Haplotype-based genome-wide association study unveils stable genomic regions for grain yield in CIMMYT spring bread wheat

Genetic architecture of grain yield (GY) has been extensively investigated in wheat using genome wide association study (GWAS) approach. However, most studies have used small panel sizes in combination with large genotypic data, typical examples of the so-called ‘large p small n’ or ‘short-fat data’ problem. Further, use of bi-allelic SNPs accentuated ‘missing heritability’ issues and therefore reported markers had limited impact in wheat breeding. We performed haplotype-based GWAS using 519 haplotype blocks on seven large cohorts of advanced CIMMYT spring bread wheat lines comprising overall 6,333 genotypes. In addition, epistatic interactions among the genome-wide haplotypes were investigated, an important aspect which has not yet been fully explored in wheat GWAS in order to address the missing heritability. Our results unveiled the intricate genetic architecture of GY controlled by both main and epistatic effects. The importance of these results from practical applications in the CIMMYT breeding program is discussed.

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Bibliographic Details
Main Authors: Sehgal, Deepmala, Mondal, Suchismita, Crespo Herrera, Leonardo Abdiel, Govindan, Velu, Juliana, Philomin, Huerta Espino, Julio, Shrestha, Sandesh, Poland, Jesse, Singh, Ravi, Dreisigacker, Susanne
Other Authors: Shrestha, Rosemary
Format: Experimental data, biblioteca
Language:English
Published: CIMMYT Research Data & Software Repository Network 2020
Subjects:Agricultural Sciences, Agricultural research, Wheat, Triticum aestivum, Grain yield, Genome wide association study, GWAS, Haplotypes, SNPs,
Online Access:https://hdl.handle.net/11529/10548504
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spelling dat-cimmyt-11529105485042023-08-09T01:00:04ZHaplotype-based genome-wide association study unveils stable genomic regions for grain yield in CIMMYT spring bread wheathttps://hdl.handle.net/11529/10548504Sehgal, DeepmalaMondal, SuchismitaCrespo Herrera, Leonardo AbdielGovindan, VeluJuliana, PhilominHuerta Espino, JulioShrestha, SandeshPoland, JesseSingh, RaviDreisigacker, SusanneCIMMYT Research Data & Software Repository NetworkGenetic architecture of grain yield (GY) has been extensively investigated in wheat using genome wide association study (GWAS) approach. However, most studies have used small panel sizes in combination with large genotypic data, typical examples of the so-called ‘large p small n’ or ‘short-fat data’ problem. Further, use of bi-allelic SNPs accentuated ‘missing heritability’ issues and therefore reported markers had limited impact in wheat breeding. We performed haplotype-based GWAS using 519 haplotype blocks on seven large cohorts of advanced CIMMYT spring bread wheat lines comprising overall 6,333 genotypes. In addition, epistatic interactions among the genome-wide haplotypes were investigated, an important aspect which has not yet been fully explored in wheat GWAS in order to address the missing heritability. Our results unveiled the intricate genetic architecture of GY controlled by both main and epistatic effects. The importance of these results from practical applications in the CIMMYT breeding program is discussed.Agricultural SciencesAgricultural researchWheatTriticum aestivumGrain yieldGenome wide association studyGWASHaplotypesSNPsEnglish2020Shrestha, RosemaryCGIAR Research Program on Wheat (WHEAT)United States Agency for International Development (USAID)Global Wheat Program (GWP)Experimental data,Genotypic dataPhenotypic data
institution CIMMYT
collection Dataverse
country México
countrycode MX
component Datos de investigación
access En linea
En linea
databasecode dat-cimmyt
tag biblioteca
region America del Norte
libraryname Centro Internacional de Mejoramiento de Maíz y Trigo
language English
topic Agricultural Sciences
Agricultural research
Wheat
Triticum aestivum
Grain yield
Genome wide association study
GWAS
Haplotypes
SNPs
Agricultural Sciences
Agricultural research
Wheat
Triticum aestivum
Grain yield
Genome wide association study
GWAS
Haplotypes
SNPs
spellingShingle Agricultural Sciences
Agricultural research
Wheat
Triticum aestivum
Grain yield
Genome wide association study
GWAS
Haplotypes
SNPs
Agricultural Sciences
Agricultural research
Wheat
Triticum aestivum
Grain yield
Genome wide association study
GWAS
Haplotypes
SNPs
Sehgal, Deepmala
Mondal, Suchismita
Crespo Herrera, Leonardo Abdiel
Govindan, Velu
Juliana, Philomin
Huerta Espino, Julio
Shrestha, Sandesh
Poland, Jesse
Singh, Ravi
Dreisigacker, Susanne
Haplotype-based genome-wide association study unveils stable genomic regions for grain yield in CIMMYT spring bread wheat
description Genetic architecture of grain yield (GY) has been extensively investigated in wheat using genome wide association study (GWAS) approach. However, most studies have used small panel sizes in combination with large genotypic data, typical examples of the so-called ‘large p small n’ or ‘short-fat data’ problem. Further, use of bi-allelic SNPs accentuated ‘missing heritability’ issues and therefore reported markers had limited impact in wheat breeding. We performed haplotype-based GWAS using 519 haplotype blocks on seven large cohorts of advanced CIMMYT spring bread wheat lines comprising overall 6,333 genotypes. In addition, epistatic interactions among the genome-wide haplotypes were investigated, an important aspect which has not yet been fully explored in wheat GWAS in order to address the missing heritability. Our results unveiled the intricate genetic architecture of GY controlled by both main and epistatic effects. The importance of these results from practical applications in the CIMMYT breeding program is discussed.
author2 Shrestha, Rosemary
author_facet Shrestha, Rosemary
Sehgal, Deepmala
Mondal, Suchismita
Crespo Herrera, Leonardo Abdiel
Govindan, Velu
Juliana, Philomin
Huerta Espino, Julio
Shrestha, Sandesh
Poland, Jesse
Singh, Ravi
Dreisigacker, Susanne
format Experimental data,
topic_facet Agricultural Sciences
Agricultural research
Wheat
Triticum aestivum
Grain yield
Genome wide association study
GWAS
Haplotypes
SNPs
author Sehgal, Deepmala
Mondal, Suchismita
Crespo Herrera, Leonardo Abdiel
Govindan, Velu
Juliana, Philomin
Huerta Espino, Julio
Shrestha, Sandesh
Poland, Jesse
Singh, Ravi
Dreisigacker, Susanne
author_sort Sehgal, Deepmala
title Haplotype-based genome-wide association study unveils stable genomic regions for grain yield in CIMMYT spring bread wheat
title_short Haplotype-based genome-wide association study unveils stable genomic regions for grain yield in CIMMYT spring bread wheat
title_full Haplotype-based genome-wide association study unveils stable genomic regions for grain yield in CIMMYT spring bread wheat
title_fullStr Haplotype-based genome-wide association study unveils stable genomic regions for grain yield in CIMMYT spring bread wheat
title_full_unstemmed Haplotype-based genome-wide association study unveils stable genomic regions for grain yield in CIMMYT spring bread wheat
title_sort haplotype-based genome-wide association study unveils stable genomic regions for grain yield in cimmyt spring bread wheat
publisher CIMMYT Research Data & Software Repository Network
publishDate 2020
url https://hdl.handle.net/11529/10548504
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