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Nested Association Mapping of Stem Rust Resistance in Wheat Using Genotyping by Sequencing.
Prabin Bajgain1,2, Matthew N Rouse3,4, Toi J Tsilo5
1Department of Agronomy, Purdue University, 915 West State Street, West Lafayette, IN 47907, United States of America.
Plos One
|May 18, 2016
Summary
Researchers identified 59 quantitative trait loci (QTL) for stem rust resistance in wheat using genotyping by sequencing (GBS) and joint mapping. These findings advance understanding of wheat
Area of Science:
- Plant Genetics
- Agricultural Science
- Molecular Biology
Background:
- Stem rust, caused by Puccinia graminis f. sp. tritici (Pgt), poses a significant threat to global wheat production.
- Understanding the genetic basis of adult plant resistance (APR) is crucial for developing durable disease management strategies.
Purpose of the Study:
- To dissect the genetic architecture of stem rust resistance in wheat (Triticum aestivum) using a combination of genotyping by sequencing (GBS) and joint mapping.
- To identify quantitative trait loci (QTL) associated with resistance to North American Pgt races and the Ug99 race group.
Main Methods:
- Generation of F6 recombinant inbred line (RIL) populations from crosses between 10 resistant wheat varieties and one susceptible line (LMPG-6).
- Phenotyping of RILs across multiple environments (Kenya, South Africa, USA).
- Application of joint mapping (nested association mapping) using GBS-derived de novo SNPs to identify QTL.
Main Results:
- Identification of 59 minor and medium-effect QTL distributed across 20 chromosomes, explaining 1%-20% of phenotypic variance.
- Fifteen QTL were consistently detected in multiple environments, indicating robustness.
- Founder parents exhibited differential allelic effects for the identified QTL.
Conclusions:
- Joint mapping combined with GBS is an effective approach for dissecting complex genetic traits like stem rust resistance in wheat.
- The identified QTL provide valuable genomic regions for further investigation into candidate genes conferring resistance.
- This study provides a model for applying GBS-derived SNPs in marker-trait association studies for other plant species.

