Robustness and evolvability of multilayer gene regulatory networks

Hyobin Kim, Hiroki Sayama

研究成果: Paper

抜粋

We present multilayer gene regulatory networks (GRNs) consisting of an intercellular layer and an intracellular layer. A network in an intercellular layer represents interactions between cells, and a network in an intracellular layer indicates interactions between genes. All the nodes of an intercellular network have identical random Boolean networks (RBNs) as intracellular GRNs. We introduce genetic perturbations (e.g., mutations) to the intracellular GRNs. Varying the properties of the intracellular GRNs from ordered, through critical, to chaotic regimes, we investigate how criticality of GRNs affects the robustness and evolvability of multilayer GRNs against the genetic perturbations. We found that the robust and evolvable multilayer GRNs were generated with the highest probability when intracellular GRNs were critical. Based on our findings, we conclude that the criticality of GRNs plays an important role in determining the robustness and evolvability of multilayer GRNs at a hierarchical level.

元の言語English
ページ546-547
ページ数2
出版物ステータスPublished - 2020
外部発表Yes
イベント2018 Conference on Artificial Life: Beyond AI, ALIFE 2018 - Tokyo, Japan
継続期間: 2018 7 232018 7 27

Conference

Conference2018 Conference on Artificial Life: Beyond AI, ALIFE 2018
Japan
Tokyo
期間18/7/2318/7/27

ASJC Scopus subject areas

  • Modelling and Simulation

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  • これを引用

    Kim, H., & Sayama, H. (2020). Robustness and evolvability of multilayer gene regulatory networks. 546-547. 論文発表場所 2018 Conference on Artificial Life: Beyond AI, ALIFE 2018, Tokyo, Japan.