Abstract
Stripe rust is a devastating disease of wheat worldwide. Chinese wheat cultivar Lanhangxuan 121 (LHX121), selected from an advanced line L92-47 population that had been subjected to space mutation breeding displayed a consistently higher level of resistance to stipe rust than its parent in multiple field environments. The aim of this research was to establish the number and types of resistance genes in parental lines L92-47 and LHX121 using separate segregating populations. The first population developed from a cross between LHX121 and susceptible cultivar Xinong 822 comprised 278 F2:3 lines. The second validation population comprised 301 F2:3 lines from a cross between L92-47 and susceptible cultivar Xinong 979. Lines of two population were evaluated for stripe rust response at three sites during the 2018–2020 cropping season. Affymetrix 660 K SNP arrays were used to genotype the lines and parents. Inclusive composite interval mapping detected QTL QYrLHX.nwafu-2BS, QYrLHX.nwafu-3BS, and QYrLHX.nwafu-5BS for resistance in all three environments. Based on previous studies and pedigree information, QYrLHX.nwafu-2BS and QYrLHX.nwafu-3BS were likely to be Yr27 and Yr30 that are present in the L92-47 parent. QYrLHX.nwafu-5BS (YrL121) detected only in LHX121 was mapped to a 7.60 cM interval and explained 10.67–22.57% of the phenotypic variation. Compared to stripe rust resistance genes previously mapped to chromosome 5B, YrL121 might be a new adult plant resistance QTL. Furthermore, there were a number of variations signals using 35 K SNP array and differentially expressed genes using RNA-seq between L92-47 and LHX121 in the YrL121 region, indicating that they probably impair the presence and/or function of YrL121.
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All data, models, or codes generated or used during the study are available by request from the corresponding authors.
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Acknowledgements
The authors are grateful to Prof. R.A. McIntosh, Plant Breeding Institute, University of Sydney, for language editing and proofreading of this manuscript, Prof. Zhiyong Liu and Dr. Ping Lu, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, for providing DNA sequence of Sb3 on this work and Drs. Xueling Huang and Fengping Yuan, State Key Laboratory for Crop Stress Resistance and High-Efficiency Production, Northwest A&F University, Mrs Haiying Wang of College of Horticulture, Northwest A&F University for providing a genotyping platform of AQP, assistance with DNA extraction and RNA extraction experiments, respectively. This study was financially supported by National Key R&D Program of China (2021YFD1200600 and 2021YFD1401000), National Natural Science Foundation of China (Grant no. 32272088), the Key R&D Program of Shaanxi Province in China (2021ZDLNY0-01), the Key R&D Program of Qinghai Province in China (2022-NK-125), the Integrated Extension Project of Agricultural Science and Technology Innovation in Shaanxi Province (NYKJ 2021-YL (XN)15), Key R&D Program of Yangling Seed Industry Innovation Center (Ylzy-xm-01), the China Postdoctoral Science Foundation (2022T150538).
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QM Wu, JH Wu and CL Li designed and conducted the experiments, analyzed the data, and wrote the manuscript. JY Du, WT Zhang and QL Wang participated in creation of the genetic populations and assisted in analysis of the SNP array data. L Liu, DD Zhang, CC Li, RQ Nie, JL Duan, JF Wan, JW Zhao, JH Cao, D Liu, and SJ Liu participated in greenhouse and field experiments and contributed to genotyping and data analysis. WJ Zheng, Q Yao, ZS Kang, and DJ Han participated in revision of the manuscript. CL Li, CF Wang and JH Wu conceived and directed the project and revised the manuscript.
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Key message
Space mutagenesis might create novel genetic variation for stripe rust response and could be useful for improving disease resistance in wheat.
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11032_2024_1461_MOESM1_ESM.pdf
Supplementary file1 Table S1 Phenotype data from Xinong 822/Lanhangxuan 121 F2:3 lines used in QTL mapping. (PDF 260 kb)
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Supplementary file4 Table S4 Allele-specific quantitative PCR (AQP) primers used to genotype F2:3 lines for construction of genetic map of 2BS, 3BS and 5BS. (PDF 132 kb)
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Supplementary file5 Table S5 The genotype data of the tested wheat accessions using 35 K SNP array in this study. (TXT 12320 kb)
Supplementary file7 Table S7 The list of gene ontology (GO) analysis of DEGs in LHX121. (PDF 355 kb)
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Supplementary file8 Table S8 The list of gene expressions in the target region of YrL121 in L92-47 and LHX121. (PDF 24868 kb)
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Supplementary file9 Table S9 The list of DNA sequence of five DEGs identified in the target region of YrL121. (TXT 40 kb)
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Supplementary file10 Figure S1. Frequency distributions of mean infection types (IT), disease severities (DS) and their BLUEs for cross XN979 × L92-47 evaluated (a, b) at Yangling and Tianshui. Violin plots of mean IT and DS for cross XN979 × L92-47 (c, d) evaluated at Yangling and Tianshui. Correlation coefficients (r) for mean IT and DS and BLUEs of cross XN979 × L92-47 (e, f) across environments. All r values are significant at p < 0.001. (PPTX 566 kb)
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Wu, Q., Liu, L., Zhang, D. et al. Genetic dissection and identification of stripe rust resistance genes in the wheat cultivar Lanhangxuan 121, a cultivar selected from a space mutation population. Mol Breeding 44, 23 (2024). https://doi.org/10.1007/s11032-024-01461-0
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DOI: https://doi.org/10.1007/s11032-024-01461-0