Genome-Wide Association Study and Post-genome-Wide Association Study Analysis for Spike Fertility and Yield Related Traits in Bread Wheat

• DOI: 10.3389/fpls.2021.820761
• Publication Date: 2022-02-11T04:54:05Z
• Authors: S. Sheoran; S. Jaiswal; N. Raghav; R. Sharma; Sabhyata; A. Gaur; J. Jaisri; Gitanjali Tandon; S. Singh; P. Sharma; R. Singh; M. A. Iquebal; U. B. Angadi; A. Gupta; G. Singh; G. P. Singh; A. Rai; D. Kumar; R. Tiwari
• Keywords: Genome-wide Association Study; Genetic Association; Candidate gene; Trait

Spike fertility and associated traits are key factors in deciding the grain yield potential of wheat. Genome-wide association study (GWAS) interwoven with advanced post-GWAS analysis such as a genotype-phenotype network (geno-pheno network) for spike fertility, yield, allow to identify novel genomic regions represents attractive targets future marker-assisted wheat improvement programs. In this study, GWAS was performed on 200 diverse genotypes using Breeders' 35K Axiom array that led identification 255 significant marker-trait associations (MTAs) (-log10P ≥ 3) 15 metric phenotyped over three consecutive years. MTAs detected chromosomes 3A, 3D, 5B, 6A were most promising traits. Furthermore, geno-pheno prioritised 11 can be utilised minimal marker system improving total, 119 linked 81 candidate genes encoding different types functional proteins involved various pathways affect studied either way. Twenty-two loci identified present GWAS, twelve which overlapped by genes. These results further validated gene expression analysis, Knetminer, protein modelling. from hold promise related continued genetic gain rapidly evolving artificial intelligence (AI) tools apply breeding program.