Dr JAMIE TWYCROSS JAMIE.TWYCROSS@NOTTINGHAM.AC.UK
ASSOCIATE PROFESSOR
Adapting OptCouple to identify strategies with increased product yields in community cohorts of E. coli
Twycross, Jamie; Pearcy, Nicole
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. (in press). Adapting OptCouple to identify strategies with increased product yields in community cohorts of E. coli. Metabolites, Advances in Metabolomics(Comprehensive Insights into Metabolic Pathways: Genome-Scale Modeling Techniques),
Journal Article Type | Article |
---|---|
Acceptance Date | Apr 29, 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 | Advances in Metabolomics |
Issue | Comprehensive Insights into Metabolic Pathways: Genome-Scale Modeling Techniques |
Keywords | OptCouple; community microbial designs; multi-directional dependent models; guaranteed product yields |
Public URL | https://nottingham-repository.worktribe.com/output/48354924 |
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