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Abstract Detail


Population Genetics

Germain-Aubrey, Charlotte [1], Gitzendanner, Matthew A. [2], Soltis, Pamela S. [3].

Comparative phylogeography and population genetics of endemic species to the Lake Wales Ridge, Florida.

The Lake Wales Ridge of Florida is one of the oldest ecosystems in North America and only 14% of it remains today. The age and uniqueness of the ecosystem has resulted in many endemic species of both plants and animals, most of which are threatened or endangered. I propose a comparative phylogeographic analysis of both plant and animal taxa endemic to the ridge comparing origin (based on the range of the closest relative) and age of divergence. Common patterns can shed light on the origins of the high endemism on the ridge as well as mechanisms of speciation. Additionally, focusing on threatened plants, I will use nuclear loci to look at their genetic diversity in terms of global diversity and geographical hotspots in order to better understand and conserve this system. This population genetic study will also enable me to try and relate genetic diversity to other factors such as nearest congener, time since speciation or extent of past bottlenecks. This will advance our understanding of genetic diversity, its origin and true meaning for conservation purposes beyond the species of focus or even this system.


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1 - University of Florida, Department of Botany, Florida Museum of Natural History, Dicksinson Hall. Museum Road, Gainesville, Fl, 32611, USA
2 - University of Florida, Department of Botany, Florida Museum of Natural History, Dicksinson Hall. Museum Road, Gainesville, Fl
3 - University of Florida, Department of Botany, Florida Museum of Natural History, P.O. Box 117800, Gainesville, Florida, 32611-7800, USA

Keywords:
comparative phylogeography
population genetics
Florida
microsatellites
Low-copy Nuclear Markers.

Presentation Type: Poster:Posters for Topics
Session: P
Location: Exhibit Hall (Northeast, Southwest & Southeast)/Hilton
Date: Sunday, July 8th, 2007
Time: 8:00 AM
Number: P76014
Abstract ID:1074


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