MOLECULAR EVOLUTION
cod. 1006743

Academic year 2018/19
3° year of course - First semester
Professor
Angelo PAVESI
Academic discipline
Genetica (BIO/18)
Field
A scelta dello studente
Type of training activity
Student's choice
24 hours
of face-to-face activities
3 credits
hub: PARMA
course unit
in ITALIAN

Learning objectives

The first important educational objective of the course is to understand how the evolution of organisms can also be explained by molecular data.
The second major objective of the course is the ability to get into databases of DNA and protein sequences and to select the data required for a particular biological problem.
The third major objective of the course is the ability to analyze this data and interpret the results.

Prerequisites

It is appreciated a good knowledge of Genetics, Mathematics,and Chemistry.
It is also appreciated a good knowledge of the English language.

Course unit content

The purpose of the course is to provide an evolutionary view of biological processes at the molecular level. The availability of a huge amount of molecular data, generated in the last decades, allows us a large number of analyzes. They can be large-scale studies (for example the analysis of the genomes) or studies on niche topics (for example the origin of new genes in the virus through the "overprinting" mechanism). The course provides students with both the technical ability to enter into the databases, and the ability to extract biological information "ad hoc", and then analyze it in response to a variety of questions and hypotheses. The course consists, largely, of theory. It is needed to understand the most important topics of molecular evolution. It is still supplemented by computer exercises. Particular attention is dedicated to some particular case studies. They include both analysis of large amounts of data (eukaryotic genomes) and analysis of small amounts of data (a family of proteins, small viral genomes).

Full programme

Molecular mechanisms at the basis of evolutionary processes
Homologous genes: orthologs and paralogs
Convergent and divergent evolution
Molecular clock
Co-evolution of the gene families
Genetic distance between protein coding sequences
Construction of phylogenetic trees and statistical methods for evaluating their robustness
Use of phyloghenetic trees for reconstructing the genealogy of viral overlapping genes
ID: applying knowledge and understanding
ID: learning skills

Organization and evolution of genomes
Genomes of prokaryotic organisms (Escherichia coli, Methanococcus jannaschii, Mycoplasma genitalium)
Genomes of eukaryotic irganisms (Saccharomyces cerevisiae, Caenorhabditis elegans, Drosophila melanogaster, Arabidopsis thaliana)
The genome of Homo sapiens
ID: knowledge and understanding
ID: communication skills
ID: learning skills

Databanks
Databanks of nucleotide and protein sequences. Databanks of polymorphic sites and mutations.
Databank of mitochondrial DNA sequences
Databank of gene expression
ID: applying knowledge and understanding
ID: communication skills
ID: learning skills

Alignment of nucleiotide and protein sequences
Similarity between sequences and algorithms for their alignment
Natural selection and random genetic drift from analysis of synonymous and non-synonymous substitutions
Matrices of amino acid substitutions (PAM, BLOSUM)
Multiple alignement of amino acid sequences and profiles of structural priperties
Search for similarities in databanks
ID: applying knowledge and understanding
ID: learning skills

Search for functional motifs in nucleotide and protein sequences
Identification of transcriptional promoters with algorithms of “signal search”
Different frequencies of synonymous codons in protein coding genes of eukaryotic and prokaryotic organisms
Genealogy of viral overlapping genes by “codon usage” approach
ID: knowledge and understanding
ID: learning skills

Case studies of molecular evolution
Adaptation at molecular level: the comparative analysis between the amino acid sequences of the glutamate-deydrogenase enzyme from thermophilic and mesophilic bacteria identies a few regions important for thermostability
ID: making judgements
ID: communication skills
ID: learning skills

Reconstruction of prehistoric human migrations: sequence analysis of the genome of polyomavirus JC suggests a dual exit from Africa of our ancestors
ID: making judgements
ID: communication skills
ID: learning skills

A curious mode of evolution: the origin of the overlapping genes pol/S of hepatitis B virus can be explained by a mechanism of “modular evolution”
ID: making judgements
ID: communication skills
ID: learning skills

Bioinformatics and genome analyis: search for eukaryotic tRNA genes with a “signal search” algorithm
ID: making judgements
ID: communication skills
ID: learning skills

The choice of the synonymous codons for a given amino acid is not random: the preference for a few synonymous codons in Saccharomyces cerevisiae increases the efficiency of the translation process
ID: making judgements
ID: communication skills
ID: learning skills

Bibliography

Dan Graur & Wen-Hsiung Li - Fundamentals of molecular evolution - Sinauer Associates, Sunderland, MA


Arthur M. Lesk - Introduzione alla Bioinformatica - McGraw-Hill

Lesson slides

Teaching methods

Lectures, in order to make clear to students the "why" and "how" of the main themes of molecular evolution. The course is also integrated by computer exercises.

Assessment methods and criteria

The assessment is based on an oral exam. The possibility that students propose their own subject of study is strongly encouraged. Particular attention is paid to the quality of the scientific language.

Other information

An important aspect of the course is the ability to pick up, in the lot of data of DNA and protein sequences, the more subtle details of some topics of molecular evolution.

2030 agenda goals for sustainable development

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Contacts

Toll-free number

800 904 084

Student registry office

T.+39 0521 905116
E.segreteria.scienze@unipr.it 

Quality assurance office

Education manager

Office E. didattica.scvsa@unipr.it

Education Manager:
Claudia Caselli

T. +39 0521 905613
Manager E. claudia.caselli@unipr.it

Course president

Donato Antonio Grasso

Faculty advisor

Alessandro Petraglia

Career guidance delegate

Paola Maria Valsecchi

Erasmus delegates

Alessandro Petraglia

Quality assurance manager

Corrado Rizzoli

Internships

Angelo Pavesi

Tutor students

De Matteis Chiara