Evidence map›Paper›PMID 42850239›Full record

ArticleNature communications2026

Natural variation in GmRVE4d facilitates soybean latitudinal adaptation by regulating GmPRR5a-dependent flowering and maturity.

Baiquan Sun, Tingting Wu, Bingjun Jiang, Xuegang Sun, Hongchang Jia, Mahmoud Naser, Maoxiang Yang, Xiangyu Yao, Yanhui Sun, Qimeng Li and 11 more

Abstract read
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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

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.

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

21 authors.

Baiquan Sun *The State Key Laboratory of Crop Gene Resources and Breeding, Ministry of Agriculture and Rural Affairs Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.ORCID http://orcid.org/0009-0008-0929-788X
Tingting Wu *The State Key Laboratory of Crop Gene Resources and Breeding, Ministry of Agriculture and Rural Affairs Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
Bingjun Jiang *The State Key Laboratory of Crop Gene Resources and Breeding, Ministry of Agriculture and Rural Affairs Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
Xuegang SunThe State Key Laboratory of Crop Gene Resources and Breeding, Ministry of Agriculture and Rural Affairs Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
Hongchang JiaHeihe Branch of Heilongjiang Academy of Agricultural Sciences, Heihe, China.
Mahmoud NaserThe State Key Laboratory of Crop Gene Resources and Breeding, Ministry of Agriculture and Rural Affairs Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
Maoxiang YangThe State Key Laboratory of Crop Gene Resources and Breeding, Ministry of Agriculture and Rural Affairs Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
Xiangyu YaoThe State Key Laboratory of Crop Gene Resources and Breeding, Ministry of Agriculture and Rural Affairs Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
Yanhui SunThe State Key Laboratory of Crop Gene Resources and Breeding, Ministry of Agriculture and Rural Affairs Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
Qimeng LiThe State Key Laboratory of Crop Gene Resources and Breeding, Ministry of Agriculture and Rural Affairs Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
Peiguo WangThe State Key Laboratory of Crop Gene Resources and Breeding, Ministry of Agriculture and Rural Affairs Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
Liwei JiangThe State Key Laboratory of Crop Gene Resources and Breeding, Ministry of Agriculture and Rural Affairs Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
Shibo SunThe State Key Laboratory of Crop Gene Resources and Breeding, Ministry of Agriculture and Rural Affairs Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
Chao QinThe State Key Laboratory of Crop Gene Resources and Breeding, Ministry of Agriculture and Rural Affairs Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
Shan YuanThe State Key Laboratory of Crop Gene Resources and Breeding, Ministry of Agriculture and Rural Affairs Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
Kunhui HeThe State Key Laboratory of Crop Gene Resources and Breeding, Ministry of Agriculture and Rural Affairs Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
Wensheng HouThe State Key Laboratory of Crop Gene Resources and Breeding, Ministry of Agriculture and Rural Affairs Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
Cunxiang WuThe State Key Laboratory of Crop Gene Resources and Breeding, Ministry of Agriculture and Rural Affairs Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
Huihui LiThe State Key Laboratory of Crop Gene Resources and Breeding, Ministry of Agriculture and Rural Affairs Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China. lihuihui@caas.cn.ORCID http://orcid.org/0000-0002-9117-5011
Shi SunThe State Key Laboratory of Crop Gene Resources and Breeding, Ministry of Agriculture and Rural Affairs Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China. sunshi@caas.cn.
Tianfu HanThe State Key Laboratory of Crop Gene Resources and Breeding, Ministry of Agriculture and Rural Affairs Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China. hantianfu@caas.cn.

Funding

Hainan Provincial Department of Science and Technology (Department of Science and Technology of Hainan Province) BH424090Hainan Provincial Department of Science and Technology (Department of Science and Technology of Hainan Province) ZDYF2025GXJS150Ministry of Science and Technology of the People's Republic of China (Chinese Ministry of Science and Technology) 2023YFD1201300
6 · The paper itself

Abstract

Timely flowering and maturity are crucial for plant reproduction and environmental adaptation. Light-dark cycle-associated regulatory networks integrate photoperiodic cues with intrinsic developmental programs and play pivotal roles in flowering, maturity and environmental adaptation. Soybean is a short-day crop with strong photoperiod responsiveness; however, the molecular mechanisms by which these networks mediate soybean adaptation to diverse environments remain largely elusive. Here, we combine genome-wide association analysis with deep learning-based assessment of soybean maturity variation and identify GmRVE4d, a homolog of the Arabidopsis clock-associated REVEILLE, as a maturity-associated locus across both field environments. Genetic analysis reveals evidence of domestication-related artificial selection at GmRVE4d and identifies the late-maturing haplotype GmRVE4d

Indexed as

Adaptation, PhysiologicalFlowersGlycine maxPlant ProteinsArabidopsisArabidopsis ProteinsGene Expression Regulation, PlantGenetic VariationGenome-Wide Association StudyHaplotypesPhotoperiodPromoter Regions, GeneticArabidopsis ProteinsPlant Proteins

Identifiers

PMID42850239

What Socratic holds

Textmetadata
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Registered trials

None linked

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 Socratic graph.