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Dr. John Nason

Photograph of John Nason
Principal Investigator
Professor
Area of Expertise: 
Evolutionary Biology, Population Genetics, Plant-Insect Interactions

Dr. Jordan D Satler

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Post-Doc
Postdoctoral Researcher
Area of Expertise: 
Arthropod population genetics and phylogenetics

Finn Piatscheck

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Graduate Students
Ph.D. Student
Area of Expertise: 
Evolutionary Biology, Ecology, Biotic Interactions

GENEPOP

Web server based software that estimates a variety of population genetic parameters and conducts a variety of sophisticated tests for departures from Hardy-Weinberg, population differentiation, and linkage disequilibrium. It also can convert data files to formats for use with other programs, including Arlequin. Because Genepop runs on the web, it is not operating system specific. If your interest is Wright'sF-statistics, Fstat, GDA, and TFPGA are recommended.

The evolution of population genetic and phylogeographic structure

Satellite image of the Sonoran DesertWe have combined traditional population genetic approaches with coalescent and graphical modeling techniques to gain insight into how deep-time geological and shallow-time climatic changes have influenced species distributions and the spatial organization of genetic variation. Mexico’s Baja California Peninsula is for us a model landscape in which to study large-scale patterns of spatial genetic structure. Read more about The evolution of population genetic and phylogeographic structure

Graphical population genetics - the geometry of genetic structure

Graph of Sonoran Desert columnar cactus Pachycereus schottiiIn collaboration with Rodney Dyer (Virginia Commonwealth U.) we have developed population graphs, a novel network-based procedure for quantifying patterns of inter-population gene flow (Dyer & Nason 2004; Dyer et al. 2010). While most population geneticists recognize that gene flow is probably best represented in the form of interacting networks of populations, in boiling down this complexity to one or a few summary statistics (e.g., Fst) most of our analytical procedures fail to capture the spatially-explicit connectivity among populations that we are often most interested in. Read more about Graphical population genetics - the geometry of genetic structure