ECTS
4 credits
Component
Faculty of Science
List of courses
Choice: 1 of 3
Evolutionary genomics
4 creditsEXDIM: Multidimensional data mining
4 creditsIntegrative ecophysiology
4 credits
Evolutionary genomics
ECTS
4 credits
Component
Faculty of Science
This UE has three objectives:
1) deepen knowledge of genetic and evolutionary genomics concepts such as linkage disequilibrium, selection, coalescence theory, detection of natural selection and evolutionary forces acting on genome evolution and the process of genomic speciation.
2) Offer an overview of research themes in evolutionary genomics in the form of educational seminars: molecular evolution, evolutionary genomics of endosymbioses, chromosome evolution and molecular evolution.
3) Finally, the EU proposes a project for the bioanalysis of an empirical dataset to understand the analysis of evolutionary genomics and get to grips with the bioinformatics aspects increasingly developed in the discipline.
EXDIM: Multidimensional data mining
ECTS
4 credits
Component
Faculty of Science
"This module introduces 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; indices of (dis)similarity, distance; correlation".
Integrative ecophysiology
ECTS
4 credits
Component
Faculty of Science
The aim of this course is to understand the adaptive biology of organisms by considering individual and population responses to environmental variations. Concrete examples of 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 how physiological mechanisms are involved 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 addressed. 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 set-ups and various scales of organization of living organisms will be considered (molecule, gene, phenotype, individual, population, species).