Genomes harbor information about the events and evolutionary processes that have affected the history of a species; therefore, accessing genomic information and developing appropriate analytic methods is crucial for reconstructing the evolutionary history of species. With the decreased cost of next-generation sequencing, new genomic tools can be used to access genome-wide genetic information, even in non-model organisms. In this dissertation, multiple DNA sequencing-based approaches are used to study patterns of genetic variation in switchgrass (Panicum virgatum L), a perennial North American tallgrass. Whole-plastid re-sequencing and Genotyping-By-Sequencing are used to measure population structure in switchgrass and examine how historical migration, adaptive differences, and ploidy have shaped contemporary patterns of variation. With the feasibility of whole-genome resequencing on the horizon, developing analytic methods that can take advantage of this type of data will be beneficial for the analysis of any species. Thus, in the final chapter, simulations are used to test the performance of a new method that uses whole genome sequences to estimate population divergence dates and detect historical migration.
|Advisor:||Borevitz, Justin, Pritchard, Jonathan|
|Commitee:||Bergelson, Joy, Pavlovic, Noel, Pfister, Cathy|
|School:||The University of Chicago|
|Department:||Ecology and Evolution|
|School Location:||United States -- Illinois|
|Source:||DAI-B 75/07(E), Dissertation Abstracts International|
|Subjects:||Genetics, Evolution and Development, Systematic|
|Keywords:||Biogeography, Genotyping, Migration, Polyploid, Switchgrass|
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