A large-scale genomic association analysis identifies the candidate causal genes conferring stripe rust resistance under multiple field environments

被引:60
作者
Wu, Jianhui [1 ]
Yu, Rui [1 ]
Wang, Haiying [3 ]
Zhou, Cai'e [1 ]
Huang, Shuo [1 ]
Jiao, Hanxuan [1 ]
Yu, Shizhou [1 ]
Nie, Xiaojun [1 ]
Wang, Qilin [1 ]
Liu, Shengjie [1 ]
Weining, Song [1 ]
Singh, Ravi Prakash [4 ]
Bhavani, Sridhar [4 ]
Kang, Zhensheng [2 ]
Han, Dejun [1 ]
Zeng, Qingdong [2 ]
机构
[1] Northwest A&F Univ, Coll Agron, State Key Lab Crop Stress Biol Arid Areas, Yangling, Shaanxi, Peoples R China
[2] Northwest A&F Univ, Coll Plant Protect, State Key Lab Crop Stress Biol Arid Areas, Yangling, Shaanxi, Peoples R China
[3] Northwest A&F Univ, State Key Lab Crop Stress Biol Arid Areas, Yangling, Shaanxi, Peoples R China
[4] Int Maize & Wheat Improvement Ctr CIMMYT, Texcoco, Estado De Mexic, Mexico
基金
中国博士后科学基金; 中国国家自然科学基金; 美国国家科学基金会;
关键词
common wheat (Triticum aestivumL; stripe rust; 660K SNP array; GWAS; candidate region association analysis; serine; threonine protein kinase (STPK); marker-assisted breeding; QUANTITATIVE RESISTANCE; DURABLE RESISTANCE; WIDE ASSOCIATION; WHEAT; PATHOGENS; DISEASE; SELECTION; GENETICS; CAPTURE; CLONING;
D O I
10.1111/pbi.13452
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
The incorporation of resistance genes into wheat commercial varieties is the ideal strategy to combat stripe or yellow rust (YR). In a search for novel resistance genes, we performed a large-scale genomic association analysis with high-density 660K single nucleotide polymorphism (SNP) arrays to determine the genetic components of YR resistance in 411 spring wheat lines. Following quality control, 371 972 SNPs were screened, covering over 50% of the high-confidence annotated gene space. Nineteen stable genomic regions harbouring 292 significant SNPs were associated with adult-plant YR resistance across nine environments. Of these, 14 SNPs were localized in the proximity of known loci widely used in breeding. Obvious candidate SNP variants were identified in certain confidence intervals, such as the cloned geneYr18and the major locus on chromosome 2BL, despite a large extent of linkage disequilibrium. The number of causal SNP variants was refined using an independent validation panel and consideration of the estimated functional importance of each nucleotide polymorphism. Interestingly, four natural polymorphisms causing amino acid changes in the geneTraesCS2B01G513100that encodes a serine/threonine protein kinase (STPK) were significantly involved in YR responses. Gene expression and mutation analysis confirmed that STPK played an important role in YR resistance. PCR markers were developed to identify the favourableTraesCS2B01G513100haplotype for marker-assisted breeding. These results demonstrate that high-resolution SNP-based GWAS enables the rapid identification of putative resistance genes and can be used to improve the efficiency of marker-assisted selection in wheat disease resistance breeding.
引用
收藏
页码:177 / 191
页数:15
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