Skip to main content

Research Repository

Advanced Search

Adapting OptCouple to identify strategies with increased product yields in community cohorts of E. coli

Twycross, Jamie; Pearcy, Nicole

Adapting OptCouple to identify strategies with increased product yields in community cohorts of E. coli Thumbnail


Authors

Nicole Pearcy



Abstract

Microbes as chemical factories provide an alternative sustainable approach for producing platform chemicals. Until recently, most efforts have involved engineering heterologous pathways into a single microbial chassis to maximise its production of a target chemical. More recently, cohorts of microbes have been used to engineer microbial communities to achieve higher yields than acheived in single chassis. In this paper, we present a computational approach to identify sets of metabolic modifications that create stable co-dependent communities of micro-organisms and improve the chemical yield of these communities. We demostrate our approach by designing communities which produce industrially relevant platform chemicals. We show that our approach is able to uncover metabolic engineering strategies for coupling these target chemicals to the growth of stable community cohorts.

Citation

Twycross, J., & Pearcy, N. (2025). Adapting OptCouple to identify strategies with increased product yields in community cohorts of E. coli. Metabolites, 15(5: Comprehensive Insights into Metabolic Pathways: Genome-Scale Modeling Techniques), Article 309. https://doi.org/10.3390/metabo15050309

Journal Article Type Article
Acceptance Date Apr 29, 2025
Online Publication Date May 6, 2025
Publication Date May 6, 2025
Deposit Date Apr 29, 2025
Publicly Available Date Apr 30, 2025
Journal Metabolites
Electronic ISSN 2218-1989
Publisher MDPI
Peer Reviewed Peer Reviewed
Volume 15
Issue 5: Comprehensive Insights into Metabolic Pathways: Genome-Scale Modeling Techniques
Article Number 309
DOI https://doi.org/10.3390/metabo15050309
Keywords OptCouple; community microbial designs; multi-directional dependent models; guaranteed product yields
Public URL https://nottingham-repository.worktribe.com/output/48354924
Publisher URL https://www.mdpi.com/2218-1989/15/5/309

Files






You might also like



Downloadable Citations