Molecular Breeding

, 39:128 | Cite as

Erect panicle architecture contributes to increased rice production through the improvement of canopy structure

  • Cheng Fei
  • Jiahe Yu
  • Zhengjin Xu
  • Quan XuEmail author


The erect panicle architecture has contributed to the improvement of yield in japonica rice breeding, and recent molecular analysis has revealed the mechanisms involved in individual plant yield increases. However, the population structure is more important in rice production compared with individual plant yield. Our study compared the population canopy structure of a curved panicle variety Sasanishiki (WT) and an erect panicle mutant derived from CRISPR/Cas9 gene editing at the DENSE AND ERECT PANICLE 1 (DEP1) locus. The results showed that more light could reach to the leaves under the panicle in the CRISPR-dep1 population compared with the WT. The canopy of the CRISPR-dep1 population exhibited higher temperature and lower humidity compared with the WT after heading. A subsequent survey showed that the CO2 concentration in the CRISPR-dep1 population was significantly lower than that in the WT population from full heading to 15 days after heading. Moreover, the increase of biomass in the CRISPR-dep1 population was greater than that in the WT. We noticed that the CRISPR-dep1 mutant could achieve higher yield under low fertilization application compared with the WT under high fertilizer application through increased transplant density. These traits could contribute to an agricultural sustainable development strategy. The quality investigation showed that the dep1 allele increased the yield along with imposing a penalty on grain quality. Our study not only elucidated the mechanism of yield improvement in an erect panicle architecture variety from the perspective of population structure optimization but also provides a theoretical basis for supporting cultivation systems with the erect panicle architecture.


Rice Canopy structure Erect panicle Yield Grain quality 


Funding information

The National Natural Science Foundation of China (U1708231) supported this study.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no competing interests.

Supplementary material

11032_2019_1037_MOESM1_ESM.pptx (178 kb)
ESM 1 Fig. S1 The pedigree of Sasanishiki. Fig. S2 The light penetration of canopy in 2017. (a) The light penetration from canopy to 40 cm from the canopy in DEP1 at full heading stage. (b) The light penetration from canopy to 40 cm from the canopy in CRISPR-dep1 at full heading stage. (c) The light penetration from canopy to 40 cm from the canopy in DEP1 at full ripeness stage. (d) The light penetration from canopy to 40 cm from the canopy in CRISPR-dep1at full ripeness stage. Fig. S3 The temperature and humidity of canopy in 2017. (a) The canopy temperature in the DEP1 and CRISPR-dep1populations at full heading stage. (b) The canopy temperature in the DEP1 and CRISPR-dep1populations at full ripeness stage. (c) The canopy humidity in the DEP1 and CRISPR-dep1populations at full heading stage. (d) The canopy humidity in the DEP1 and CRISPR-dep1populations at full ripeness stage. (PPTX 177 kb)


