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Evaluating the contribution of Yr genes to stripe rust resistance breeding through marker-assisted detection in wheat

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Abstract

Numerous stripe rust resistance genes have been identified from wheat, and new virulent races of Puccinia striiformis f. sp. tritici have also emerged in recent years. Deployment of diverse combinations of resistance genes is an efficient way to combat virulent evolution of strip rust pathogen. In this study, publically available molecular markers were used to identify the distribution of 36 Yr genes in 672 wheat accessions. The effectiveness of Yr genes individually and in combinations was also evaluated in field conditions. The result showed effective resistance of some recently applied genes, such as Yr15 and Yr65. It also showed the lost efficacy of some once widely used genes, such as Yr9 and Yr10. Moreover, significant additive effects were observed in some gene combinations, such as Yr9 + Yr18 and Yr30 + Yr46. Proper deploying of Yr genes and utilizing the positive interactions will be helpful for durable resistance breeding in wheat.

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Acknowledgements

This project was partially funded by the Special Fund for Strategic Pilot Technology of the Chinese Academy of Sciences (Class A, No. XDA08030106) and the National Natural Science Foundation of China (General Program, No. 31371608).

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Correspondence to Yu Wu or Lei Zhang.

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Figure S1

Electrophoretogram of the primers for different resistance genes. The corresponding NILs (Table S1) of Yr4, Yr5, Yr6, Yr7, Yr8, Yr9, Yr10, Yr15, Yr17, Yr18, Yr26, Yr29 and YrSP, and the related wheat donors that were reported to carry Yr16, Yr28, Yr30, Yr36, Yr39, Yr41, Yr48, Yr52, Yr53, Yr59, Yr62, Yr64, Yr65, Yr67 and YrZH84 were used as the positive control and are shown at right near the marker. Although there is no control accession for Yr33, Yr46, Yr49, Yr51, Yr57, Yr60, Yr61 and TaHLRG, the postulated bands were easy to be distinguished according to previously reported base pairs of the PCR product. The names of the positively identified wheat accessions of each gene are highlighted in bold (PDF 521 kb)

Figure S2

The overview of stripe rust resistance in all wheat accessions. The percentages of each Pst infection phenotype (a) and averages ITs (b) in total wheat accessions and the four taxon groups (“Chuanyu” breeding lines, Chinese landraces, Chinese modern cultivars, and introduced foreign germplasms) were shown upon the column. HS highly susceptible phenotype; MS moderately susceptible phenotype; MR moderately resistant phenotype; HR highly resistant phenotype. Each bar represents the mean value of stripe rust ITs (0, 1, 2, 3, 4) and SD (n ≥ 140) in b (PDF 94 kb)

Figure S3

The contributions of Yr genes to Pst resistance in different taxon groups. The other genes having insufficient sample size were not analyzed. Each bar represents the mean value of stripe rust ITs (0, 1, 2, 3, 4) and SD (n ≥ 10). One way ANOVA was used to reveal the significant level between the presence and absence groups of each Yr gene. * indicates the significance of p < 0.05. ** indicates the significance of p < 0.01 (PDF 278 kb)

Table S1

All wheat accessions used in this paper. The total 672 wheat accessions were subdivided into 6 groups. Group 0: 17 NILs of corresponded Yr gene; Group 1: 168 “Chuanyu” cultivars and breeding lines; Group 2: 170 Chinese landraces; Group 3: 140 Chinese modern cultivars; Group 4: 148 Introduced foreign germplasms; Group 5: 29 synthetic wheats (PDF 62 kb)

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Zheng, S., Li, Y., Lu, L. et al. Evaluating the contribution of Yr genes to stripe rust resistance breeding through marker-assisted detection in wheat. Euphytica 213, 50 (2017). https://doi.org/10.1007/s10681-016-1828-6

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