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Updated: May 13, 2026

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Development of Targeting Induced Local Lesions IN Genomes (TILLING) Populations in Small Grain Crops by Ethyl Methanesulfonate Mutagenesis
Published on: July 16, 2019
SMART--Sunflower Mutant population And Reverse genetic Tool for crop improvement.
Anish P K Kumar1, Adnane Boualem, Anjanabha Bhattacharya
1Bench Bio Pvt Ltd., c/o Jai Research Foundation, Vapi, Gujarat 396195, India.
BMC Plant Biology
|March 19, 2013
Summary
Researchers developed a new sunflower genetic resource using chemical mutagenesis and TILLING to find new traits. This resource identified 26 mutations in key fatty acid biosynthesis genes, aiding crop improvement.
Area of Science:
- Plant genetics and breeding
- Molecular biology
- Agricultural science
Background:
- Sunflower (Helianthus annuus L.) is a globally significant oilseed crop.
- Classical genetics has been used for sunflower improvement.
- A novel chemically induced mutated genetic resource for Single Nucleotide Polymorphism (SNP) detection by TILLING was developed for sunflower.
Purpose of the Study:
- To create a valuable genetic resource for sunflower crop improvement.
- To identify new traits in sunflower through induced mutations.
- To establish a TILLING (Targeting Induced Local Lesions IN Genomes) platform for sunflower.
Main Methods:
- Optimized ethyl methanesulfonate (EMS) mutagenesis using a "kill curve" analysis to determine the LD50 (lethal dose for 50% of subjects).
- Generated 5,000 M2 populations and 4,763 M3 plants with fertile seeds.
- Established a sunflower TILLING platform utilizing Endo-1-nuclease and an eight-fold DNA pooling strategy.
Main Results:
- A dose of 0.6% EMS for 8 hours yielded a 50% survival rate.
- Phenotypic characterization of 5,000 M2 lines revealed approximately 1.1% exhibited variations.
- Screening identified 26 mutations in the FatA and SAD genes involved in fatty acid biosynthesis.
Conclusions:
- The overall mutation rate was calculated at one mutation per 480 kb, consistent with previous findings.
- The developed genetic resource is anticipated to be a valuable tool for discovering novel traits in sunflower.
- This resource will aid in the improvement of sunflower as a model plant for seed oil biosynthesis.
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