协同利用碳源高效生物合成n -乙酰氨基葡萄糖

IF 9.1 Q1 ENGINEERING, CHEMICAL Green Chemical Engineering Pub Date : 2023-06-01 DOI:10.1016/j.gce.2022.04.001
Yanni Pei, Yuhan Wang, Xiaolin Shen, Jia Wang, Xinxiao Sun, Qipeng Yuan
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引用次数: 2

摘要

N-乙酰葡糖胺(GlcNAc)是一种具有多种生物活性的氨基单糖,广泛应用于制药和食品工业。通过几丁质水解生产GlcNAc受到原料供应的限制,并面临贝类蛋白质污染的风险。对于GlcNAc的有效生物合成,一个挑战是平衡生长和生产之间的碳分布。在这里,我们应用了协同碳利用策略,其中甘油支持细胞生长并提供GlcNAc的乙酰基,而葡萄糖作为葡糖胺的前体。通过阻断产物的再吸收和降解,加强生物合成途径,协同利用两种碳源,逐步提高了GlcNAc的生产效率。通过这些努力,最终菌株产生了41.5g/L的GlcNAc,总碳源的产率为0.49g/g。此外,我们还探索了使用乙酸盐作为廉价碳源来部分取代甘油的可行性。本研究为GlcNAc的可持续高效生产提供了一种有前景的替代策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Synergistic utilization of carbon sources for efficient biosynthesis of N-acetylglucosamine

N-acetylglucosamine (GlcNAc) is an amino monosaccharide that has a variety of bioactivities and is widely used in pharmaceutical and food industries. Production of GlcNAc by chitin hydrolysis is limited by the supply of raw materials and encounters the risk of shellfish protein contamination. For efficient biosynthesis of GlcNAc, one challenge is to balance the carbon distribution between growth and production. Here, we applied the strategy of synergistic carbon utilization, in which glycerol supports cell growth and provides the acetyl group of GlcNAc while glucose serves as the precursor to glucosamine. The efficiency of GlcNAc production was stepwise improved by blocking the product re-uptake and degradation, strengthening the biosynthetic pathway and synergistically utilizing two carbon sources. With these efforts, the final strain produced 41.5 g/L GlcNAc with a yield of 0.49 g/g of total carbon sources. In addition, we also explored the feasibility of using acetate as a cheap carbon source to partly replace glycerol. This study provides a promising alternative strategy for sustainable and efficient production of GlcNAc.

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来源期刊
Green Chemical Engineering
Green Chemical Engineering Process Chemistry and Technology, Catalysis, Filtration and Separation
CiteScore
11.60
自引率
0.00%
发文量
58
审稿时长
51 days
期刊最新文献
OFC: Outside Front Cover Outside Back Cover Outside Back Cover OFC: Outside Front Cover Integration of physical information and reaction mechanism data for surrogate prediction model and multi-objective optimization of glycolic acid production
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