  1. Huang X, Qian Q, Zhengbin L, Hongying S, Shuyuan H, Da L, Guangmin X, Chengcai C, Jiayang L, Xiangdong F (2009) Natural variation at the DEP1 locus enhances grain yield in rice. Nat Genet 41(4):494–497CrossRefGoogle Scholar
  2. Islam MS, Morison JIL (1992) Influence of solar radiation and temperature on irrigated rice grain yield in Bangladesh. Field Crop Res 30(1–2):13–28CrossRefGoogle Scholar
  3. Khush GS (1999) Green revolution: preparing for the 21st century. Genome 42(4):646–655CrossRefGoogle Scholar
  4. Li M, Xiaoxia L, Zejiao Z, Pingzhi W, Maichun F, Xiaoping P, Qiupeng L, Wanbin L, Guojiang W, Hongqing L (2016) Reassessment of the four yield-related genes Gn1a, DEP1, GS3, and IPA1 in rice using a CRISPR/Cas9 system. Front Plant Sci 7Google Scholar
  5. Li X, Tao X, Miao J, Yang Z, Gu M, Liang G, Zhou Y (2019) Evaluation of differential qPE9-1/DEP1 protein domains in rice grain length and weight variation. Rice 12(1):5CrossRefGoogle Scholar
  6. Li X, Wu L, Wang J, Sun J, Xia X, Geng X, Wang X, Xu Z, Xu Q (2018) Genome sequencing of rice subspecies and genetic analysis of recombinant lines reveals regional yield- and quality-associated loci. BMC Biol 16(1):102CrossRefGoogle Scholar
  7. Ma X, Zhang Q, Zhu Q, Liu W, Chen Y, Qiu R, Wang B, Yang Z, Li H, Lin Y (2015) A robust CRISPR/Cas9 system for convenient, high-efficiency multiplex genome editing in monocot and dicot plants. Mol Plant 8(8):1274–1284CrossRefGoogle Scholar
  8. Peng J, Richards Donald E, Hartley Nigel M, Murphy George P, Devos Katrien M, Flintham John E, James B, Fish Leslie J, Worland Anthony J, Fatima P (1999a) Green revolution’genes encode mutant gibberellin response modulators. Nature 400(6741):256–261CrossRefGoogle Scholar
  9. Peng S, Cassman Kenneth G, Virmani SS, Sheehy J, Khush GS (1999b) Yield potential trends of tropical rice since the release of IR8 and the challenge of increasing rice yield potential.Google Scholar
  10. Peng S, Jianliang H, Sheehy John E, Laza Rebecca C, Visperas Romeo M, Xuhua Z, Centeno Grace S, Khush Gurdev S, Cassman Kenneth G (2004) Rice yields decline with higher night temperature from global warming. Proc Natl Acad Sci U S A 101(27):9971CrossRefGoogle Scholar
  11. Peng S, Khush Gurdev S, Parminder V, Qiyuan T, Yingbin Z (2008) Progress in ideotype breeding to increase rice yield potential. Field Crop Res 108(1):32–38CrossRefGoogle Scholar
  12. Qian Q, Longbiao G, Smith Steven M, Jiayang L (2016) Breeding high-yield superior-quality hybrid super-rice by rational design. National Science Review, p nww006Google Scholar
  13. Shan Q, Wang Y, Li J, Zhang Y, Chen K, Liang Z, Zhang K, Liu J, Xi JJ, Qiu JL (2013) Targeted genome modification of crop plants using a CRISPR-Cas system. Nat Biotechnol 31(8):686–688CrossRefGoogle Scholar
  14. Shen L, Yufeng H, Yaping F, Jian L, Qing L, Xiaozhen J, Gaowei X, Junjie W, Xingchun W, Changjie Y (2017) Rapid generation of genetic diversity by multiplex CRISPR/Cas9 genome editing in rice. Sci China Life Sci 60(5):506–515CrossRefGoogle Scholar
  15. Sun S, Lei W, Hailiang M, Lin S, Xianghua L, Jinghua X, Yidan O, Qifa Z (2018) A G-protein pathway determines grain size in rice. Nat Commun 9(1):851CrossRefGoogle Scholar
  16. Virmani SS, Aquino RC, Khush GS (1982) Heterosis breeding in rice (Oryza sativa L.). Theor Appl Genet 63(4):373–380CrossRefGoogle Scholar
  17. Wang J, Tetsuya N, Shuqian C, Wenfu C, Hiroki S, Takuji T, Yutaka O, Zhenjin X, Takatoshi T (2009) Identification and characterization of the erect-pose panicle gene EP conferring high grain yield in rice (Oryza sativa L.). Theor Appl Genet 119(1):85–91CrossRefGoogle Scholar
  18. Wang Y, Lizhao G, Menglong Y, Juan W, Chen J, Min L, Kun Y, Ya Z, Huaibing J, Eric W (2017) Deletion of a target gene in Indica rice via CRISPR/Cas9. Plant Cell Rep 36(8):1–11CrossRefGoogle Scholar
  19. Xu H, Zhao M, Zhang Q, Xu Z, Xu Q (2016a) The dense and erect panicle 1 (DEP1) gene offering the potential in the breeding of high-yielding rice. Breed Sci 66(5):659–667CrossRefGoogle Scholar
  20. Xu Q, Mingzhu Z, Kun W, Xiangdong F, Qian L (2016b) Emerging insights into heterotrimeric G protein signaling in plants. Journal of Genetics and GenomicsGoogle Scholar
  21. Yoshida S, Parao FT (1976) Climatic influence on yield and yield components of lowland rice in the tropics. Climate & RiceGoogle Scholar
  22. Yuan LP (1998a) Hybrid rice breeding in China. Advances in Hybrid Rice Technology. Philippines, International Rice Research Institute, pp 27–33Google Scholar
  23. Yuan L (1998b) Hybrid rice breeding for super high yield. 21st century: 10Google Scholar

Copyright information

© Springer Nature B.V. 2019

Authors and Affiliations

  1. 1.Rice Research Institute of Shenyang Agricultural UniversityShenyangChina

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