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Natural variation of RGN1a regulates grain number per panicle in japonica rice
The grain number per panicle (GNP) is an important yield component. Identifying naturally favorable variations in GNP will benefit high-yield rice breeding. Here, we performed a genome-wide association study using a mini-core collection of 266 cultivated rice accessions with deep sequencing data and...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9795840/ https://www.ncbi.nlm.nih.gov/pubmed/36589052 http://dx.doi.org/10.3389/fpls.2022.1097622 |
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author | Zhang, Quan Xie, Jianyin Wang, Xueqiang Liu, Miaosong Zhu, Xiaoyang Yang, Tao Khan, Najeeb Ullah Sun, Chen Li, Jinjie Zhang, Zhanying Li, Zichao Zhang, Hongliang |
author_facet | Zhang, Quan Xie, Jianyin Wang, Xueqiang Liu, Miaosong Zhu, Xiaoyang Yang, Tao Khan, Najeeb Ullah Sun, Chen Li, Jinjie Zhang, Zhanying Li, Zichao Zhang, Hongliang |
author_sort | Zhang, Quan |
collection | PubMed |
description | The grain number per panicle (GNP) is an important yield component. Identifying naturally favorable variations in GNP will benefit high-yield rice breeding. Here, we performed a genome-wide association study using a mini-core collection of 266 cultivated rice accessions with deep sequencing data and investigated the phenotype for three years. Three genes, i.e., TOTOU1 (TUT1), Grain height date 7 (Ghd7), and Days to heading 7/Grain height date 7.1/Pseudo-Response Regulator37 (DTH7/Ghd7.1/OsPRR37), which regulate GNP, were found in the quantitative trait loci (QTL) identified in this study. A stable QTL, qGNP1.3, which showed a strong correlation with variations in GNP, was repeatedly detected. After functional and transgenic phenotype analysis, we identified a novel gene, regulator of grain number 1a (RGN1a), which codes for protein kinase, controlling GNP in rice. The RGN1a mutation caused 37.2%, 27.8%, 51.2%, and 25.5% decreases in grain number, primary branch number per panicle, secondary branch number per panicle, and panicle length, respectively. Furthermore, breeding utilization analysis revealed that the additive effects of the dominant allelic variants of RGN1a and DTH7 played a significant role in increasing the grain number per panicle in japonica rice. Our findings enrich the gene pool and provide an effective strategy for the genetic improvement of grain numbers. |
format | Online Article Text |
id | pubmed-9795840 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97958402022-12-29 Natural variation of RGN1a regulates grain number per panicle in japonica rice Zhang, Quan Xie, Jianyin Wang, Xueqiang Liu, Miaosong Zhu, Xiaoyang Yang, Tao Khan, Najeeb Ullah Sun, Chen Li, Jinjie Zhang, Zhanying Li, Zichao Zhang, Hongliang Front Plant Sci Plant Science The grain number per panicle (GNP) is an important yield component. Identifying naturally favorable variations in GNP will benefit high-yield rice breeding. Here, we performed a genome-wide association study using a mini-core collection of 266 cultivated rice accessions with deep sequencing data and investigated the phenotype for three years. Three genes, i.e., TOTOU1 (TUT1), Grain height date 7 (Ghd7), and Days to heading 7/Grain height date 7.1/Pseudo-Response Regulator37 (DTH7/Ghd7.1/OsPRR37), which regulate GNP, were found in the quantitative trait loci (QTL) identified in this study. A stable QTL, qGNP1.3, which showed a strong correlation with variations in GNP, was repeatedly detected. After functional and transgenic phenotype analysis, we identified a novel gene, regulator of grain number 1a (RGN1a), which codes for protein kinase, controlling GNP in rice. The RGN1a mutation caused 37.2%, 27.8%, 51.2%, and 25.5% decreases in grain number, primary branch number per panicle, secondary branch number per panicle, and panicle length, respectively. Furthermore, breeding utilization analysis revealed that the additive effects of the dominant allelic variants of RGN1a and DTH7 played a significant role in increasing the grain number per panicle in japonica rice. Our findings enrich the gene pool and provide an effective strategy for the genetic improvement of grain numbers. Frontiers Media S.A. 2022-12-13 /pmc/articles/PMC9795840/ /pubmed/36589052 http://dx.doi.org/10.3389/fpls.2022.1097622 Text en Copyright © 2022 Zhang, Xie, Wang, Liu, Zhu, Yang, Khan, Sun, Li, Zhang, Li and Zhang 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 Zhang, Quan Xie, Jianyin Wang, Xueqiang Liu, Miaosong Zhu, Xiaoyang Yang, Tao Khan, Najeeb Ullah Sun, Chen Li, Jinjie Zhang, Zhanying Li, Zichao Zhang, Hongliang Natural variation of RGN1a regulates grain number per panicle in japonica rice |
title | Natural variation of RGN1a regulates grain number per panicle in japonica rice |
title_full | Natural variation of RGN1a regulates grain number per panicle in japonica rice |
title_fullStr | Natural variation of RGN1a regulates grain number per panicle in japonica rice |
title_full_unstemmed | Natural variation of RGN1a regulates grain number per panicle in japonica rice |
title_short | Natural variation of RGN1a regulates grain number per panicle in japonica rice |
title_sort | natural variation of rgn1a regulates grain number per panicle in japonica rice |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9795840/ https://www.ncbi.nlm.nih.gov/pubmed/36589052 http://dx.doi.org/10.3389/fpls.2022.1097622 |
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