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A high-resolution genotype–phenotype map identifies the TaSPL17 controlling grain number and size in wheat

BACKGROUND: Large-scale genotype–phenotype association studies of crop germplasm are important for identifying alleles associated with favorable traits. The limited number of single-nucleotide polymorphisms (SNPs) in most wheat genome-wide association studies (GWASs) restricts their power to detect...

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Autores principales: Liu, Yangyang, Chen, Jun, Yin, Changbin, Wang, Ziying, Wu, He, Shen, Kuocheng, Zhang, Zhiliang, Kang, Lipeng, Xu, Song, Bi, Aoyue, Zhao, Xuebo, Xu, Daxing, He, Zhonghu, Zhang, Xueyong, Hao, Chenyang, Wu, Jianhui, Gong, Yan, Yu, Xuchang, Sun, Zhiwen, Ye, Botao, Liu, Danni, Zhang, Lili, Shen, Liping, Hao, Yuanfeng, Ma, Youzhi, Lu, Fei, Guo, Zifeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10463835/
https://www.ncbi.nlm.nih.gov/pubmed/37641093
http://dx.doi.org/10.1186/s13059-023-03044-2
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author Liu, Yangyang
Chen, Jun
Yin, Changbin
Wang, Ziying
Wu, He
Shen, Kuocheng
Zhang, Zhiliang
Kang, Lipeng
Xu, Song
Bi, Aoyue
Zhao, Xuebo
Xu, Daxing
He, Zhonghu
Zhang, Xueyong
Hao, Chenyang
Wu, Jianhui
Gong, Yan
Yu, Xuchang
Sun, Zhiwen
Ye, Botao
Liu, Danni
Zhang, Lili
Shen, Liping
Hao, Yuanfeng
Ma, Youzhi
Lu, Fei
Guo, Zifeng
author_facet Liu, Yangyang
Chen, Jun
Yin, Changbin
Wang, Ziying
Wu, He
Shen, Kuocheng
Zhang, Zhiliang
Kang, Lipeng
Xu, Song
Bi, Aoyue
Zhao, Xuebo
Xu, Daxing
He, Zhonghu
Zhang, Xueyong
Hao, Chenyang
Wu, Jianhui
Gong, Yan
Yu, Xuchang
Sun, Zhiwen
Ye, Botao
Liu, Danni
Zhang, Lili
Shen, Liping
Hao, Yuanfeng
Ma, Youzhi
Lu, Fei
Guo, Zifeng
author_sort Liu, Yangyang
collection PubMed
description BACKGROUND: Large-scale genotype–phenotype association studies of crop germplasm are important for identifying alleles associated with favorable traits. The limited number of single-nucleotide polymorphisms (SNPs) in most wheat genome-wide association studies (GWASs) restricts their power to detect marker-trait associations. Additionally, only a few genes regulating grain number per spikelet have been reported due to sensitivity of this trait to variable environments. RESULTS: We perform a large-scale GWAS using approximately 40 million filtered SNPs for 27 spike morphology traits. We detect 132,086 significant marker-trait associations and the associated SNP markers are located within 590 associated peaks. We detect additional and stronger peaks by dividing spike morphology into sub-traits relative to GWAS results of spike morphology traits. We propose that the genetic dissection of spike morphology is a powerful strategy to detect signals for grain yield traits in wheat. The GWAS results reveal that TaSPL17 positively controls grain size and number by regulating spikelet and floret meristem development, which in turn leads to enhanced grain yield per plant. The haplotypes at TaSPL17 indicate geographical differentiation, domestication effects, and breeding selection. CONCLUSION: Our study provides valuable resources for genetic improvement of spike morphology and a fast-forward genetic solution for candidate gene detection and cloning in wheat. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-023-03044-2.
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spelling pubmed-104638352023-08-30 A high-resolution genotype–phenotype map identifies the TaSPL17 controlling grain number and size in wheat Liu, Yangyang Chen, Jun Yin, Changbin Wang, Ziying Wu, He Shen, Kuocheng Zhang, Zhiliang Kang, Lipeng Xu, Song Bi, Aoyue Zhao, Xuebo Xu, Daxing He, Zhonghu Zhang, Xueyong Hao, Chenyang Wu, Jianhui Gong, Yan Yu, Xuchang Sun, Zhiwen Ye, Botao Liu, Danni Zhang, Lili Shen, Liping Hao, Yuanfeng Ma, Youzhi Lu, Fei Guo, Zifeng Genome Biol Research BACKGROUND: Large-scale genotype–phenotype association studies of crop germplasm are important for identifying alleles associated with favorable traits. The limited number of single-nucleotide polymorphisms (SNPs) in most wheat genome-wide association studies (GWASs) restricts their power to detect marker-trait associations. Additionally, only a few genes regulating grain number per spikelet have been reported due to sensitivity of this trait to variable environments. RESULTS: We perform a large-scale GWAS using approximately 40 million filtered SNPs for 27 spike morphology traits. We detect 132,086 significant marker-trait associations and the associated SNP markers are located within 590 associated peaks. We detect additional and stronger peaks by dividing spike morphology into sub-traits relative to GWAS results of spike morphology traits. We propose that the genetic dissection of spike morphology is a powerful strategy to detect signals for grain yield traits in wheat. The GWAS results reveal that TaSPL17 positively controls grain size and number by regulating spikelet and floret meristem development, which in turn leads to enhanced grain yield per plant. The haplotypes at TaSPL17 indicate geographical differentiation, domestication effects, and breeding selection. CONCLUSION: Our study provides valuable resources for genetic improvement of spike morphology and a fast-forward genetic solution for candidate gene detection and cloning in wheat. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-023-03044-2. BioMed Central 2023-08-28 /pmc/articles/PMC10463835/ /pubmed/37641093 http://dx.doi.org/10.1186/s13059-023-03044-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Liu, Yangyang
Chen, Jun
Yin, Changbin
Wang, Ziying
Wu, He
Shen, Kuocheng
Zhang, Zhiliang
Kang, Lipeng
Xu, Song
Bi, Aoyue
Zhao, Xuebo
Xu, Daxing
He, Zhonghu
Zhang, Xueyong
Hao, Chenyang
Wu, Jianhui
Gong, Yan
Yu, Xuchang
Sun, Zhiwen
Ye, Botao
Liu, Danni
Zhang, Lili
Shen, Liping
Hao, Yuanfeng
Ma, Youzhi
Lu, Fei
Guo, Zifeng
A high-resolution genotype–phenotype map identifies the TaSPL17 controlling grain number and size in wheat
title A high-resolution genotype–phenotype map identifies the TaSPL17 controlling grain number and size in wheat
title_full A high-resolution genotype–phenotype map identifies the TaSPL17 controlling grain number and size in wheat
title_fullStr A high-resolution genotype–phenotype map identifies the TaSPL17 controlling grain number and size in wheat
title_full_unstemmed A high-resolution genotype–phenotype map identifies the TaSPL17 controlling grain number and size in wheat
title_short A high-resolution genotype–phenotype map identifies the TaSPL17 controlling grain number and size in wheat
title_sort high-resolution genotype–phenotype map identifies the taspl17 controlling grain number and size in wheat
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10463835/
https://www.ncbi.nlm.nih.gov/pubmed/37641093
http://dx.doi.org/10.1186/s13059-023-03044-2
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