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Modeling gene genealogies in highly fecund populations

Oberseminar Mainz

Datum: 07.11.2017

Zeit: 14:15–16:00 Uhr

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.




Bjarki Eldon, Museum für Naturkunde, Berlin


Uni Mainz, Institut für Mathematik, Raum 05-136
Johannes-Gutenberg-Universität Mainz, Institut für Mathematik, Staudingerweg 9, 55128 Mainz, Deutschland


Technische Universität Darmstadt, Goethe-Universität Frankfurt am Main

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