This is an NSF Postdoctoral Research Fellowship in Biology, under the program Broadening Participation of Groups Underrepresented in Biology. The fellow, Phillip Skipwith, is conducting research and receiving training that is increasing the participation of groups underrepresented in biology. The fellow is being mentored by Frank Burbrink at the American Museum of Natural History. This research investigates how organisms achieve both species diversity and anatomical diversity in isolated regions, using the snakes of Madagascar as a model system. This is a group of snakes restricted entirely to Madagascar and is both rich in species and diverse in terms of ecology. The fellow is using genetics and anatomy (3D scans of skeletons) to reconstruct the evolutionary tree of these snakes to determine how different species are related. This study is generally applicable to the fields of evolutionary biology and environmental conservation. First, it incorporates cutting edge methods on a poorly understood group of organisms in a region of the world with a unique fauna. These findings will provide important information on how animals adapt to novel environments. Furthermore, Madagascar is an isolated region in dire need of conservation initiatives, which need to be informed by an understanding of species diversity and ecology. Studies like this are critical for understanding and conserving fragile biodiversity for generations to come.

The fellow is using phylogenomic data garnered from a combination of ultraconserved elements and exons to build a robust phylogeny for Malagasy snakes. Three-dimensional computed tomographic imaging (3D CT) of the musculoskeletal system are also being used for comparative phylogenetic methods, to investigate macroevolutionary dynamics including diversification rates, rates phenotypic diversification, the relationship between speciation and trait evolution, and convergent evolution. Ecological niche modeling is also being used to estimate which regions and major biomes of Madagascar, if any, act as engines of biodiversity. In terms of training, the fellow is developing the skills needed for analyzing 3D CT data in a phylogenetic context as well as the technical knowledge needed for computational methods development. Lastly, the fellow is increasing minority and underrepresented group involvement in STEM fields through outreach initiatives and mentorin

Agency
National Science Foundation (NSF)
Institute
Division of Biological Infrastructure (DBI)
Application #
1711083
Program Officer
Amanda Simcox
Project Start
Project End
Budget Start
2017-09-01
Budget End
2019-08-31
Support Year
Fiscal Year
2017
Total Cost
$138,000
Indirect Cost
Name
Skipwith Phillip
Department
Type
DUNS #
City
Union City
State
NJ
Country
United States
Zip Code
07087