Dynamic gene expression engineering as a tool in pathway engineering

Xiaolin Shen; Jia Wang; Chenyi Li; Qipeng Yuan; Yajun Yan

doi:10.1016/j.copbio.2019.03.019

Dynamic gene expression engineering as a tool in pathway engineering

Curr Opin Biotechnol. 2019 Oct:59:122-129. doi: 10.1016/j.copbio.2019.03.019. Epub 2019 May 4.

Authors

Xiaolin Shen¹, Jia Wang¹, Chenyi Li², Qipeng Yuan¹, Yajun Yan³

Affiliations

¹ Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China; State Key Laboratory of Chemical Resource Engineering, Beijing University of Chemical Technology, Beijing 100029, China.
² School of Chemical, Materials and Biomedical Engineering, College of Engineering, University of Georgia, Athens, GA 30602, USA.
³ School of Chemical, Materials and Biomedical Engineering, College of Engineering, University of Georgia, Athens, GA 30602, USA. Electronic address: yajunyan@uga.edu.

PMID: 31063878
DOI: 10.1016/j.copbio.2019.03.019

Abstract

Taking inspiration from natural dynamic regulatory mechanisms in microbes, construction of dynamic regulatory networks has recently emerged as a promising strategy for metabolic pathway engineering. Over the past years, a variety of dynamic control systems have been developed to maximize the production by balancing cell growth and product formation. Here, we review the attractive dynamic regulation tools that have been applied in biosynthetic pathway optimization. We particularly put emphasis on the recent successful implementations in pathway engineering by utilization of fermentation parameters-based, metabolites-based and quorum sensing system-based dynamic control networks, and the future challenges in extending the application of those promising dynamic regulation tools in industrial manufacturing.

Publication types

Research Support, Non-U.S. Gov't
Review

MeSH terms

Biosynthetic Pathways
Gene Expression*
Metabolic Engineering*
Metabolic Networks and Pathways
Synthetic Biology*