6 EC
Semester 1, period 2
5042ECOG6Y
The field of ecogenomics strives to uncover the genetic and molecular mechanisms influencing the response and adaptation of organisms to their environment. Achieving this requires a good understanding of what are important phenotypes and needs plant species with a well-developed genomic tool-kit. Molecular biological and genomic tools have primarily been developed for model organisms (such as yeast and Arabidopsis), while many organisms that are the focus of ecological and agricultural research only have limited genomic resources.
In this course, you will learn how ecogenomics unites genomic and ecological approaches by exploring the natural variation in model or crop species and their relatives. We will explore the underlying principles of genomics and how they are being applied in ecogenomics. We will focus on ecogenomic studies of abiotic and biotic stress responses . Specific approaches that will be discussed include: adaptation to abiotic and biotic stress, phenotyping (including expression analysis, transcriptomics; metabolomics; microbiome analysis), genetic, QTL and GWAS, mapping, gene regulation, gene candidate verification, the use of ecogenomics in breeding and ecology, etc. Hands-on training will include: a practical on mapping in tomato, data analysis and statistics, the use of genomic databases and tools, quantitative trait loci (QTL) analysis and genome-wide association mapping.
Several textbooks will be used by the lecturers, including "Molecular Biology of the Cell" by Alberts et al, "Evolutionary Analysis" by Freeman & Herron, "A Primer of Genome Science" by Gibson and Muse. Other reading materials are provided on Canvas.
A practical manual will be provided through Canvas at the start of the course
Software tools for GWAS data and other analyses will be provided
Selected reviews and primary literature are available on Canvas
|
Activity |
Hours |
|
|
Hoorcollege |
26 |
|
|
Laptopcollege |
20 | |
|
Practicum |
24 |
|
|
Presentatie |
8 |
|
|
Tentamen |
4 |
|
|
Tutoraat |
6 |
|
|
Werkcollege |
20 |
|
|
Self study |
60 |
|
|
Total |
168 |
(6 EC x 28 uur) |
Programme's requirements concerning attendance (OER-B):
Additional requirements for this course:
Attendance at lectures is highly recommended. Attendance during practical components is mandatory. The latter also applies to all (computer) practicals and tutorials. If you are unable to participate due to personal circumstances (such as illness or special family circumstances), please contact the course coordinator by e-mail. The course coordinator will then discuss with you whether there are options to participate/contribute in an alternative way (e.g. online) or compensate your absence later. If you are not able to follow education for a long time (longer than 1 week), please also contact the study advisor.
| Item and weight | Details |
|
Final grade | |
|
1 (100%) Tentamen |
The final grade is composed of the exam (0.6) and the practical performance, attitude and presentations (0.4). A student has passed the course when the exam scores 5.0 or higher and the weighted final grade is 5.5 or higher.
For at least twenty working days after the announcement of the results of a written examination, the student can, on request, inspect his/her assessed work, the questions and assignments set, as well as the standards applied for marking. The place and time will be announced via Canvas (from Teaching and Examination Regulations).
Two oral presentations about practical results and GWAS analysis, in groups
The 'Regulations governing fraud and plagiarism for UvA students' applies to this course. This will be monitored carefully. Upon suspicion of fraud or plagiarism the Examinations Board of the programme will be informed. For the 'Regulations governing fraud and plagiarism for UvA students' see: www.student.uva.nl
| Weeknummer | Onderwerpen | Studiestof |
|
1 |
Intro, adaptation, phenotyping, gene regulation |
See Canvas |
|
2 |
QTL mapping, use of ecogenomics for breeding and ecology |
See Canvas |
|
3 |
Practical introgression mapping |
See Canvas |
|
4 |
Practical GWAS data anlaysis |
See Canvas |
| 5 | ||
| 6 | ||
| 7 | ||
| 8 |
The schedule for this course is published on DataNose.
h.j.bouwmeester@uva.nl