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Identification and Allele Combination Analysis of Rice Grain Shape-Related Genes by Genome-Wide Association Study

Grain shape is an important agronomic character of rice, which affects the appearance, processing, and the edible quality. Screening and identifying more new genes associated with grain shape is beneficial to further understanding the genetic basis of grain shape and provides more gene resources for...

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Autores principales: Meng, Bingxin, Wang, Tao, Luo, Yi, Guo, Ying, Xu, Deze, Liu, Chunhai, Zou, Juan, Li, Lanzhi, Diao, Ying, Gao, Zhiyong, Hu, Zhongli, Zheng, Xingfei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8835367/
https://www.ncbi.nlm.nih.gov/pubmed/35162989
http://dx.doi.org/10.3390/ijms23031065
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author Meng, Bingxin
Wang, Tao
Luo, Yi
Guo, Ying
Xu, Deze
Liu, Chunhai
Zou, Juan
Li, Lanzhi
Diao, Ying
Gao, Zhiyong
Hu, Zhongli
Zheng, Xingfei
author_facet Meng, Bingxin
Wang, Tao
Luo, Yi
Guo, Ying
Xu, Deze
Liu, Chunhai
Zou, Juan
Li, Lanzhi
Diao, Ying
Gao, Zhiyong
Hu, Zhongli
Zheng, Xingfei
author_sort Meng, Bingxin
collection PubMed
description Grain shape is an important agronomic character of rice, which affects the appearance, processing, and the edible quality. Screening and identifying more new genes associated with grain shape is beneficial to further understanding the genetic basis of grain shape and provides more gene resources for genetic breeding. This study has a natural population containing 623 indica rice cultivars. Genome-wide association studies/GWAS of several traits related to grain shape (grain length/GL, grain width/GW, grain length to width ratio/GLWR, grain circumferences/GC, and grain size/grain area/GS) were conducted by combining phenotypic data from four environments and the second-generation resequencing data, which have identified 39 important Quantitative trait locus/QTLs. We analyzed the 39 QTLs using three methods: gene-based association analysis, haplotype analysis, and functional annotation and identified three cloned genes (GS3, GW5, OsDER1) and seven new candidate genes in the candidate interval. At the same time, to effectively utilize the genes in the grain shape-related gene bank, we have also analyzed the allelic combinations of the three cloned genes. Finally, the extreme allele combination corresponding to each trait was found through statistical analysis. This study’s novel candidate genes and allele combinations will provide a valuable reference for future breeding work.
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spelling pubmed-88353672022-02-12 Identification and Allele Combination Analysis of Rice Grain Shape-Related Genes by Genome-Wide Association Study Meng, Bingxin Wang, Tao Luo, Yi Guo, Ying Xu, Deze Liu, Chunhai Zou, Juan Li, Lanzhi Diao, Ying Gao, Zhiyong Hu, Zhongli Zheng, Xingfei Int J Mol Sci Article Grain shape is an important agronomic character of rice, which affects the appearance, processing, and the edible quality. Screening and identifying more new genes associated with grain shape is beneficial to further understanding the genetic basis of grain shape and provides more gene resources for genetic breeding. This study has a natural population containing 623 indica rice cultivars. Genome-wide association studies/GWAS of several traits related to grain shape (grain length/GL, grain width/GW, grain length to width ratio/GLWR, grain circumferences/GC, and grain size/grain area/GS) were conducted by combining phenotypic data from four environments and the second-generation resequencing data, which have identified 39 important Quantitative trait locus/QTLs. We analyzed the 39 QTLs using three methods: gene-based association analysis, haplotype analysis, and functional annotation and identified three cloned genes (GS3, GW5, OsDER1) and seven new candidate genes in the candidate interval. At the same time, to effectively utilize the genes in the grain shape-related gene bank, we have also analyzed the allelic combinations of the three cloned genes. Finally, the extreme allele combination corresponding to each trait was found through statistical analysis. This study’s novel candidate genes and allele combinations will provide a valuable reference for future breeding work. MDPI 2022-01-19 /pmc/articles/PMC8835367/ /pubmed/35162989 http://dx.doi.org/10.3390/ijms23031065 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Meng, Bingxin
Wang, Tao
Luo, Yi
Guo, Ying
Xu, Deze
Liu, Chunhai
Zou, Juan
Li, Lanzhi
Diao, Ying
Gao, Zhiyong
Hu, Zhongli
Zheng, Xingfei
Identification and Allele Combination Analysis of Rice Grain Shape-Related Genes by Genome-Wide Association Study
title Identification and Allele Combination Analysis of Rice Grain Shape-Related Genes by Genome-Wide Association Study
title_full Identification and Allele Combination Analysis of Rice Grain Shape-Related Genes by Genome-Wide Association Study
title_fullStr Identification and Allele Combination Analysis of Rice Grain Shape-Related Genes by Genome-Wide Association Study
title_full_unstemmed Identification and Allele Combination Analysis of Rice Grain Shape-Related Genes by Genome-Wide Association Study
title_short Identification and Allele Combination Analysis of Rice Grain Shape-Related Genes by Genome-Wide Association Study
title_sort identification and allele combination analysis of rice grain shape-related genes by genome-wide association study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8835367/
https://www.ncbi.nlm.nih.gov/pubmed/35162989
http://dx.doi.org/10.3390/ijms23031065
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