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InDels Identification and Association Analysis with Spike and Awn Length in Chinese Wheat Mini-Core Collection.

Zhenyu WangZhongyin DengXingchen KongFang WangJiantao GuanDada CuiGuoliang SunRuyi LiaoMingxue FuYuqing CheChenyang HaoShuaifeng GengXueyong ZhangPeng ZhouLong MaoShaoshuai LiuAili Li
Published in: International journal of molecular sciences (2022)
Diversity surveys of germplasm are important for gaining insight into the genomic basis for crop improvement; especially InDels, which are poorly understood in hexaploid common wheat. Here, we describe a map of 89,923 InDels from exome sequencing of 262 accessions of a Chinese wheat mini-core collection. Population structure analysis, principal component analysis and selective sweep analysis between landraces and cultivars were performed. Further genome-wide association study (GWAS) identified five QTL (Quantitative Trait Loci) that were associated with spike length, two of them, on chromosomes 2B and 6A, were detected in 10 phenotypic data sets. Assisted with RNA-seq data, we identified 14 and 21 genes, respectively that expressed in spike and rachis within the two QTL regions that can be further investigated for candidate genes discovery. Moreover, InDels were found to be associated with awn length on chromosomes 5A, 6B and 4A, which overlapped with previously reported genetic loci B1 ( Tipped 1 ), B2 ( Tipped 2 ) and Hd ( Hooded ). One of the genes TaAGL6 that was previously shown to affect floral organ development was found at the B2 locus to affect awn length development. Our study shows that trait-associated InDels may contribute to wheat improvement and may be valuable molecular markers for future wheat breeding.
Keyphrases
  • genome wide
  • genome wide association study
  • rna seq
  • single cell
  • dna methylation
  • high resolution
  • small molecule
  • big data
  • gene expression
  • mass spectrometry
  • machine learning
  • deep learning