immobilized whole cell enzymes of Mucor circinelloides IBT-83. Correction: Enhancement of vitamin B6 production driven by omics analysis combined with fermentation optimization.
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