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arXiv · 1402.7280

Motif statistics of artificially evolved and biological networks

Burçin Danacı·Mehmet Ali Anıl·Ayşe Erzan
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Abstract

Topological features of gene regulatory networks can be successfully reproduced by a model population evolving under selection for short dynamical attractors. The evolved population of networks exhibit motif statistics, summarized by significance profiles, which closely match those of {\it E. coli, S. cerevsiae} and {\it B. subtilis}, in such features as the excess of linear motifs and feed-forward loops, and deficiency of feedback loops. The slow relaxation to stasis is a hallmark of a rugged fitness landscape, with independently evolving populations exploring distinct valleys strongly differing in network properties.

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Burçin Danacı, Mehmet Ali Anıl, Ayşe Erzan. 2014-06-23. Motif statistics of artificially evolved and biological networks. https://doi.org/10.1103/physreve.89.062719

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