| Abstract Detail
Recent Topics Posters Blischak, Paul [1], Bolaney, Theresa [2], Harvey, Erin [2], Tian, Yuan [2], Kubatko, Laura [3], Wolfe, Andrea [4]. Species delimitation of Hyobanche: comparing coalescent-based methods using simulation. The parasitic plant genus Hyobanche is a South African endemic belonging to the Orobanchaceae family. The genus comprises seven described species, but morphological differences and population separation give evidence for a larger number of species (perhaps as many as 13-14). Using DNA collected from over 800 individuals across all known populations in South Africa, four microsatellite DNA markers are currently being used to determine genetic variation across the populations. We also plan to use low-copy nuclear genes and AFLPs alongside the microsatellites to help estimate the true number of species. Given the scope of this study, a first step is to test methods of species delimitation in order to provide a working framework for analyzing the genetic data. We use SIMCOAL to generate microsatellite data under the coalescent model and apply a coalescent-based delimitation method (STRUCTURE) to the simulated data to assess the method's ability to differentiate species. In order to address multiple scenarios, we vary population size and number of loci used, and we take into account the fact that these plants are apparent polyploids. Results from the simulation study will be used to guide the future collection of empirical data. Broader Impacts:
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1 - Ohio State University, Mathematics, 76 Melbourne Avenue, Akron, OH, 44313, USA 2 - Ohio State University 3 - Ohio State University, Statistics, 1958 Neil Ave., Columbus, OH, 43210, USA 4 - The Ohio State University, Evolution, Ecology and Organismal Biology, Aronoff Laboratory, 318 W. 12th Ave, Columbus, OH, 43210, USA
Keywords: species delimitation coalescent model SIMCOAL microsatellites.
Presentation Type: Recent Topics Poster Session: P Location: Battelle South/Convention Center Date: Monday, July 9th, 2012 Time: 5:30 PM Number: PRT011 Abstract ID:1304 |