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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
A Sorghum Mutant Resource as an Efficient Platform for Gene Discovery in Grasses
Yinping Jiao1, John Burke2, Ratan Chopra2
1Plant Stress and Germplasm Development Unit, Cropping Systems Research Laboratory, U.S. Department of Agriculture-Agricultural Research Service, Lubbock, Texas 79415 Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724.
Researchers created a large resource of sequenced sorghum mutants to accelerate gene discovery and crop improvement. This provides an efficient platform for validating gene functions and enhancing sorghum breeding for traits like drought tolerance.
Area of Science:
- Plant genetics
- Crop science
- Genomics
Background:
- Sorghum (Sorghum bicolor) is a vital C4 crop and a model organism for Poaceae research.
- Functional gene validation in sorghum is hindered by limited genomic and germplasm resources for induced mutation analysis.
Purpose of the Study:
- To develop a comprehensive, sequenced mutant resource for sorghum (Sorghum bicolor).
- To facilitate efficient functional gene validation and accelerate sorghum breeding programs.
Main Methods:
- Generated 6400 pedigreed M4 mutant pools from EMS-mutagenized BTx623 sorghum seeds via single-seed descent.
- Performed whole-genome sequencing on 256 phenotyped mutant lines.
- Conducted reverse genetics to identify genes associated with drought tolerance.
Main Results:
- Sequencing identified over 1.8 million EMS-induced mutations across >95% of sorghum genes, with 97.5% distinct from natural variations.
- Identified eight genes potentially involved in drought tolerance, including allelic mutations and cosegregating mutations.
- Established a valuable sequenced sorghum mutant resource for functional genomics.
Conclusions:
- A large-scale, sequenced pedigreed mutant resource significantly enhances gene functional validation in sorghum.
- This resource accelerates sorghum breeding and facilitates the translation of findings to other Poaceae species through integrated genomics.
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