Network topology and the evolution of dynamics in an artificial genetic regulatory network model created by whole genome duplication and divergence
Network topology and the evolution of dynamics in an artificial genetic regulatory network model created by whole genome duplication and divergence
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DOI：
10.1016/j.biosystems.2006.01.004
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发表时间：
2006-09-01
期刊：
影响因子：
1.6
通讯作者：
Leier, Andre
中科院分区：
文献类型：
--
作者：
Kuo, P. Dwight;Banzhaf, Wolfgang;Leier, Andre
将大规模复杂网络的拓扑度量应用于通过全基因组复制和趋异机制创建的特定人工调控网络模型。这类网络与自然转录调控网络共享拓扑特征。具体来说，这些网络显示无标度和小世界拓扑结构，并具有类似于自然网络的子图分布。因此，自然网络中固有的拓扑结构可能部分是由于它们的创建方法，而不是完全由随后的进化下selection.Evolvability这些网络的动态也研究了不断发展的网络模拟，以获得三个简单类型的输出动态。从这个过程中获得的网络显示出各种各样的拓扑结构和基因数量，表明在这个模型中进化这些动态类别相对容易。(c)2006爱思唯尔爱尔兰有限公司保留所有权利。
Topological measures of large-scale complex networks are applied to a specific artificial regulatory network model created through a whole genome duplication and divergence mechanism. This class of networks share topological features with natural transcriptional regulatory networks. Specifically, these networks display scale-free and small-world topology and possess subgraph distributions similar to those of natural networks. Thus, the topologies inherent in natural networks may be in part due to their method of creation rather than being exclusively shaped by subsequent evolution under selection.The evolvability of the dynamics of these networks is also examined by evolving networks in simulation to obtain three simple types of output dynamics. The networks obtained from this process show a wide variety of topologies and numbers of genes indicating that it is relatively easy to evolve these classes of dynamics in this model. (c) 2006 Elsevier Ireland Ltd. All rights reserved.