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Genome-wide association study reveals the genetic basis of yield- and quality-related traits in wheat

BACKGROUND: Identifying the loci and dissecting the genetic architecture underlying wheat yield- and quality-related traits are essential for wheat breeding. A genome-wide association study was conducted using a high-density 90 K SNP array to analyze the yield- and quality-related traits of 543 brea...

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Autores principales: Gao, Le, Meng, Chengsheng, Yi, Tengfei, Xu, Ke, Cao, Huiwen, Zhang, Shuhua, Yang, Xueju, Zhao, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7980635/
https://www.ncbi.nlm.nih.gov/pubmed/33740889
http://dx.doi.org/10.1186/s12870-021-02925-7
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author Gao, Le
Meng, Chengsheng
Yi, Tengfei
Xu, Ke
Cao, Huiwen
Zhang, Shuhua
Yang, Xueju
Zhao, Yong
author_facet Gao, Le
Meng, Chengsheng
Yi, Tengfei
Xu, Ke
Cao, Huiwen
Zhang, Shuhua
Yang, Xueju
Zhao, Yong
author_sort Gao, Le
collection PubMed
description BACKGROUND: Identifying the loci and dissecting the genetic architecture underlying wheat yield- and quality-related traits are essential for wheat breeding. A genome-wide association study was conducted using a high-density 90 K SNP array to analyze the yield- and quality-related traits of 543 bread wheat varieties. RESULTS: A total of 11,140 polymorphic SNPs were distributed on 21 chromosomes, including 270 significant SNPs associated with 25 yield- and quality-related traits. Additionally, 638 putative candidate genes were detected near the significant SNPs based on BLUP data, including three (TraesCS7A01G482000, TraesCS4B01G343700, and TraesCS6B01G295400) related to spikelet number per spike, diameter of the first internode, and grain volume. The three candidate genes were further analyzed using stage- and tissue- specific gene expression data derived from an RNA-seq analysis. These genes are promising candidates for enhancing yield- and quality-related traits in wheat. CONCLUSIONS: The results of this study provide a new insight to understand the genetic basis of wheat yield and quality. Furthermore, the markers detected in this study may be applicable for marker-assisted selection in wheat breeding programs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-021-02925-7.
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spelling pubmed-79806352021-03-22 Genome-wide association study reveals the genetic basis of yield- and quality-related traits in wheat Gao, Le Meng, Chengsheng Yi, Tengfei Xu, Ke Cao, Huiwen Zhang, Shuhua Yang, Xueju Zhao, Yong BMC Plant Biol Research Article BACKGROUND: Identifying the loci and dissecting the genetic architecture underlying wheat yield- and quality-related traits are essential for wheat breeding. A genome-wide association study was conducted using a high-density 90 K SNP array to analyze the yield- and quality-related traits of 543 bread wheat varieties. RESULTS: A total of 11,140 polymorphic SNPs were distributed on 21 chromosomes, including 270 significant SNPs associated with 25 yield- and quality-related traits. Additionally, 638 putative candidate genes were detected near the significant SNPs based on BLUP data, including three (TraesCS7A01G482000, TraesCS4B01G343700, and TraesCS6B01G295400) related to spikelet number per spike, diameter of the first internode, and grain volume. The three candidate genes were further analyzed using stage- and tissue- specific gene expression data derived from an RNA-seq analysis. These genes are promising candidates for enhancing yield- and quality-related traits in wheat. CONCLUSIONS: The results of this study provide a new insight to understand the genetic basis of wheat yield and quality. Furthermore, the markers detected in this study may be applicable for marker-assisted selection in wheat breeding programs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-021-02925-7. BioMed Central 2021-03-19 /pmc/articles/PMC7980635/ /pubmed/33740889 http://dx.doi.org/10.1186/s12870-021-02925-7 Text en © The Author(s) 2021 Open AccessThis 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/. The Creative Commons Public Domain Dedication waiver (http://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 Article
Gao, Le
Meng, Chengsheng
Yi, Tengfei
Xu, Ke
Cao, Huiwen
Zhang, Shuhua
Yang, Xueju
Zhao, Yong
Genome-wide association study reveals the genetic basis of yield- and quality-related traits in wheat
title Genome-wide association study reveals the genetic basis of yield- and quality-related traits in wheat
title_full Genome-wide association study reveals the genetic basis of yield- and quality-related traits in wheat
title_fullStr Genome-wide association study reveals the genetic basis of yield- and quality-related traits in wheat
title_full_unstemmed Genome-wide association study reveals the genetic basis of yield- and quality-related traits in wheat
title_short Genome-wide association study reveals the genetic basis of yield- and quality-related traits in wheat
title_sort genome-wide association study reveals the genetic basis of yield- and quality-related traits in wheat
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7980635/
https://www.ncbi.nlm.nih.gov/pubmed/33740889
http://dx.doi.org/10.1186/s12870-021-02925-7
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