Emergent Subpopulation Behavior Uncovered with a Community Dynamic Metabolic Model of Escherichia coli Diauxic Growth
Abstract
Escherichia coli diauxie is a fundamental example of metabolic adaptation, a phenomenon that is not yet completely understood. Further insight into this process can be achieved by integrating experimental and computational modeling methods. We present a dynamic metabolic modeling approach that captures diauxie as an emergent property of subpopulation dynamics in E. coli monocultures. Without fine-tuning the parameters of the E. coli core metabolic model, we achieved good agreement with published data. Our results suggest that single-organism metabolic models can only approximate the average metabolic state of a population, therefore offering a new perspective on the use of such modeling approaches. The open source modeling framework that we provide can be applied to model general subpopulation systems in more-complex environments and can be extended to include single-cell-level stochasticity.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Feb 26, 2019
- Source ID
- 10.1128/msystems.00230-18
Entities
People
- Antonella Succurro
- Daniel Segrè
- Oliver Ebenhöh
Organizations
- Boston University
- Cluster of Excellence on Plant Sciences
- European Commission
- German Research Foundation
- Human Frontier Science Program
- National Institutes of Health
- National Science Foundation
- United States Department of Defense
- United States Department of Energy
- University of Cologne
- University of Düsseldorf