Biodiagnostic methods and high-throughput -omics technologies
| Title | ΒΙΟΔΙΑΓΝΩΣΤΙΚΕΣ ΜΕΘΟΔΟΙ ΚΑΙ ΟΛΙΣΤΙΚΕΣ (-OMICS) ΤΕΧΝΟΛΟΓΙΕΣ / Biodiagnostic methods and high-throughput -omics technologies |
| Code | GPP107 |
| Faculty | Agriculture, Forestry and Natural Environment |
| School | Agriculture |
| Cycle / Level | 2nd / Postgraduate, 3rd / Doctorate |
| Teaching Period | Spring |
| Coordinator | Alexios Polidoros |
| Common | Yes |
| Status | Active |
| Course ID | 600017388 |
Programme of Study: Prógramma metaptychiakṓn Spoudṓn Genetikī, Veltíōsī fytṓn kai Paragōgī Pollaplasiastikoý Ylikoý
Registered students: 4
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| KORMOS - Ypochreōtiká & Epilogīs | Elective Courses | 2 | 1 | 7 |
| Academic Year | 2023 – 2024 |
| Class Period | Spring |
| Faculty Instructors |
|
| Instructors from Other Categories |
|
| Weekly Hours | 4 |
| Total Hours | 52 |
| Class ID | 600239651
|
Course Type 2021
Specific Foundation
Course Type 2011-2015
Knowledge Deepening / Consolidation
Mode of Delivery
- Face to face
- Distance learning
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600239651
- eLearning: https://elearning.auth.gr/course/view.php?id=8489
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
- Greek (Instruction, Examination)
- English (Examination)
Prerequisites
Required Courses
- GPP101 Molecular Breeding and Biotechnology
Learning Outcomes
Upon completion of the course, students will acquire basic knowledge about the holistic technologies of large-scale biological systems analysis (omics). They will become familiar with genome-metagenome, proteome and metabolome analysis methodologies and understand applications in plant breeding. They will understand the requirements and processes of applying holistic technologies to breeding programs and will be able to use these technologies in their research.
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Adapt to new situations
- Make decisions
- Work autonomously
- Work in teams
- Work in an international context
- Work in an interdisciplinary team
- Generate new research ideas
- Design and manage projects
- Advance free, creative and causative thinking
Course Content (Syllabus)
Genome-metagenome analysis and applications. Genomic manipulations, association characterization, genome-wide selection and refinement (GWAS), genetic characterization, microbial community analysis of environmental samples, microbe-plant interactions, microbial communities in plant pathology. Transcriptome analysis and gene ontology, gene expression, differential expression, response to biotic and abiotic stresses, correlation with productivity and yield. Proteome analysis, differential protein synthesis, protein interactions, post-translational modifications, proteome modulation during plant growth and development, relationships with stress response, network mapping. Metabolome analysis, metabolic responses to stresses, secondary metabolism and medicinal and aromatic plants, characterization of metabolites in genetically modified plants. Analysis of metabolic fluxes. Detection of plant diseases by molecular techniques. Application of biodiagnostic technologies in the identification of species and varieties.
Keywords
genomics, metagenomics, transcriptomics, proteomics, metabolomics, bioinformatics, next generation sequencing
Educational Material Types
- Notes
- Slide presentations
- Multimedia
- Interactive excersises
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Course Teaching
- Use of ICT in Laboratory Teaching
- Use of ICT in Communication with Students
- Use of ICT in Student Assessment
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 65 | ✓ | |||
| Seminars | 10 | ✓ | |||
| Reading Assigment | 45 | ✓ | |||
| Tutorial | 26 | ✓ | |||
| Interactive Teaching in Information Center | 10 | ✓ | |||
| Project | 20 | ✓ | ✓ | ||
| Written assigments | 22 | ✓ | ✓ | ||
| Exams | 2 | ✓ | |||
| Total | 200 |
Student Assessment
Description
Written Examination with Multiple Choice Questions (Formative, Inferential) Written Examination with Short Answer Questions (Formative, Inferential) Written Examination with Extended Answer Questions (Formative, Inferential) Written Assignment (Formative, Inferential) Public Presentation (Formative)
Evaluation Methods:
Written Exam with Multiple Choice Questions (Formative, Inferential), Written Exam with Short Answer Questions (Formative, Inferential), Written Exam with Extended Answer Questions (Formative, Inferential), Written Assignment (Formative, Inferential), Public Presentation (Formative)
Student Assessment methods
- Written Exam with Multiple Choice Questions (Formative, Summative)
- Written Exam with Short Answer Questions (Formative, Summative)
- Written Exam with Extended Answer Questions (Formative, Summative)
- Written Assignment (Formative, Summative)
- Performance / Staging (Formative)
Bibliography
Additional bibliography for study
Plant Cell Physiol. 52(12): 2017–2038 (2011) doi:10.1093/pcp/pcr153
J. Agric. Food Chem. 2006, 54, 8984-8994 , https://pubs.acs.org/doi/10.1021/jf061218t
Kumar R, Bohra A, Pandey AK, Pandey MK and Kumar A (2017) Metabolomics for Plant Improvement: Status and Prospects. Front. Plant Sci. 8:1302. doi: 10.3389/fpls.2017.01302
Last Update
24-01-2024
