Evolutionary genomics

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.

"Know the micro-evolutionary mechanisms and their quantitative effects (mutation, drift, selection, migration), and know how to formalize them mathematically.

Population structuring: processes that generate it and indices that describe it; conservation genetics (diversity, flows, corridors).

Inference of evolutionary forces based on molecular data (migration / selection / drift equilibria: Fst, Qst, Ne ...).

- Understanding of the main concepts in evolutionary genomics and molecular evolution.

- Understanding existing methods for detecting natural selection in genomics data: codon model for divergence data and effect of linkage selection for genetic diversity data .

- Awareness of the importance of confounding factors in the detection of adaptation at the molecular level: mutational bias, bias of genetic conversion to GC, demography... .

- Basic knowledge of bioinformatics analysis (Bash linux + R) of genomics data.

 - How to read a scientific article and extract relevant information'-"".

Skills acquired in the M1 BEE core curriculum evolution unit.

100% continuous assessment

Hourly volumes :

            CM : 0 h

            TD: 14 h

            TP : 0 h

            Field : 0 h

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            SPS: 0 h

            Seminars: 16 h

            Outside UM: 0 h