A Novel De Novo Biosynthetic Pathway for Efficient Synthesis of 6'-Sialyllactose in Escherichia coli.

IF 3.9 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Manxiang Zhu, Hongzhi Xia, Xianhao Xu, Yanfeng Liu, Guocheng Du, Xueqin Lv, Long Liu, Shixiu Cui, Jianghua Li, Yingyue Li
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Abstract

6'-Sialyllactose (6'-SL) is an essential human milk oligosaccharide (HMO) that plays a crucial role in infant development with significant industrial potential. In this study, a novel biosynthetic pathway was employed to produce 6'-SL through de novo synthesis from glycerol in E. coli. First, the key enzymes for 6'-SL biosynthesis were expressed to achieve a yield of 6'-SL of 9.72 mg/L in E. coli. Next, to further increase the yield of 6'-SL, lactose degradation was prevented and genes involved in competing pathways were knocked out. Afterwards, by eliminating carbon catabolite repression (CCR), together with previous genetic modifications, 1.92 g/L of 6'-SL was successfully produced. Finally, by alleviating metabolic pressure from growth production interference and knocking out GlcNAc degradation genes, the yield of 6'-SL reached 6.21 g/L, which was higher than previously reported shake-flask yields. Additionally, in a 3-L fermenter, a yield of 14.33 g/L of 6'-SL was successfully achieved. This study successfully developed a novel plasmid-free, high-yield 6'-SL strain, demonstrating the strong potential of the GlcNAc pathway for 6'-SL biosynthesis.

一种在大肠杆菌中高效合成6′-唾液基乳糖的新生物合成途径
6′-唾液基乳糖(6′-SL)是一种重要的母乳低聚糖(HMO),在婴儿发育中起着至关重要的作用,具有巨大的工业潜力。本研究采用一种新的生物合成途径,在大肠杆菌中由甘油从头合成6′-SL。首先,表达6’-SL生物合成的关键酶,使6’-SL在大肠杆菌中的产率达到9.72 mg/L。接下来,为了进一步提高6'-SL的产量,我们阻止了乳糖的降解,并敲除了参与竞争通路的基因。随后,通过消除碳分解代谢抑制(CCR),加上之前的基因修饰,成功地产生了1.92 g/L的6'-SL。最后,通过缓解生长干扰的代谢压力和敲除GlcNAc降解基因,6′-SL的产量达到6.21 g/L,高于之前报道的摇瓶产量。此外,在3-L发酵罐中,6'-SL的产量成功达到14.33 g/L。本研究成功开发了一种新型的无质粒高产6’-SL菌株,证明了GlcNAc途径在6’-SL生物合成中的强大潜力。
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来源期刊
CiteScore
8.00
自引率
10.60%
发文量
380
审稿时长
6-12 weeks
期刊介绍: The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism. Topics may include, but are not limited to: Design and optimization of genetic systems Genetic circuit design and their principles for their organization into programs Computational methods to aid the design of genetic systems Experimental methods to quantify genetic parts, circuits, and metabolic fluxes Genetic parts libraries: their creation, analysis, and ontological representation Protein engineering including computational design Metabolic engineering and cellular manufacturing, including biomass conversion Natural product access, engineering, and production Creative and innovative applications of cellular programming Medical applications, tissue engineering, and the programming of therapeutic cells Minimal cell design and construction Genomics and genome replacement strategies Viral engineering Automated and robotic assembly platforms for synthetic biology DNA synthesis methodologies Metagenomics and synthetic metagenomic analysis Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction Gene optimization Methods for genome-scale measurements of transcription and metabolomics Systems biology and methods to integrate multiple data sources in vitro and cell-free synthetic biology and molecular programming Nucleic acid engineering.
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