Cargando…
Genetic Diversity Relationship Between Grain Quality and Appearance in Rice
Grain quality is an important breeding objective in rice, and the appearance of the grain also affects its commercial value in the market. The aim of this study was to decode the rice grain qualities and appearances, such as gelatinization temperature (GT), amylose content (AC), grain protein conten...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8365354/ https://www.ncbi.nlm.nih.gov/pubmed/34408762 http://dx.doi.org/10.3389/fpls.2021.708996 |
_version_ | 1783738691102965760 |
---|---|
author | Zhong, Hua Liu, Shuai Zhao, Gangqing Zhang, Chenhao Peng, Zhaohua Wang, Zhaohai Yang, Jing Li, Yangsheng |
author_facet | Zhong, Hua Liu, Shuai Zhao, Gangqing Zhang, Chenhao Peng, Zhaohua Wang, Zhaohai Yang, Jing Li, Yangsheng |
author_sort | Zhong, Hua |
collection | PubMed |
description | Grain quality is an important breeding objective in rice, and the appearance of the grain also affects its commercial value in the market. The aim of this study was to decode the rice grain qualities and appearances, such as gelatinization temperature (GT), amylose content (AC), grain protein content (GPC), pericarp color (PC), length/width ratio (LWR), and grain volume (GV) at phenotypic and genetic levels, as well as the relationships among them. A genome-wide association study (GWAS) was used to identify the quantitative trait locus (QTLs) associated with the target traits using mixed linear model (MLM) and Bayesian-information and linkage-disequilibrium iteratively nested keyway (BLINK) methods. In general, AC was negatively correlated with GPC and GV, while it was positively correlated with LWR and PC. GPC was positively correlated with LWR. Using the rice diversity panel 1 (RDP1) population, we identified 11, 6, 2, 7, 11, and 6 QTLs associated with GT, AC, GPC, PC, LWR, and GV, respectively. Five germplasm lines, superior in grain qualities and appearances for basic breeding materials or improvement, were identified. Notably, an F-box gene OsFbox394 was located in the linkage disequilibrium (LD) block of qLWR7-2, which specifically expresses in endosperm and seed tissues, suggesting that this gene may regulate the seed development in rice grain. Besides, different haplotypes of OsHyPRP45 showed significant differences in AC, indicating that this gene may be related to AC in rice grain. |
format | Online Article Text |
id | pubmed-8365354 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-83653542021-08-17 Genetic Diversity Relationship Between Grain Quality and Appearance in Rice Zhong, Hua Liu, Shuai Zhao, Gangqing Zhang, Chenhao Peng, Zhaohua Wang, Zhaohai Yang, Jing Li, Yangsheng Front Plant Sci Plant Science Grain quality is an important breeding objective in rice, and the appearance of the grain also affects its commercial value in the market. The aim of this study was to decode the rice grain qualities and appearances, such as gelatinization temperature (GT), amylose content (AC), grain protein content (GPC), pericarp color (PC), length/width ratio (LWR), and grain volume (GV) at phenotypic and genetic levels, as well as the relationships among them. A genome-wide association study (GWAS) was used to identify the quantitative trait locus (QTLs) associated with the target traits using mixed linear model (MLM) and Bayesian-information and linkage-disequilibrium iteratively nested keyway (BLINK) methods. In general, AC was negatively correlated with GPC and GV, while it was positively correlated with LWR and PC. GPC was positively correlated with LWR. Using the rice diversity panel 1 (RDP1) population, we identified 11, 6, 2, 7, 11, and 6 QTLs associated with GT, AC, GPC, PC, LWR, and GV, respectively. Five germplasm lines, superior in grain qualities and appearances for basic breeding materials or improvement, were identified. Notably, an F-box gene OsFbox394 was located in the linkage disequilibrium (LD) block of qLWR7-2, which specifically expresses in endosperm and seed tissues, suggesting that this gene may regulate the seed development in rice grain. Besides, different haplotypes of OsHyPRP45 showed significant differences in AC, indicating that this gene may be related to AC in rice grain. Frontiers Media S.A. 2021-08-02 /pmc/articles/PMC8365354/ /pubmed/34408762 http://dx.doi.org/10.3389/fpls.2021.708996 Text en Copyright © 2021 Zhong, Liu, Zhao, Zhang, Peng, Wang, Yang and Li. 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 Zhong, Hua Liu, Shuai Zhao, Gangqing Zhang, Chenhao Peng, Zhaohua Wang, Zhaohai Yang, Jing Li, Yangsheng Genetic Diversity Relationship Between Grain Quality and Appearance in Rice |
title | Genetic Diversity Relationship Between Grain Quality and Appearance in Rice |
title_full | Genetic Diversity Relationship Between Grain Quality and Appearance in Rice |
title_fullStr | Genetic Diversity Relationship Between Grain Quality and Appearance in Rice |
title_full_unstemmed | Genetic Diversity Relationship Between Grain Quality and Appearance in Rice |
title_short | Genetic Diversity Relationship Between Grain Quality and Appearance in Rice |
title_sort | genetic diversity relationship between grain quality and appearance in rice |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8365354/ https://www.ncbi.nlm.nih.gov/pubmed/34408762 http://dx.doi.org/10.3389/fpls.2021.708996 |
work_keys_str_mv | AT zhonghua geneticdiversityrelationshipbetweengrainqualityandappearanceinrice AT liushuai geneticdiversityrelationshipbetweengrainqualityandappearanceinrice AT zhaogangqing geneticdiversityrelationshipbetweengrainqualityandappearanceinrice AT zhangchenhao geneticdiversityrelationshipbetweengrainqualityandappearanceinrice AT pengzhaohua geneticdiversityrelationshipbetweengrainqualityandappearanceinrice AT wangzhaohai geneticdiversityrelationshipbetweengrainqualityandappearanceinrice AT yangjing geneticdiversityrelationshipbetweengrainqualityandappearanceinrice AT liyangsheng geneticdiversityrelationshipbetweengrainqualityandappearanceinrice |