Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
0numbers the graph read from it
0cells of the map it votes in
5citing 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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
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
12 authors.
Jie WuDivision of Life Sciences and Medicine; Division of Molecular & Cell Biophysics, Hefei National Science Center for Interdisciplinary Sciences at the Microscale; MOE Key Laboratory for Membraneless Organelles and Cellular Dynamics; University of Science and Technology of China, The Innovation Academy of Seed Design, Chinese Academy of Sciences, Hefei, China. wujie199104@163.com.ORCID http://orcid.org/0000-0002-7198-5797
Ying SongDivision of Life Sciences and Medicine; Division of Molecular & Cell Biophysics, Hefei National Science Center for Interdisciplinary Sciences at the Microscale; MOE Key Laboratory for Membraneless Organelles and Cellular Dynamics; University of Science and Technology of China, The Innovation Academy of Seed Design, Chinese Academy of Sciences, Hefei, China.
Guangyu WanDivision of Life Sciences and Medicine; Division of Molecular & Cell Biophysics, Hefei National Science Center for Interdisciplinary Sciences at the Microscale; MOE Key Laboratory for Membraneless Organelles and Cellular Dynamics; University of Science and Technology of China, The Innovation Academy of Seed Design, Chinese Academy of Sciences, Hefei, China.
Liangqi SunDivision of Life Sciences and Medicine; Division of Molecular & Cell Biophysics, Hefei National Science Center for Interdisciplinary Sciences at the Microscale; MOE Key Laboratory for Membraneless Organelles and Cellular Dynamics; University of Science and Technology of China, The Innovation Academy of Seed Design, Chinese Academy of Sciences, Hefei, China.ORCID http://orcid.org/0000-0001-6678-5929
Jingxian WangDivision of Life Sciences and Medicine; Division of Molecular & Cell Biophysics, Hefei National Science Center for Interdisciplinary Sciences at the Microscale; MOE Key Laboratory for Membraneless Organelles and Cellular Dynamics; University of Science and Technology of China, The Innovation Academy of Seed Design, Chinese Academy of Sciences, Hefei, China.
Hongkai WuZhejiang Agricultural and Forestry University, Lingan, Zhejiang, China.
Shimei WangRice Research Institute, Anhui Academy of Agricultural Sciences, Hefei, China.
Chuanzao MaoState Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, Hangzhou, China.ORCID http://orcid.org/0000-0001-5126-2180
Peng QinRice Research Institute, State Key Laboratory of Hybrid Rice, Sichuan Agricultural University, Chengdu, China.
Shigui LiRice Research Institute, State Key Laboratory of Hybrid Rice, Sichuan Agricultural University, Chengdu, China.
Chengcai ChuGuangdong Basic Research Center of Excellence for Precise Breeding of Future Crops, and Guangdong Laboratory for Lingnan Modern Agriculture, College of Agriculture, South China Agricultural University, Guangzhou, China.ORCID http://orcid.org/0000-0001-8097-6115
Chengbin XiangDivision of Life Sciences and Medicine; Division of Molecular & Cell Biophysics, Hefei National Science Center for Interdisciplinary Sciences at the Microscale; MOE Key Laboratory for Membraneless Organelles and Cellular Dynamics; University of Science and Technology of China, The Innovation Academy of Seed Design, Chinese Academy of Sciences, Hefei, China. xiangcb@ustc.edu.cn.ORCID http://orcid.org/0000-0002-7152-1458
Funding
National Natural Science Foundation of China (National Science Foundation of China) 32100208National Natural Science Foundation of China (National Science Foundation of China) 32321001
6 · The paper itself
Abstract
Nitrogen use efficiency (NUE), a critical determinant of crop productivity and agricultural sustainability, varies significantly between indica and japonica subspecies. Here, we identify three coding-region SNPs in OsNLP4 underlying this divergence. These SNPs enhance the binding affinity of OsNLP4
Indexed as
NitrogenOryzaPlant ProteinsAllelesArabidopsisBiomassGene Expression Regulation, PlantIronPlants, Genetically ModifiedPolymorphism, Single NucleotideIronNitrogenPlant Proteins
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.
Nature variations of OsNLP4 responsible for nitrogen use efficiency divergence in the two rice subspecies. · full record | OpenQuestion