Joint work with Bastian Wiederhold.
The spatial structure of genetic diversity is mainly shaped by the way individuals disperse their o˙spring in space. The basic prediction of spatial models in population genetics is that genetic correlation decreases with the geographic distance between two points. When the dispersal of individuals is essentially local (short range dispersal), the shape of these correlations is described by the Wright-Malécot formula, which allows one to infer past dispersal and population density from observed patterns of genetic correlations. This talk will present an extension of the spatial Lambda-Fleming-Viot process introduced by Barton, Etheridge and Véber which allows us to study spatial patterns of genetic diversity under a wide range of long-range dispersal scenarios including grouped dispersal and large scale extinction-recolonisation events at various scales. We shall see that, using a space-time rescaling of this process, one can recover a general description of the genetic correlations under these different scenarios, and that the speed of decrease of these correlations with geographic distance is very sensitive to the choice of the dispersal model.
By Nick Barton
By Quentin Griette
By Ada Altieri
By Mete Demircigil
By Elisa Thébault
By Sebastian Schreiber
By Jean-François Arnoldi
By Michael Scott
By Florence Bansept
By Apolline Louvet
By Aliene MacPherson
By Vincent Bansaye
By Sébastien Lion
By Philipp Messer
By Raphael Forien
By Nicolas Vauchelet
By David MacLeod
By Cheryl Mentuda
By Léo Girardin
By Misha Gromov
By Misha Gromov
By Vasilis Dakos
By Stephen Coombes , Peter Liddle
By Victor Kleptsyn
By Jean Feydy
By François-Xavier Vialard
