Evidence map›Paper›PMID 42393083›Full record

ArticleNature communications2026

Structure-guided reprogramming of DELLA turnover for a sustainable Green Revolution in rice.

Chongyu Xue, Shuang Zhang, Lihao Wan, Zhihui Zhang, Chenchen Zhang, Huangqi Chen, Kai Peng, Yujie Wang, Jie Hu, Xiuhua Gao and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Chongyu Xue *National Key Lab of Agricultural Microbiology, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China.
Shuang Zhang *College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China.
Lihao Wan *National Key Lab of Agricultural Microbiology, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China.
Zhihui Zhang *Shenzhen Key Laboratory of Plant Genetic Engineering and Molecular Design, Institute of Plant and Food Science and Institute for Biological Electron Microscopy, Department of Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China.ORCID http://orcid.org/0000-0003-0973-9189
Chenchen ZhangNational Key Lab of Agricultural Microbiology, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China.
Huangqi ChenNational Key Lab of Agricultural Microbiology, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China.
Kai PengNational Key Lab of Agricultural Microbiology, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China.
Yujie WangNational Key Lab of Agricultural Microbiology, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China.
Jie HuState Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China.
Xiuhua GaoState Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China.
Jiamu DuShenzhen Key Laboratory of Plant Genetic Engineering and Molecular Design, Institute of Plant and Food Science and Institute for Biological Electron Microscopy, Department of Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China.ORCID http://orcid.org/0000-0002-1337-0786
Xiangdong FuState Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China. xdfu@genetics.ac.cn.ORCID http://orcid.org/0000-0001-9285-7543
Shutong XuNational Key Lab of Agricultural Microbiology, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China. xushutong@mail.hzau.edu.cn.ORCID http://orcid.org/0000-0002-9894-1735

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Green Revolution of the 1960s significantly boosted cereal yields but incurred substantial environmental costs due to overreliance on chemical fertilizer inputs; thus, future agricultural sustainability demands improved nitrogen-use efficiency (NUE). The semi-dwarf Green Revolution varieties (GRVs) characterized by elevated DELLA protein accumulation introduce a fundamental trade-off, increasing lodging resistance and harvest index at the expense of diminished biomass and grain productivity per plant, and require high nitrogen fertilizer inputs to achieve maximum yield potential under high planting density. Here we show that gibberellin (GA)-bound GA-INSENSITIVE DWARF1 (GID1) induces multi-level conformational changes in DELLA protein, affecting its N-terminal DELLA and VHYN/DPT/S and C-terminal VVLV and SAW motifs, thereby facilitating recognition by the SKP1-CULLIN-F-box (SCF) ubiquitin ligase complex and subsequent proteasomal degradation. We also performed structure-guided engineering of the rice SLENDER RICE1 (SLR1)-GID1-GID2 complex and created a series of dwarf alleles exhibiting a continuous spectrum of plant heights in elite cultivars. Notably, the dominant alleles slr1

Indexed as

OryzaPlant ProteinsGibberellinsPlants, Genetically ModifiedGibberellinsPlant Proteins

Identifiers

PMID42393083
PMCPMC13470054

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.