The ensemble of gene regulatory networks at mutation-selection balance

Chia-Hung Yang; Samuel V. Scarpino

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The ensemble of gene regulatory networks at mutation-selection balance

机译：The ensemble of gene regulatory networks at mutation-selection balance

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摘要

The evolution of diverse phenotypes both involves and is constrained by molecular interaction networks. When these networks influence patterns of expression, we refer to them as gene regulatory networks (GRNs). Here, we develop a model of GRN evolution analogous to work from quasi-species theory, which is itself essentially the mutation-selection balance model from classical population genetics extended to multiple loci. With this GRN model, we prove that-across a broad spectrum of selection pressures-the dynamics converge to a stationary distribution over GRNs. Next, we show from first principles how the frequency of GRNs at equilibrium is related to the topologyof the genotype network, in particular, via a specific network cen-trality measure termed the eigenvector centrality. Finally, we determine the structural characteristics of GRNs that are favoured in response to a range of selective environments and mutational constraints. Our work connects GRN evolution to quasi-species theory-and thus to classical populations genetics-providing a mechanistic explanation for the observed distribution of GRNs evolving in response to various evolutionary forces, and shows how complex fitness landscapes can emerge from simple evolutionary rules.

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《Journal of the Royal Society Interface》 |2023年第198期|共13页
作者
Chia-Hung Yang; Samuel V. Scarpino;
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作者单位

Network Science Institute, 2Institute for Experiential AI, 3Department of Health Sciences, 4Khoury College of Computer Sciences, and 5Roux Institute, Northeastern University, Boston, MA, USA;

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原文格式 PDF
正文语种英语
中图分类生物科学;
关键词
gene regulatory networks; quasi-species theory; mutation-selection balance; neutral network;

The ensemble of gene regulatory networks at mutation-selection balance

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