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Optimizing bacterial resource allocation: metabolite production in continuous bioreactors

Agustín Gabriel Yabo 1, 2, 3 Jean-Luc Gouzé 1
1 BIOCORE - Biological control of artificial ecosystems
LOV - Laboratoire d'océanographie de Villefranche, CRISAM - Inria Sophia Antipolis - Méditerranée , INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement
3 McTAO - Mathematics for Control, Transport and Applications
CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : We show preliminary results addressing the problem of resource allocation in bacteria in the continuous bioreactor framework. We propose a coarse-grained self-replicator dynamical model that accounts for the microbial population growth inside a continuous bioreactor, and we study its asymptotic behavior through a dynamical systems analysis approach, in order to provide conditions for the persistence of the bacterial population. We then study the two most relevant cases of steady-state production in this scheme: 1) biomass production, classical in high-tech industrial processes as well as in research environments; and 2) metabolite production through the introduction of a heterologous metabolic pathway. Both problems are explored in terms of the internal allocation control-which can be externally disrupted-and the constant volumetric flow of the bioreactor; and analyzed through a numerical approach. The resulting two-dimensional optimization problem is defined in terms of Michaelis-Menten kinetics using the parameter values of previous works, and taking into account the constraints for the existence of the equilibrium of interest.
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Contributor : Agustin Gabriel Yabo <>
Submitted on : Thursday, November 26, 2020 - 3:50:02 PM
Last modification on : Thursday, January 7, 2021 - 7:24:02 PM


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  • HAL Id : hal-02980429, version 1


Agustín Gabriel Yabo, Jean-Luc Gouzé. Optimizing bacterial resource allocation: metabolite production in continuous bioreactors. IFAC 2020 - 1st Virtual World Congress by the International Federation of Automatic Control, Jul 2020, Berlin / Virtual, Germany. ⟨hal-02980429⟩



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