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High throughput SNP discovery and genotyping in hexaploid wheat
Hélène Rimbert1, Benoît Darrier1, Julien Navarro1
1GDEC, INRA, Université Clermont Auvergne, Clermont-Ferrand, France.
Plos One
|January 3, 2018
Summary
Researchers discovered 3.3 million Single Nucleotide Polymorphisms (SNPs) across the wheat genome, including intergenic regions. They developed the TaBW280K genotyping array, proving effective for diversity analysis and genetic mapping in wheat.
Area of Science:
- Plant Genomics
- Wheat Genetics
- Molecular Biology
Background:
- Single Nucleotide Polymorphisms (SNPs) are crucial for genetic studies but previous wheat research largely ignored non-coding regions.
- Exploiting the vast, uncharacterized regions of the wheat genome is essential for comprehensive genetic analysis.
Purpose of the Study:
- To discover novel SNPs across the entire wheat genome, including genic and intergenic regions.
- To develop and validate a high-throughput SNP genotyping array for wheat.
- To construct a dense genetic map for wheat.
Main Methods:
- Whole-genome resequencing data from eight wheat lines were analyzed to identify SNPs.
- A high-throughput genotyping array (TaBW280K) was designed with 280,226 SNPs.
- The array's performance was assessed using 96 diverse wheat accessions and a mapping population.
Main Results:
- Identified 3.3 million SNPs, with significant distribution across the A, B, and D genomes.
- The TaBW280K array successfully genotyped 69% of SNPs, demonstrating utility for diversity analysis and discriminating elite varieties.
- A dense genetic map with 83,721 markers was constructed using the TaBW280K array.
Conclusions:
- The study provides a substantial SNP resource and a powerful genotyping tool for wheat genetics and breeding.
- The TaBW280K array facilitates advanced genetic diversity assessments and the development of improved wheat varieties.
- The generated genetic map offers a valuable resource for future wheat research and crop improvement.
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