IDEAS home Printed from https://ideas.repec.org/a/bpj/sagmbi/v6y2007i1n11.html
   My bibliography  Save this article

A Bayesian Model of AFLP Marker Evolution and Phylogenetic Inference

Author

Listed:
  • Luo Ruiyan

    (University of Wisconsin - Madison)

  • Hipp Andrew L

    (The Morton Arboretum)

  • Larget Bret

    (University of Wisconsin - Madison)

Abstract

Amplified Fragment Length Polymorphism (AFLP) markers are formed by selective amplification of DNA fragments from digested total genomic DNA. The technique is popular because it is a relatively inexpensive way to produce large numbers of reproducible genetic markers. In this paper, we describe a Bayesian approach to modeling AFLP marker evolution by nucleotide substitution and an MCMC approach to estimate phylogeny from AFLP marker data. We demonstrate the method on species in Carex section Ovales, a group of sedges common in North America. We compare the results of our analysis with a clustering method based on Nei and Li's restriction-site distance and a two-state Bayesian analysis using MrBayes.

Suggested Citation

  • Luo Ruiyan & Hipp Andrew L & Larget Bret, 2007. "A Bayesian Model of AFLP Marker Evolution and Phylogenetic Inference," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 6(1), pages 1-32, April.
    • Handle: RePEc:bpj:sagmbi:v:6:y:2007:i:1:n:11
    DOI: 10.2202/1544-6115.1152
    as

    Download full text from publisher

    File URL: https://doi.org/10.2202/1544-6115.1152
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.
    File URL: https://libkey.io/10.2202/1544-6115.1152?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.

    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:bpj:sagmbi:v:6:y:2007:i:1:n:11. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Peter Golla (email available below). General contact details of provider: https://www.degruyter.com .

    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.