In silico simulations reveal that replicators with limited dispersal evolve towards higher efficiency and fidelity (original) (raw)

Nature volume 420, pages 340–343 (2002)Cite this article

Abstract

The emergence of functional replicases, acting quickly and with high accuracy, was crucial to the origin of life1. Although where the first RNA molecules came from is still unknown, it is nevertheless assumed that catalytic RNA enzymes (ribozymes) with replicase function emerged at some early stage of evolution1. The fidelity of copying is especially important because the mutation load limits the length of replicating templates that can be maintained by natural selection2. An increase in template length is disadvantageous for a fixed digit copying fidelity, however, longer molecules are expected to be better replicases. An iteration for longer molecules with better replicase function has been suggested3,4 and analysed mathematically5. Here we show that more efficient replicases can spread, provided they are adsorbed to a prebiotic mineral surface. A cellular automaton6 simulation reveals that copying fidelity, replicase speed and template efficiency all increase with evolution, despite the presence of molecular parasites, essentially because of reciprocal atruism7 (‘within-species mutualism’) on the surface8, thus making a gradual improvement of replicase function more plausible.

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Figure 1: Long-term evolution of replicators (population-wide averages).

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Figure 2: Distribution of replicators at the stationary state.

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Figure 3: Replicator model with diffusion (population-wide averages).

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Acknowledgements

Financial support by the National Research Fund (OTKA) is gratefully acknowledged.

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Authors and Affiliations

  1. Department of Plant Taxonomy and Ecology, Research Group of Ecology and Theoretical Biology, Eötvös University, 1/c Pázmány P. sétány, H-1117, Budapest
    Péter Szabó, István Scheuring, Tamás Czárán & Eörs Szathmáry
  2. Adaptive Dynamics Network, International Institute for Applied Systems Analysis, A-2361, Laxenburg, Austria
    Péter Szabó
  3. Collegium Budapest (Institute for Advanced Study) 2 Szentháromság u., H-1014, Budapest, Hungary
    Eörs Szathmáry

Authors

  1. Péter Szabó
  2. István Scheuring
  3. Tamás Czárán
  4. Eörs Szathmáry

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Correspondence toEörs Szathmáry.

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Szabó, P., Scheuring, I., Czárán, T. et al. In silico simulations reveal that replicators with limited dispersal evolve towards higher efficiency and fidelity.Nature 420, 340–343 (2002). https://doi.org/10.1038/nature01187

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