A large-scale genomic association analysis identifies the candidate causal genes conferring stripe rust resistance under multiple field environments.
A large-scale genomic association analysis identifies the candidate causal genes conferring stripe rust resistance under multiple field environments.
复制标题
大规模基因组关联分析确定了多种田间环境下赋予条锈病抗性的候选致病基因
DOI:
10.1111/pbi.13452
复制
发表时间:
2021-01
影响因子:
13.8
通讯作者:
Zeng Q
中科院分区:
文献类型:
--
作者:
Wu J;Yu R;Wang H;Zhou C;Huang S;Jiao H;Yu S;Nie X;Wang Q;Liu S;Weining S;Singh RP;Bhavani S;Kang Z;Han D;Zeng Q
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 gene Yr18 and 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 gene TraesCS2B01G513100 that 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 favourable TraesCS2B01G513100 haplotype 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.
登录
查看更多内容
影响因子:
5.3
作者:
Li MX;Yeung JM;Cherny SS;Sham PC
通讯作者:
Sham PC
影响因子:
4.6
作者:
Cui F;Zhang N;Fan XL;Zhang W;Zhao CH;Yang LJ;Pan RQ;Chen M;Han J;Zhao XQ;Ji J;Tong YP;Zhang HX;Jia JZ;Zhao GY;Li JM
通讯作者:
Li JM
DOI:
10.1073/pnas.1016981108
发表时间:
2011-05-10
影响因子:
11.1
作者:
Cao, Aizhong;Xing, Liping;Chen, Peidu
通讯作者:
Chen, Peidu
影响因子:
56.9
作者:
Krattinger, Simon G.;Lagudah, Evans S.;Keller, Beat
通讯作者:
Keller, Beat
影响因子:
5.4
作者:
Krattinger, Simon G.;Jordan, David R.;Lagudah, Evans S.
通讯作者:
Lagudah, Evans S.