arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 0804.4714q-bio.MNcond-mat.dis-nncs.NEq-bio.GNq-bio.PE

Network Structure and Dynamics, and Emergence of Robustness by Stabilizing Selection in an Artificial Genome

Thimo Rohlf, Chris Winkler

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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