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Sequence selection by dynamical symmetry breaking in an autocatalytic binary polymer model.

Harold Fellermann1, Shinpei Tanaka2, Steen Rasmussen3

  • 1Interdisciplinary Computing and Complex Biosystem Research Group, School of Computing, Newcastle University, 1 Science Square, Newcastle upon Tyne, NE4 5TG, United Kingdom.

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Summary

Autocatalytic replication in a prebiotic model unexpectedly favors simple, repetitive sequences over complex ones. This "selection of the dullest" arises from symmetry breaking amplified by autocatalysis.

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Area of Science:

  • Origin of Life Studies
  • Systems Chemistry
  • Theoretical Biology

Background:

  • Template-directed replication is fundamental to life.
  • Understanding early molecular self-replication is key to origin of life scenarios.
  • Prebiotic systems likely involved complex molecular interactions.

Purpose of the Study:

  • To model prebiotic sequence replication using binary polymers.
  • To investigate the dynamics of autocatalytic replication.
  • To identify emergent selection mechanisms in simplified systems.

Main Methods:

  • Developed an idealized mathematical model of prebiotic replication.
  • Utilized numerical simulations to explore system dynamics.
  • Employed analytical methods to understand selection principles.

Main Results:

  • Autocatalysis significantly alters system dynamics in unexpected ways.
  • A strong intrinsic selection favors highly ordered, repetitive sequences.
  • This phenomenon, termed 'selection of the dullest,' emerges from symmetry breaking.

Conclusions:

  • Autocatalysis can lead to simplified sequence patterns in early replication.
  • Random fluctuations, amplified by autocatalysis, drive population-level selection.
  • Findings impact mathematical models of prebiotic systems.