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Neutral evolution of mutational robustness.

E van Nimwegen1, J P Crutchfield, M Huynen

  • 1Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM 87501, USA.

Proceedings of the National Academy of Sciences of the United States of America
|August 18, 1999
PubMed
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Populations evolving on neutral networks are shaped by network topology, not evolutionary rates. This finding allows inferring network structure from population data, advancing our understanding of genetic robustness.

Area of Science:

  • Evolutionary Biology
  • Population Genetics
  • Network Theory

Background:

  • Understanding how populations evolve on complex genetic landscapes is crucial.
  • Neutral networks, where mutations do not alter fitness, are key to evolutionary processes.
  • Mutational robustness (insensitivity to mutations) is vital for reducing genetic load.

Purpose of the Study:

  • To develop a general model for population evolution on neutral networks.
  • To determine how network topology influences population distribution and genetic robustness.
  • To establish a method for inferring neutral network properties from empirical data.

Main Methods:

  • Developed a general mathematical model for population evolution on a network of neutral genotypes.
  • Analyzed the limit distribution of the population on the neutral network.

Related Experiment Videos

  • Utilized the principal eigenvector of the adjacency matrix and the spectral radius to characterize population properties.

    • Main Results:

    • Population distribution on a neutral network is dictated solely by network topology, specifically the principal eigenvector of its adjacency matrix.
    • The average number of neutral mutant neighbors per individual equals the matrix spectral radius.
    • These evolutionary metrics are independent of mutation rate, population size, and selection advantage.

    Conclusions:

    • Network topology is the primary determinant of population evolution on neutral networks.
    • Empirical population data can be used to infer global statistics of neutral network topology.
    • Theoretical predictions show excellent agreement with experimental data from RNA secondary structure networks.