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Mapping of QTLs associated with resistance to common bunt, tan spot, leaf rust, and stripe rust in a spring wheat population

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Abstract

Spring wheat (Triticum aestivum L.) breeding goals in western Canada include good agronomic characteristics and good end-use quality, and also moderate to elevated resistance to diseases of economic importance. In this study, we aimed to identify quantitative trait loci (QTL) associated with resistance to common bunt (Tilletia tritici and Tilletia laevis), tan spot (Pyrenophora tritici-repentis), leaf rust (Puccinia triticina), and stripe rust (Puccinia striiformis f. sp. tritici). A total of 167 recombinant inbred lines (RILs) derived from a cross between two spring wheat cultivars, ‘Attila’ and ‘CDC Go’, were evaluated for reactions to the four diseases in nurseries from three to eight environments, and genotyped with the Wheat 90K SNP array and three gene-specific markers (Ppd-D1, Vrn-A1, and Rht-B1). The RILs exhibited transgressive segregation for all four diseases, and we observed several lines either superior or inferior to the parents. Broad-sense heritability varied from 0.25 for leaf rust to 0.48 for common bunt. Using a subset of 1203 informative markers (1200 SNPs and 3 gene-specific markers) and average disease scores across all environments, we identified two QTLs (QCbt.dms-1B.2 and QCbt.dms-3A) for common bunt, and three QTLs each for tan spot (QTs.dms-2B, QTs.dms-2D, and QTs.dms-6B), leaf rust (QLr.dms-2D.1, QLr.dms-2D.2, and QLr.dms-3A), and stripe rust (QYr.dms-3A, QYr.dms-4A, and QYr.dms-5B). Each QTL individually explained between 5.9 and 18.7% of the phenotypic variation, and altogether explained from 21.5 to 26.5% of phenotypic and from 52.2 to 86.0% of the genetic variation. The resistance alleles for all QTLs except one for stripe rust (QYr.dms-5B) were from CDC Go. Some of the QTLs are novel, while others mapped close to QTLs and/or genes reported in other studies.

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Acknowledgments

The authors would like to thank Klaus Strenzke, Mark Virginillo, and all other research technicians for evaluating the population across multiple wheat disease nurseries in this study. This involved a small army of individuals over the years from both the University of Alberta’s and Agriculture and Agri-Food Canada’s Lethbridge wheat breeding programs.

Funding

This research was supported by grants to the University of Alberta wheat breeding program from the Alberta Crop Industry Development Fund, Alberta Wheat Commission, Agriculture and Agri-Food Canada, Western Grains Research Foundation Endowment Fund and Core Program check-off funds to D. Spaner. This work was conducted in part within the project “Canadian Triticum Advancement Through Genomics (CTAG).” We would like to acknowledge CTAG funding provided by the Saskatchewan Ministry of Agriculture, Western Grains Research Foundation, Agriculture and Agri-Food Canada, Genome Canada, Genome Prairie, Genome Alberta, and Alberta Innovates. The study was also supported by Chinese Government Scholarship to Jun Zou and Hua Chen.

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Authors and Affiliations

  1. Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Canada

    Jun Zou, Kassa Semagn, Hua Chen, Muhammad Iqbal, Enid Perez-Lara & Dean Spaner

  2. National Institute for Genomics and Advanced Biotechnology, National Agricultural Research Centre, Islamabad, Pakistan

    Muhammad Iqbal

  3. Department of Agronomy, Throckmorton Plant Science Center, Kansas State University, Manhattan, KS, USA

    Mohammad Asif

  4. Heartland Plant Innovations, Kansas Wheat Innovation Center, Manhattan, KS, USA

    Mohammad Asif

  5. Crop Development Centre and Department of Plant Sciences, University of Saskatchewan, Saskatoon, Canada

    Amidou N’Diaye & Curtis Pozniak

  6. Department of Plant Agriculture, University of Guelph, Guelph, Canada

    Alireza Navabi

  7. Alberta Agriculture and Rural Development, Edmonton, Canada

    Rong-Cai Yang

  8. Agriculture and Agri-Food Canada, Lethbridge, Canada

    Robert J. Graf & Harpinder Randhawa

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  1. Jun Zou
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  2. Kassa Semagn
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  9. Curtis Pozniak
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  12. Harpinder Randhawa
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  13. Dean Spaner
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Corresponding author

Correspondence to Dean Spaner.

Electronic supplementary material

Supplemental Table 1

Summary of the 5667 SNPs and three gene specific markers (Ppd-D1, Rht-B1, and Vrn-A1) integrated into the linkage map of ‘Attila’ × ‘CDC Go’ RIL population and a subset of 1203 markers used for QTL mapping. (XLSX 245 kb)

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Zou, J., Semagn, K., Chen, H. et al. Mapping of QTLs associated with resistance to common bunt, tan spot, leaf rust, and stripe rust in a spring wheat population. Mol Breeding 37, 144 (2017). https://doi.org/10.1007/s11032-017-0746-1

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