Abstract Detail
Species tree reconstruction in polyploid complexes Oxelman, Bengt [1]. Statistical Inference of Allopolyploid Species Networks in the Presence of Incomplete Lineage Sorting. New models for the statistical inference of the evolutionary history of allopolyploids are evaluated using simulations and demonstrated on two empirical data sets. It is assumed that there has been one or more hybridization events between diploid species resulting in genomic allotetraploids. The evolutionary history can be represented as a network or as a multiply labeled tree, in which some pairs of tips are labeled with the same species. In one of the models (AlloppMUL), the multiply labeled tree is inferred directly. This is the simplest model and the most widely applicable, since fewer assumptions are made. The second model (AlloppNET) incorporates the hybridization event explicitly which means that fewer parameters need to be estimated. Both models are implemented in the BEAST framework. Simulations show that both models are useful and that AlloppNET is more accurate if the assumptions it is based on are valid. The models are demonstrated on previously analyzed data from the genus Pachycladon (Brassicaceae) and from the genus Silene (Caryophyllaceae). Broader Impacts:
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1 - University of Gothenburg, Department of Biology and Environmental Sciences, Box 461, Göteborg, SE40530, Sweden
Keywords:
none specified
Presentation Type: Symposium or Colloquium Presentation
Session: SY09
Location: Grand Ballroom A/Riverside Hilton
Date: Wednesday, July 31st, 2013
Time: 9:00 AM
Number: SY09004
Abstract ID:309
Candidate for Awards:None | 