IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v271y1999i3p470-488.html
   My bibliography  Save this article

On the maintenance of polygenic variance in a migrating population

Author

Listed:
  • da Silva, Ladário
  • Tsallis, Constantino

Abstract

We carry on computer simulations in order to discuss the maintenance of polygenic variance in a model with migrating finite diploid population, non-overlapping generations and non-random mating, submitted to stabilizing selection and to spontaneous mutations. We sweep a wide spectrum of mutation rates and monitor: the phenotypic values distribution, its skewness and kurtosis Fisher coefficients as well as the percentage of heterozygotes. We show that, for mutation rate less than 10−4, the phenotypic distribution becomes highly leptokurtic so that spontaneous mutations cannot realistically balance the effect of the stabilizing selection on the phenotype and that isolation by distance, as modelled herein, can maintain a greater percentage of heterozygotes.

Suggested Citation

  • da Silva, Ladário & Tsallis, Constantino, 1999. "On the maintenance of polygenic variance in a migrating population," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 271(3), pages 470-488.
    • Handle: RePEc:eee:phsmap:v:271:y:1999:i:3:p:470-488
    DOI: 10.1016/S0378-4371(99)00210-1
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437199002101
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
    File URL: https://libkey.io/10.1016/S0378-4371(99)00210-1?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. Tsallis, Constantino, 1993. "Exactly solvable model for a genetically induced geographical distribution of a population," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 194(1), pages 502-518.
    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.

      More about this item

      Statistics

      Access and download statistics

      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:phsmap:v:271:y:1999:i:3:p:470-488. 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/physica-a-statistical-mechpplications/ .

      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.