Math. Model. Nat. Phenom.
Volume 3, Number 2, 2008Gene network regulation
|Page(s)||27 - 66|
|Published online||22 October 2008|
Modelling Evolution of Regulatory Networks in Artificial Bacteria
LIRIS CNRS UMR5205, INSA-Lyon, Université de Lyon, 69621 Villeurbanne, France
2 Institut Rhône-Alpin des Systèmes Complexes (IXXI), Lyon, France
3 DATSI, Universidad Politécnicia de Madrid, 28660 Madrid, Spain
Corresponding author: email@example.com
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.
Mathematics Subject Classification: 9204 / 92D10 / 92D15
Key words: evolution / regulatory networks / modelling / motifs / adaptation mechanisms
© EDP Sciences, 2008
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.