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Modelling Evolution of Regulatory Networks in Artificial Bacteria

Published online by Cambridge University Press:  22 October 2008

Y. Sanchez-Dehesa
Affiliation:
LIRIS CNRS UMR5205, INSA-Lyon, Université de Lyon, 69621 Villeurbanne, France Institut Rhône-Alpin des Systèmes Complexes (IXXI), Lyon, France
D. Parsons
Affiliation:
LIRIS CNRS UMR5205, INSA-Lyon, Université de Lyon, 69621 Villeurbanne, France
J. M. Peña
Affiliation:
DATSI, Universidad Politécnicia de Madrid, 28660 Madrid, Spain
G. Beslon*
Affiliation:
LIRIS CNRS UMR5205, INSA-Lyon, Université de Lyon, 69621 Villeurbanne, France Institut Rhône-Alpin des Systèmes Complexes (IXXI), Lyon, France
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Abstract

Studying the evolutive and adaptative machanisms of prokayotes is a complicated task. As these machanisms cannot be easily studied "in vivo", it is necessary to consider other methods. We have therefore developed the RAevol model, a model designed to study the evolution of bacteria and their adaptationto the environment. Our model simulates the evolution of a population of artificial bacteria in a changing environment, providing us with an insight into the strategies that digital organisms develop to adapt to new conditions. In this paper we describe the principle and architecture of the model, focusing on the mechanisms of the regulatory networks of artificial organisms. Experiments were conducted on populations of artificial bacteria under conditions of stress. We study the ways in which organisms adapt to environmental changes and examine the strategies they adopt. An analysis of these adaptation strategies is presented and a brief overview was proposed concerning the patterns and topological characteristics of the evolved regulatory networks.

Type
Research Article
Copyright
© EDP Sciences, 2008

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