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Published on: April 30, 2019
Self-Organization and Genomic Causality in Models of Morphogenesis
1The Jacques Loeb Centre for the History and Philosophy of the Life Sciences, Ben-Gurion University of the Negev, Beer Sheva 84105, Israel.
This study examines models of embryological development, highlighting Alan Turing's reaction-diffusion model and Eric Davidson's gene-regulatory network theory. It contrasts self-organization with genome determination in pattern formation.
Area of Science:
- Developmental Biology
- Systems Biology
- Theoretical Biology
Background:
- The origin of form and structure in embryological development is a long-standing debate.
- Recent focus is on self-organization versus genome determination (gene regulatory processes) in pattern formation.
- Alan Turing's 1952 reaction-diffusion model is a key historical contribution.
Purpose of the Study:
- To analyze historical and current models of pattern formation and form generation in embryogenesis.
- To emphasize the evolution and impact of Alan Turing's reaction-diffusion model.
- To present Eric Davidson's gene-regulatory network theory as a successful explanation for early embryogenesis.
Main Methods:
- Review and analysis of pertinent pattern formation models in developmental biology.
- Historical examination of the reception and adaptation of Alan Turing's reaction-diffusion model.
- Discussion of Eric Davidson's gene-regulatory network analysis and mathematical modeling approach.
Main Results:
- Turing's model initially had limited biological impact due to its purely physical-chemical basis.
- Post-2000, Turing's model gained traction with biological integration, though limitations persisted.
- Davidson's gene-regulatory network model successfully explained developmental cell fate specification, evolution, and species stability.
Conclusions:
- Gene regulatory networks offer a more comprehensive explanation for embryological development than reaction-diffusion models alone.
- Davidson's theory integrates genetic mechanisms with evolutionary and developmental stability.
- Future developments are expected in gene regulatory network modeling for understanding embryogenesis.
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