Genetically Programmed Control of Overflow Metabolism

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Authors: Lærke M. Jensen, Andriy Glushchuk, Thilde P. Hjorth, Alvaro R. Lara
Cited by: 1
References: 33

Abstract

Overflow metabolism is a highly undesirable phenomenon that occurs in virtually all cell factories. Although several schemes have been applied to avoid overflow metabolism, this problem remains far from being solved. In this study, a genetic sensor for detecting overflow metabolism was designed, and its substrate specificity and reversibility were demonstrated. The circuit was then used to express the small protein SgrT as an output. SgrT inhibits the main glucose transport system in E. coli, thereby reducing the glucose uptake rate. This strategy eliminated overflow metabolism in batch cultures. Furthermore, overflow metabolism was reduced by 80% when the cells were transiently exposed to excess glucose during fed-batch cultures compared to the control cells. The proposed scheme can be useful for optimizing cellular performance and dealing with heterogeneous conditions typical of large-scale bioreactors.

Fields of Study & Subjects

Viral Infectious Diseases and Gene Expression in Insects Microbial Metabolic Engineering and Bioproduction Gene Regulatory Network Analysis

Publication details

Journal / source
Biotechnology and Bioengineering
Publisher
Wiley
Volume
123
Issue
6
Pages
1624–1633
Publication date
30 March 2026
Language
EN