1999/04/13 by Martin Nilsson, Nigel Snoad · 91 citations
Biochemistry, Genetics and Molecular Biology · Mathematics · Physics and Astronomy · Social Sciences · #Artificial intelligence #Biology #Computer science #Evolution and Genetic Dynamics #Evolutionary Game Theory and Cooperation #Fidelity #Fitness landscape #Gene Regulatory Network Analysis #Genetics #Genome #Limit (mathematics) #Mathematics #Physics #Selection (genetic algorithm) #Statistical physics #Upper and lower bounds #Viral quasispecies #physics.bio-ph #q-bio
paper · pdf · doi:10.1103/physrevlett.84.191
published in Physical Review Letters 84(1), 191-194 (American Physical Society) · 5 pages
arxiv created 1999/04/13 · openalex publication_date 2000/01/03 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
In this paper we investigate error thresholds on dynamic fitness landscapes. We show that there exists both a lower and an upper threshold, representing limits to the copying fidelity of simple replicators. The lower bound can be expressed as a correction term to the error threshold present on a static landscape. The upper error threshold is a new limit that only exists on dynamic fitness landscapes. We also show that for long genomes and/or highly dynamic fitness landscapes there exists a lower bound on the selection pressure required for the effective selection of genomes with superior fitness independent of mutation rates, i.e. there are distinct nontrivial limits to evolutionary parameters in dynamic environments.