On the Genealogy of Asexual Diploids

  • Fumei Lam
  • Charles H. Langley
  • Yun S. Song
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6044)


Given molecular genetic data from diploid individuals that, at present, reproduce mostly or exclusively asexually without recombination, an important problem in evolutionary biology is detecting evidence of past sexual reproduction (i.e., meiosis and mating) and recombination (both meiotic and mitotic). However, currently there is a lack of computational tools for carrying out such a study. In this paper, we formulate a new problem of reconstructing diploid genealogies under the assumption of no sexual reproduction or recombination, with the ultimate goal being to devise genealogy-based tools for testing deviation from these assumptions. We first consider the infinite-sites model of mutation and develop linear-time algorithms to test the existence of an asexual diploid genealogy compatible with the infinite-sites model of mutation, and to construct one if it exists. Then, we relax the infinite-sites assumption and develop an integer linear programming formulation to reconstruct asexual diploid genealogies with the minimum number of homoplasy (back or recurrent mutation) events. We apply our algorithms on simulated data sets with sizes of biological interest.


Sexual Reproduction Steiner Tree Steiner Tree Problem Minimum Steiner Tree Diploid Individual 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Fumei Lam
    • 1
  • Charles H. Langley
    • 2
  • Yun S. Song
    • 3
    • 4
  1. 1.Department of Computer ScienceUniversity of CaliforniaDavisUSA
  2. 2.Section of Evolution and EcologyUniversity of CaliforniaDavisUSA
  3. 3.Computer Science DivisionUniversity of CaliforniaBerkeleyUSA
  4. 4.Department of StatisticsUniversity of CaliforniaBerkeleyUSA

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