CIESC Journal ›› 2023, Vol. 74 ›› Issue (1): 1-13.DOI: 10.11949/0438-1157.20221322

• Reviews and monographs • Previous Articles     Next Articles

Progress for green chemicals production by microbial manufacturing

Haoran BI(), Yang ZHANG, Kai WANG, Chenchen XU, Yiying HUO, Biqiang CHEN, Tianwei TAN()   

  1. College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China
  • Received:2022-10-08 Revised:2022-11-22 Online:2023-03-20 Published:2023-01-05
  • Contact: Tianwei TAN

微生物制造绿色化学品研究进展

毕浩然(), 张洋, 王凯, 徐晨晨, 霍奕影, 陈必强, 谭天伟()   

  1. 北京化工大学生命科学与技术学院,北京 100029
  • 通讯作者: 谭天伟
  • 作者简介:毕浩然(1994—),男,博士研究生,bhr0720@163.com
  • 基金资助:
    国家重点研发计划项目(2021YFC2103500)

Abstract:

Microbial manufacturing uses renewable raw materials such as biomass and carbon dioxide for green production of chemicals, which shows a huge potential for reducing carbon dioxide emissions and is an important way to promote the goal of “carbon neutrality”. One of its core contents is the high-efficiency microbial cell factory design and construction. The research progress of metabolic flow analysis and metabolic pathway prediction based on genome-scale metabolic network model is reviewed. Novel genome editing tools are introduced to facilitate the efficient development of microbial cell factories and metabolic regulation strategies are summarized to enhance the productivity of microbial cell factories. In addition, the application of key microbial manufacturing technologies in third-generation manufacturing is outlined. Finally, the future applications and development directions of microbial manufacturing in chemical production are foreseen.

Key words: microbial manufacturing, metabolic network model, genome editing, metabolic regulation, microbial utilization

摘要:

微生物制造利用生物质和二氧化碳等可再生原料进行化学品的绿色生产,显示出了巨大的二氧化碳减排潜力,是促进实现“碳中和”目标的重要途径,其核心内容之一是高效微生物细胞工厂的设计与构建。综述了基于基因组规模代谢网络模型的代谢流分析和代谢途径预测研究进展;介绍了新型基因组编辑工具助力微生物细胞工厂的高效开发;总结了代谢调控策略用于提升细胞工厂生产能力。此外,还概述了微生物制造关键技术在第三代生物制造中的应用。最后,展望了未来微生物制造在化学品生产中的应用和发展方向。

关键词: 微生物制造, 代谢网络模型, 基因组编辑, 代谢调控, 微生物利用

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