Modeling gene genealogies in highly fecund populations
Oberseminar Mainz
Date: 07.11.2017
Time: 14:15–16:00 h
Highly fecund populations abound in nature, yet traditional mathematical population genetic
models do not capture high fecundity. Only very recently have models begun to emerge which
explicitly formulate high fecundity. Of immediate concern is how to detect high fecundity in genetic
and genomic data. We address this problem from two angles; by considering the gene genealogies
of nested subsamples, and by considering the impact of large sample size on our coalescent model.
Our results identify limits of population genetic data in distinguishing between models. This is
joint work with Fabian Freund and Alison Etheridge.
Number
56
Speaker
- Bjarki Eldon, Museum für Naturkunde, Berlin
Place
- Uni Mainz, Institut für Mathematik, Raum 05-136
- Johannes-Gutenberg-Universität Mainz, Institut für Mathematik, Staudingerweg 9, 55128 Mainz, Deutschland
Organizing partners
Technische Universität Darmstadt, Goethe-Universität Frankfurt am Main