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François RoussetCNRS research director Team Evolutionary genetics
Phone +33 (0)4 67 14 46 30
Localization bâtiment 22, 1er étage
Research interests: evolutionary genetics, behavioural ecology, host-parasite interactions, biostatistics, mostly from a theoretical perspective but with experience of several insect model systems and interest for many other terrestrial organisms.
Some recent works :
(Check out for forthcoming PNAS paper by Aguilée et al on effect of pollen dispersal on the response to climate change, and for forthcoming publication describing the performance of methods implemented in the Infusion R package for simulation-based inference).
Rousset F (2015) Regression, least squares, and the general version of inclusive fitness. Evolution 69: 2963-2970. The original verbal interpretation of inclusive fitness is extended to provide the two relationships required to determine the two coefficients -c and b. The validity of using regression concepts is confirmed.
Rousset & Ferdy (2014) Testing environmental and genetic effects in the presence of spatial autocorrelation. Ecography 37: 781-790: an application of generalized linear mixed model (GLMM) methods implemented in the spaMM R package.
Lehmann & Rousset (2014) The genetical theory of social behaviour, Phil. Trans. R. Soc. B 369: 1471-2970: an in-depth survey of insights from population genetics and game theory.
Leblois et al. (2014) Maximum likelihood inference of population size contractions from microsatellite data Mol. Biol. Evol. 31 : 2805-2823 (and the Migraine software).
Guillot, G., Rousset, F. (2013) Dismantling the Mantel tests, Methods in Ecology and Evolution 4 : 336-344.
Lehmann, L. Rousset, F. (2010) How life-history and demography promote or inhibit the evolution of helping behaviors. Phil. Trans. Roy. Soc. London 365: 2599–2617
Robledo-Arnuncio, J.J., Rousset, F. (2010) Isolation by distance in a continuous population under stochastic demographic fluctuations. J. Evol. Biol. 23: 53–71.
Building models of evolution in spatially structured populations requires some knowledge of what is a “realistic” spatial structure. This has motivated some of my work in the field of statistical analysis of spatial genetic patterns. I have defined and validated (along with several collaborators) a simple but robust set of methods of estimation of dispersal rates under isolation by distance. For an entry point to this line of work see Watts et al. 2007. These methods, and various more traditional ones, have been implemented in the Genepop software. We have also performed a similar validation program for maximum likelihood inferences based on the coalescent algorithms developed by R.C. Griffiths and collaborators (see the Migraine software).
Infusion R package
A standard R package for likelihood inference from summary statistics whose distributions are simulated. Go to the reference page for more information.
blackbox R package
A standard R package for use with the Migraine software, or independently for optimization of functions which are avaluated with some error.
spaMM R package
A standard R package for fitting mixed models, including spatial mixed models. Go to the reference page for more information.
Below are links to the maintained distribution pages of three softwares I (co-)distribute, Genepop, Migraine (written in collaboration with Raphaël Leblois) and IBDSim (mostly written by Raphaël). All are freeware (i.e. you don’t need to pay). They are free software covered by the CeCILL licence (GPL compatible), i.e. they can be used, copied, studied, modified and redistributed in other free software, provided the source is acknowledged.
You will find there links to all files for the latest version of Genepop (Rousset 2008). Also available is a recompiled version of the linkdos program (Garnier-Géré and Dillmann 1992), which was distributed with previous versions of Genepop
implements some coalescent methods for likelihood inferences in population genetics. Go to the distribution page for more information.
simulates samples under models of isolation by distance. Go to Raphaël Leblois’s page for more information.
I teach a bit on social evolution and a moderately bigger bit on statistical genetics.
Head of the Department of Ecology, Evolution, Environment, Earth Sciences & Hydrology (B3ESTE) of the University of Montpellier.
Member of the management committee of the Institute of Computational Biology
Links to some past and current collaborators :
- Raphaël Leblois on statistical inference by coalescent and other methods;
- Jean-Michel Marin on various statistical problems in population genetics and a bit beyond;
- Laurent Lehmann and Denis Roze on social selection theory;
- Ophélie Ronce on dispersal evolution and its consequences;
- Alexandre Courtiol on sexual selection. We supervized Loïc Etienne‘ PhD (no web page up to date; now happily teaches biology);
- Jean-Baptiste Ferdy on spatial GLMMs;
- Recurrent sporadic collaborations with other ISEM teams here and there;
- A. Andremont on antibiotic resistance ;
- Juan-Jose Robledo-Arnuncio on isolation by distance in continuous populations;
- Ilik Saccheri and Phill Watts on real insects; including quantification of selection against melanism in the peppered moth Biston betularia (Saccheri et al. 2008), a textbook example of natural selection;
- Henri Leturque did a PhD on sex ratio and dispersal evolution;
- A. Cohuet, F. Renaud , I. Morlais on malaria and its vectors.
Publication list with links (updated when summer torpor keeps my colleagues unable to disturb me).
Links and post-scriptum for the book Genetic structure and selection in subdivided populations
An example of genetic kin-recognition: the zoning of rotting wood by fungi. The mycelia of different individuals are separated by melanized borders (in black). Photo : Marc-André Selosse. See Rousset, F., Roze, D. (2007) Constraints on the origin and maintenance of genetic kin recognition. Evolution 61: 2320–2330.