Feng Taotao, Yu Hongwei, Ye Lidan
Zhejiang Key Laboratory of Smart Biomaterials, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310058, China.
Institute of Bioengineering, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310058, China.
Chem Bio Eng. 2025 May 29;2(7):409-422. doi: 10.1021/cbe.5c00021. eCollection 2025 Jul 24.
Oxidative stress, driven by the accumulation of reactive oxygen species (ROS), poses a significant challenge to the productivity and robustness of in industrial applications. This review provides an overview of oxidative stress mechanisms, focusing on transcription factors (Yap1p, Skn7p, Msn2/4p) and their regulation through different stress signaling pathways such as HOG, CWI, TOR, and cAMP/PKA. Advanced strategies for enhancing oxidative stress resistance are discussed, including antioxidant enzyme overexpression, redox cofactor optimization, transcription factor modulation, and promoter engineering. Emerging tools like omics-guided gene discovery, biosensor-based feedback regulation, and machine learning-driven optimization are highlighted as promising approaches for constructing robust yeast cell factories. These insights pave the way for intelligent strain design to improve industrial performance under oxidative stress conditions.
由活性氧(ROS)积累驱动的氧化应激对工业应用中酵母的生产力和稳健性构成了重大挑战。本综述概述了氧化应激机制,重点关注转录因子(Yap1p、Skn7p、Msn2/4p)及其通过不同应激信号通路(如HOG、CWI、TOR和cAMP/PKA)的调控。讨论了增强氧化应激抗性的先进策略,包括抗氧化酶的过表达、氧化还原辅因子的优化、转录因子的调节和启动子工程。像组学引导的基因发现、基于生物传感器的反馈调节和机器学习驱动的优化等新兴工具被强调为构建稳健酵母细胞工厂的有前景的方法。这些见解为智能菌株设计铺平了道路,以改善氧化应激条件下的工业性能。