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Letters to Nature

Nature 420, 340-343 (21 November 2002) | doi:10.1038/nature01187; Received 8 May 2002; Accepted 13 September 2002

Open Innovation Challenges

In silico simulations reveal that replicators with limited dispersal evolve towards higher efficiency and fidelity

Péter Szabó1,2, István Scheuring1, Tamás Czárán1 & Eörs Szathmáry1,3

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

Correspondence to: Eörs Szathmáry1,3 Correspondence and requests for materials should be addressed to E.S. (e-mail: Email: szathmary@colbud.hu).

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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.

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

Correspondence to: Eörs Szathmáry1,3 Correspondence and requests for materials should be addressed to E.S. (e-mail: Email: szathmary@colbud.hu).