IDEAS home Printed from https://ideas.repec.org/a/eee/thpobi/v77y2010i4p270-278.html
   My bibliography  Save this article

A fast algorithm for computing multilocus recombination

Author

Listed:
  • Chasnov, J.R.

Abstract

A fast algorithm for computing recombination is developed for model organisms with selection on haploids. Haplotype frequencies are transformed to marginal frequencies; random mating and recombination are computed; marginal frequencies are transformed back to haplotype frequencies. With L diallelic loci, this algorithm is theoretically a factor of a constant times (3/8)L faster than standard computations with selection on diploids, and up to 16 recombining loci have been computed. This algorithm is then applied to model the opposing evolutionary forces of multilocus epistatic selection and recombination. Selection is assumed to favor haplotypes with specific alleles either all present or all absent. When the number of linked loci exceeds a critical value, a jump bifurcation occurs in the two-dimensional parameter space of the selection coefficient s and the recombination frequency r. The equilibrium solution jumps from high to low mean fitness with increasing r or decreasing s. These numerical results display an unexpected and dramatic nonlinear effect occurring in linkage models with a large number of loci.

Suggested Citation

  • Chasnov, J.R., 2010. "A fast algorithm for computing multilocus recombination," Theoretical Population Biology, Elsevier, vol. 77(4), pages 270-278.
    • Handle: RePEc:eee:thpobi:v:77:y:2010:i:4:p:270-278
    DOI: 10.1016/j.tpb.2010.03.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040580910000213
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tpb.2010.03.003?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. Feldman, Marcus W., 2009. "Sam Karlin and multi-locus population genetics," Theoretical Population Biology, Elsevier, vol. 75(4), pages 233-235.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chasnov, J.R. & Ye, Felix Xiaofeng, 2013. "Evolution of recombination rates in a multi-locus, haploid-selection, symmetric-viability model," Theoretical Population Biology, Elsevier, vol. 83(C), pages 155-165.
    2. Chasnov, J.R., 2012. "Equilibrium properties of a multi-locus, haploid-selection, symmetric-viability model," Theoretical Population Biology, Elsevier, vol. 81(2), pages 119-130.

    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. Han, The Anh & Traulsen, Arne & Gokhale, Chaitanya S., 2012. "On equilibrium properties of evolutionary multi-player games with random payoff matrices," Theoretical Population Biology, Elsevier, vol. 81(4), pages 264-272.
    2. Chasnov, J.R., 2012. "Equilibrium properties of a multi-locus, haploid-selection, symmetric-viability model," Theoretical Population Biology, Elsevier, vol. 81(2), pages 119-130.
    3. Altenberg, Lee, 2010. "Proof of the Feldman–Karlin conjecture on the maximum number of equilibria in an evolutionary system," Theoretical Population Biology, Elsevier, vol. 77(4), pages 263-269.

    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:thpobi:v:77:y:2010:i:4:p:270-278. 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: https://www.journals.elsevier.com/intelligence .

    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.