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Research Article
Guijun Yan
The University of Western Australia
Corresponding Author
ORCiD: https://orcid.org/0000-0001-9628-1211
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Breeding high-yield wheat varieties performing well in target environment is economically important. This study conducted a mini review of genome-wide association study (GWAS) outcomes on wheat yield-related traits reported in recent years, and performed GWAS in six individual environments to identify major alleles and their candidate genes responsible for wheat yield-related traits in Australia and North China where rainfed farming system is adopted. A panel of 228 spring wheat varieties were used. A double digest restriction-site associated DNA (ddRAD) genotyping-by-sequencing (GBS) protocol was performed to generate single nucleotide polymorphism (SNP) marker data. A total of 223 significant marker-trait association (MTAs) for yield traits, and 46 candidate genes for the major or consistent MTAs were identified. A phenomenon seldom reported in previous studies was that MTA clustered chromosome segments and gene clusters responsible for the trait were found across the genome, which suggested that marker-assisted selection (MAS) or transgenic method targeting a single gene might not be as effective as MAS targeting a much larger genomic region (GR) where all the genes or gene clusters underlying the GR play important roles.
Keywords
chromosome segments, gene clusters, drought, heat
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Figure 2
Figure 3
This is a list of supplementary files associated with this preprint. Click to download.
- Supplementalinformation.pdf
Table S1. Summary of reported genomic regions responsible for yield-related traits including spike number (SN), grain number (GN), thousand grain weight (TGW), and grain yield (GY) identified through GWAS in common wheat Table S2. Wheat varieties used in the present study Table S3. Phenotypic data of yield-related traits in Australian and Chinese trials in 2019 and 2020 Table S4. Marker-trait associations (MTAs) of yield-related traits across multiple environments Figure S1. Correlation between the yield-related traits investigated in the Australian and Chinese trials. Figure S2. Neighbor-joining trees of the varieties used in the Australian (AU) trials and the Chinese (CH) trial. Figure S3. Manhattan and QQ plots of GWAS on yield-related traits (other than yield) in spring wheat. Figure S4. MTAs for days to maturity identified in a previous study by Julianna et al.
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A new preprint design is coming!
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This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Research Article
Guijun Yan
The University of Western Australia
Corresponding Author
ORCiD: https://orcid.org/0000-0001-9628-1211
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
View the published article at Genomics.
Version 1
Posted 26 May, 2021
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Molecular Genetics
License:
This work is licensed under a CC BY 4.0 License. Read Full License
View the published article at Genomics.
Breeding high-yield wheat varieties performing well in target environment is economically important. This study conducted a mini review of genome-wide association study (GWAS) outcomes on wheat yield-related traits reported in recent years, and performed GWAS in six individual environments to identify major alleles and their candidate genes responsible for wheat yield-related traits in Australia and North China where rainfed farming system is adopted. A panel of 228 spring wheat varieties were used. A double digest restriction-site associated DNA (ddRAD) genotyping-by-sequencing (GBS) protocol was performed to generate single nucleotide polymorphism (SNP) marker data. A total of 223 significant marker-trait association (MTAs) for yield traits, and 46 candidate genes for the major or consistent MTAs were identified. A phenomenon seldom reported in previous studies was that MTA clustered chromosome segments and gene clusters responsible for the trait were found across the genome, which suggested that marker-assisted selection (MAS) or transgenic method targeting a single gene might not be as effective as MAS targeting a much larger genomic region (GR) where all the genes or gene clusters underlying the GR play important roles.
Figure 1
Figure 2
Figure 3
This is a list of supplementary files associated with this preprint. Click to download.
- Supplementalinformation.pdf
Table S1. Summary of reported genomic regions responsible for yield-related traits including spike number (SN), grain number (GN), thousand grain weight (TGW), and grain yield (GY) identified through GWAS in common wheat Table S2. Wheat varieties used in the present study Table S3. Phenotypic data of yield-related traits in Australian and Chinese trials in 2019 and 2020 Table S4. Marker-trait associations (MTAs) of yield-related traits across multiple environments Figure S1. Correlation between the yield-related traits investigated in the Australian and Chinese trials. Figure S2. Neighbor-joining trees of the varieties used in the Australian (AU) trials and the Chinese (CH) trial. Figure S3. Manhattan and QQ plots of GWAS on yield-related traits (other than yield) in spring wheat. Figure S4. MTAs for days to maturity identified in a previous study by Julianna et al.
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