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A polycistronic system for multiplexed and precalibrated expression of multigene pathways in fungi

  • Qun Yue
  • , Jie Meng
  • , Yue Qiu
  • , Miaomiao Yin
  • , Liwen Zhang
  • , Weiping Zhou
  • , Zhiqiang An
  • , Zihe Liu
  • , Qipeng Yuan
  • , Wentao Sun
  • , Chun Li
  • , Huimin Zhao
  • , István Molnár*
  • , Yuquan Xu*
  • , Shuobo Shi*
  • *Corresponding author for this work
    • Chinese Academy of Agricultural Sciences
    • Beijing University of Chemical Technology
    • University of Chinese Academy of Sciences
    • The University of Texas at Dallas
    • Tsinghua University
    • University of Illinois at Chicago

    Research output: Contribution to journal › Article › Scientific › peer-review

    Abstract

    Synthetic biology requires efficient systems that support the well-coordinated co-expression of multiple genes. Here, we discover a 9-bp nucleotide sequence that enables efficient polycistronic gene expression in yeasts and filamentous fungi. Coupling polycistronic expression to multiplexed, markerless, CRISPR/Cas9-based genome editing, we develop a strategy termed HACKing (Highly efficient and Accessible system by CracKing genes into the genome) for the assembly of multigene pathways. HACKing allows the expression level of each enzyme to be precalibrated by linking their translation to those of host proteins with predetermined abundances under the desired fermentation conditions. We validate HACKing by rapidly constructing highly efficient Saccharomyces cerevisiae cell factories that express 13 biosynthetic genes, and produce model endogenous (1,090.41 ± 80.92 mg L−1 squalene) or heterologous (1.04 ± 0.02 mg L−1 mogrol) terpenoid products. Thus, HACKing addresses the need of synthetic biology for predictability, simplicity, scalability, and speed upon fungal pathway engineering for valuable metabolites.

    Original languageEnglish
    Article number4267
    Number of pages10
    JournalNature Communications
    Volume14
    Issue number1
    Early online date17 Jul 2023
    DOIs
    Publication statusPublished - 17 Jul 2023
    MoE publication typeA1 Journal article-refereed

    Funding

    This work was supported by the National Key Research and Development Program of China (2018YFA0901800 to S.S., Y.X., C.L., J.M., Y.Q., and W.S.), the National Natural Science Foundation of China (22277137 and 32070053 to Y.X., 22278024 to S.S.), Tianjin Synthetic Biotechnology Innovation Capacity Improvement Project (TSBICIP-KJGG-009 to S.S. and Q.Y.), the Beijing Advanced Innovation Center for Soft Matter Science and Engineering (to S.S. and Z.L.), VTT Technical Research Centre of Finland (to I.M.), the Agricultural Science and Technology Innovation Program of the Chinese Academy of Agricultural Sciences (CAAS-ZDRW202308 to Y.X. and Q.Y.), and the Central Public-Interest Scientific Institution Basal Research Fund (to Y.X. and L.Z.).

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