title: Emergent criticality from coevolution in random Boolean networks.
abstract: The coevolution of network topology and dynamics is studied in an evolutionary Boolean network model that is a simple model of a gene regulatory network. We find that a critical state emerges spontaneously resulting from the interplay between topology and dynamics during the evolution. The final evolved state is shown to be independent of initial conditions. The network appears to be driven to a random Boolean network with uniform in-degree of 2 in the large-network limit. However, for biologically realized network sizes, significant finite-size effects are observed including a broad in-degree distribution and an average in-degree connections between 2 and 3. These results may be important for explaining the properties of gene regulatory networks.
authors.affiliation: Department of Physics, University of Houston, Houston, Texas 77204-5005, USA. mliu3@uh.edu
authors.forename: Min
authors.initials: M
authors.lastname: Liu
authors.forename: Kevin E
authors.initials: KE
authors.lastname: Bassler
mesh_terms: D002468:Cell Physiological Phenomena; D003198:Computer Simulation; D019143:Evolution, Molecular; D005786:Gene Expression Regulation / Q000502:physiology*; D016015:Logistic Models; D008954:Models, Biological; D015233:Models, Statistical; D015398:Signal Transduction / Q000502:physiology*; D014157:Transcription Factors / Q000378:metabolism*
chemical_list: D014157:Transcription Factors