Literature DB >> 29299612

Characterisation of a novel quantitative trait locus, GN4-1, for grain number and yield in rice (Oryza sativa L.).

Yong Zhou1, Yajun Tao1, Yuan Yuan1, Yanzhou Zhang1, Jun Miao1, Ron Zhang1, Chuandeng Yi1, Zhiyun Gong1, Zefeng Yang2, Guohua Liang3.   

Abstract

KEY MESSAGE: A novel QTL for grain number, GN4-1, was identified and fine-mapped to an ~ 190-kb region on the long arm of rice chromosome 4. Rice grain yield is primarily determined by three components: number of panicles per plant, grain number per panicle and grain weight. Among these traits, grain number per panicle is the major contributor to grain yield formation and is a crucial trait for yield improvement. In this study, we identified a major quantitative trait locus (QTL) responsible for rice grain number on chromosome 4, designated GN4-1 (a QTL for Grain Number on chromosome 4), using advanced segregating populations derived from the crosses between an elite indica cultivar 'Zhonghui 8006' (ZH8006) and a japonica rice 'Wuyunjing 8' (WYJ8). GN4-1 was delimited to an ~ 190-kb region on chromosome 4. The genetic effect of GN4-1 was estimated using a pair of near-isogenic lines. The GN4-1 gene from WYJ8 promoted accumulation of cytokinins in the inflorescence and increased grain number per panicle by ~ 17%. More importantly, introduction of the WYJ8 GN4-1 gene into ZH8006 increased grain yield by ~ 14.3 and ~ 11.5% in the experimental plots in 2014 and 2015, respectively. In addition, GN4-1 promoted thickening of the culm and may enhance resistance to lodging. These results demonstrate that GN4-1 is a potentially valuable gene for improvement of yield and lodging resistance in rice breeding.

Entities:  

Mesh:

Substances:

Year:  2018        PMID: 29299612     DOI: 10.1007/s00122-017-3025-y

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  38 in total

1.  Cytokinin oxidase regulates rice grain production.

Authors:  Motoyuki Ashikari; Hitoshi Sakakibara; Shaoyang Lin; Toshio Yamamoto; Tomonori Takashi; Asuka Nishimura; Enrique R Angeles; Qian Qian; Hidemi Kitano; Makoto Matsuoka
Journal:  Science       Date:  2005-06-23       Impact factor: 47.728

2.  NAL1 allele from a rice landrace greatly increases yield in modern indica cultivars.

Authors:  Daisuke Fujita; Kurniawan Rudi Trijatmiko; Analiza Grubanzo Tagle; Maria Veronica Sapasap; Yohei Koide; Kazuhiro Sasaki; Nikolaos Tsakirpaloglou; Ritchel Bueno Gannaban; Takeshi Nishimura; Seiji Yanagihara; Yoshimichi Fukuta; Tomokazu Koshiba; Inez Hortense Slamet-Loedin; Tsutomu Ishimaru; Nobuya Kobayashi
Journal:  Proc Natl Acad Sci U S A       Date:  2013-12-02       Impact factor: 11.205

3.  Natural variation in Ghd7 is an important regulator of heading date and yield potential in rice.

Authors:  Weiya Xue; Yongzhong Xing; Xiaoyu Weng; Yu Zhao; Weijiang Tang; Lei Wang; Hongju Zhou; Sibin Yu; Caiguo Xu; Xianghua Li; Qifa Zhang
Journal:  Nat Genet       Date:  2008-05-04       Impact factor: 38.330

4.  Regulation of inflorescence branch development in rice through a novel pathway involving the pentatricopeptide repeat protein sped1-D.

Authors:  Guanghuai Jiang; Yanghai Xiang; Jiying Zhao; Dedong Yin; Xianfeng Zhao; Lihuang Zhu; Wenxue Zhai
Journal:  Genetics       Date:  2014-06-20       Impact factor: 4.562

5.  Identification of candidate genes for grain number in rice (Oryza sativa L.).

Authors:  Rupesh Deshmukh; Abhinay Singh; Neha Jain; Shweta Anand; Raju Gacche; Ashok Singh; Kishor Gaikwad; Tilak Sharma; Trilochan Mohapatra; Nagendra Singh
Journal:  Funct Integr Genomics       Date:  2010-04-08       Impact factor: 3.410

