Deterministic models to decipher the lag phase duration during diauxie - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Access content directly
Conference Papers Year : 2022

Deterministic models to decipher the lag phase duration during diauxie

Abstract

The deterministic model developed by Graham et al. [2020], which is the approximation in large population of a stochastic model, allowed the authors to propose a 'macroscopic description' of metabolic heterogeneity of Escherichia coli growing on glucose and xylose. However, these models did not include any mechanistic model to explain the variations of the duration of the 'lag-phase' observed when the glucose is exhausted and before the xylose is being consumed. Here, we propose a deterministic mechanistic model to explain how E. coli switches its consumption of a sugar to another one depending on the dynamic of intracellular XylR molecules. The model is developed and investigated numerically. It reveals some important observability issues.
Fichier principal
Vignette du fichier
2022-mathmod-JANUS.pdf (546.74 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-03610317 , version 1 (16-03-2022)

Licence

Attribution - NonCommercial - NoDerivatives

Identifiers

Cite

Florian Dupeuble, Alain Rapaport, Thomas Guilmeau, Josué Tchouanti, Brice Enjalbert, et al.. Deterministic models to decipher the lag phase duration during diauxie. 10th Vienna International Conference on Mathematical Modelling (MATHMOD), Jul 2022, Vienna, Austria. pp.481-486, ⟨10.1016/j.ifacol.2022.09.141⟩. ⟨hal-03610317⟩
99 View
62 Download

Altmetric

Share

Gmail Facebook X LinkedIn More