化工学报 ›› 2020, Vol. 71 ›› Issue (9): 3979-3994.DOI: 10.11949/0438-1157.20200516

• 综述与专论 • 上一篇    下一篇

合成生物系统构建与绿色生物“智”造

秦磊1(),俞杰1,宁小钰1,孙文涛1,李春1,2()   

  1. 1.北京理工大学化学与化工学院化学工程系生物化工研究所,北京 100081
    2.清华大学化学工程系生物化工研究所/工业生物催化教育部重点实验室,北京 100084
  • 收稿日期:2020-05-08 修回日期:2020-06-27 出版日期:2020-09-05 发布日期:2020-09-05
  • 通讯作者: 李春
  • 作者简介:秦磊(1987—),男,博士,qinlei@bit.edu.cn
  • 基金资助:
    国家重点研发计划(2018YFA0901800);国家自然科学基金项目(21736002)

Synthetic biological system construction and green intelligent biological manufacturing

Lei QIN1(),Jie YU1,Xiaoyu NING1,Wentao SUN1,Chun LI1,2()   

  1. 1.Institute of Biochemical Engineering, Department of Chemical Engineering, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing 100081, China.
    2.Key Laboratory for Industrial Biocatalysis, Ministry of Education, Department of Chemical Engineering, Tsinghua University, Beijing 100084, China
  • Received:2020-05-08 Revised:2020-06-27 Online:2020-09-05 Published:2020-09-05
  • Contact: Chun LI

摘要:

微生物细胞工厂生产化学品是解决能源和环境问题的有效方式之一。越来越多的化合物可通过合成生物系统实现在微生物中的合成,但菌株的生产能力和鲁棒性仍需进一步提高。提高细胞工厂的智能化,实现生物“智”造过程,将是解决菌株发酵生产能力不足和鲁棒性差的重要途径。本文从蛋白质设计的智能化、生物传感器的智能化、代谢调控的智能化、菌株进化的智能化以及发酵过程智能化等五个层面对生物“智”造的研究现状进行介绍。生物“智”造的发展将为提高工业生物过程的生产水平和过程节能减排做出重要贡献。

关键词: 生物工程, 分子生物学, 合成生物学, 智能化, 生物制造, 鲁棒性, 生物传感器, 基因线路

Abstract:

The production of chemicals in microbial cell factories is one of the effective ways to solve energy and environmental problems. Many chemical products have been produced by synthetic biology, but production ability and robustness of the strains still needs to been improved. Development of intelligent cell factory and realizing intelligent biological manufacturing is an important approach to improve the production and robustness. This review introduces the research status of intelligent biological manufacturing from five following aspects: protein design, biosensor, metabolism regulation, strain evolution and fermentation process. The development of biological “intelligence” will make an important contribution to improving the production level of industrial biological processes and process energy saving and emission reduction.

Key words: biological engineering, molecular biology, synthetic biology, intelligence, biological manufacturing, robustness, biosensor, genetic circuit

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