Code
178WE1711
Looptijd
01-10-2010 → 05-01-2016
Financiering
Regional and community funding: IWT/VLAIO
Promotor
Onderzoeksdisciplines
-
Natural sciences
- Scientific computing
- Bioinformatics and computational biology
- General biology
- Plant biology
-
Medical and health sciences
- Bioinformatics and computational biology
- Bioinformatics and computational biology
- Public health care
- Public health services
- Bioinformatics and computational biology
-
Engineering and technology
- Biomaterials engineering
- Biological system engineering
- Biomaterials engineering
- Biomechanical engineering
- Other (bio)medical engineering
- Environmental engineering and biotechnology
- Industrial biotechnology
- Other biotechnology, bio-engineering and biosystem engineering
- Scientific computing
Trefwoorden
phenotyperen
accessies
droogte tolerantie
ecotypes
natuurlijke variatie
arabidopsis
RNA-Seq
association mapping
GWAS
Projectomschrijving
In this project we want to unravel the plant’s growth regulatory network in mild drought. To study growth as quantitative trait we use the existing natural variation for this trait present in a collection of 100 different Arabidopsis accessions. Linking the transcriptome to the phenotypes of these accessions allows us to unravel the growth regulatory network of plants in drought.