Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Error threshold transition in the random-energy model.

Paulo R A Campos1

  • 1Instituto de Física de São Carlos, Universidade de São Paulo, Caixa Postal 369, 13560-970 São Carlos, São Paulo, Brazil. prac@if.sc.usp.br

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|January 7, 2003
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Nonequilibrium phase transition and cultural drift in the continuous-trait Axelrod model.

Physical review. E·2026
Same author

Quantifying evolutionary rescue probabilities upon standing genetic variation and de novo mutations.

Physical review. E·2025
Same author

Geometric Insights into evolutionary rescue dynamics in a two-deme model.

Evolution; international journal of organic evolution·2025
Same author

Resource-based modelling approach to studying evolutionary rescue.

Physical review. E·2024
Same author

The role of epistasis in evolutionary rescue.

The European physical journal. E, Soft matter·2024
Same author

Understanding evolutionary rescue and parallelism in response to environmental stress.

Evolution; international journal of organic evolution·2024

This study analyzes quasispecies evolution on a fitness landscape, revealing a phase transition. It distinguishes between strong selection at low mutation rates and quasineutral evolution at high mutation rates.

Area of Science:

  • Evolutionary dynamics
  • Statistical physics
  • Population genetics

Background:

  • Quasispecies theory describes how mutations affect the survival of replicating entities.
  • Fitness landscapes model the relationship between genotype and reproductive success.
  • Understanding error thresholds is crucial for the stability of genetic information.

Purpose of the Study:

  • To statistically analyze the error threshold transition in quasispecies evolution.
  • To characterize the genealogical properties of populations on a random-energy fitness landscape.
  • To identify distinct evolutionary regimes based on mutation rates.

Main Methods:

  • Extensive numerical simulations were employed.
  • Statistical analysis of population genealogical properties.

Related Experiment Videos

  • Investigation of evolution on a random-energy fitness landscape.

    • Main Results:

    • A clear phase transition was identified in quasispecies evolution.
    • Two distinct evolutionary regimes were observed.
    • Low mutation rates led to strong selection, while high mutation rates resulted in quasineutral evolution.

    Conclusions:

    • The error threshold transition significantly impacts quasispecies dynamics.
    • Mutation rates dictate the dominant evolutionary mechanism (selection vs. quasineutrality).
    • This work provides a precise description of population genealogy under varying mutation pressures.