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Visualization and Quantitative Analysis of Embryonic Angiogenesis in Xenopus tropicalis
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Vector field embryogeny.

Till Steiner1, Yaochu Jin, Bernhard Sendhoff

  • 1Honda Research Institute Europe GmbH, Offenbach am Main, Germany. till.steiner@honda-ri.de

Plos One
|December 19, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces a new method for evolving artificial development by directly shaping system dynamics, not gene networks. Direct evolution of allometric change aids in tasks like cellular differentiation.

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Area of Science:

  • Developmental biology
  • Artificial intelligence
  • Evolutionary computation

Background:

  • Gene regulatory networks are commonly used to model biological development.
  • Understanding developmental processes is key to advancing artificial life and developmental systems.

Purpose of the Study:

  • To present a novel approach for evolving artificial embryogenies by directly manipulating system dynamics.
  • To demonstrate the framework's feasibility using cellular differentiation and hierarchical systems.
  • To investigate the role of allometry in evolution within this framework.

Main Methods:

  • Omitting graph representations of gene regulatory networks.
  • Directly shaping the phase space dynamics of a system.
  • Integrating a spatial hierarchy formulation.
  • Evolving cellular differentiation and allometric change.

Main Results:

  • The proposed approach successfully evolved cellular differentiation.
  • Integration of spatial hierarchy was demonstrated.
  • Allometry was investigated and shown to play a role in evolution.
  • Direct evolution of allometric change proved advantageous for cellular differentiation.

Conclusions:

  • Directly evolving system dynamics offers a viable alternative to gene regulatory network-based approaches.
  • The framework facilitates the study of developmental processes like differentiation and allometry.
  • Allometric change is a beneficial evolutionary adaptation for developmental tasks.