On Gene Duplication Models for Evolving Regulatory Networks

Abstract

Background: Duplication of genes is important for evolution of molecular networks. Many authors have therefore considered gene duplication as a driving force in shaping the topology of molecular networks. In particular it has been noted that growth via duplication would act as an implicit way of preferential attachment, and thereby provide the observed broad degree distributions of molecular networks. Results: We extend current models of gene duplication and rewiring by including directions and the fact that molecular networks are not a result of unidirectional growth. We introduce upstream sites and downstream shapes to quantify potential links during duplication and rewiring. We find that this in itself generates the observed scaling of transcription factors for genome sites in procaryotes. The dynamical model can generate a scale-free degree distribution, p(k)∝ 1/k^γ, with exponent γ=1 in the non-growing case, and with γ>1 when the network is growing. Conclusions: We find that duplication of genes followed by substantial recombination of upstream regions could generate main features of genetic regulatory networks. Our steady state degree distribution is however to broad to be consistent with data, thereby suggesting that selective pruning acts as a main additional constraint on duplicated genes. Our analysis shows that gene duplication can only be a main cause for the observed broad degree distributions, if there is also substantial recombinations between upstream regions of genes.

14 pages, 7 figures

References in corpus (4)

• Infinite-Order Percolation and Giant Fluctuations in a Protein Interaction Network
• Duplication-divergence model of protein interaction network
• Network growth models and genetic regulatory networks
• Network Models of Phage-Bacteria Coevolution

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