Literature DB >> 23650998

GS6, a member of the GRAS gene family, negatively regulates grain size in rice.

Lianjun Sun1, Xiaojiao Li, Yongcai Fu, Zuofeng Zhu, Lubin Tan, Fengxia Liu, Xianyou Sun, Xuewen Sun, Chuanqing Sun.   

Abstract

Grain size is an important yield-related trait in rice. Intensive artificial selection for grain size during domestication is evidenced by the larger grains of most of today's cultivars compared with their wild relatives. However, the molecular genetic control of rice grain size is still not well characterized. Here, we report the identification and cloning of Grain Size 6 (GS6), which plays an important role in reducing grain size in rice. A premature stop at the +348 position in the coding sequence (CDS) of GS6 increased grain width and weight significantly. Alignment of the CDS regions of GS6 in 90 rice materials revealed three GS6 alleles. Most japonica varieties (95%) harbor the Type I haplotype, and 62.9% of indica varieties harbor the Type II haplotype. Association analysis revealed that the Type I haplotype tends to increase the width and weight of grains more than either of the Type II or Type III haplotypes. Further investigation of genetic diversity and the evolutionary mechanisms of GS6 showed that the GS6 gene was strongly selected in japonica cultivars. In addition, a "ggc" repeat region identified in the region that encodes the GRAS domain of GS6 played an important historic role in the domestication of grain size in rice. Knowledge of the function of GS6 might aid efforts to elucidate the molecular mechanisms that control grain development and evolution in rice plants, and could facilitate the genetic improvement of rice yield.
© 2013 Institute of Botany, Chinese Academy of Sciences.

Entities:  

Keywords:  Domestication; GS6; Oryza sativa; grain size; haplotype; rice

Mesh:

Substances:

Year:  2013        PMID: 23650998     DOI: 10.1111/jipb.12062

Source DB:  PubMed          Journal:  J Integr Plant Biol        ISSN: 1672-9072            Impact factor:   7.061


  25 in total

Review 1.  Control of grain size in rice.

Authors:  Na Li; Ran Xu; Penggen Duan; Yunhai Li
Journal:  Plant Reprod       Date:  2018-03-10       Impact factor: 3.767

2.  Fine mapping of qGW1, a major QTL for grain weight in sorghum.

Authors:  Lijie Han; Jun Chen; Emma S Mace; Yishan Liu; Mengjiao Zhu; Nana Yuyama; David R Jordan; Hongwei Cai
Journal:  Theor Appl Genet       Date:  2015-06-13       Impact factor: 5.699

3.  Control of Grain Size and Weight by the GSK2-LARGE1/OML4 Pathway in Rice.

Authors:  Jia Lyu; Dekai Wang; Penggen Duan; Yapei Liu; Ke Huang; Dali Zeng; Limin Zhang; Guojun Dong; Yingjie Li; Ran Xu; Baolan Zhang; Xiahe Huang; Na Li; Yingchun Wang; Qian Qian; Yunhai Li
Journal:  Plant Cell       Date:  2020-04-17       Impact factor: 11.277

Review 4.  GRAS transcription factors emerging regulator in plants growth, development, and multiple stresses.

Authors:  Muhammad Waseem; Oswald Nkurikiyimfura; Sylvain Niyitanga; Bello Hassan Jakada; Iffat Shaheen; Mehtab Muhammad Aslam
Journal:  Mol Biol Rep       Date:  2022-06-17       Impact factor: 2.742

5.  Morphological variations of qualitative traits of barley (Hordeum vulgare L.) accessions in Ethiopia.

Authors:  Mihret Yirgu; Mulugeta Kebede; Tileye Feyissa; Berhane Lakew; Aemiro Bezabih Woldeyohannes
Journal:  Heliyon       Date:  2022-10-08

6.  An EMS-induced new sequence variant, TEMS5032, in the coding region of SRS3 gene leads to shorter grain length in rice (Oryza sativa L.).

Authors:  Umakanta Ngangkham; Manoj Nath; Prasad Dokku; S V Amitha Mithra; Srinivasan Ramamurthy; Nagendra K Singh; R P Sharma; Trilochan Mohapatra
Journal:  J Appl Genet       Date:  2018-07-17       Impact factor: 3.240

7.  Fine mapping of a kernel length-related gene with potential value for maize breeding.

Authors:  Dianming Gong; Zengdong Tan; Hailiang Zhao; Zhenyuan Pan; Qin Sun; Fazhan Qiu
Journal:  Theor Appl Genet       Date:  2021-01-18       Impact factor: 5.699

8.  Superior haplotypes towards development of low glycemic index rice with preferred grain and cooking quality.

Authors:  Ramchander Selvaraj; Arun Kumar Singh; Vikas Kumar Singh; Ragavendran Abbai; Sonali Vijay Habde; Uma Maheshwar Singh; Arvind Kumar
Journal:  Sci Rep       Date:  2021-05-12       Impact factor: 4.379

9.  Rapid identification of major QTLs associated with rice grain weight and their utilization.

Authors:  Feifei Xu; Xiao Sun; Yaling Chen; Yan Huang; Chuan Tong; Jinsong Bao
Journal:  PLoS One       Date:  2015-03-27       Impact factor: 3.240

10.  Genome-wide identification, expression analysis, and functional study of the GRAS transcription factor family and its response to abiotic stress in sorghum [Sorghum bicolor (L.) Moench].

Authors:  Yu Fan; Jun Yan; Dili Lai; Hao Yang; Guoxing Xue; Ailing He; Tianrong Guo; Long Chen; Xiao-Bin Cheng; Da-Bing Xiang; Jingjun Ruan; Jianping Cheng
Journal:  BMC Genomics       Date:  2021-07-06       Impact factor: 3.969

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.