- Docente: Donata Luiselli
- Crediti formativi: 6
- SSD: BIO/08
- Lingua di insegnamento: Inglese
- Moduli: Donata Luiselli (Modulo 1) Marco Sazzini (Modulo 2)
- Modalità didattica: Convenzionale - Lezioni in presenza (Modulo 1) Convenzionale - Lezioni in presenza (Modulo 2)
- Campus: Bologna
- Corso: Laurea Magistrale in Bioinformatics (cod. 8020)
Conoscenze e abilità da conseguire
At the end of the course, the student has the basic knowledge on human evolution and variability at the molecular level. In particular, the student is able to: understand the most importance differences between ape and human genomes; discover, assay and make inferences from the patterns of human genetic variation; use software for population genetics data analysis (Arlequin, R software, ADMIXTURE...); provide a correct interpretation of results.
Contenuti
Course contents
Prerequisites: knowledge of basic genetics and molecular biology.
- Introduction to Human Evolutionary Genetics
- Aims of Molecular Anthropology
- Population Genetics; Hardy-Weinberg equilibrium with
exercises
- Microevolution and genetic factors: non random mating, genetic drift, gene flow, mutation, natural selection
- Uniparental Markers -Mitochondrial DNA and Y chromosome phylogeny
- Origins of modern humans
- Geographical distribution of diversity, Out of Africa model and Multiregional model
- Making inference from diversity (measures of molecular diversity, neutrality test, mismatch distribution, phylogenetic trees)
- The Genographic Project and the 1K Genome Project
- Basics of R and application in human population genetics
Testi/Bibliografia
Jobling M.A., Hurles M.E., Tyler-Smith C., Human evolutionary
genetics, Garland Science, 2004
Material and tools will be provided as an integration to the
information given during the lectures
Scientific articles, reference and tools provided during the
course.
Metodi didattici
Lectures, exercises during the course for specific aspects,
practicum with R language
Modalità di verifica e valutazione dell'apprendimento
Final examination will be performed in two different parts:
1) a written test with 10 questions, one is an exercise of
population genetics. Each answer has a value up to 3 scores and in
the case of complete answers, the student will achieve the full
mark cum Laude.
2) a problem to solve using R software
Strumenti a supporto della didattica
videoproiettore, pc
Orario di ricevimento
Consulta il sito web di Donata Luiselli
Consulta il sito web di Marco Sazzini