4.7 Review

Dynamic control in metabolic engineering: Theories, tools, and applications

Journal

METABOLIC ENGINEERING
Volume 63, Issue -, Pages 126-140

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.ymben.2020.08.015

Keywords

Dynamic metabolic control; Dynamic metabolic engineering; Synthetic biology; Biosensors; Genetic circuits

Funding

  1. National Institute of General Medical Sciences of the National Institutes of Health [R35GM133797]
  2. National Human Genome Research Institute training grant [T32 HG000045]

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Metabolic engineering enables the production of valuable chemicals using microbial organisms, with dynamic metabolic engineering allowing cells to autonomously adjust flux in response to their metabolic state. The review discusses theoretical works, molecular mechanisms, and applications of dynamic control systems in improving metrics in metabolic engineering.
Metabolic engineering has allowed the production of a diverse number of valuable chemicals using microbial organisms. Many biological challenges for improving bio-production exist which limit performance and slow the commercialization of metabolically engineered systems. Dynamic metabolic engineering is a rapidly developing field that seeks to address these challenges through the design of genetically encoded metabolic control systems which allow cells to autonomously adjust their flux in response to their external and internal metabolic state. This review first discusses theoretical works which provide mechanistic insights and design choices for dynamic control systems including two-stage, continuous, and population behavior control strategies. Next, we summarize molecular mechanisms for various sensors and actuators which enable dynamic metabolic control in microbial systems. Finally, important applications of dynamic control to the production of several metabolite products are highlighted, including fatty acids, aromatics, and terpene compounds. Altogether, this review provides a comprehensive overview of the progress, advances, and prospects in the design of dynamic control systems for improved titer, rate, and yield metrics in metabolic engineering.

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