par- 8 mars 2016 ( dernière mise à jour : 16 février 2017 )
Adaptation, diversification et origines de la biodiversité
The main objectives of this working group are the following :
1. Improve our understanding of the genetic basis of adaptation and reproductive isolation, by studying populations spread out along environmental gradients, or experiencing drastic natural or anthropic selection. Explore the effects of phenotypic plasticity by studying gene regulations and epigenetics, and how this plasticity contributes to phenotypic variation.
Keywords : genome-scans, genome-wide association studies, local adaptation, gene-flow, climatic gradients, xenobiotics, transcriptomics.
2. Study the adaptation of populations, the balance between disruptive natural selection and gene-flow, and how these processes shape hybrid zones and speciation. Study molecular signatures of adaptive radiation and ecological divergence in natural populations of closely related species.
Keywords : hybrid zones, clines, ecological speciation, gene mosaics, genetic architecture, linkage disequilibrium.
3. Reconstruct the evolutionary origins of biodiversity patterns in order to decipher the tempo and mode of species diversification and how these have been influenced by environmental factors (biotic and abiotic) and key morphological innovations.
Keywords : phylogenies, comparative methods, stochastic models of trait evolution,
Study zones and biological models
The main scales of study and biological models encompass alpine plants of temperate and tropical regions (e.g. Androsace, Espeletia), butterflies (e.g. Coenonympha, Heliconius), wild and domestic ruminants (e.g. Capra, Ovis), mosquitoes and some bird clades (e.g. Charadriiformes)
Network and originalities
This research is conducted at the interface with other local laboratories from the university of Grenoble (applied mathematics, glaciology, geology) with the OSUG framework. Its originality stems from its common endeavour to bridge all organismic scales (from genes to entire clades) and timescales (few generations to million years).
This theme builds on current NGS technologies and bioinformatics, and biodiversity informatics (trait and distribution species databases).
Sébastien Lavergne — sebastien.lavergne[at]univ-grenoble-alpes.fr
Laurence Després — laurence.despres[at]univ-grenoble-alpes.fr
Jesús Mavárez — jesus.mavarez[at]univ-grenoble-alpes.fr