Semi-rational engineering of glucosamine-6-phosphate deaminase for catalytic synthesis of glucosamine from D-fructose

IF 3.4 3区 生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Enzyme and Microbial Technology Pub Date : 2024-11-27 DOI:10.1016/j.enzmictec.2024.110552
Zi-Hao Zhang, Yun-Xing Liao, Xue-Ting Deng, Zheng-Bing Guan
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Abstract

Glucosamine (GlcN), as one of the important derivatives of D-glucose, is formed by the substitution of the hydroxyl group at position 2 of glucose with an amino group. As a bioactive amino monosaccharide, GlcN is known for its various biological effects, including immune enhancement, antioxidant, anti-inflammatory, hepatoprotective, joint pain relief, and alleviation of osteoporosis. These properties highlight the broad applications of GlcN and its derivatives in pharmaceuticals, cosmetics, food production, and other fields, underscoring their promising prospects. Thus, the efficient industrial production of GlcN is gaining increasing attention as well. Here, we report a novel biosynthetic method for GlcN, utilizing engineered Escherichia coli expressing glucosamine-6-phosphate deaminase (GlmD) to directly convert D-fructose into GlcN. The best mutant screened using the Morgan-Elson colorimetric method is the triple mutant G42S/G43C/G136T (designated as GlmD-ZH11), which exhibits approximately 21 times higher catalytic activity towards D-fructose compared to the wild type. Using the purified enzyme of GlmD-ZH11 in shaken flask fermentation for six hours, we achieved a conversion rate of 72.11 % from D-fructose to GlcN. To further elucidate the mechanism behind the enhanced activity of the GlmD-ZH11 mutant, we conducted hydrogen bond network analysis to investigate the hydrogen bond interactions between the mutant and fructose. Additionally, we performed molecular dynamics simulations to study the RMSD and RMSF curves of the mutant. The results indicate that the protein structure of the mutant ZH11 is more stable and binds more tightly to the substrate. Calculations of the solvent-accessible surface area and binding free energy suggested that Thr41, Ser42, Asp72, Gly137, and Ala145 may be key amino acid residues in the catalytic process of ZH11. Finally, based on these findings and the catalytic mechanism of the wild type, we hypothesized a potential catalytic reaction mechanism for the ZH11 mutant.
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葡萄糖胺-6-磷酸脱氨酶催化d -果糖合成葡萄糖胺的半合理工程研究
葡萄糖胺(Glucosamine, GlcN)是葡萄糖2位羟基被氨基取代而形成的,是d -葡萄糖的重要衍生物之一。作为一种生物活性氨基单糖,GlcN具有多种生物效应,包括增强免疫、抗氧化、抗炎、保护肝脏、缓解关节疼痛和减轻骨质疏松症。这些特性突出了GlcN及其衍生物在制药、化妆品、食品生产等领域的广泛应用,凸显了其广阔的应用前景。因此,谷氨酰胺的高效工业化生产也受到越来越多的关注。在这里,我们报道了一种新的GlcN生物合成方法,利用表达葡萄糖胺-6-磷酸脱氨酶(GlmD)的工程大肠杆菌直接将d -果糖转化为GlcN。使用Morgan-Elson比色法筛选的最佳突变体是三重突变体G42S/G43C/G136T(指定为GlmD-ZH11),其对d -果糖的催化活性比野生型高约21倍。将纯化的GlmD-ZH11酶在摇瓶发酵6小时,d -果糖转化为GlcN的转化率为72.11 %。为了进一步阐明GlmD-ZH11突变体活性增强的机制,我们进行了氢键网络分析,以研究突变体与果糖之间的氢键相互作用。此外,我们还进行了分子动力学模拟来研究突变体的RMSD和RMSF曲线。结果表明,突变体ZH11的蛋白质结构更稳定,与底物结合更紧密。溶剂可及表面积和结合自由能的计算表明,Thr41、Ser42、Asp72、Gly137和Ala145可能是ZH11催化过程中的关键氨基酸残基。最后,基于这些发现和野生型的催化机制,我们假设了ZH11突变体的潜在催化反应机制。
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索莱宝
Glucosamine hydrochloride
索莱宝
Glucosamine hydrochloride
来源期刊
Enzyme and Microbial Technology
Enzyme and Microbial Technology 生物-生物工程与应用微生物
CiteScore
7.60
自引率
5.90%
发文量
142
审稿时长
38 days
期刊介绍: Enzyme and Microbial Technology is an international, peer-reviewed journal publishing original research and reviews, of biotechnological significance and novelty, on basic and applied aspects of the science and technology of processes involving the use of enzymes, micro-organisms, animal cells and plant cells. We especially encourage submissions on: Biocatalysis and the use of Directed Evolution in Synthetic Biology and Biotechnology Biotechnological Production of New Bioactive Molecules, Biomaterials, Biopharmaceuticals, and Biofuels New Imaging Techniques and Biosensors, especially as applicable to Healthcare and Systems Biology New Biotechnological Approaches in Genomics, Proteomics and Metabolomics Metabolic Engineering, Biomolecular Engineering and Nanobiotechnology Manuscripts which report isolation, purification, immobilization or utilization of organisms or enzymes which are already well-described in the literature are not suitable for publication in EMT, unless their primary purpose is to report significant new findings or approaches which are of broad biotechnological importance. Similarly, manuscripts which report optimization studies on well-established processes are inappropriate. EMT does not accept papers dealing with mathematical modeling unless they report significant, new experimental data.
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