流动模式提供了绒泡菌网络蠕动的量化

IF 1.9 3区 环境科学与生态学 Q3 ECOLOGY Fungal Ecology Pub Date : 2023-10-01 DOI:10.1016/j.funeco.2023.101283
Ryan Wilkinson , Matthew Koziol , Karen Alim , Marcus Roper
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引用次数: 0

摘要

多头绒泡菌是一种觅食、形成网络的生物,以其在不使用复杂神经系统的情况下做出复杂决策和保持对过去刺激的记忆的能力而闻名。网络内的自组织蠕动流在整个生物体内运输营养物质,并启动运动和形态变化。因此,理解多头假单胞菌改变行为的能力的关键一步是形成这种蠕动流的描述符。在这里,我们开发了一种基于网络的动态方法,用于从多头假单胞菌的视频中描述整个生物体内的管收缩模式。我们的工具根据给定网络的几何形状和拓扑结构,提供了对给定网络内可能发生的管收缩全局模式多样性的可靠读数,并灵敏地识别全局蠕动模式何时出现和消失。
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Flow modes provide a quantification of Physarum network peristalsis

Physarum polycephalum is a foraging, network-forming organism known for its ability to make complex decisions and maintain memory of past stimuli without use of a complex nervous system. Self-organized peristaltic flows within the network transport nutrients throughout the organism and initiate locomotion and morphological changes. A key step in understanding P. polycephalum's ability to change behavior is therefore forming descriptors of this peristaltic flow. Here, we develop a dynamic network-based method for describing organism-wide patterns of tube contractions from videos of P. polycephalum. Our tool provides robust readouts of the diversity of global modes of tube contraction that could occur within a given network, based on its geometry and topology, and sensitively identifies when global peristaltic patterns emerge and dissipate.

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来源期刊
Fungal Ecology
Fungal Ecology 环境科学-生态学
CiteScore
5.80
自引率
3.40%
发文量
51
审稿时长
3 months
期刊介绍: Fungal Ecology publishes investigations into all aspects of fungal ecology, including the following (not exclusive): population dynamics; adaptation; evolution; role in ecosystem functioning, nutrient cycling, decomposition, carbon allocation; ecophysiology; intra- and inter-specific mycelial interactions, fungus-plant (pathogens, mycorrhizas, lichens, endophytes), fungus-invertebrate and fungus-microbe interaction; genomics and (evolutionary) genetics; conservation and biodiversity; remote sensing; bioremediation and biodegradation; quantitative and computational aspects - modelling, indicators, complexity, informatics. The usual prerequisites for publication will be originality, clarity, and significance as relevant to a better understanding of the ecology of fungi.
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