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 | |
【 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 】
Files | Size | Format | View |
---|---|---|---|
RO202201150370664ZK.pdf | 7954KB | download |