6.  Rice zinc finger protein DST enhances grain production through controlling Gn1a/OsCKX2 expression.

Authors:  Shuyu Li; Bingran Zhao; Dingyang Yuan; Meijuan Duan; Qian Qian; Li Tang; Bao Wang; Xiaoqiang Liu; Jie Zhang; Jun Wang; Jiaqiang Sun; Zhao Liu; Yu-Qi Feng; Longping Yuan; Chuanyou Li
Journal:  Proc Natl Acad Sci U S A       Date:  2013-02-04       Impact factor: 11.205

7.  An-2 Encodes a Cytokinin Synthesis Enzyme that Regulates Awn Length and Grain Production in Rice.

Authors:  Benguo Gu; Taoying Zhou; Jianghong Luo; Hui Liu; Yongchun Wang; Yingying Shangguan; Jingjie Zhu; Yan Li; Tao Sang; Zixuan Wang; Bin Han
Journal:  Mol Plant       Date:  2015-08-15       Impact factor: 13.164

8.  LSCHL4 from Japonica Cultivar, which is allelic to NAL1, increases yield of indica super rice 93-11.

Authors:  Guang-Heng Zhang; Shu-Yu Li; Li Wang; Wei-Jun Ye; Da-Li Zeng; Yu-Chun Rao; You-Lin Peng; Jiang Hu; Yao-Long Yang; Jie Xu; De-Yong Ren; Zhen-Yu Gao; Li Zhu; Guo-Jun Dong; Xing-Ming Hu; Mei-Xian Yan; Long-Biao Guo; Chuan-You Li; Qian Qian
Journal:  Mol Plant       Date:  2014-05-02       Impact factor: 13.164

9.  Ghd2, a CONSTANS-like gene, confers drought sensitivity through regulation of senescence in rice.

Authors:  Juhong Liu; Jianqiang Shen; Yan Xu; Xianghua Li; Jinghua Xiao; Lizhong Xiong
Journal:  J Exp Bot       Date:  2016-09-16       Impact factor: 6.992

10.  New approach to increasing rice lodging resistance and biomass yield through the use of high gibberellin producing varieties.

Authors:  Ayako Okuno; Ko Hirano; Kenji Asano; Wakana Takase; Reiko Masuda; Yoichi Morinaka; Miyako Ueguchi-Tanaka; Hidemi Kitano; Makoto Matsuoka
Journal:  PLoS One       Date:  2014-02-19       Impact factor: 3.240

View more
  6 in total

1.  Precise genetic mapping of Rf18(t), a new fertility restorer gene from 'Nipponbare' for wild abortive cytoplasmic male sterility in rice (Oryza sativa L.).

Authors:  Honggen Zhang; Xixu Li; Zuopeng Xu; Zihao Wan; Ruixuan Wang; Xiangqiang Zhao; Geliang Tu; Guohua Liang; Minghong Gu; Shuzhu Tang
Journal:  Theor Appl Genet       Date:  2022-06-14       Impact factor: 5.574

Review 2.  Marker-assisted selection in rice breeding programs in Hokkaido.

Authors:  Kenji Fujino; Yuji Hirayama; Ryota Kaji
Journal:  Breed Sci       Date:  2019-07-24       Impact factor: 2.086

Review 3.  Phytohormone-Mediated Molecular Mechanisms Involving Multiple Genes and QTL Govern Grain Number in Rice.

Authors:  Priyanka Deveshwar; Ankita Prusty; Shivam Sharma; Akhilesh K Tyagi
Journal:  Front Genet       Date:  2020-11-12       Impact factor: 4.599

Review 4.  Molecular and Genetic Aspects of Grain Number Determination in Rice (Oryza sativa L.).

Authors:  Changxi Yin; Yanchun Zhu; Xuefei Li; Yongjun Lin
Journal:  Int J Mol Sci       Date:  2021-01-13       Impact factor: 5.923

Review 5.  Introgression Lines: Valuable Resources for Functional Genomics Research and Breeding in Rice (Oryza sativa L.).

Authors:  Bo Zhang; Ling Ma; Bi Wu; Yongzhong Xing; Xianjin Qiu
Journal:  Front Plant Sci       Date:  2022-04-26       Impact factor: 6.627

Review 6.  Genetic and molecular factors in determining grain number per panicle of rice.

Authors:  Yue Lu; Mingli Chuan; Hanyao Wang; Rujia Chen; Tianyun Tao; Yong Zhou; Yang Xu; Pengcheng Li; Youli Yao; Chenwu Xu; Zefeng Yang
Journal:  Front Plant Sci       Date:  2022-08-04       Impact factor: 6.627

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.