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Genetic architecture of head rice and rice chalky grain percentages using genome-wide association studies
High head rice and low chalky grain percentages are key grain quality traits selected in developing rice cultivars. The objectives of this research were to characterize the phenotypic variation of head rice and chalky grain percentages in a diverse collection of rice accessions, identify single nucl...
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/PMC10691675/ https://www.ncbi.nlm.nih.gov/pubmed/38046607 http://dx.doi.org/10.3389/fpls.2023.1274823 |
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author | Sanchez, Darlene L. Samonte, Stanley Omar PB. Wilson, Lloyd T. |
author_facet | Sanchez, Darlene L. Samonte, Stanley Omar PB. Wilson, Lloyd T. |
author_sort | Sanchez, Darlene L. |
collection | PubMed |
description | High head rice and low chalky grain percentages are key grain quality traits selected in developing rice cultivars. The objectives of this research were to characterize the phenotypic variation of head rice and chalky grain percentages in a diverse collection of rice accessions, identify single nucleotide polymorphism (SNP) markers associated with each of these traits using genome-wide association studies (GWAS), and identify putative candidate genes linked to the SNPs identified by GWAS. Diverse rice varieties, landraces, and breeding lines were grown at the Texas A&M AgriLife Research Center in Beaumont. Head rice percentages (HRP) and chalky grain percentages (CGP) of 195 and 199 non-waxy accessions were estimated in 2018 and 2019, respectively. Phenotypic data were analyzed along with 854,832 SNPs using three statistical models: mixed linear model (MLM), multi-locus mixed model (MLMM), and fixed and random model circulating probability unification (FarmCPU). Significant variations in HRP and CGP were observed between rice accessions. Two significant marker-trait associations (MTAs) were detected on chromosomes 1 and 2, respectively, based on best linear unbiased prediction (BLUP) values in 2018, while in 2019, one SNP was significantly associated with HRP in each of chromosomes 6, 8, 9, and 11, and two in chromosome 7. CGP was significantly associated with five SNPs located in chromosomes 2, 4, 6, and 8 in the 2018 study and ten SNPs in chromosomes 1, 2, 3, 4, 7, 8, 11, and 12 in the 2019 study. The SNPs are located within or linked to putative candidate genes involved in HRP and CGP. This study reports five and ten novel MTAs for HRP and CGP, respectively, while three and five MTAs co-located with previously reported quantitative trait loci for HRP and CGP, respectively. The validation of candidate genes for their roles in determining HRP and CGP is necessary to design functional molecular markers that can be used to effectively develop rice cultivars with desirable grain quality. |
format | Online Article Text |
id | pubmed-10691675 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-106916752023-12-02 Genetic architecture of head rice and rice chalky grain percentages using genome-wide association studies Sanchez, Darlene L. Samonte, Stanley Omar PB. Wilson, Lloyd T. Front Plant Sci Plant Science High head rice and low chalky grain percentages are key grain quality traits selected in developing rice cultivars. The objectives of this research were to characterize the phenotypic variation of head rice and chalky grain percentages in a diverse collection of rice accessions, identify single nucleotide polymorphism (SNP) markers associated with each of these traits using genome-wide association studies (GWAS), and identify putative candidate genes linked to the SNPs identified by GWAS. Diverse rice varieties, landraces, and breeding lines were grown at the Texas A&M AgriLife Research Center in Beaumont. Head rice percentages (HRP) and chalky grain percentages (CGP) of 195 and 199 non-waxy accessions were estimated in 2018 and 2019, respectively. Phenotypic data were analyzed along with 854,832 SNPs using three statistical models: mixed linear model (MLM), multi-locus mixed model (MLMM), and fixed and random model circulating probability unification (FarmCPU). Significant variations in HRP and CGP were observed between rice accessions. Two significant marker-trait associations (MTAs) were detected on chromosomes 1 and 2, respectively, based on best linear unbiased prediction (BLUP) values in 2018, while in 2019, one SNP was significantly associated with HRP in each of chromosomes 6, 8, 9, and 11, and two in chromosome 7. CGP was significantly associated with five SNPs located in chromosomes 2, 4, 6, and 8 in the 2018 study and ten SNPs in chromosomes 1, 2, 3, 4, 7, 8, 11, and 12 in the 2019 study. The SNPs are located within or linked to putative candidate genes involved in HRP and CGP. This study reports five and ten novel MTAs for HRP and CGP, respectively, while three and five MTAs co-located with previously reported quantitative trait loci for HRP and CGP, respectively. The validation of candidate genes for their roles in determining HRP and CGP is necessary to design functional molecular markers that can be used to effectively develop rice cultivars with desirable grain quality. Frontiers Media S.A. 2023-11-17 /pmc/articles/PMC10691675/ /pubmed/38046607 http://dx.doi.org/10.3389/fpls.2023.1274823 Text en Copyright © 2023 Sanchez, Samonte and Wilson 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 Sanchez, Darlene L. Samonte, Stanley Omar PB. Wilson, Lloyd T. Genetic architecture of head rice and rice chalky grain percentages using genome-wide association studies |
title | Genetic architecture of head rice and rice chalky grain percentages using genome-wide association studies |
title_full | Genetic architecture of head rice and rice chalky grain percentages using genome-wide association studies |
title_fullStr | Genetic architecture of head rice and rice chalky grain percentages using genome-wide association studies |
title_full_unstemmed | Genetic architecture of head rice and rice chalky grain percentages using genome-wide association studies |
title_short | Genetic architecture of head rice and rice chalky grain percentages using genome-wide association studies |
title_sort | genetic architecture of head rice and rice chalky grain percentages using genome-wide association studies |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10691675/ https://www.ncbi.nlm.nih.gov/pubmed/38046607 http://dx.doi.org/10.3389/fpls.2023.1274823 |
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