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• W2950751688 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." @default.
• W2950751688 created "2019-06-27" @default.
• W2950751688 creator A5026460206 @default.
• W2950751688 creator A5043439049 @default.
• W2950751688 creator A5089923795 @default.
• W2950751688 date "2019-02-26" @default.
• W2950751688 modified "2023-10-17" @default.
• W2950751688 title "Emergent Subpopulation Behavior Uncovered with a Community Dynamic Metabolic Model of <i>Escherichia coli</i> Diauxic Growth" @default.
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• W2950751688 doi "https://doi.org/10.1128/msystems.00230-18" @default.
• W2950751688 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6446979" @default.
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• W2950751688 hasPublicationYear "2019" @default.
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