High throughput SNP discovery and genotyping in hexaploid wheat
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(Published version)
Date
2018
Authors
Rimbert, H.
Darrier, B.
Navarro, J.
Kitt, J.
Choulet, F.
Leveugle, M.
Duarte, J.
Rivière, N.
Eversole, K.
Le Gouis, J.
Editors
Zhang, A.
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Journal article
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PLoS ONE, 2018; 13(1):e0186329-1-e0186329-19
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Hélène Rimbert, Benoît Darrier, Julien Navarro, Jonathan Kitt, Frédéric Choulet, Magalie Leveugle ... et al.
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Abstract
Because of their abundance and their amenability to high-throughput genotyping techniques, Single Nucleotide Polymorphisms (SNPs) are powerful tools for efficient genetics and genomics studies, including characterization of genetic resources, genome-wide association studies and genomic selection. In wheat, most of the previous SNP discovery initiatives targeted the coding fraction, leaving almost 98% of the wheat genome largely unexploited. Here we report on the use of whole-genome resequencing data from eight wheat lines to mine for SNPs in the genic, the repetitive and non-repetitive intergenic fractions of the wheat genome. Eventually, we identified 3.3 million SNPs, 49% being located on the B-genome, 41% on the A-genome and 10% on the D-genome. We also describe the development of the TaBW280K high-throughput genotyping array containing 280,226 SNPs. Performance of this chip was examined by genotyping a set of 96 wheat accessions representing the worldwide diversity. Sixty-nine percent of the SNPs can be efficiently scored, half of them showing a diploid-like clustering. The TaBW280K was proven to be a very efficient tool for diversity analyses, as well as for breeding as it can discriminate between closely related elite varieties. Finally, the TaBW280K array was used to genotype a population derived from a cross between Chinese Spring and Renan, leading to the construction a dense genetic map comprising 83,721 markers. The results described here will provide the wheat community with powerful tools for both basic and applied research.
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© 2018 Rimbert et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.