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Emergence of multicellular organisms with dynamic differentiation and spatial pattern
1Department of Pure and Applied Sciences, University of Tokyo, Japan. furusawa@complex.c.u-tokyo.ac.jp
Artificial Life
|November 3, 1998
Summary
This study models how replicating cells form multicellular organisms. It reveals that cell differentiation, spatial patterns, and life cycles naturally emerge from intracellular dynamics and cell adhesion.
Area of Science:
- Theoretical Biology
- Biophysics
- Systems Biology
Background:
- Understanding the origin of multicellularity is a fundamental question in biology.
- Previous models often simplified cell interactions and intracellular dynamics.
Purpose of the Study:
- To investigate the emergence of multicellular organisms from single replicating cells.
- To explore the mechanisms of cell differentiation and pattern formation in cell societies.
- To model the complete life cycle of a multicellular unit.
Main Methods:
- A computational model incorporating intracellular biochemical oscillations.
- Simulation of cell-cell interactions via diffusive chemicals on a 2D grid.
- Inclusion of state-dependent cell adhesion and its role in differentiation.
Main Results:
- Cell differentiation arises from dynamical instability, termed 'isologous diversification'.
- A robust, stable spatial pattern of differentiated cells emerges and is maintained by cell interactions.
- The model demonstrates the release of new multicellular organism seeds and the programmed death of the parent unit.
Conclusions:
- Multicellular organism emergence, differentiation, regulation, and life cycles are natural outcomes of cellular systems with growth.
- The proposed model provides a framework for understanding the transition from unicellular to multicellular life.
- Cellular dynamics and adhesion are key factors driving the evolution of complex life forms.