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Mining the candidate genes of rice panicle traits via a genome-wide association study
Panicle traits are important for improving the panicle architecture and grain yield of rice. Therefore, we performed a genome-wide association study (GWAS) to analyze and determine the genetic determinants of five panicle traits. A total of 1.29 million single nucleotide polymorphism (SNP) loci were...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507276/ https://www.ncbi.nlm.nih.gov/pubmed/37732315 http://dx.doi.org/10.3389/fgene.2023.1239550 |
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author | Liu, Zhengbo Sun, Hao Zhang, Yanan Du, Mingyu Xiang, Jun Li, Xinru Chang, Yinping Sun, Jinghan Cheng, Xianping Xiong, Mengyuan Zhao, Zhe Liu, Erbao |
author_facet | Liu, Zhengbo Sun, Hao Zhang, Yanan Du, Mingyu Xiang, Jun Li, Xinru Chang, Yinping Sun, Jinghan Cheng, Xianping Xiong, Mengyuan Zhao, Zhe Liu, Erbao |
author_sort | Liu, Zhengbo |
collection | PubMed |
description | Panicle traits are important for improving the panicle architecture and grain yield of rice. Therefore, we performed a genome-wide association study (GWAS) to analyze and determine the genetic determinants of five panicle traits. A total of 1.29 million single nucleotide polymorphism (SNP) loci were detected in 162 rice materials. We carried out a GWAS of panicle length (PL), total grain number per panicle (TGP), filled grain number per panicle (FGP), seed setting rate (SSR) and grain weight per panicle (GWP) in 2019, 2020 and 2021. Four quantitative trait loci (QTLs) for PL were detected on chromosomes 1, 6, and 9; one QTL for TGP, FGP, and GWP was detected on chromosome 4; two QTLs for FGP were detected on chromosomes 4 and 7; and one QTL for SSR was detected on chromosome 1. These QTLs were detected via a general linear model (GLM) and mixed linear model (MLM) in both years of the study period. In this study, the genomic best linear unbiased prediction (BLUP) method was used to verify the accuracy of the GWAS results. There are nine QTLs were both detected by the multi-environment GWAS method and the BLUP method. Moreover, further analysis revealed that three candidate genes, LOC_Os01g43700, LOC_Os09g25784, and LOC_Os04g47890, may be significantly related to panicle traits of rice. Haplotype analysis indicated that LOC_Os01g43700 and LOC_Os09g25784 are highly associated with PL and that LOC_Os04g47890 is highly associated with TGP, FGP, and GWP. Our results offer essential genetic information for the molecular improvement of panicle traits. The identified candidate genes and elite haplotypes could be used in marker-assisted selection to improve rice yield through pyramid breeding. |
format | Online Article Text |
id | pubmed-10507276 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-105072762023-09-20 Mining the candidate genes of rice panicle traits via a genome-wide association study Liu, Zhengbo Sun, Hao Zhang, Yanan Du, Mingyu Xiang, Jun Li, Xinru Chang, Yinping Sun, Jinghan Cheng, Xianping Xiong, Mengyuan Zhao, Zhe Liu, Erbao Front Genet Genetics Panicle traits are important for improving the panicle architecture and grain yield of rice. Therefore, we performed a genome-wide association study (GWAS) to analyze and determine the genetic determinants of five panicle traits. A total of 1.29 million single nucleotide polymorphism (SNP) loci were detected in 162 rice materials. We carried out a GWAS of panicle length (PL), total grain number per panicle (TGP), filled grain number per panicle (FGP), seed setting rate (SSR) and grain weight per panicle (GWP) in 2019, 2020 and 2021. Four quantitative trait loci (QTLs) for PL were detected on chromosomes 1, 6, and 9; one QTL for TGP, FGP, and GWP was detected on chromosome 4; two QTLs for FGP were detected on chromosomes 4 and 7; and one QTL for SSR was detected on chromosome 1. These QTLs were detected via a general linear model (GLM) and mixed linear model (MLM) in both years of the study period. In this study, the genomic best linear unbiased prediction (BLUP) method was used to verify the accuracy of the GWAS results. There are nine QTLs were both detected by the multi-environment GWAS method and the BLUP method. Moreover, further analysis revealed that three candidate genes, LOC_Os01g43700, LOC_Os09g25784, and LOC_Os04g47890, may be significantly related to panicle traits of rice. Haplotype analysis indicated that LOC_Os01g43700 and LOC_Os09g25784 are highly associated with PL and that LOC_Os04g47890 is highly associated with TGP, FGP, and GWP. Our results offer essential genetic information for the molecular improvement of panicle traits. The identified candidate genes and elite haplotypes could be used in marker-assisted selection to improve rice yield through pyramid breeding. Frontiers Media S.A. 2023-09-04 /pmc/articles/PMC10507276/ /pubmed/37732315 http://dx.doi.org/10.3389/fgene.2023.1239550 Text en Copyright © 2023 Liu, Sun, Zhang, Du, Xiang, Li, Chang, Sun, Cheng, Xiong, Zhao and Liu. 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 | Genetics Liu, Zhengbo Sun, Hao Zhang, Yanan Du, Mingyu Xiang, Jun Li, Xinru Chang, Yinping Sun, Jinghan Cheng, Xianping Xiong, Mengyuan Zhao, Zhe Liu, Erbao Mining the candidate genes of rice panicle traits via a genome-wide association study |
title | Mining the candidate genes of rice panicle traits via a genome-wide association study |
title_full | Mining the candidate genes of rice panicle traits via a genome-wide association study |
title_fullStr | Mining the candidate genes of rice panicle traits via a genome-wide association study |
title_full_unstemmed | Mining the candidate genes of rice panicle traits via a genome-wide association study |
title_short | Mining the candidate genes of rice panicle traits via a genome-wide association study |
title_sort | mining the candidate genes of rice panicle traits via a genome-wide association study |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507276/ https://www.ncbi.nlm.nih.gov/pubmed/37732315 http://dx.doi.org/10.3389/fgene.2023.1239550 |
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