Tan Wenwen, Tong Shengkun, Gao Yaojie, Wang Jing, Zhang Jingyu, Xie Zhiping, Dai Huanqin, Liang Yu, Tan Gao-Yi, Zhang Lixin, Tong Yaojun
State Key Laboratory of Bioreactor Engineering, School of Biotechnology, East China University of Science and Technology, Shanghai 200237, China; State Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic and Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China.
State Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic and Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China.
Bioresour Technol. 2025 Nov;436:133027. doi: 10.1016/j.biortech.2025.133027. Epub 2025 Jul 22.
Spatial compartmentalization in eukaryotic cell factories often constrains the efficiency of metabolic pathways. Here, we systematically mapped the subcellular localization of nine core enzymes in the α-santalene biosynthetic pathway of Saccharomyces cerevisiae, identifying metabolic bottlenecks associated with nuclear and endoplasmic reticulum (ER) localization. Through rational spatial engineering, including bioinformatically guided HMG1 truncation to achieve ER release and nuclear export signal (NES) tagging of key enzymes, we successfully rewired enzyme localization to enhance pathway flux. Coupled with promoter engineering to downregulate ERG9, addition-copy integration for IDI1 and ERG20 overexpression, and targeted medium optimization to improve cellular osmotolerance, we achieved substantial synergistic effects on production, leading to a 132-fold increase in α-santalene titer, reaching 568.59 mg/L in fed-batch fermentation. Our results demonstrate that combining subcellular localization engineering with classic metabolic and process optimization offers a robust and generalizable strategy for high-level terpenoid biosynthesis in S. cerevisiae. This approach not only advances the performance of S. cerevisiae cell factories but also holds promise for broader application across other yeast species and eukaryotic microbial hosts.
真核细胞工厂中的空间区室化常常限制代谢途径的效率。在此,我们系统地绘制了酿酒酵母α-檀香烯生物合成途径中九种核心酶的亚细胞定位,确定了与细胞核和内质网(ER)定位相关的代谢瓶颈。通过合理的空间工程,包括生物信息学指导的HMG1截短以实现内质网释放和关键酶的核输出信号(NES)标记,我们成功地重新布线酶定位以增强途径通量。结合启动子工程以下调ERG9、IDI1和ERG20过表达的附加拷贝整合以及靶向培养基优化以提高细胞渗透压耐受性,我们在产量上实现了显著的协同效应,导致α-檀香烯滴度增加132倍,在补料分批发酵中达到568.59 mg/L。我们的结果表明,将亚细胞定位工程与经典代谢和工艺优化相结合为酿酒酵母中高水平萜类生物合成提供了一种强大且可推广的策略。这种方法不仅提高了酿酒酵母细胞工厂的性能,而且有望在其他酵母物种和真核微生物宿主中得到更广泛的应用。