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Two simple growth models in the chemostat

Authors: Gouzé, Jean-Luc; Lemesle, Valérie;

Two simple growth models in the chemostat

Abstract

In a chemostat, transient oscillations are often experimentally observed during cell growth. The aim of this paper is to propose simple autonomous models which are able (or not) to generate these oscillations, and to investigate them analytically. Our point of view is based on a simplification of the cell cycle in which there are two states (mature and immature) with the transfer between the two dependent on the available resources. We built two similar models, one with cell biomass and the other with cell number density. We prove that the first one oscillates, but not the second. This paper is dedicated to Claude Lobry, who helped us to build a first version of these models. On observe parfois des oscillations pendant la croissance de cellules dans un chémostat. Nous proposons ici deux modèles autonomes simples de croissance cellulaire (en dimension trois) basés sur des hypothèses réalistes, structurés en stades (les cellules matures et les cellules immatures) : le premier modèle est écrit en nombre de cellules, et peut présenter des oscillations. Le deuxième modèle est écrit en biomasse, et n’admet pas d’oscillations à cause de la conservation de la masse. Nous étudions les deux modèles. Cet article est dédié à Claude Lobry, qui a participé aux premières étapes de l’écriture des modèles.

Country
France
Keywords

chemostat, oscillations, cell growth, hémostat, [INFO]Computer Science [cs], [MATH] Mathematics [math], [INFO] Computer Science [cs], [MATH]Mathematics [math], croissance cellulaire

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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