BIOTECHNOLOGY FOR THE GENETIC IMPROVEMENT OF TREE SPECIESModule BIOINFORMATICS TOOLS FOR THE ANALYSIS OF AGRONOMIC TRAITS
Academic Year 2026/2027 - Teacher: GAETANO DISTEFANOExpected Learning Outcomes
Knowledge and understanding: The student will acquire specific knowledge on biotechnologies applied to the genetic improvement of fruit species, genome editing techniques and assisted selection with molecular markers.
Ability to apply knowledge and understanding: The student will be able to analyze genetic data to be used in plans for the improvement.
Autonomy of judgment (making Judgments): The knowledge and skills acquired during the course and in particular the individual study of some literature, and the critical analysis of literature will allow the student to achieve autonomy of judgment and ability to study and to operate independently.
Communication skills (communication skills): Lectures, other activities and individual study on selected teaching material will allow the student to acquire the basics of technical language, also in English. The student will be stimulated to use technical language in the relevant classroom, as well as during the other activities. The property of technical language contributes to the final evaluation of the student.
Learning skills (learning skills): During the course, the activity of collecting and examining scientific literature and writing scientific reports is aimed at preparing the student for self-employment and critical analysis of literature. These skills are useful for the preparation of the degree thesis, for the drafting of a research project for access to the doctorate and for the continuous updating of the knowledge and skills necessary for the profession.
Course Structure
The course (3 ECTS) includes 7 hours of lectures and 14 hours of other activities. For lectures, the instructor will make use of PowerPoint presentations, also in English. As part of the other activities, computer-based exercises will be carried out in the form of a mini-course on some main topics (e.g., population genetics, identification of polymorphisms in genomic data), as well as seminars (including online).
In order to guarantee equal opportunities and in compliance with current legislation, interested students may request a personal meeting to plan any compensatory and/or dispensatory measures, based on the learning objectives and specific needs. It is also possible to contact the CInAP (Center for Active and Participatory Inclusion – Services for Disabilities and/or Specific Learning Disorders) representative of our Department.
Required Prerequisites
Knowledge of principles of plant genetics and biomolecular methodologies is recommended
Attendance of Lessons
Detailed Course Content
ntroduction to Bioinformatics
Population Genetics
PCA
Structure
Admixture analysis
Phylogenetic trees
Sequencing Techniques
Genome Assembly
Evaluation of assembly quality: metrics, coverage analysis, and BUSCO
Transcriptomics
RNA-Seq analysis
In silico Identification of Polymorphisms
SNPs
Structural Variants
INDELs
SSRs
Textbook Information
Materiale didattico fornito dal docente [2]
Course Planning
| Subjects | Text References | |
|---|---|---|
| 1 | Introduzione alla bioinformatica | |
| 2 | Genetica di popolazione | |
| 3 | Tecniche di sequenziamento | |
| 4 | Assemblaggio di genomi | |
| 5 | Trascrittomica | |
| 6 | Identificazione in silico di polimorfismi: SNP, Varianti Strutturali, INDELs, SSR |
Learning Assessment
Learning Assessment Procedures
Oral examination. In particular, the relevance of the answers to the questions asked, the quality of the contents, the ability to connect with other topics covered by the program, the ability to report examples, the technical language properties and the overall expressive ability of the student will be assessed.
Verification of learning can also be carried out electronically, should the conditions require it.
Learning assessment may also be carried out on line, should the conditions require it.
Verification of learning takes place through an oral interview. The evaluation of the student's preparation will take place on the basis of the following criteria: learning ability and level of depth of the topics covered, properties of synthesis and exposition, and the student's ability to reason.
The vote follows the following scheme:
Unsuitable
Knowledge and understanding of the topic: Important shortcomings. Significant inaccuracies
Analysis and synthesis skills: Irrelevant. Frequent generalizations. Inability to synthesize
Use of references: Completely inappropriate
18-20
Knowledge and understanding of the topic: At the threshold level. Obvious imperfections
Ability to analyze and synthesize: Just enough skills
Use of references: As appropriate
21-23
Knowledge and understanding of the topic: Routine knowledge Analysis and synthesis skills: It is capable of correct analysis and synthesis. Argue logically and consistently
Use of references: Use standard references
24-26
Knowledge and understanding of the topic: Good knowledge
Analysis and synthesis skills: Has good analysis and synthesis skills. The arguments are expressed consistently
Use of references: Use standard references
27-29
Knowledge and understanding of the topic: Knowledge more than good
Ability to analyze and synthesize: He has considerable abilities of analysis and synthesis
Use of references: Has explored the topics
30-30L
Knowledge and understanding of the topic: Excellent knowledge
Ability to analyze and synthesize: He has considerable abilities of analysis and synthesis.
Examples of frequently asked questions and / or exercises
The candidate should illustrate the logical steps for genome assembly.
The candidate should illustrate the main techniques for studying genetic variability within a germplasm collection.
The candidate should describe the characteristics of a Variant Calling Format (VCF) file.