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Autogenesis: the evolution of replicative systems.

V Csányi, G Kampis

    Journal of Theoretical Biology
    |May 21, 1985
    PubMed
    Summary
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    Replication, a copying process, defines living organization. A new model, autogenesis, explains the spontaneous emergence of self-replicating systems and evolutionary hierarchies.

    Area of Science:

    • * Theoretical biology and evolutionary systems theory.
    • * Investigating the fundamental organizational principles of life.

    Background:

    • * Critically examines existing theories like autopoiesis and POL theory.
    • * Addresses challenges in defining living systems, reproduction, autonomy, and identity.
    • * Highlights the need for a unifying framework for biological organization.

    Purpose of the Study:

    • * To propose a new theoretical model for the origin and evolution of living systems.
    • * To define a core characteristic of living organization: replication.
    • * To introduce 'autogenesis' as a mechanism for the spontaneous emergence of replicative organization.

    Main Methods:

    • * Development of a theoretical model for spontaneous emergence of replicative organization.

    Related Experiment Videos

  • * Introduction of the concept of 'replicative information' and 'AutoGenetic System Precursor (AGSP)'.
  • * Analysis of autogenesis as a process leading to invariant self-replication and hierarchical evolution.

    • Main Results:

    • * Replication, driven by replicative information, is proposed as the defining feature of living organization.
    • * Autogenesis models the spontaneous formation of self-replicating systems with compartments.
    • * Hierarchical evolution arises from the relative autonomy of autogenetic unities.

    Conclusions:

    • * Autogenesis provides a framework for understanding the origin and evolution of life, from organisms to the biosphere.
    • * Replicative unities evolve through autogenesis, forming new levels of organization.
    • * The model offers insights into ontogenesis and the evolution of complex systems.