Evidence map›Paper›PMID 41731501›Full record

ArticleMicrobial cell factories2026

Engineering a yeast cell factory for high-level production of unnatural ginsenoside 3β-O-Glc-DM.

Xiao-Yan Sun, Yu Peng, Ting Gong, Jing-Jing Chen, Tian-Jiao Chen, Jin-Ling Yang, Ping Zhu

Abstract read
In one paragraph

Article in Microbial cell factories, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Xiao-Yan SunState Key Laboratory of Bioactive Substance and Function of Natural Medicines, NHC Key Laboratory of Biosynthesis of Natural Products, CAMS Key Laboratory of Enzyme and Biocatalysis of Natural Drugs, Institute of Materia Medica, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100050, China.
Yu PengState Key Laboratory of Bioactive Substance and Function of Natural Medicines, NHC Key Laboratory of Biosynthesis of Natural Products, CAMS Key Laboratory of Enzyme and Biocatalysis of Natural Drugs, Institute of Materia Medica, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100050, China.
Ting GongState Key Laboratory of Bioactive Substance and Function of Natural Medicines, NHC Key Laboratory of Biosynthesis of Natural Products, CAMS Key Laboratory of Enzyme and Biocatalysis of Natural Drugs, Institute of Materia Medica, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100050, China.
Jing-Jing ChenState Key Laboratory of Bioactive Substance and Function of Natural Medicines, NHC Key Laboratory of Biosynthesis of Natural Products, CAMS Key Laboratory of Enzyme and Biocatalysis of Natural Drugs, Institute of Materia Medica, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100050, China.
Tian-Jiao ChenState Key Laboratory of Bioactive Substance and Function of Natural Medicines, NHC Key Laboratory of Biosynthesis of Natural Products, CAMS Key Laboratory of Enzyme and Biocatalysis of Natural Drugs, Institute of Materia Medica, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100050, China.
Jin-Ling YangState Key Laboratory of Bioactive Substance and Function of Natural Medicines, NHC Key Laboratory of Biosynthesis of Natural Products, CAMS Key Laboratory of Enzyme and Biocatalysis of Natural Drugs, Institute of Materia Medica, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100050, China. yangjl@imm.ac.cn.
Ping ZhuState Key Laboratory of Bioactive Substance and Function of Natural Medicines, NHC Key Laboratory of Biosynthesis of Natural Products, CAMS Key Laboratory of Enzyme and Biocatalysis of Natural Drugs, Institute of Materia Medica, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100050, China. zhuping@imm.ac.cn.

Funding

National Natural Science Foundation of China 82574301the Beijing Natural Science Foundation 7212158the CAMS Innovation Fund for Medical Sciences 2024-I2M-TS-013
6 · The paper itself

Abstract

backgroundThe unnatural ginsenoside 3β-O-Glc-DM exhibits potent anti-colon cancer activity. An engineered yeast strain expressing the dammarenediol-II synthase (DS) and glycosyltransferase (PgUGT74AE2) genes from Panax ginseng was previously constructed to produce 3β-O-Glc-DM. However, the titer of 3β-O-Glc-DM was insufficient for industrial-scale production. To overcome this limitation, we employed a semi-rational design approach to engineer PgUGT74AE2, integrating enzyme optimization with fermentation enhancement to boost 3β-O-Glc-DM production.

resultsMolecular docking identified 12 key residues near the active pocket as mutation hotspots. Alanine scanning at these positions revealed that substitutions at K276 and H185 improved catalytic activity. Subsequent semi-saturation mutagenesis specifically at K276 yielded mutants K276A and K276V, both exhibiting a 3.4-fold increase in catalytic activity relative to wild-type PgUGT74AE2. This improved activity resulted from reduced steric hindrance and enhanced hydrophobic interactions. The chassis strain Y-ΔHXK2 was optimized for enhanced 2,3-oxidosqualene production by overexpressing key upstream biosynthetic enzymes, down-regulating competitive branch pathways, and overexpressing the transcriptional activator HAC1, thereby generating the strain Y13. Subsequently, the mutant PgUGT74AE2-K276A and DS genes were integrated into Y13 via the CRISPR/Cas9 system to generate the strain Y13-A9. Further optimization of the shake-flask culture conditions increased the titer of 3β-O-Glc-DM produced by the strain to 425 mg/L. We conducted fed-batch fermentation using a feedback-controlled feeding method in a 3-L bioreactor. The titer of 3β-O-Glc-DM reached 3.4 g/L, representing a 42% increase over that achieved by the previously constructed engineered strain Y8CSH (2.4 g/L).

conclusionsThis study significantly enhanced the production of 3β-O-Glc-DM in the engineered yeast through protein and metabolic engineering. It lays a foundation for its industrial-scale production and the development of new anti-colon cancer drugs.

Indexed as

GinsenosidesMetabolic EngineeringSaccharomyces cerevisiaeAlkyl and Aryl TransferasesFermentationGlycosyltransferasesMolecular Docking SimulationPanaxAlkyl and Aryl Transferasesdammarenediol-II synthase, Panax ginsengGinsenosidesGlycosyltransferasesGlycosyltransferaseMetabolic engineeringProtein engineeringSynthetic biologyUnnatural ginsenoside

Identifiers

PMID41731501
PMCPMC13037088

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.