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Simulating short-and long-term evolutionary dynamics on rugged landscapes

Leonardo Trujillo 1, 2 Paul Banse 1, 2 Guillaume Beslon 1, 2 
2 BEAGLE - Artificial Evolution and Computational Biology
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information, Inria Grenoble - Rhône-Alpes, LBBE - Laboratoire de Biométrie et Biologie Evolutive - UMR 5558
Abstract : We propose a minimal model to simulate long waiting times followed by evolutionary bursts on rugged landscapes. It combines point and inversions-like mutations as sources of genetic variation. The inversions are intended to simulate one of the main chromosomal rearrangements. Using the wellknown family of NK fitness landscapes, we simulate random adaptive walks, i.e. successive mutational events constrained to incremental fitness selection. We report the emergence of different time scales: a short-term dynamics mainly driven by point mutations, followed by a long-term (stasislike) waiting period until a new mutation arises. This new mutation is an inversion which can trigger a burst of successive point mutations, and then drives the system to new short-term increasing-fitness period. We analyse the effect of genes epistatic interactions on the evolutionary time scales. We suggest that the present model mimics the process of evolutionary innovation and punctuated equilibrium.
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Submitted on : Thursday, November 11, 2021 - 9:14:56 PM
Last modification on : Tuesday, October 25, 2022 - 4:17:12 PM
Long-term archiving on: : Saturday, February 12, 2022 - 6:26:01 PM


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  • HAL Id : hal-03426019, version 1
  • ARXIV : 2105.05520


Leonardo Trujillo, Paul Banse, Guillaume Beslon. Simulating short-and long-term evolutionary dynamics on rugged landscapes. ALIFE 2021 - Conference on Artificial Life, Jul 2021, Prague, Czech Republic. pp.1-9. ⟨hal-03426019⟩



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