Cargando…
Dynamic control in metabolic engineering: Theories, tools, and applications
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 engineerin...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8015268/ https://www.ncbi.nlm.nih.gov/pubmed/32927059 http://dx.doi.org/10.1016/j.ymben.2020.08.015 |
_version_ | 1783673643519180800 |
---|---|
author | Hartline, Christopher J. Schmitz, Alexander C. Han, Yichao Zhang, Fuzhong |
author_facet | Hartline, Christopher J. Schmitz, Alexander C. Han, Yichao Zhang, Fuzhong |
author_sort | Hartline, Christopher J. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8015268 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-80152682021-04-01 Dynamic control in metabolic engineering: Theories, tools, and applications Hartline, Christopher J. Schmitz, Alexander C. Han, Yichao Zhang, Fuzhong Metab Eng Article 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. 2020-09-11 2021-01 /pmc/articles/PMC8015268/ /pubmed/32927059 http://dx.doi.org/10.1016/j.ymben.2020.08.015 Text en This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Hartline, Christopher J. Schmitz, Alexander C. Han, Yichao Zhang, Fuzhong Dynamic control in metabolic engineering: Theories, tools, and applications |
title | Dynamic control in metabolic engineering: Theories, tools, and applications |
title_full | Dynamic control in metabolic engineering: Theories, tools, and applications |
title_fullStr | Dynamic control in metabolic engineering: Theories, tools, and applications |
title_full_unstemmed | Dynamic control in metabolic engineering: Theories, tools, and applications |
title_short | Dynamic control in metabolic engineering: Theories, tools, and applications |
title_sort | dynamic control in metabolic engineering: theories, tools, and applications |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8015268/ https://www.ncbi.nlm.nih.gov/pubmed/32927059 http://dx.doi.org/10.1016/j.ymben.2020.08.015 |
work_keys_str_mv | AT hartlinechristopherj dynamiccontrolinmetabolicengineeringtheoriestoolsandapplications AT schmitzalexanderc dynamiccontrolinmetabolicengineeringtheoriestoolsandapplications AT hanyichao dynamiccontrolinmetabolicengineeringtheoriestoolsandapplications AT zhangfuzhong dynamiccontrolinmetabolicengineeringtheoriestoolsandapplications |