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本文引用的文献

1
Statistical mechanics of community detection.社区检测的统计力学
Phys Rev E Stat Nonlin Soft Matter Phys. 2006 Jul;74(1 Pt 2):016110. doi: 10.1103/PhysRevE.74.016110. Epub 2006 Jul 18.
2
Are network motifs the spandrels of cellular complexity?网络基序是细胞复杂性的附带现象吗?
Trends Ecol Evol. 2006 Aug;21(8):419-22. doi: 10.1016/j.tree.2006.05.013. Epub 2006 Jun 9.
3
Modularity and community structure in networks.网络中的模块化与群落结构。
Proc Natl Acad Sci U S A. 2006 Jun 6;103(23):8577-82. doi: 10.1073/pnas.0601602103. Epub 2006 May 24.
4
Network topology and the evolution of dynamics in an artificial genetic regulatory network model created by whole genome duplication and divergence.全基因组复制和分化产生的人工遗传调控网络模型中的网络拓扑与动力学演化
Biosystems. 2006 Sep;85(3):177-200. doi: 10.1016/j.biosystems.2006.01.004. Epub 2006 May 2.
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Network growth models and genetic regulatory networks.网络生长模型与基因调控网络。
Phys Rev E Stat Nonlin Soft Matter Phys. 2006 Mar;73(3 Pt 1):031912. doi: 10.1103/PhysRevE.73.031912. Epub 2006 Mar 14.
6
Topology of biological networks and reliability of information processing.生物网络的拓扑结构与信息处理的可靠性
Proc Natl Acad Sci U S A. 2005 Dec 20;102(51):18414-9. doi: 10.1073/pnas.0509132102. Epub 2005 Dec 8.
7
Topology, tinkering and evolution of the human transcription factor network.人类转录因子网络的拓扑结构、修补与进化
FEBS J. 2005 Dec;272(24):6423-34. doi: 10.1111/j.1742-4658.2005.05041.x.
8
Network motifs in computational graphs: a case study in software architecture.计算图中的网络基序:以软件架构为例的研究
Phys Rev E Stat Nonlin Soft Matter Phys. 2005 Aug;72(2 Pt 2):026107. doi: 10.1103/PhysRevE.72.026107. Epub 2005 Aug 8.
9
Spontaneous evolution of modularity and network motifs.模块化与网络基序的自发演化。
Proc Natl Acad Sci U S A. 2005 Sep 27;102(39):13773-8. doi: 10.1073/pnas.0503610102. Epub 2005 Sep 20.
10
Duplication-divergence model of protein interaction network.蛋白质相互作用网络的复制-分化模型
Phys Rev E Stat Nonlin Soft Matter Phys. 2005 Jun;71(6 Pt 1):061911. doi: 10.1103/PhysRevE.71.061911. Epub 2005 Jun 22.

细胞网络中模块化的自发出现。

Spontaneous emergence of modularity in cellular networks.

作者信息

Solé Ricard V, Valverde Sergi

机构信息

Complex Systems Lab, ICREA-UPF, Dr Aiguader 88, 08003 Barcelona, Spain.

出版信息

J R Soc Interface. 2008 Jan 6;5(18):129-33. doi: 10.1098/rsif.2007.1108.

DOI:10.1098/rsif.2007.1108
PMID:17626003
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2605507/
Abstract

Modularity is known to be one of the most relevant characteristics of biological systems and appears to be present at multiple scales. Given its adaptive potential, it is often assumed to be the target of selective pressures. Under such interpretation, selection would be actively favouring the formation of modular structures, which would specialize in different functions. Here we show that, within the context of cellular networks, no such selection pressure is needed to obtain modularity. Instead, the intrinsic dynamics of network growth by duplication and diversification is able to generate it for free and explain the statistical features exhibited by small subgraphs. The implications for the evolution and evolvability of both biological and technological systems are discussed.

摘要

模块化是生物系统最相关的特征之一,且似乎存在于多个尺度。鉴于其适应潜力,人们通常认为它是选择压力的目标。在这种解释下,选择会积极促进模块化结构的形成,这些结构将专门执行不同的功能。在这里我们表明,在细胞网络的背景下,获得模块化不需要这样的选择压力。相反,通过复制和多样化实现的网络增长的内在动力学能够免费生成模块化,并解释小子图所展现的统计特征。本文还讨论了这对生物和技术系统的进化及演化能力的影响。