Mining and effect evaluation and prediction of natural allele combinations of rice grain-size regulating genes

被引:0
作者
Zhang, Siqi [1 ,2 ]
Zhang, Jian [1 ]
Zhang, Yuming [1 ,2 ]
Ling, Ying [1 ]
Luo, Hanyang [2 ]
Liu, Hong [2 ]
Yang, Guili [1 ,3 ]
机构
[1] South China Agr Univ, Natl Engn Res Ctr Plant Space Breeding, Guangzhou 510642, Peoples R China
[2] South China Agr Univ, Agr Coll, Guangzhou 510642, Peoples R China
[3] Guangdong Lab Lingnan Modern Agr, China Maoming Branch, Guangzhou, Peoples R China
关键词
Rice; Grain size; Multiple allele combinations; Regression equation model; LENGTH; YIELD; GS3; QUALITY;
D O I
10.1007/s10681-023-03254-6
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Rice grain size directly affects grain yield and is an important quantitative trait target. Many genes regulating grain size have been mapped and cloned in recent years. These genes not only play a single role on grain size regulation but have mutual interactive effect on grain size. Mining key allele combinations of grain-size regulating genes will favorite the pyramiding of favorable alleles in rice varieties with desired grain size and shape that meet people's preferences. Here, we studied the effect of seven major grain-size regulating genes (GS3, GS5, GW8/OsSPL16, BG2, GS6, GS2 and TGW3) and their allele combinations on grain size-related traits (grain length, grain width, grain length width ratio, thousand grain weight), and established multiple regression equations to predict rice grain size. We found that alleles of seven genes displayed significant differences in rice grain size. Among the seven genes, GS3 gene played the most important effect in regulating grain size, pyramiding GS3 alleles with other alleles such as GS6-II/III allele could significantly enhance grain size or grain weight. Specific allele combination of GS3-A, GS2-ZH11, GS5-Zhenshan97, GS6-II/III, BG2-9311 and GW8-HJX74 can produce rice varieties with slender grains; allele combination of GS3-A, GS6-I, BG2-Nipponbare and TGW3-CW23 produce grains with higher grain weight. The regression equation model developed in this study provided a useful tool to predict rice grain size. These results would help in breeding rice varieties with ideal traits and high yield by pyramiding favorable alleles.
引用
收藏
页数:14
相关论文
共 38 条
  • [1] Diversity of Global Rice Markets and the Science Required for Consumer-Targeted Rice Breeding
    Calingacion, Mariafe
    Laborte, Alice
    Nelson, Andrew
    Resurreccion, Adoracion
    Concepcion, Jeanaflor Crystal
    Daygon, Venea Dara
    Mumm, Roland
    Reinke, Russell
    Dipti, Sharifa
    Bassinello, Priscila Zaczuk
    Manful, John
    Sophany, Sakhan
    Lara, Karla Cordero
    Bao, Jinsong
    Xie, Lihong
    Loaiza, Katerine
    El-hissewy, Ahmad
    Gayin, Joseph
    Sharma, Neerja
    Rajeswari, Sivakami
    Manonmani, Swaminathan
    Rani, N. Shobha
    Kota, Suneetha
    Indrasari, Siti Dewi
    Habibi, Fatemeh
    Hosseini, Maryam
    Tavasoli, Fatemeh
    Suzuki, Keitaro
    Umemoto, Takayuki
    Boualaphanh, Chanthkone
    Lee, Huei Hong
    Hung, Yiu Pang
    Ramli, Asfaliza
    Aung, Pa Pa
    Ahmad, Rauf
    Wattoo, Javed Iqbal
    Bandonill, Evelyn
    Romero, Marissa
    Brites, Carla Moita
    Hafeel, Roshni
    Lur, Huu-Sheng
    Cheaupun, Kunya
    Jongdee, Supanee
    Blanco, Pedro
    Bryant, Rolfe
    Nguyen Thi Lang
    Hall, Robert D.
    Fitzgerald, Melissa
    [J]. PLOS ONE, 2014, 9 (01):
  • [2] Genetic and Molecular Factors Determining Grain Weight in Rice
    Chen, Ke
    Lyskowski, Andrzej
    Jaremko, Lukasz
    Jaremko, Mariusz
    [J]. FRONTIERS IN PLANT SCIENCE, 2021, 12
  • [3] Chen N., 1997, Chin J Rice Sci, V2, P70, DOI [10.16819/j.1001-7216.1997.02.002, DOI 10.16819/J.1001-7216.1997.02.002]
  • [4] GS3, a major QTL for grain length and weight and minor QTL for grain width and thickness in rice, encodes a putative transmembrane protein
    Fan, CH
    Xing, YZ
    Mao, HL
    Lu, TT
    Han, B
    Xu, CG
    Li, XH
    Zhang, QF
    [J]. THEORETICAL AND APPLIED GENETICS, 2006, 112 (06) : 1164 - 1171
  • [5] A causal C-A mutation in the second exon of GS3 highly associated with rice grain length and validated as a functional marker
    Fan, Chuchuan
    Yu, Sibin
    Wang, Chongrong
    Xing, Yongzhong
    [J]. THEORETICAL AND APPLIED GENETICS, 2009, 118 (03) : 465 - 472
  • [6] The additive effects of GS3 and qGL3 on rice grain length regulation revealed by genetic and transcriptome comparisons
    Gao, Xiuying
    Zhang, Xiaojun
    Lan, Hongxia
    Huang, Ji
    Wang, Jianfei
    Zhang, Hongsheng
    [J]. BMC PLANT BIOLOGY, 2015, 15
  • [7] InDel Marker Based Estimation of Multi-Gene Allele Contribution and Genetic Variations for Grain Size and Weight in Rice (Oryza sativa L.)
    Gull, Sadia
    Haider, Zulqarnain
    Gu, Houwen
    Khan, Rana Ahsan Raza
    Miao, Jun
    Tan Wenchen
    Uddin, Saleem
    Ahmad, Irshad
    Liang, Guohua
    [J]. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2019, 20 (19)
  • [8] Selecting the ideotype of improved rice cultivars using multiple regression and multivariate models
    Haghshenas, Hassan
    Soltani, Afshin
    Malidarreh, Abbas Ghanbari
    Norouzi, Hossein Ajam
    Dastan, Salman
    [J]. ARCHIVES OF AGRONOMY AND SOIL SCIENCE, 2020, 66 (08) : 1134 - 1153
  • [9] Additive Effects of QTLs/Genes on Rice Grain Size Traits Revealed by Genetic Comparisons
    He, Lei
    Liang, Wenhua
    Hu, Jiang
    Zhao, Chunfang
    Yao, Shu
    Chen, Tao
    Zhu, Zhen
    Zhao, Qingyong
    Lu, Kai
    Zhao, Ling
    Zhou, Lihui
    Qian, Qian
    Wang, Cailin
    Zhang, Yadong
    [J]. RICE SCIENCE, 2023, 30 (03) : 171 - 175
  • [10] A Rare Allele of GS2 Enhances Grain Size and Grain Yield in Rice
    Hu, Jiang
    Wang, Yuexing
    Fang, Yunxia
    Zeng, Longjun
    Xu, Jie
    Yu, Haiping
    Shi, Zhenyuan
    Pan, Jiangjie
    Zhang, Dong
    Kang, Shujing
    Zhu, Li
    Dong, Guojun
    Guo, Longbiao
    Zeng, Dali
    Zhang, Guangheng
    Xie, Lihong
    Xiong, Guosheng
    Li, Jiayang
    Qian, Qian
    [J]. MOLECULAR PLANT, 2015, 8 (10) : 1455 - 1465