Cited by 13Evolution and Genetic DynamicsStochastic processes and statistical mechanicsMathematical and Theoretical Epidemiology and Ecology Models

Recombination in one and two dimensional fitness landscapes.

Avetisyan, Zh., Saakian, David B.·2010·Physical Review E

Abstract

We consider many-site mutation-recombination models of molecular evolution, where fitness is a function of a Hamming distance from one (one-dimensional case) or two (two-dimensional case) sequences. For the one-dimensional case, we calculate the population distribution dynamics for a model with zero fitness and an arbitrary symmetric initial distribution and find an error threshold transition point in the single-peak fitness model for a given initial symmetric distribution. We calculate the recombination period in the case of a single-peak fitness function, when the original population is located at one sequence, at some Hamming distance from the peak configuration. Steady-state fitness is calculated with finite genome length corrections. We derive analytical equations for the two-dimensional mutation-recombination model.

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Crossref · 10.1103/physreve.81.051916

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References 32 · Cited by 13

Authors
Avetisyan, Z., & Saakian, D. B.
Affiliations
  • Max Planck Institute for Mathematics in the Sciences (DE)
  • A. Alikhanyan National Laboratory (AM)
Venue
Physical Review E
Published
2010-05-17
Volume
81
Issue
5
Pages
051916-051916
ISSN
  • 1539-3755 (ISSN-L)
  • 1550-2376
OpenAlex
W1981348098
Cited by
13
References
32
Citations by year
2026: 1 · 2024: 1 · 2019: 2 · 2018: 2 · 2015: 3 · 2013: 1 · 2012: 1
FWCI
0.72
Type
journal article
Language
en
Open access
closed
Locations
  • Physical Review E (publishedVersion)
  • PubMed (publishedVersion)
  • Ghent University Academic Bibliography (Ghent University) (submittedVersion)
  • Max Planck Institute for Plasma Physics (submittedVersion)
Funders
  • Volkswagen Foundation
  • National Science Council
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
  • Physical Sciences › Mathematics › Mathematical Physics › Stochastic processes and statistical mechanics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Mathematical and Theoretical Epidemiology and Ecology Models
Keywords
fitness landscape, Hamming distance, error threshold, molecular evolution
MeSH terms
Algorithms, Alleles, Animals, Biophysics, Epistasis, Genetic, Humans, Models, Genetic, Mutation, Probability, Recombination, Genetic, Models, Statistical, Genome, Evolution, Molecular

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