Uncovering genomic regions controlling plant architectural traits in hexaploid wheat using GWAS

• DOI: 10.21203/rs.2.23079/v1
• Publication Date: 2020-02-11T16:20:21Z
• Authors: Lingqiang Wang; Ali Muhammad; Weicheng Hu; Jinsheng Yu; Shahid Ullah Khan; Guosheng Xie; Jibin Wang
• Keywords: Genome-wide Association Study; Genetic Association; SNP; SNP genotyping; Genetic architecture; SNP array

Abstract Background: Wheat is a staple food crop worldwide. Plant height key factor in plant architecture as it plays crucial role lodging and thus affects yield quality. Genome-wide studies are mostly applied plants, due to its advanced genotyping technologies, identification of novel loci, improved statistical approaches. Results: In this study, the population was genotyped by using Illumina iSelect 90K single nucleotide polymorphism (SNP) assay finally 22,905 high-quality SNPs were used perform genome-wide association study (GWAS) for architectural traits employing four multi-locus GWAS (ML-GWAS) three single-locus (SL-GWAS) models. As result, 174 97 significant controlling detected ML-GWAS SL-GWAS methods, respectively. Among these SNP makers, 43 commonly detected, including seven across multiple environments thirty-six methods. Interestingly, five most stable (Kukri_c34553_89, RAC875_c8121_1490, wsnp_Ex_rep_c66315_64480362, Ku_c5191_340, tplb0049a09_1302) consistently possibly played modulating flag leaf length. When comparing pLARmEB powerful accountable detection 49 that contributed (36 SNPs). However, FarmCPU model SNPs. Moreover, total 152 candidate genes found likely be involved growth development which may provide insightful information related traits. Conclusion: Altogether, our results reveal The loci play hexaploid wheat, will contribute discovery valuable marker-assisted selection (MAS) wheat molecular breeding.