[an error occurred while processing this directive]

Hereditas(Beijing) ›› 2023, Vol. 45 ›› Issue (9): 835-844.doi: 10.16288/j.yczz.23-064

• Research Article • Previous Articles     Next Articles

qGL3.4 controls kernel size and plant architecture in rice

Zhenwu Zheng1,2(), Hongyuan Zhao1,2, Xiaoya Liang1,2, Yijun Wang1,2, Chihang Wang1,2, Gaoyan Gong1,2, Jinyan Huang1,2, Guiquan Zhang1,2, Shaokui Wang1,2(), Zupei Liu1,2()   

  1. 1. Guangdong Provincial Key Laboratory of Plant Molecular Breeding, State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou 510642, China
    2. Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510630, China
  • Received:2023-03-20 Revised:2023-06-27 Online:2023-09-20 Published:2023-07-28
  • Contact: Shaokui Wang,Zupei Liu E-mail:958779674@qq.com;lzp2020@scau.edu.cn;shaokuiwang@scau.edu.cn
  • Supported by:
    Natural Science Foundation of Guangdong Province(2023A1515012083);Science and Technology Planning Project of Guangzhou(2023A04J1962);National Natural Science Foundation of China(32201742);Double First-class Discipline Promotion Project(2021B10564001)

Abstract:

Kernel size and plant architecture play important roles in kernel yield in rice. Cloning and functional study of genes related to kernel size and plant architecture are of great significance for breeding high-yield rice. Using the single-segment substitution lines which developed with Oryza barthii as a donor parent and an elite indica cultivar Huajingxian74 (HJX74) as a recipient parent, we identified a novel QTL (quantitative trait locus), named qGL3.4, which controls kernel size and plant architecture. Compared with HJX74, the kernel length, kernel width, 1000-kernel weight, panicle length, kernels per plant, primary branches, yield per plant, and plant height of near isogenic line-qGL3.4 (NIL-qGL3.4) are increased, whereas the panicles per plant and secondary branches per panicle of NIL-qGL3.4 are comparable to those of HJX74. qGL3.4 was narrowed to a 239.18 kb interval on chromosome 3. Cell analysis showed that NIL-qGL3.4 controlled kernel size by regulating cell growth. qGL3.4 controls kernel size at least in part through regulating the transcription levels of EXPANSINS, GS3, GL3.1, PGL1, GL7, OsSPL13 and GS5. These results indicate that qGL3.4 might be beneficial for improving kernel yield and plant architecture in rice breeding.

Key words: rice, kernel size, plant architecture, single segment substitution line