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

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Title Genome-Wide Association Study and Post-genome-Wide Association Study Analysis for Spike Fertility and Yield Related Traits in Bread Wheat
Not Available
 
Creator 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
 
Subject GWAS
35K
MTAs
spike fertility
yield
wheat
 
Description Not Available
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, grain yield, and associated traits allow to identify of novel genomic regions and
represents attractive targets for future marker-assisted wheat improvement programs.
In this study, GWAS was performed on 200 diverse wheat genotypes using Breeders’
35K Axiom array that led to the identification of 255 significant marker-trait associations
(MTAs) (–log10P 3) for 15 metric traits phenotyped over three consecutive years. MTAs
detected on chromosomes 3A, 3D, 5B, and 6A were most promising for spike fertility,
grain yield, and associated traits. Furthermore, the geno-pheno network prioritised
11 significant MTAs that can be utilised as a minimal marker system for improving
spike fertility and yield traits. In total, 119 MTAs were linked to 81 candidate genes
encoding different types of functional proteins involved in various key pathways that
affect the studied traits either way. Twenty-two novel loci were identified in present
GWAS, twelve of which overlapped by candidate genes. These results were further
validated by the gene expression analysis, Knetminer, and protein modelling. MTAs
identified from this study hold promise for improving yield and related traits in wheat
for continued genetic gain and in rapidly evolving artificial intelligence (AI) tools to apply
in the breeding program.
Not Available
 
Date 2022-03-14T10:41:40Z
2022-03-14T10:41:40Z
2022-02-11
 
Type Research Paper
 
Identifier Sheoran S, Jaiswal S, Raghav N, Sharma R, Sabhyata, Gaur A, Jaisri J, Tandon G, Singh S, Sharma P, Singh R, Iquebal MA, Angadi UB, Gupta A, Singh G, Singh GP, Rai A, Kumar D and Tiwari R (2022) Genome-Wide Association Study and Post-genome-Wide Association Study Analysis for Spike Fertility and Yield Related Traits in Bread Wheat. Front. Plant Sci. 12:820761. doi: 10.3389/fpls.2021.820761
Not Available
http://krishi.icar.gov.in/jspui/handle/123456789/70225
 
Language English
 
Relation Not Available;
 
Publisher Not Available