Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Emergence of behavior in a self-organized living matter network

Philipp Fleig, Mirna Kramar, Michael Wilczek, View ORCID ProfileKaren Alim
doi: https://doi.org/10.1101/2020.09.06.285080
Philipp Fleig
aMax Planck Institute for Dynamics and Self-Organization, 37077 Göttingen, Germany
bDepartment of Physics & Astronomy, University of Pennsylvania, Philadelphia, PA 19104, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Mirna Kramar
aMax Planck Institute for Dynamics and Self-Organization, 37077 Göttingen, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Michael Wilczek
aMax Planck Institute for Dynamics and Self-Organization, 37077 Göttingen, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Karen Alim
aMax Planck Institute for Dynamics and Self-Organization, 37077 Göttingen, Germany
cPhysik-Department, Technische Universität München, 85748 Garching, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Karen Alim
  • For correspondence: k.alim@tum.de
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Abstract

What is the origin of behavior? Although typically associated with a nervous system, simple life forms also show complex behavior – thus serving as a model to study how behaviors emerge. Among them, the slime mold Physarum polycephalum, growing as a single giant cell, is renowned for its sophisticated behavior. Here, we show how locomotion and morphological adaptation behavior 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. Surprisingly, we find a continuous spectrum of modes, as opposed to few dominant modes. Over time, activation of modes along this continuous spectrum is highly dynamic, resulting in contraction patterns of varying regularity. We show that regular patterns are associated with stereotyped behavior by triggering a behavioral response with a food stimulus. Furthermore, we demonstrate that the continuous spectrum of modes and the existence of irregular contraction patterns persist in specimens with a morphology as simple as a single tube. Our data suggests that the continuous spectrum of modes allows for dynamic transitions between a plethora of specific behaviors with transitions marked by highly irregular contraction states. By mapping specific behaviors to states of active contractions, we provide the basis to understand behavior’s complexity as a function of biomechanical dynamics. This perspective will likely stimulate bio-inspired design of soft robots with a similarly rich behavioral repertoire as P. polycephalum.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
Back to top
PreviousNext
Posted September 08, 2020.
Download PDF

Supplementary Material

Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Emergence of behavior in a self-organized living matter network
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Emergence of behavior in a self-organized living matter network
Philipp Fleig, Mirna Kramar, Michael Wilczek, Karen Alim
bioRxiv 2020.09.06.285080; doi: https://doi.org/10.1101/2020.09.06.285080
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
Emergence of behavior in a self-organized living matter network
Philipp Fleig, Mirna Kramar, Michael Wilczek, Karen Alim
bioRxiv 2020.09.06.285080; doi: https://doi.org/10.1101/2020.09.06.285080

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Biophysics
Subject Areas
All Articles
  • Animal Behavior and Cognition (4235)
  • Biochemistry (9140)
  • Bioengineering (6784)
  • Bioinformatics (24005)
  • Biophysics (12131)
  • Cancer Biology (9537)
  • Cell Biology (13781)
  • Clinical Trials (138)
  • Developmental Biology (7638)
  • Ecology (11704)
  • Epidemiology (2066)
  • Evolutionary Biology (15513)
  • Genetics (10647)
  • Genomics (14327)
  • Immunology (9484)
  • Microbiology (22849)
  • Molecular Biology (9095)
  • Neuroscience (49003)
  • Paleontology (355)
  • Pathology (1483)
  • Pharmacology and Toxicology (2570)
  • Physiology (3848)
  • Plant Biology (8331)
  • Scientific Communication and Education (1471)
  • Synthetic Biology (2296)
  • Systems Biology (6193)
  • Zoology (1301)