Evolutionary genomics

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) Provide an overview of research topics in evolutionary genomics in the form of educational seminars: molecular evolution, evolutionary genomics of endosymbiosis, chromosomal evolution, and molecular evolution.

3) Finally, the EU is proposing a bioanalysis project using an empirical dataset to understand evolutionary genomics analysis and tackle the increasingly sophisticated bioinformatics aspects of the discipline.

Understand microevolutionary mechanisms and their quantitative effects (mutation, drift, selection, migration), and know how to formalize them mathematically.

Population structure: 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, etc.).

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

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

- Awareness of the importance of confounding factors in detecting adaptation at the molecular level: mutation bias, genetic conversion bias toward GC, demographics.

- Basic concepts of bioinformatics analysis (Bash Linux + R) of genomic data.

 - Knowing how to read a scientific article and extract relevant information from it

Skills acquired in the EU during the M1 BEE core curriculum.

Continuous assessment: 100%

Hourly volumes:

            CM: 0 hours

            TD: 2 p.m.

            Practical work: 0 hours

            Field: 0 hours

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            SPS: 0 hours

            Seminars: 4 p.m.

            Outside UM: 0 hours