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An efficient C-glycoside production platform enabled by rationally tuning the chemoselectivity of glycosyltransferases

Author

Listed:
  • Min Li

    (Hunan Normal University
    Zhejiang University School of Medicine
    Zhejiang University School of Medicine
    Zhejiang University School of Medicine)

  • Yang Zhou

    (Jinan University)

  • Zexing Wen

    (Hunan Normal University)

  • Qian Ni

    (Hunan Normal University)

  • Ziqin Zhou

    (Jinan University)

  • Yiling Liu

    (Jinan University)

  • Qiang Zhou

    (Chinese Academy of Sciences)

  • Zongchao Jia

    (Kingston)

  • Bin Guo

    (Hunan Normal University)

  • Yuanhong Ma

    (Hunan Normal University)

  • Bo Chen

    (Hunan Normal University)

  • Zhi-Min Zhang

    (Jinan University)

  • Jian-bo Wang

    (Hunan Normal University
    Zhejiang University School of Medicine
    Zhejiang University School of Medicine
    Zhejiang University School of Medicine)

Abstract

Despite the broad potential applications of C-glycosides, facile synthetic methods remain scarce. Transforming glycosyltransferases with promiscuous or natural O-specific chemoselectivity to C-glycosyltransferases is challenging. Here, we employ rational directed evolution of the glycosyltransferase MiCGT to generate MiCGT-QDP and MiCGT-ATD mutants which either enhance C-glycosylation or switch to O-glycosylation, respectively. Structural analysis and computational simulations reveal that substrate binding mode govern C-/O-glycosylation selectivity. Notably, directed evolution and mechanism analysis pinpoint the crucial residues dictating the binding mode, enabling the rational design of four enzymes with superior non-inherent chemoselectivity, despite limited sequence homology. Moreover, our best mutants undergo testing with 34 substrates, demonstrating superb chemoselectivities, regioselectivities, and activities. Remarkably, three C-glycosides and an O-glycoside are produced on a gram scale, demonstrating practical utility. This work establishes a highly selective platform for diverse glycosides, and offers a practical strategy for creating various types of glycosylation platforms to access pharmaceutically and medicinally interesting products.

Suggested Citation

  • Min Li & Yang Zhou & Zexing Wen & Qian Ni & Ziqin Zhou & Yiling Liu & Qiang Zhou & Zongchao Jia & Bin Guo & Yuanhong Ma & Bo Chen & Zhi-Min Zhang & Jian-bo Wang, 2024. "An efficient C-glycoside production platform enabled by rationally tuning the chemoselectivity of glycosyltransferases," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-53209-1
    DOI: 10.1038/s41467-024-53209-1
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    References listed on IDEAS

    as
    1. Kebo Xie & Xiaolin Zhang & Songyang Sui & Fei Ye & Jungui Dai, 2020. "Exploring and applying the substrate promiscuity of a C-glycosyltransferase in the chemo-enzymatic synthesis of bioactive C-glycosides," Nature Communications, Nature, vol. 11(1), pages 1-12, December.
    2. Giorgio Pesciullesi & Philippe Schwaller & Teodoro Laino & Jean-Louis Reymond, 2020. "Transfer learning enables the molecular transformer to predict regio- and stereoselective reactions on carbohydrates," Nature Communications, Nature, vol. 11(1), pages 1-8, December.
    3. Christopher J. Thibodeaux & Charles E. Melançon & Hung-wen Liu, 2007. "Unusual sugar biosynthesis and natural product glycodiversification," Nature, Nature, vol. 446(7139), pages 1008-1016, April.
    4. Andreas Crameri & Sun-Ai Raillard & Ericka Bermudez & Willem P. C. Stemmer, 1998. "DNA shuffling of a family of genes from diverse species accelerates directed evolution," Nature, Nature, vol. 391(6664), pages 288-291, January.
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