Genetic Analysis and Fine Mapping of QTLs for Stigma Exsertion Rate in Rice

被引:0
|
作者
Yang, Hanyuan [1 ]
Zhou, Yin [1 ]
Li, Pingbo [1 ]
Liu, Enyu [1 ]
Sun, Ping [1 ]
Ao, Yiting [1 ]
Liu, Rongjia [1 ]
Gao, Haozhou [1 ]
Xu, Zherui [1 ]
Yang, Ping [1 ]
Wang, Xinyue [1 ]
Gao, Guanjun [1 ]
Zhang, Qinglu [1 ]
Xiong, Lizhong [1 ]
He, Yuqing [1 ]
机构
[1] Huazhong Agr Univ, Natl Ctr Plant Gene Res, Natl Key Lab Crop Genet Improvement, Hubei Hongshan Lab, Wuhan 430070, Peoples R China
关键词
Stigma exsertion rate; QTL; Recombinant inbred line; Residual heterozygous line; Fine mapping; Rice; QUANTITATIVE TRAIT LOCI; ORYZA-SATIVA L; FLORAL CHARACTERISTICS; PIN GENES; IDENTIFICATION; EXPRESSION; MANGANESE; CROSS; LINES;
D O I
10.1186/s12284-024-00752-6
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Stigma exsertion rate (SER) is a crucial trait that influences the seed production of hybrid rice by determining the outcrossing ability of male sterile lines (MSLs). However, the molecular genetic mechanisms underlying SER are still poorly understood. In this study, we identified 14 quantitative trait loci (QTLs) using a recombinant inbred line (RIL) population derived from B805D-MR-16-8-3 (B805D) and Hua6S. Two major QTLs, qSE1 and qSE9, were validated for their effects in the residual heterozygous line (RHL) background. The RHL carrying homozygous qSE1 region from Hua6S increased dual stigma exsertion rate (DSE) by 14.67% and 15.04%, and increased total stigma exsertion rate (TSE) by 11.73% and 13.04%, in F10 and F11 progeny, respectively. Conversely, the RHL carrying homozygous qSE9 region from B805D showed a substantial increase of 22.72% and 14.45% in single stigma exsertion rate (SSE), an increase of 13.46% and 8.30% in TSE, and an increase in percentage of spikelets with exserted stigma (PSE) by 24.82% and 15.57%, respectively, in F10 and F11 progeny. Furthermore, examination of floral organ traits revealed that both the Hua6S allele of qSE1 and the B805D allele of qSE9 increased pistil size to improve SER, but they had contrasting effects on spikelet shape. Subsequently, qSE1 and qSE9 were fine-mapped to intervals of 246.5 kb and 341.4 kb, respectively. A combination of sequencing, expression and haplotype analysis revealed that a single nucleotide variation (T to C) in the 5'UTR region of LOC_Os01g72020 (OsBOP1) was likely to be the functional variation for qSE1. Collectively, our work has laid a foundation for cloning the genes responsible for SER, and demonstrated that the Hua6S allele of qSE1 and the B805D allele of qSE9 can effectively increase SER, which could make important contributions to the genetic improvement of MSLs aimed at improving hybrid seed production.
引用
收藏
页数:13
相关论文
共 50 条
  • [41] Mapping QTLs for Milling Quality Traits in Japonica Rice
    Zhao, Fei
    Yin, Weina
    Du, Jin
    Liu, Jian
    Xiang, Chunyang
    Pei, Zhongyou
    Cao, Gaoyi
    2019 INTERNATIONAL SYMPOSIUM ON AGRICULTURE, FOOD AND BIOTECHNOLOGY (ISAFB 2019), 2019, : 246 - 253
  • [42] Fine mapping and candidate gene analysis of a major QTL for panicle structure in rice
    Peng, Youlin
    Gao, Zhenyu
    Zhang, Bin
    Liu, Chaolei
    Xu, Jie
    Ruan, Banpu
    Hu, Jiang
    Dong, Guojun
    Guo, Longbiao
    Liang, Guohua
    Qian, Qian
    PLANT CELL REPORTS, 2014, 33 (11) : 1843 - 1850
  • [43] Genetic Dissection of Major Rice QTLs for Strong Culms and Fine Mapping of qWS5 for Breeding Application in Transplanted System
    Bian, Zhong
    Cao, Dongping
    Zou, Yiting
    Xie, Dong
    Zhuang, Wenshu
    Sun, Zixing
    Mou, Nana
    Sun, Yangyang
    Zhang, Changquan
    Li, Qianfeng
    Liu, Qiaoquan
    Zhang, Lin
    RICE, 2024, 17 (01)
  • [44] Mapping of QTLs controlling seedling establishment using a direct seeding method in rice
    Iwata, Natsuko
    Shinada, Hiroshi
    Kiuchi, Hitoshi
    Sato, Takashi
    Fujino, Kenji
    BREEDING SCIENCE, 2010, 60 (04) : 353 - 360
  • [45] Genetic analysis and molecular mapping of QTLs associated with resistance to bacterial blight in a rice mutant, SA0423
    Tseng, Hsin-Yi
    Lin, Da-Gin
    Hsieh, Hsiao-Ying
    Tseng, Ya-June
    Tseng, Wen-Bin
    Chen, Chun-Wei
    Wang, Chang-Sheng
    EUPHYTICA, 2015, 205 (01) : 231 - 241
  • [46] Genetic Analysis and Fine Mapping of a New Rice Mutant, Leaf Tip Senescence 2
    Cui, Yongtao
    Song, Jian
    Tang, Liqun
    Xu, Xiaozheng
    Peng, Xinlu
    Fan, Honghuan
    Wang, Jianjun
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2024, 25 (13)
  • [47] Substitution Mapping of the Major Quantitative Trait Loci Controlling Stigma Exsertion Rate from Oryza glumaepatula
    Quanya Tan
    Tuo Zou
    Mingmin Zheng
    Yuerong Ni
    Xin Luan
    Xiaohui Li
    Weifeng Yang
    Zifeng Yang
    Haitao Zhu
    Ruizhen Zeng
    Guifu Liu
    Shaokui Wang
    Xuelin Fu
    Guiquan Zhang
    Rice, 2020, 13
  • [48] Fine Mapping of Five Grain Size QTLs Which Affect Grain Yield and Quality in Rice
    Zhou, Yin
    Yang, Hanyuan
    Liu, Enyu
    Liu, Rongjia
    Alam, Mufid
    Gao, Haozhou
    Gao, Guanjun
    Zhang, Qinglu
    Li, Yanhua
    Xiong, Lizhong
    He, Yuqing
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2024, 25 (08)
  • [49] Genetic mapping and confirmation of quantitative trait loci for grain chalkiness in rice
    Yun, Peng
    Zhu, Yun
    Wu, Bian
    Gao, Guanjun
    Sun, Ping
    Zhang, Qinglu
    He, Yuqing
    MOLECULAR BREEDING, 2016, 36 (12)
  • [50] High-density genetic mapping identified QTLs for anaerobic germination tolerance in rice
    Liang, Wenhua
    Du, Hongyang
    Pang, Bingwen
    Cheng, Junjie
    He, Bing
    Hu, Fengqin
    Lv, Yuanda
    Zhang, Yadong
    FRONTIERS IN PLANT SCIENCE, 2022, 13