Simulating short-and long-term evolutionary dynamics on rugged landscapes - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2021

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


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.
Fichier principal
Vignette du fichier
final_version.pdf (3.71 Mo) Télécharger le fichier
Origin Files produced by the author(s)

Dates and versions

hal-03426019 , version 1 (11-11-2021)



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⟩
68 View
88 Download



Gmail Mastodon Facebook X LinkedIn More