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Wagner's canalization model.

Emilia Huerta-Sanchez1, Rick Durrett

  • 1Center for Mathematics, Cornell University, 657 Frank H.T. Rhodes Hall, Ithaca, NY 85721, USA. emilia@cam.cornell.edu

Theoretical Population Biology
|December 21, 2006
PubMed
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Systems evolve to be robust because robust systems produce more viable offspring. This finding on the evolution of robustness is robust across various model details, especially in large populations.

Area of Science:

  • Evolutionary biology
  • Systems biology
  • Computational biology

Background:

  • Previous models explored gene network evolution for robustness, primarily using N=10 simulations.
  • Observed phenomenon: biological systems tend to evolve robustness.

Purpose of the Study:

  • Investigate robustness evolution in gene networks across different system sizes and with/without recombination.
  • Analyze systems with selection for convergence.
  • Characterize equilibrium distributions in genotype space for models without recombination.

Main Methods:

  • Analysis of a simple gene network evolution model.
  • Simulations of systems with varying sizes and recombination parameters.
  • Neutral network analysis for models lacking recombination.

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Main Results:

  • The evolution of robustness is a robust phenomenon, independent of specific model details when population size is sufficiently large.
  • Robust systems yield more viable offspring, indicating selection for robustness is linked to increased fecundity.
  • Equilibrium distributions of networks in genotype space can be described using neutral network theory.

Conclusions:

  • The evolution of robustness is a fundamental outcome of selection for increased fecundity.
  • Findings are consistent with established theories on neutral networks.
  • Robustness in biological systems is a predictable consequence of evolutionary processes.