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Genetic architecture and candidate gene identification for grain size in bread wheat by GWAS

Grain size is a key trait associated with bread wheat yield. It is also the most frequently selected trait during domestication. After the phenotypic characterization of 768 bread wheat accessions in three plots for at least two years, the present study shows that the improved variety showed signifi...

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Autores principales: Yu, Haitao, Hao, Yongchao, Li, Mengyao, Dong, Luhao, Che, Naixiu, Wang, Lijie, Song, Shun, Liu, Yanan, Kong, Lingrang, Shi, Shubing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9748340/
https://www.ncbi.nlm.nih.gov/pubmed/36531392
http://dx.doi.org/10.3389/fpls.2022.1072904
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author Yu, Haitao
Hao, Yongchao
Li, Mengyao
Dong, Luhao
Che, Naixiu
Wang, Lijie
Song, Shun
Liu, Yanan
Kong, Lingrang
Shi, Shubing
author_facet Yu, Haitao
Hao, Yongchao
Li, Mengyao
Dong, Luhao
Che, Naixiu
Wang, Lijie
Song, Shun
Liu, Yanan
Kong, Lingrang
Shi, Shubing
author_sort Yu, Haitao
collection PubMed
description Grain size is a key trait associated with bread wheat yield. It is also the most frequently selected trait during domestication. After the phenotypic characterization of 768 bread wheat accessions in three plots for at least two years, the present study shows that the improved variety showed significantly higher grain size but lower grain protein content than the landrace. Using 55K SNP assay genotyping and large-scale phenotyping population and GWAS data, we identified 5, 6, 6, and 6 QTLs associated with grain length, grain weight, grain area, and thousand grain weight, respectively. Seven of the 23 QTLs showed common association within different locations or years. Most significantly, the key locus associated with grain length, qGL-2D, showed the highest association after years of multi-plot testing. Haplotype and evolution analysis indicated that the superior allele of qGL-2D was mainly hidden in the improved variety rather than in landrace, which may contribute to the significant difference in grain length. A comprehensive analysis of transcriptome and homolog showed that TraesCS2D02G414800 could be the most likely candidate gene for qGL-2D. Overall, this study presents several reliable grain size QTLs and candidate gene for grain length associated with bread wheat yield.
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spelling pubmed-97483402022-12-15 Genetic architecture and candidate gene identification for grain size in bread wheat by GWAS Yu, Haitao Hao, Yongchao Li, Mengyao Dong, Luhao Che, Naixiu Wang, Lijie Song, Shun Liu, Yanan Kong, Lingrang Shi, Shubing Front Plant Sci Plant Science Grain size is a key trait associated with bread wheat yield. It is also the most frequently selected trait during domestication. After the phenotypic characterization of 768 bread wheat accessions in three plots for at least two years, the present study shows that the improved variety showed significantly higher grain size but lower grain protein content than the landrace. Using 55K SNP assay genotyping and large-scale phenotyping population and GWAS data, we identified 5, 6, 6, and 6 QTLs associated with grain length, grain weight, grain area, and thousand grain weight, respectively. Seven of the 23 QTLs showed common association within different locations or years. Most significantly, the key locus associated with grain length, qGL-2D, showed the highest association after years of multi-plot testing. Haplotype and evolution analysis indicated that the superior allele of qGL-2D was mainly hidden in the improved variety rather than in landrace, which may contribute to the significant difference in grain length. A comprehensive analysis of transcriptome and homolog showed that TraesCS2D02G414800 could be the most likely candidate gene for qGL-2D. Overall, this study presents several reliable grain size QTLs and candidate gene for grain length associated with bread wheat yield. Frontiers Media S.A. 2022-11-30 /pmc/articles/PMC9748340/ /pubmed/36531392 http://dx.doi.org/10.3389/fpls.2022.1072904 Text en Copyright © 2022 Yu, Hao, Li, Dong, Che, Wang, Song, Liu, Kong and Shi https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Yu, Haitao
Hao, Yongchao
Li, Mengyao
Dong, Luhao
Che, Naixiu
Wang, Lijie
Song, Shun
Liu, Yanan
Kong, Lingrang
Shi, Shubing
Genetic architecture and candidate gene identification for grain size in bread wheat by GWAS
title Genetic architecture and candidate gene identification for grain size in bread wheat by GWAS
title_full Genetic architecture and candidate gene identification for grain size in bread wheat by GWAS
title_fullStr Genetic architecture and candidate gene identification for grain size in bread wheat by GWAS
title_full_unstemmed Genetic architecture and candidate gene identification for grain size in bread wheat by GWAS
title_short Genetic architecture and candidate gene identification for grain size in bread wheat by GWAS
title_sort genetic architecture and candidate gene identification for grain size in bread wheat by gwas
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9748340/
https://www.ncbi.nlm.nih.gov/pubmed/36531392
http://dx.doi.org/10.3389/fpls.2022.1072904
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