Network topology and the evolution of dynamics in an artificial genetic regulatory network model created by whole genome duplication and divergence.
Topological measures of large-scale complex networks are applied to a specific artificial regulatory network model created through a whole genome duplication and divergence mechanism. This class of networks share topological features with natural transcriptional regulatory networks. Specifically, these networks display scale-free and small-world topology and possess subgraph distributions similar to those of natural networks. Thus, the topologies inherent in natural networks may be in part due to their method of creation rather than being exclusively shaped by subsequent evolution under selection. The evolvability of the dynamics of these networks is also examined by evolving networks in simulation to obtain three simple types of output dynamics. The networks obtained from this process show a wide variety of topologies and numbers of genes indicating that it is relatively easy to evolve these classes of dynamics in this model.
Dwight Kuo
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P
Department of Computer Science, Memorial University of Newfoundland, St John's, NL, Canada. kuo@cs.mun.ca
Banzhaf
Wolfgang
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Leier
André
A
D019295:Computational Biology; D019143:Evolution, Molecular; D020440:Gene Duplication; D053263:Gene Regulatory Networks / Q000235:genetics*; D016678:Genome / Q000235:genetics*; D008957:Models, Genetic; D009154:Mutation / Q000235:genetics; D011506:Proteins / Q000235:genetics; D012441:Saccharomyces cerevisiae / Q000235:genetics; D014158:Transcription, Genetic / Q000235:genetics
D011506:Proteins