IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v221y2010i21p2546-2554.html
   My bibliography  Save this article

Epistasis and environmental heterogeneity in the speciation process

Author

Listed:
  • Campos, Paulo R.A.
  • de Oliveira, Viviane M.
  • Rosas, Alexandre

Abstract

The study of evolutionary mechanisms driving evolution of natural populations is a central issue in evolutionary biology. In this context the question of genetic divergence and speciation in ecosystems is one of the most intriguing and complex challenges nowadays. The current manuscript aims to investigate the aforementioned problem by means of extensive computer simulations. Here we introduce a spatial model of evolution which assumes viability selection, mutations and random mating. The population evolves in a heterogeneous environment where the habitat diversity is an input of the model. As a model for the fitness landscape a variation of the NK model is assumed. We present results for the time evolution of fitness and genetic divergence and address the species-area relationship. The dependence of the quantities and scalings of the problem with epistasis is investigated. Depending on the mutation rate, the species-area relationship displays either two-phase or a triphasic scenario. In any case, for intermediate and large system sizes the relationship is well described by a power-law, with exponents within the range of values observed in real ecological niches. All the quantities show a strong dependence on the epistasis parameter. According to our simulations, a lower level of genetic divergence is needed in order to ensure sexual isolation when interactions among genes is strong.

Suggested Citation

  • Campos, Paulo R.A. & de Oliveira, Viviane M. & Rosas, Alexandre, 2010. "Epistasis and environmental heterogeneity in the speciation process," Ecological Modelling, Elsevier, vol. 221(21), pages 2546-2554.
    • Handle: RePEc:eee:ecomod:v:221:y:2010:i:21:p:2546-2554
    DOI: 10.1016/j.ecolmodel.2010.07.023
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380010003789
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2010.07.023?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Swanack, Todd M. & Grant, William E. & Fath, Brian D., 2008. "On the use of multi-species NK models to explore ecosystem development," Ecological Modelling, Elsevier, vol. 218(3), pages 367-374.
    2. 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.
    3. Ricardo B. R. Azevedo & Rolf Lohaus & Suraj Srinivasan & Kristen K. Dang & Christina L. Burch, 2006. "Sexual reproduction selects for robustness and negative epistasis in artificial gene networks," Nature, Nature, vol. 440(7080), pages 87-90, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Manuel Beltrán Del Río & Christopher R. Stephens & David A. Rosenblueth, 2015. "Fitness Landscape Epistasis And Recombination," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 18(07n08), pages 1-38, November.
    2. Javier Santos-Moreno & Eve Tasiudi & Hadiastri Kusumawardhani & Joerg Stelling & Yolanda Schaerli, 2023. "Robustness and innovation in synthetic genotype networks," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    3. 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).
    4. Liberman, Uri & Feldman, Marcus, 2008. "On the evolution of epistasis III: The haploid case with mutation," Theoretical Population Biology, Elsevier, vol. 73(2), pages 307-316.
    5. Stefano Ciliberti & Olivier C Martin & Andreas Wagner, 2007. "Robustness Can Evolve Gradually in Complex Regulatory Gene Networks with Varying Topology," PLOS Computational Biology, Public Library of Science, vol. 3(2), pages 1-10, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecomod:v:221:y:2010:i:21:p:2546-2554. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.