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

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.

Genome-Scale Analysis of Homologous Genes among Subgenomes of Bread Wheat (Triticum aestivum L.).

Determining the distribution and correspondence of genome-scale homologous genes in wheat are effective ways to uncover chromosome rearrangement that has occurred during crop evolution and domestication, which can contribute to improvements in crop breeding. High-resolution and comprehensive analysis of the wheat genome by the International Wheat Genome Sequencing Consortium (IWGSC) revealed a total of 88,733 high-confidence homologous genes of four major types (1:1:1, 1:1:0, 0:1:1 and 1:0:1) among the A, B and D subgenomes of wheat. This data was used to compare homologous gene densities among chromosomes, clarify their distribution and correspondence relationship, and compare their functional enrichment. The average density of 1:1:1 homologous genes was about 10 times more than the density of the other three types of homologous genes, although the homologous gene densities of the various chromosomes were similar within each homologous type. Three regions of exceptional density were detected in 1:1:1 homologous genes, the isolate peak on the tail of chromosome 4A, and the desert regions at the start of chromosome 7A and 7D. The correspondence between homologous genes of the wheat subgenomes demonstrated translocation between the tail segments of chromosome 4A and 5A, and the inversion of the segment of original 5A and 7B into the tail of 4A. The homologous genes on the inserting segments of 5A and 7B to 4A were highly enriched in nitrogen, primary metabolite and small molecular metabolism processes, compared with genes on other regions of the original 4A chromosome. This study provides a refined genome-scale reference of homologous genes for wheat molecular research and breeding, which will help to broaden the application of the wheat genome and can be used as a template for research on other polyploid plants.