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The Mechanics of (Poro-)Elastic Contractile Actomyosin Networks As a Model System of the Cell Cytoskeleton
Published on: March 10, 2023
Mathematical model for rhythmic protoplasmic movement in the true slime mold
Ryo Kobayashi1, Atsushi Tero, Toshiyuki Nakagaki
1Department of Mathematical and Life Sciences, Hiroshima University, Higashi Hiroshima, 739-8526, Japan. ryo@math.sci.hiroshima-u.ac.jp
Abstract:
The plasmodium of the true slime mold Physarum polycephalum is a large amoeboid organism that displays "smart" behavior such as chemotaxis and the ability to solve mazes and geometrical puzzles. These amoeboid behaviors are based on the dynamics of the viscoelastic protoplasm and its biochemical rhythms. By incorporating both these aspects, we constructed a mathematical model for the dynamics of the organism as a first step towards understanding the relation between protoplasmic movement and its unusual abilities. We tested the validity of the model by comparing it with physiological observation. Our model reproduces fundamental characteristics of the spatio-temporal pattern of the rhythmic movement: (1) the antiphase oscillation between frontal tip and rear when the front is freely extending; (2) the asynchronous oscillation pattern when the front is not freely extending; and (3) the formation of protoplasmic mounds over a longer time scale. Both our model and physiological observation suggest that cell stiffness plays a primary role in plasmodial behaviors, in contrast to the conventional theory of coupled oscillator systems.
Insights
This study models the slime mold Physarum polycephalum, revealing cell stiffness is key to its smart behaviors, challenging prior theories. The model accurately predicts rhythmic movement patterns and protoplasmic dynamics.
Area of Science:
- Biophysics
- Computational Biology
- Cellular Dynamics
Background:
- The slime mold Physarum polycephalum exhibits complex behaviors like maze-solving.
- These behaviors are linked to its viscoelastic protoplasm and biochemical rhythms.
Purpose of the Study:
- To develop a mathematical model integrating protoplasmic dynamics and rhythms.
- To understand the relationship between movement and Physarum's intelligent abilities.
Main Methods:
- Constructed a mathematical model of Physarum polycephalum dynamics.
- Incorporated viscoelasticity and biochemical rhythms.
- Validated the model against physiological observations.
Main Results:
- The model successfully reproduced spatio-temporal patterns of rhythmic movement.
- Observed antiphase and asynchronous oscillation patterns.
- Modeled the formation of protoplasmic mounds over time.
Conclusions:
- Cell stiffness is a primary factor in plasmodial behaviors.
- Findings contrast with conventional coupled oscillator system theories.
- The model provides a framework for understanding Physarum's complex behaviors.
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