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2020/2021

Plant System Biology

Code: 43867 ECTS Credits: 6
Degree Type Year Semester
4316231 Plant Biology, Genomics and Biotechnology OT 0 2
The proposed teaching and assessment methodology that appear in the guide may be subject to changes as a result of the restrictions to face-to-face class attendance imposed by the health authorities.

Contact

Name:
Ana Martin Hernandez
Email:
AnaMontserrat.Martin@uab.cat

Use of Languages

Principal working language:
english (eng)

Teachers

Amparo Monfort Vives
Ana Martin Hernandez

External teachers

Elena Monte
Jae-Seong Yang
Juan José López Moya
Maria Lois
Martí Bernardo

Prerequisites

Basic knowledge of Genetics

Objectives and Contextualisation

To provide students with a comprehensive and current view of the techniques, fundamentals and applications of Plant Genomics and introduce systems biology of plants. The specific objectives include understanding the following aspects: the diversity and complexity of plant genomes, the techniques commonly used in genomics, transcriptomics, proteomics and metabolomics studies and applications to the genetic improvement of crop plants. Use of mathematics for predictive modeling through integration of different omics data.

Competences

  • Apply knowledge of plant molecular genetics in different scientific and industrial areas.
  • Communicate and justify conclusions clearly and unambiguously to both specialised and non-specialised audiences.
  • Develop critical reasoning in the area of study and in relation to the scientific and business environment.
  • Identify and use Bio-Computer Science tools to be applied to the genetic, evolutionary and functional study of plants.
  • Integrate knowledge and use it to make judgements in complex situations, with incomplete information, while keeping in mind social and ethical responsibilities.
  • Solve problems in new or little-known situations within broader (or multidisciplinary) contexts related to the field of study.
  • Synthesize, and analyze alternatives and debate critically.
  • Use and manage bibliographical information and computer resources in the area of study.
  • Use scientific terminology to argue the results of research and present them in English both orally and in writing in an international environment.

Learning Outcomes

  1. Apply mathematical methods of analysis and predictive modelling through the integration of different types of omic experimental data.
  2. Communicate and justify conclusions clearly and unambiguously to both specialised and non-specialised audiences.
  3. Develop critical reasoning in the area of study and in relation to the scientific and business environment.
  4. Distinguish and apply the methods and techniques used normally in studies of genomics, phenomics, transcriptomics, proteomics and metabolomics.
  5. Integrate knowledge and use it to make judgements in complex situations, with incomplete information, while keeping in mind social and ethical responsibilities.
  6. Solve problems in new or little-known situations within broader (or multidisciplinary) contexts related to the field of study.
  7. Synthesize, and analyze alternatives and debate critically.
  8. Use and manage bibliographical information and computer resources in the area of study.
  9. Use scientific terminology to argue the results of research and present them in English both orally and in writing in an international environment.

Content

Systems Biology: Concepts, methodology, and case studies using multiple omics.

The case study will be the emergence of a new disease affecting and killing all tomato varieties. The students will make a trip through all the -omics to unveil the cause and search for a scientific solution feasible for application in crop plant breeding.

Specifically,

We will use practical applications of methods and techniques in plant phenomics and genomics, including the use of molecular markers in breeding. Importance of QTL in this problem.

Analysis and application of data arising from genomics and transcriptomics studies to narrow down the problem.

Analysis and application of data arising from proteomics, interactomics, and metabolomics studies to find a solution to the problem.

Integrative analysis of the case study applied, including Computational modelling, to crop plant breeding.

  *Unless the requirements enforced by the health authorities demand a prioritization or reduction of these contents.

Methodology

Lectures and Expert talks

Problems and case studies

Preparation of reports

Personal study

*The proposed teaching methodology may experience some modifications depending on the restrictions to face-to-face activities enforced by health authorities.

Activities

Title Hours ECTS Learning Outcomes
Type: Directed      
Lectures and Expert Talks 11 0.44 1, 5
Problems and case studies 24 0.96 3, 4, 6, 9
Type: Supervised      
Preparation of reports 30 1.2 2, 7, 9
Type: Autonomous      
Personal study 84 3.36 8

Assessment

Continuous evaluation 10%

Report 60%

Final Quiz 30%

*Student’s assessment may experience some modifications depending on the restrictions to face-to-face activities enforced by health authorities.

Assessment Activities

Title Weighting Hours ECTS Learning Outcomes
Continuous evaluation of students' participation 10% 0 0 1, 3, 4, 5, 6
Final quiz 30% 1 0.04 6
Reports 60% 0 0 2, 7, 8, 9

Bibliography

Yunbi Xu Molecular Plant Breeding. CAB International Oxfordshire, UK disponible online a Biblioteca UAB :http://www.cabi.org/cabebooks/FullTextPDF/2010/20103101750.pdf

 

Articles and specific reviews recommended during classe