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Related Experiment Videos

Evolutionary self-organization in complex fluids.

John S McCaskill1, Norman H Packard, Steen Rasmussen

  • 1BioMIP, Ruhr-University-Bochum c/o BMZ, Otto-Hahn-Strasse 15, 44227 Dortmund, Germany. John.mccaskill@biomip.rub.de

Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
|June 8, 2007
PubMed
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Molecular evolution can control physical phases, advancing from replicators to cell-like structures. This study models how replicating molecules influence fluid phases to enhance their own reproduction and evolution.

Area of Science:

  • Origins of Life Research
  • Artificial Cell Development
  • Complex Systems Modeling

Background:

  • Investigating the transition from simple replicating molecules to complex cellular structures.
  • Exploring the role of physical phases in the emergence of life.
  • Developing models for artificial cell synthesis.

Purpose of the Study:

  • To model how molecular evolution can control collective physical phases.
  • To establish a link between hereditary properties and self-assembling structures.
  • To provide a framework for analyzing the evolution of artificial cells.

Main Methods:

  • Developed a physical model of replicating molecules in a ternary fluid (hydrocarbons, amphiphiles, water).
  • Represented amphiphiles as lattice spins with Ising coupling, interacting with diffusing and reacting molecules.

Related Experiment Videos

  • Utilized Monte Carlo simulations to study system dynamics and evolution.

    • Main Results:

    • Demonstrated that replicating molecules can modulate local fluid phases to enhance their own replication.
    • Showcased the coupling of hereditary properties and autonomous evolution to self-assembling mesoscale structures.
    • Achieved a unified combinatorial framework for studying the evolution of spin-lattice models of complex phases.

    Conclusions:

    • Molecular evolution can exert control over collective physical phases, a key step towards artificial cells.
    • The model provides a route to analyze the evolution of artificial cells by linking molecular replication to physical environment modulation.
    • The developed framework enables the physical study of the evolution of complex phases in replicating systems.