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A study about the evolutionary dynamics and repeatability in time-varying fitness landscapes

Author

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  • Cirne, Diego
  • Campos, Paulo R.A.

Abstract

The present work addresses how seasonal environmental changes affect adaptation and evolutionary predictability in the presence of epistasis for finite-size populations. We assume gene regulation so that different seasons of the environment inflict selective pressures on different set traits each time. The existence of epistasis reduces modularity, and the subsets no longer evolve independently. We show that epistasis enhances oscillation in fitness despite decreased variation at the genotypic level, as revealed by an entropy analysis. Furthermore, the amplitude of oscillations increases with the period of the different phases. We also observe that demography plays a role, and larger populations are associated with larger oscillations and more efficient searches of local optima.

Suggested Citation

  • Cirne, Diego & Campos, Paulo R.A., 2022. "A study about the evolutionary dynamics and repeatability in time-varying fitness landscapes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 585(C).
  • Handle: RePEc:eee:phsmap:v:585:y:2022:i:c:s0378437121007263
    DOI: 10.1016/j.physa.2021.126453
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    References listed on IDEAS

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    1. Krishnendu Chatterjee & Andreas Pavlogiannis & Ben Adlam & Martin A Nowak, 2014. "The Time Scale of Evolutionary Innovation," PLOS Computational Biology, Public Library of Science, vol. 10(9), pages 1-7, September.
    2. de Oliveira, Viviane M. & Campos, Paulo R.A., 2019. "The emergence of division of labor in a structured response threshold model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 517(C), pages 153-162.
    3. Campos, Paulo R.A & Adami, Christoph & Wilke, Claus O, 2002. "Optimal adaptive performance and delocalization in NK fitness landscapes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 304(3), pages 495-506.
    4. R. Tucker Gilman & Scott L. Nuismer & Dwueng-Chwuan Jhwueng, 2012. "Coevolution in multidimensional trait space favours escape from parasites and pathogens," Nature, Nature, vol. 483(7389), pages 328-330, March.
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