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Related Experiment Videos

Self-organization and evolution in a simulated cross catalyzed network.

A Hunding1, R Engelhardt

  • 1Department of Chemistry, H. C. Orsted Institute C116, University of Copenhagen, Denmark.

Origins of Life and Evolution of the Biosphere : the Journal of the International Society for the Study of the Origin of Life
|September 26, 2000
PubMed
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This study models cross-catalysis networks, showing how competition and mutation can lead to stable, self-organizing systems. Established networks can outcompete new self-replicating entities.

Area of Science:

  • Origin of Life Studies
  • Systems Chemistry
  • Theoretical Biology

Background:

  • The prebiotic soup model for life's origins faces challenges.
  • Interacting crystal growth near hydrothermal vents offers an alternative.
  • Cross-catalysis, where entities influence each other's growth rates, is key.

Purpose of the Study:

  • To investigate a model system of cross-catalysis.
  • To explore how competition, mutation, and interaction webs form.
  • To understand the emergence of self-organization and stability.

Main Methods:

  • A computational model simulating entities with modified growth rates.
  • Entities compete for a common resource, leading to potential extinctions.
  • Introduction of new entities (mutations) with altered interactions.

Related Experiment Videos

  • Analysis of entity concentrations using stiff ordinary differential equations.

    • Main Results:

    • Systems with initial cross-inhibition and no autocatalysis can self-organize.
    • Positive growth can lead to the creation of new entities with modified interactions.
    • Established cross-catalyzed systems demonstrate resilience against self-replicating invaders.

    Conclusions:

    • Cross-catalysis provides a viable pathway for complex system formation.
    • Self-organization can emerge even from simple, competitive interactions.
    • The model supports the potential for complex chemical networks in early Earth environments.