Methods in biotechnology

A.A. 2021/2022
10
Crediti massimi
120
Ore totali
SSD
AGR/07 AGR/11 AGR/12
Lingua
Inglese
Obiettivi formativi
The course is subdivided in 3 modules. The goal is to acquire knowledge and operational competencies in genomics, functional genomics and applications to plant improvement and to molecular taxonomy.
Risultati apprendimento attesi
The student will acquire competencies in generating and analyzing data through the genomics and functional-genomics techniques. The student will be able to plan experiments using genomic sequencing, gene expression analyses, and their integration with metabolomics and proteomics. The student will be able to understand and apply knowledge in molecular taxonomy.
Programma e organizzazione didattica

Edizione unica

Responsabile
Periodo
Primo semestre
E-learning may be used, if required by the current legislation, to provide didactically innovative content (team work, journal club). In specific cases, asynchronous lessons may be made available.
Programma
Section 1 Molecular taxonomy.
- Applications of molecular taxonomy from agri-food security to biodiversity and biomonitoring;
- Principles and methods of molecular taxonomy;
- DNA extraction from agri-food and other environmental matrices;
- DNA barcoding and metabarcoding: from single organism to communities;
- NGS sequences platform used in metabarcoding;
- Single marker vs multiple markers, PCR-free gene capture approaches;
- Reference databases and ad-hoc built databases;
- Workshops will be conducted on experimental design, primer selection and library preparation,
basic skills on bash environments, analyses of NGS data and taxonomy assignment

Section 2- Genomics.
- Techniques and approaches in genome, exome and epigenome sequencing;
- Strategies for plant genome analysis and assembly;
- Plant genome structure, synteny and evolution;
- Applications of genomics in plant breeding;
- Workshops will be conducted on sequence analysis and alignments; design of experiments in plant genomics;

Section 3 Functional genomics.
- Techniques and approaches in RNA analysis and modulation;
- Strategies for genome modification;
- Integration of high throughput /content techniques (omics) and data analysis;
- Workshops will be conducted on gene targeting; RNA expression analysis and integrated omics to modulate biological functions.
Prerequisiti
PLEASE CHECK THE SYLLABUS PROVIDED IN THE MOODLE PAGE OF THE COURSE!!!
The student can take full advantage of the teachings if some background is known about molecular biology, molecular genetics (molecular markers and their use), organic chemistry, and biochemistry.
These topics, for example, are a useful wealth of knowledge: Plant cell, haploid-diploid development cycle of higher plants, mitosis and meiosis
Chemical composition and structure of DNA, the Watson and Crick model, DNA replication, gene structure of a eukaryote, transcription, translation, genetic code, expression regulation, dogma of molecular biology
Mutations, molecular basis of mutations, point mutations, IN / DEL, gene mutations, chromosomal.
Polyploidy, auto and allopolyploidy. Causes and mechanisms of origin, advantages of polyploidy. Importance in domestication, diffusion.
Mendel, theory and practice of Classical Mendelian Genetics, inheritance of simple characters, Mendel's three laws, Chi2 test
Chromosomal theory of inheritance
Dominance, semi-dominance (partial dominance), co-dominance. Meaning in allogamic and autogamous species. Genetic load in genetic species and purifying selection in autogamous species. Allard hypothesis
Gene interaction or epistasis and pleiotropy.
Gene association and recombination, crossing over, recombination, calculation of map distances between loci, genetic maps, linkage.
Transition from gene markers to molecular markers. Genetic and molecular markers, concepts, types (RFLP, SSR, SNP, IN / DEL) and their use, PCR, genome sequencing, genomic databases, outline of Next Generation Sequencing
Gene haplotypes at the causal loci of natural gene variability and haplotypes with diagnostic molecular markers.
Quantitative or complex traits, normal distribution: multifactorial hypothesis, genetic control of quantitative traits. QTL: loci for quantitative characters.
Heterosis.
Basics of the genetic improvement of autogamous and allogamic plants and selection assisted by molecular markers.
Metodi didattici
5 CFU are provided by lectures (genomics 2CFU; functional genomics 2CFU; molecular taxonomy 1CFU); 5CFU are provided by practical workshops (genomics 1.5CFU; functional genomics 1.5; molecular taxonomy 2 CFU). Lectures and workshops are developed using IT platforms (MS Teams and MOODLE), or in the classroom. Experimental simulations will be conducted using specific software. Depending on the circumstances, an offsite training tour may be organized.
Materiale di riferimento
The slides (in English) will be timely provided during the course and will include explanatory text; additionally, papers and books abstracts will be posted on the Ariel website of the course. Suggested text books:-Genomes (T.A. Brown, 2018); Molecular Plant Taxonomy - Methods and Protocols. Ed. Pascale Besse. Humana Press, 2014.-Environmental DNA for biodiversity research and monitoring. P. Taberlet, A. Bonin, L. Zinger, E. Coissac. Oxford University Press, 2018; Bioinformatics and Functional Genomics, 3rd Edition Jonathan Pevsner ISBN: 978-1-118-58178-0 October 2015 Wiley-Blackwell 1168 Pages
Modalità di verifica dell’apprendimento e criteri di valutazione
1. evaluation of the teamwork developed during each of the course modules. Students will actively participate in the realization of team workshops and / or the presentation of scientific articles, where they will have to demonstrate their ability to interpret data and plan experiments. Both the contribution of individuals and the work of the team are evaluated. These activities can lead to a total of 3 points over the 30 available.
2. evaluation of acquired knowledge. After the end of the course, students take a written exam in the classroom , consisting of 15 questions, in two hours. Each module contributes 5 questions. Of these, two are open and require the drafting of a short text. The other questions are closed and require ability to use the data and knowledge acquired to solve problems.
Specific procedures for students with disabilities or specific learning disabilities (DSA) will be applied also for telematic exams. Here the complete information:
https://www.unimi.it/en/study/student-services/services-students-disabi…
https://www.unimi.it/en/study/student-services/services-students-specif…
In case you need specific procedures, please inform the teacher by mail at least 10 days before the exam, including in the addresses ufficiodisabili@unimi.it or serviziodsa@unimi.it.
Moduli o unità didattiche
Functional genomics
AGR/07 - GENETICA AGRARIA - CFU: 0
AGR/11 - ENTOMOLOGIA GENERALE E APPLICATA - CFU: 0
AGR/12 - PATOLOGIA VEGETALE - CFU: 0
Esercitazioni in aula informatica: 16 ore
Lezioni: 24 ore
Docente: Pasquali Matias

Genomics
AGR/07 - GENETICA AGRARIA - CFU: 0
AGR/11 - ENTOMOLOGIA GENERALE E APPLICATA - CFU: 0
AGR/12 - PATOLOGIA VEGETALE - CFU: 0
Esercitazioni in aula informatica: 16 ore
Esercitazioni: 16 ore
Lezioni: 8 ore

Molecular taxonomy
AGR/07 - GENETICA AGRARIA - CFU: 0
AGR/11 - ENTOMOLOGIA GENERALE E APPLICATA - CFU: 0
AGR/12 - PATOLOGIA VEGETALE - CFU: 0
Esercitazioni in aula informatica: 32 ore
Lezioni: 8 ore
Docente: Montagna Matteo

Siti didattici
Docente/i
Ricevimento:
martedì 8:00 - 12:00, previo appuntamento
Via Celoria, 2 - Edificio 21070 - secondo piano, ufficio 2010
Ricevimento:
su appuntamento
R056 (via celoria 2)
Ricevimento:
Mercoledi 10-12
DISAA - Biblioteca