Author
Listed:
- Zhenyu Gao
(State Key Laboratory of Rice Biology, China National Rice Research Institute, Chinese Academy of Agricultural Sciences)
- Yufeng Wang
(Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences)
- Guang Chen
(State Key Laboratory of Rice Biology, China National Rice Research Institute, Chinese Academy of Agricultural Sciences)
- Anpeng Zhang
(State Key Laboratory of Rice Biology, China National Rice Research Institute, Chinese Academy of Agricultural Sciences)
- Shenglong Yang
(State Key Laboratory of Rice Biology, China National Rice Research Institute, Chinese Academy of Agricultural Sciences)
- Lianguang Shang
(Lingnan Laboratory of Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences)
- Danying Wang
(State Key Laboratory of Rice Biology, China National Rice Research Institute, Chinese Academy of Agricultural Sciences)
- Banpu Ruan
(State Key Laboratory of Rice Biology, China National Rice Research Institute, Chinese Academy of Agricultural Sciences)
- Chaolei Liu
(State Key Laboratory of Rice Biology, China National Rice Research Institute, Chinese Academy of Agricultural Sciences)
- Hongzhen Jiang
(State Key Laboratory of Rice Biology, China National Rice Research Institute, Chinese Academy of Agricultural Sciences)
- Guojun Dong
(State Key Laboratory of Rice Biology, China National Rice Research Institute, Chinese Academy of Agricultural Sciences)
- Li Zhu
(State Key Laboratory of Rice Biology, China National Rice Research Institute, Chinese Academy of Agricultural Sciences)
- Jiang Hu
(State Key Laboratory of Rice Biology, China National Rice Research Institute, Chinese Academy of Agricultural Sciences)
- Guangheng Zhang
(State Key Laboratory of Rice Biology, China National Rice Research Institute, Chinese Academy of Agricultural Sciences)
- Dali Zeng
(State Key Laboratory of Rice Biology, China National Rice Research Institute, Chinese Academy of Agricultural Sciences)
- Longbiao Guo
(State Key Laboratory of Rice Biology, China National Rice Research Institute, Chinese Academy of Agricultural Sciences)
- Guohua Xu
(Nanjing Agricultural University)
- Sheng Teng
(Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences)
- Nicholas P. Harberd
(University of Oxford)
- Qian Qian
(State Key Laboratory of Rice Biology, China National Rice Research Institute, Chinese Academy of Agricultural Sciences
Lingnan Laboratory of Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences)
Abstract
The indica and japonica rice (Oryza sativa) subspecies differ in nitrate (NO3−) assimilation capacity and nitrogen (N) use efficiency (NUE). Here, we show that a major component of this difference is conferred by allelic variation at OsNR2, a gene encoding a NADH/NADPH-dependent NO3− reductase (NR). Selection-driven allelic divergence has resulted in variant indica and japonica OsNR2 alleles encoding structurally distinct OsNR2 proteins, with indica OsNR2 exhibiting greater NR activity. Indica OsNR2 also promotes NO3− uptake via feed-forward interaction with OsNRT1.1B, a gene encoding a NO3− uptake transporter. These properties enable indica OsNR2 to confer increased effective tiller number, grain yield and NUE on japonica rice, effects enhanced by interaction with an additionally introgressed indica OsNRT1.1B allele. In consequence, indica OsNR2 provides an important breeding resource for the sustainable increases in japonica rice yields necessary for future global food security.
Suggested Citation
Zhenyu Gao & Yufeng Wang & Guang Chen & Anpeng Zhang & Shenglong Yang & Lianguang Shang & Danying Wang & Banpu Ruan & Chaolei Liu & Hongzhen Jiang & Guojun Dong & Li Zhu & Jiang Hu & Guangheng Zhang &, 2019.
"The indica nitrate reductase gene OsNR2 allele enhances rice yield potential and nitrogen use efficiency,"
Nature Communications, Nature, vol. 10(1), pages 1-10, December.
Handle:
RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-13110-8
DOI: 10.1038/s41467-019-13110-8
Download full text from publisher
Citations
Citations are extracted by the
CitEc Project, subscribe to its
RSS feed for this item.
Cited by:
- Shilei Liu & Wenli Zou & Xiang Lu & Jianmin Bian & Haohua He & Jingguang Chen & Guoyou Ye, 2021.
"Genome-Wide Association Study Using a Multiparent Advanced Generation Intercross (MAGIC) Population Identified QTLs and Candidate Genes to Predict Shoot and Grain Zinc Contents in Rice,"
Agriculture, MDPI, vol. 11(1), pages 1-14, January.
- Nkulu Rolly Kabange & So-Yeon Park & Dongjin Shin & So-Myeong Lee & Su-Min Jo & Youngho Kwon & Jin-Kyung Cha & You-Chun Song & Jong-Min Ko & Jong-Hee Lee, 2020.
"Identification of a Novel QTL for Chlorate Resistance in Rice ( Oryza sativa L.),"
Agriculture, MDPI, vol. 10(8), pages 1-16, August.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-13110-8. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.