Détection a posteriori de structure génétique des populations hiérarchisée

Maxime Pauwels (1) , Adeline Coornaert (1) , Sophie Gallina (1) , Cyrille Bonamy (2) , Jean-François Arnaud (1)

1 GEPV - Génétique et évolution des populations végétales
2 Université de Lille, Sciences et Technologies

Our study aim is to determine whether the Bayesian clustering method implemented in the STRUCTURE software is capable of detecting hierarchical population genetic structure. Using simulations under two hierarchical migration models, various sets of genotypic data were obtained, corresponding to various levels of genetic differentiation among groups of populations. Twelve datasets were analyzed with and without multiple sub-sampling of the number of genetic locus, individuals and populations. Finally, 556,800 runs of the STRUCTURE software were required for analyses. Runs were submitted to either the CRI cluster or the European grid using Perl scripts, and results were secondary analyzed on the local server.

Domaines: Calcul parallèle, distribué et partagé [cs.DC]

Maxime Pauwels, Adeline Coornaert, Sophie Gallina, Cyrille Bonamy, Jean-François Arnaud. Détection a posteriori de structure génétique des populations hiérarchisée. journées scientifiques mésocentres et France Grilles 2012, Oct 2012, Paris, France. ⟨hal-00766075⟩