期刊论文详细信息
eLife
Emergence of behaviour in a self-organized living matter network
Philipp Fleig1  Michael Wilczek2  Mirna Kramar2  Karen Alim3 
[1] Department of Physics & Astronomy, University of Pennsylvania, Philadelphia, United States;Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany;Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany;Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany;Physik-Department and Center for Protein Assemblies, Technische Universität München, Garching, Germany;
关键词: ethology;    flow network;    unicellular;    self-organisation;    living matter;    Other;   
DOI  :  10.7554/eLife.62863
来源: eLife Sciences Publications, Ltd
PDF
【 摘 要 】

What is the origin of behaviour? Although typically associated with a nervous system, simple organisms also show complex behaviours. Among them, the slime mold Physarum polycephalum, a giant single cell, is ideally suited to study emergence of behaviour. Here, we show how locomotion and morphological adaptation behaviour emerge from self-organized patterns of rhythmic contractions of the actomyosin lining of the tubes making up the network-shaped organism. We quantify the spatio-temporal contraction dynamics by decomposing experimentally recorded contraction patterns into spatial contraction modes. Notably, we find a continuous spectrum of modes, as opposed to a few dominant modes. Our data suggests that the continuous spectrum of modes allows for dynamic transitions between a plethora of specific behaviours with transitions marked by highly irregular contraction states. By mapping specific behaviours to states of active contractions, we provide the basis to understand behaviour’s complexity as a function of biomechanical dynamics.

【 授权许可】

CC BY   

【 预 览 】
附件列表
Files Size Format View
RO202201150370664ZK.pdf 7954KB PDF download
  文献评价指标  
  下载次数:3次 浏览次数:1次