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Emergence of behaviour in a self-organized living matter network
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 morphologica...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8782570/ https://www.ncbi.nlm.nih.gov/pubmed/35060901 http://dx.doi.org/10.7554/eLife.62863 |
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author | Fleig, Philipp Kramar, Mirna Wilczek, Michael Alim, Karen |
author_facet | Fleig, Philipp Kramar, Mirna Wilczek, Michael Alim, Karen |
author_sort | Fleig, Philipp |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8782570 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-87825702022-01-24 Emergence of behaviour in a self-organized living matter network Fleig, Philipp Kramar, Mirna Wilczek, Michael Alim, Karen eLife Physics of Living Systems 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. eLife Sciences Publications, Ltd 2022-01-21 /pmc/articles/PMC8782570/ /pubmed/35060901 http://dx.doi.org/10.7554/eLife.62863 Text en © 2022, Fleig et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Physics of Living Systems Fleig, Philipp Kramar, Mirna Wilczek, Michael Alim, Karen Emergence of behaviour in a self-organized living matter network |
title | Emergence of behaviour in a self-organized living matter network |
title_full | Emergence of behaviour in a self-organized living matter network |
title_fullStr | Emergence of behaviour in a self-organized living matter network |
title_full_unstemmed | Emergence of behaviour in a self-organized living matter network |
title_short | Emergence of behaviour in a self-organized living matter network |
title_sort | emergence of behaviour in a self-organized living matter network |
topic | Physics of Living Systems |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8782570/ https://www.ncbi.nlm.nih.gov/pubmed/35060901 http://dx.doi.org/10.7554/eLife.62863 |
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