Motif profile dynamics and transient species in a Boolean model of mutualistic ecological communities
Motif profile dynamics and transient species in a Boolean model of mutualistic ecological communities
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DOI：
10.1093/comnet/cnv008
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发表时间：
2016-03-01
影响因子：
2.1
通讯作者：
Albert, Reka
中科院分区：
文献类型：
--
作者：
Campbell, Colin;Shea, Katriona;Albert, Reka
网络主题通常被研究来表征网络的局部交互模式。在这里，我们将主题轮廓的概念应用于互惠生态群落形成的同步布尔网络模型，重点关注四节点子图。我们考虑网络从随机初始条件动态进展到吸引子（稳态或极限环，在这种情况下统称为稳定社区）的过程。虽然子图不被归类为通常意义上的基序，但我们表明，具有主要稳定（即有利于物种持久性）相互作用的子图通常由吸引子中存在的物种组成。反之亦然：具有主要不稳定（即不利于物种持久性）相互作用的子图更常见地由仅短暂存在于群落中的物种组成。我们在互惠生态网络的背景下讨论我们的发现，并认为动态主题轮廓可能为代表复杂动态系统的其他网络提供有价值的分析工具。
Network motifs are generally studied to characterize the local interaction patterns of networks. Here, we apply the concept of a motif profile to a synchronous Boolean network model of the formation of mutualistic ecological communities, focusing on four-node subgraphs. We consider the process by which networks dynamically progress from a random initial condition to an attractor (steady state or limit cycle, collectively viewed in this context as a stable community). While the subgraphs are not classified as motifs in the usual sense of the term, we show that subgraphs with predominantly stabilizing (i.e. beneficial for species persistence) interactions are generally composed of species that are present in the attractor. The converse also holds: subgraphs with predominantly destabilizing (i.e. detrimental for species persistence) interactions are more commonly composed of species that are present in the community only transiently. We discuss our findings in the context of mutualistic ecological networks, and argue that the dynamic motif profile may provide a valuable analytical tool in other networks representing complex dynamic systems.