Haplotype-based genome-wide association increases the predictability of leaf rust (Puccinia triticina) resistance in wheat

© The Author(s) 2020. Published by Oxford University Press on behalf of the Society for Experimental Biology. All rights reserved. For permissions, please email: journals.permissionsoup.com.

Bibliographische Detailangaben
Veröffentlicht in:Journal of experimental botany. - 1985. - 71(2020), 22 vom: 31. Dez., Seite 6958-6968
1. Verfasser: Liu, Fang (VerfasserIn)
Weitere Verfasser: Jiang, Yong, Zhao, Yusheng, Schulthess, Albert W, Reif, Jochen C
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2020
Zugriff auf das übergeordnete Werk:Journal of experimental botany
Schlagworte:Journal Article Research Support, Non-U.S. Gov't Association mapping FH-based GWAS SNP-based GWAS functional haplotype hybrid wheat independent validation leaf rust predictability
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520 |a © The Author(s) 2020. Published by Oxford University Press on behalf of the Society for Experimental Biology. All rights reserved. For permissions, please email: journals.permissionsoup.com. 
520 |a Resistance breeding is crucial for sustainable control of wheat leaf rust and single nucleotide polymorphism (SNP)-based genome-wide association studies (GWAS) are widely used to dissect leaf rust resistance. Unfortunately, GWAS based on SNPs often explained only a small proportion of the genetic variation. We compared SNP-based GWAS with a method based on functional haplotypes (FH) considering epistasis in a comprehensive hybrid wheat mapping population composed of 133 parents plus their 1574 hybrids and characterized with 626 245 high-quality SNPs. In total, 2408 and 1 139 828 significant associations were detected in the mapping population by using SNP-based and FH-based GWAS, respectively. These associations mapped to 25 and 69 candidate regions, correspondingly. SNP-based GWAS highlighted two already-known resistance genes, Lr22a and Lr34-B, while FH-based GWAS detected associations not only on these genes but also on two additional genes, Lr10 and Lr1. As revealed by a second hybrid wheat population for independent validation, the use of detected associations from SNP-based and FH-based GWAS reached predictabilities of 11.72% and 22.86%, respectively. Therefore, FH-based GWAS is not only more powerful for detecting associations, but also improves the accuracy of marker-assisted selection compared with the SNP-based approach 
650 4 |a Journal Article 
650 4 |a Research Support, Non-U.S. Gov't 
650 4 |a Association mapping 
650 4 |a FH-based GWAS 
650 4 |a SNP-based GWAS 
650 4 |a functional haplotype 
650 4 |a hybrid wheat 
650 4 |a independent validation 
650 4 |a leaf rust 
650 4 |a predictability 
700 1 |a Jiang, Yong  |e verfasserin  |4 aut 
700 1 |a Zhao, Yusheng  |e verfasserin  |4 aut 
700 1 |a Schulthess, Albert W  |e verfasserin  |4 aut 
700 1 |a Reif, Jochen C  |e verfasserin  |4 aut 
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