Enabling technology and core theory of synthetic biology.

Journal: Science China. Life sciences
Published Date: Feb 6, 2023

Abstract

Synthetic biology provides a new paradigm for life science research ("build to learn") and opens the future journey of biotechnology ("build to use"). Here, we discuss advances of various principles and technologies in the mainstream of the enabling technology of synthetic biology, including synthesis and assembly of a genome, DNA storage, gene editing, molecular evolution and de novo design of function proteins, cell and gene circuit engineering, cell-free synthetic biology, artificial intelligence (AI)-aided synthetic biology, as well as biofoundries. We also introduce the concept of quantitative synthetic biology, which is guiding synthetic biology towards increased accuracy and predictability or the real rational design. We conclude that synthetic biology will establish its disciplinary system with the iterative development of enabling technologies and the maturity of the core theory.

Authors

  • Xian-En Zhang
    Faculty of Synthetic Biology, Shenzhen Institute of Advanced Technology, Shenzhen, 518055, China. zhangxe@ibp.ac.cn.
  • Chenli Liu
    Faculty of Synthetic Biology, Shenzhen Institute of Advanced Technology, Shenzhen, 518055, China. chenli.liu@siat.ac.cn.
  • Junbiao Dai
    Center for Synthetic & Systems Biology, School of Life Sciences, Tsinghua University, Beijing, China; Center for Synthetic Genomics, Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China. Electronic address: junbiao.dai@siat.ac.cn.
  • Yingjin Yuan
    Frontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, China. yjyuan@tju.edu.cn.
  • Caixia Gao
    State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China. cxgao@genetics.ac.cn.
  • Yan Feng
    Clinical Pharmacology and Pharmacometrics, Bristol-Myers Squibb, Lawrenceville, New Jersey, USA.
  • Bian Wu
  • Ping Wei
    Sichuan Center for Translational Medicine of Traditional Chinese Medicine, State Key Laboratory of Quality Evaluation of Traditional Chinese Medicine, Sichuan Geoherbs System Engineering Technology Research Center of Chinese Medicine, Sichuan Provincial Key Laboratory of Quality Evaluation of Traditional Chinese Medicine and Innovative Chinese Medicine Research, Institute of Translational Pharmacology of Sichuan Academy of Chinese Medicine Sciences, Chengdu, China.
  • Chun You
    Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin, 300308, China. you_c@tib.cas.cn.
  • Xiaowo Wang
    Ministry of Education Key Laboratory of Bioinformatics; Center for Synthetic and Systems Biology; Bioinformatics Division, Beijing National Research Center for Information Science and Technology; Department of Automation, Tsinghua University, Beijing 100084, China.
  • Tong Si
    Faculty of Synthetic Biology, Shenzhen Institute of Advanced Technology, Shenzhen, 518055, China. tong.si@siat.ac.cn.

Keywords

External Resources

Popular Topics
Recent Journals