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A rich TILLING resource for studying gene function in Brassica rapa
Pauline Stephenson1, David Baker, Thomas Girin
1Department of Crop Genetics, John Innes Centre, Norwich, NR4 7UH, UK.
Researchers developed a new Brassica rapa TILLING population for crop improvement. This resource has a high mutation density, enabling efficient gene function studies for oilseed rape.
Area of Science:
- Plant Science
- Genetics
- Genomics
Background:
- Brassicaceae family includes important crops like Brassica napus and model plant Arabidopsis thaliana.
- Brassica species are closely related to Arabidopsis, allowing knowledge transfer for crop improvement.
- Studying gene function directly in diploid Brassica rapa is efficient due to potential gene redundancy in amphidiploid Brassicas.
Purpose of the Study:
- To develop the first ethyl methane sulfonate (EMS) TILLING population in the diploid Brassica species, B. rapa.
- To create a valuable resource for reverse genetics studies in B. rapa, aiding oilseed rape crop improvement.
- To establish a densely mutated diploid organism for efficient gene function elucidation.
Main Methods:
- Ethyl methane sulfonate (EMS) treatment of B. rapa seeds (R-o-18 genotype) to create a TILLING population.
- DNA isolation from 9,216 M2 plants and pooling for TILLING platform.
- Analysis of six genes to determine mutation density and screening efficiency.
Main Results:
- A high mutation density of approximately 1 mutation per 60 kb was achieved in the B. rapa TILLING population.
- Screening a 1 kb amplicon in 3072 M2 plants yielded an average of 68 mutations, with a 97% probability of stop-codon mutations.
- Each plant contains an average of 10,000 mutations, with predicted mutations in half of the genome's GC base pairs.
Conclusions:
- The first EMS TILLING resource in the diploid Brassica species, B. rapa, has been successfully developed.
- This B. rapa TILLING population exhibits the highest mutation density reported for a diploid organism.
- The resource is publicly accessible via the RevGenUK reverse genetics platform for research use.
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