title: Dendritic connectivity shapes spatial patterns of genetic diversity: a simulation-based study.
abstract: Landscape features notoriously affect spatial patterns of biodiversity. For instance, in dendritic ecological networks (such as river basins), dendritic connectivity has been proposed to create unique spatial patterns of biodiversity. Here, we compared genetic datasets simulated under a lattice-like, a dendritic and a circular landscape to test the influence of dendritic connectivity on neutral genetic diversity. The circular landscape had a level of connectivity similar to that of the dendritic landscape, so as to isolate the influence of dendricity on genetic diversity. We found that genetic diversity and differentiation varied strikingly among the three landscapes. For instance, the dendritic landscape generated higher total number of alleles and higher global Fst than the lattice-like landscape, and these indices also varied between the dendritic and the circular landscapes, suggesting an effect of dendricity. Furthermore, in the dendritic landscape, allelic richness was higher in highly connected demes (e.g. confluences in rivers) than in low-connected demes (e.g. upstream and downstream populations), which was not the case in the circular landscape, hence confirming the major role of dendricity. This led to bell-shaped distributions of allelic richness along an upstream-downstream gradient. Conversely, genetic differentiation (Fst ) was lower in highly than in low-connected demes (which was not observed in circular landscape), and significant patterns of isolation by distance (IBD) were also observed in the dendritic landscape. We conclude that in dendritic networks, the combined influence of dendricity and connectivity generates unique spatial patterns of neutral genetic diversity, which has implications for population geneticists and conservationists.
authors: UMR 5174 EDB (Laboratoire Évolution & Diversité Biologique), Centre National de la Recherche Scientifique (CNRS), École Nationale de Formation Agronomique (ENFA), Université Paul Sabatier, Toulouse, France; UMR 5174 (EDB), Université de Toulouse, UPS, Toulouse, France; Aix-Marseille Université, CNRS, IRD, Université d'Avignon, UMR 7263 - IMBE, Équipe EGE, Centre Saint-Charles, Case 36, Marseille, France.
authors: I
authors: I
authors: Paz-Vinas
authors: S
authors: S
authors: Blanchet
mesh_terms: D003198:Computer Simulation; D014644:Genetic Variation; D018895:Microsatellite Repeats; D008957:Models, Genetic
keywords: coalescent-based simulations; dendritic ecological networks; genetic diversity; population differentiation; spatial patterns of biodiversity