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Collective adaptability in a replication network of minimal nucleobase sequences.

Sonia Vela-Gallego1, Zulay Pardo-Botero2, Cristian Moya1

  • 1Department of Organic Chemistry, Universidad Autónoma de Madrid Campus de Cantoblanco 28049 Madrid Spain andres.delaescosura@uam.es sonia.vela@uam.es.

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This study explores the origins of life by creating a simple replication network. The findings suggest that sequence complementarity and disulfide exchange reactions drive collective adaptability in early life systems.

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Area of Science:

  • Biochemistry
  • Origin of Life Research
  • Systems Chemistry

Background:

  • Understanding the origins of life requires exploring how replication networks evolve.
  • Simple molecular systems are crucial for modeling early life processes.

Purpose of the Study:

  • To investigate the evolutionary potential of a minimal replication network.
  • To model the interplay of synergistic dynamics and competition between replicators.

Main Methods:

  • Implementation of a replication network using cysteine and dinucleobases (adenine, thymine).
  • Supramolecular and kinetic analyses of self- and mutual interactions.
  • Simulation of network dynamics in an open reactor using experimental kinetic data.

Main Results:

  • Self- and mutual interactions drive assembly and replication pathways.
  • Sequence complementarity enhances replication rates, suggesting selection bias.
  • Simulations reveal bistability and selective amplification based on initial composition.
  • Disulfide exchange reactions connect catalytic pathways, enabling collective adaptability.

Conclusions:

  • The studied network configuration promotes collective adaptability to feedstock availability.
  • Disulfide exchange reactions are key connectors in auto- and cross-catalytic pathways.
  • This model provides insights into the emergence of evolutionary processes from simple chemical systems.