CHOICE 3

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This learning unit has three objectives:

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

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

3) Finally, the EU is proposing a bioanalysis project based on an empirical dataset to gain an understanding of evolutionary genomics and to tackle the increasingly sophisticated bioinformatics aspects of the discipline.

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"The objective of this course unit is to build upon the material covered in the first semester by exploring issues related to phenotypic evolution and the main methodological approaches associated with it. The course will address the evolution of various types of traits (life history traits, traits involved in reproductive strategies, traits involved in biotic interactions, and quantitative traits). The main approaches covered include game theory formalization, adaptive dynamics, quantitative genetics, and the comparison of theoretical predictions with empirical data. The course includes:

1) lectures on the main concepts of evolutionary ecology;

2) tutorials focused on document analysis and exercises"

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"This module introduces array management and the relationship between multivariate and univariate analysis: matrix manipulation and common operations; the concepts of projection and distance; interpretation of descriptive and univariate statistics, using multiple regression, PCA, and AFD as examples; (dis)similarity indices, distance; and correlation."

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