Biology – Quantitative Biology – Molecular Networks
Scientific paper
2008-04-30
Biology
Quantitative Biology
Molecular Networks
7 pages, 7 figures. Submitted to the "8th German Workshop on Artificial Life (GWAL 8)"
Scientific paper
Genetic regulation is a key component in development, but a clear understanding of the structure and dynamics of genetic networks is not yet at hand. In this work we investigate these properties within an artificial genome model originally introduced by Reil. We analyze statistical properties of randomly generated genomes both on the sequence- and network level, and show that this model correctly predicts the frequency of genes in genomes as found in experimental data. Using an evolutionary algorithm based on stabilizing selection for a phenotype, we show that robustness against single base mutations, as well as against random changes in initial network states that mimic stochastic fluctuations in environmental conditions, can emerge in parallel. Evolved genomes exhibit characteristic patterns on both sequence and network level.
Rohlf Thimo
Winkler Chris
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