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Emergent properties of gene evolution: Species as attractors in phenotypic space

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  • Reuveni, Eli
  • Giuliani, Alessandro

Abstract

The question how the observed discrete character of the phenotype emerges from a continuous genetic distance metrics is the core argument of two contrasted evolutionary theories: punctuated equilibrium (stable evolution scattered with saltations in the phenotype) and phyletic gradualism (smooth and linear evolution of the phenotype). Identifying phenotypic saltation on the molecular levels is critical to support the first model of evolution. We have used DNA sequences of ∼1300 genes from 6 isolated populations of the budding yeast Saccharomyces cerevisiae. We demonstrate that while the equivalent measure of the genetic distance show a continuum between lineage distance with no evidence of discrete states, the phenotypic space illustrates only two (discrete) possible states that can be associated with a saltation of the species phenotype. The fact that such saltation spans large fraction of the genome and follows by continuous genetic distance is a proof of the concept that the genotype–phenotype relation is not univocal and may have severe implication when looking for disease related genes and mutations. We used this finding with analogy to attractor-like dynamics and show that punctuated equilibrium could be explained in the framework of non-linear dynamics systems.

Suggested Citation

  • Reuveni, Eli & Giuliani, Alessandro, 2012. "Emergent properties of gene evolution: Species as attractors in phenotypic space," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(4), pages 1172-1178.
  • Handle: RePEc:eee:phsmap:v:391:y:2012:i:4:p:1172-1178
    DOI: 10.1016/j.physa.2011.08.050
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    1. Gianni Liti & David M. Carter & Alan M. Moses & Jonas Warringer & Leopold Parts & Stephen A. James & Robert P. Davey & Ian N. Roberts & Austin Burt & Vassiliki Koufopanou & Isheng J. Tsai & Casey M. B, 2009. "Population genomics of domestic and wild yeasts," Nature, Nature, vol. 458(7236), pages 337-341, March.
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    Cited by:

    1. Damasco, Achille & Giuliani, Alessandro, 2017. "A resonance based model of biological evolution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 750-756.

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