Yves Rousselle
yves.rousselle[arobase]onf[point]fr
CGAF - Forest Trees Genetic Conservatory ONF - French National Forest Service R&D Department
2163 avenue de la pomme de pin CS 40001 Ardon 45075 Orléans CEDEX 2
+33 (0) 2 38 41 78 32
https://twitter.com/yvesrousselle
2012 - R&D researcher in quantitative genetics (CGAF - ONF, Orléans) 2011 Postdoc in quantitaitve genetics on sugarcane (CIRAD, Réunion Island) 2006 - PhD on wheat genetic resources management (INRA, Le Moulon) 2004 - Masters on sunflower gene flows (INRA, Mauguio)
Research
Role of migration in dynamic management of genetic resources
In a dynamic management system of genetic resources, heterogeneous populations evolve generation after generation to get adapted to their environment. Global diversity is maintained over the whole system but genetic variability within each population decreases because of selection and genetic drift. In medium or long term, the evolutionary potential of those populations could decrease and the genetic load could become important. Genetic rescue by migration could limit those two phenomenons by increasing within population genetic variability. However, outbreeding depression could counteract the positive effects of this approach.
During my PhD, I tried to understand the potential effects of migration between a set of experimental wheat populations under Dynamic Management. To this aim, I analysed between and within populations crosses at different levels.
Gene flow in the agrosystem
Gene flow dynamix in the agrosystem is an essential subject for natural populations diversity maintaining, for long term management of feral populations and for integrity of the different kinds of crop production. Although sunflower comes from North America, spontaneous populations have been observed in France. In order to know the role of those populations in gene flow, it is interesting to know if they are able to form persistent populations.
I used a model approach in order to make the most of linkage disequilibrium evolution to set up a method allowing to compute the persistence of the spontaneous sunflower populations.
To learn more, read Ostrowski et al 2010 in publications.