CHOICE2

This EU has three objectives:

1) deepen knowledge of concepts in genetics and evolutionary genomics such as linkage disequilibrium, selection, coalescent theory, detection of natural selection and evolutionary forces acting on genome evolution and the process of genomic speciation.

2) To propose a panorama of research themes in evolutionary genomics in the form of pedagogical seminars: molecular evolution, evolutionary genomics of endosymbioses, chromosomal evolution and molecular evolution.

3) Finally, the EU proposes a project of bioanalysis of an empirical dataset to understand the analysis in evolutionary genomics and to rub shoulders with the bioinformatics aspects increasingly developed in the discipline.

See full page

"This module presents table management and the link between multivariate and univariate: matrix manipulation and common operations; notion of projection and distance; translation of descriptive and univariate statistics with multiple regression/ACP/AFD as an example; (dis)similarity indices, distance; correlation"

See full page

The aim of this course is to understand the adaptive biology of organisms by considering individual and population responses to environmental variation. Concrete examples in animal evolutionary ecophysiology will be discussed in the context of global change. The responses of organisms and populations to abiotic parameters (such as temperature, salinity, oxygen availability, pollutants) will be considered as well as their interactive effects. The course will show the implication of physiological mechanisms in ecology, from phenotypic and cognitive processes at the intra-individual level to functional variants between individuals and between species. Intraspecific variability, phenotypic plasticity and transgenerational effects will also be discussed. This course will be illustrated by examples of phenotypic trait analysis (including behavior) within populations. Links with genetic and epigenetic markers will also be discussed. Different approaches (-omics vs. target gene/protein), several experimental setups and various scales of organization of living organisms will be considered (molecule, gene, phenotype, individual, population, species).

See full page