Evidence map›Paper›PMID 40877292›Full record

ArticleNature communications2025

Natural allelic variation in SW14 determines seed weight and quality in soybean.

Chunyu Zhang, Weijun Li, Cuirong Tan, Mingkun Huang, Huan Wu, Shu Liu, Hongjie Liu, Xiaoming Li, Yansong Miao, Baohui Liu and 2 more

Abstract read
In one paragraph

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.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Natural variation of theFrontiers in plant science · 2026
    Article
  5. Article
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

12 authors.

Chunyu Zhang *Guangdong Provincial Key Laboratory of Applied Botany & State Key Laboratory of Plant Diversity and Specialty Crops, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, 510650, China. czhang2019@scbg.ac.cn.ORCID http://orcid.org/0000-0003-3877-0724
Weijun Li *Guangdong Provincial Key Laboratory of Applied Botany & State Key Laboratory of Plant Diversity and Specialty Crops, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, 510650, China.
Cuirong Tan *Guangdong Provincial Key Laboratory of Plant Adaptation and Molecular Design, Guangzhou Key Laboratory of Crop Gene Editing, Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, 510006, China.
Mingkun HuangJiangxi Provincial Key Laboratory of Ex Situ Plant Conservation and Utilization, Lushan Botanical Garden, Chinese Academy of Sciences, Jiujiang, 332900, China.ORCID http://orcid.org/0000-0001-9501-1797
Huan WuGuangdong Provincial Key Laboratory of Applied Botany & State Key Laboratory of Plant Diversity and Specialty Crops, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, 510650, China.
Shu LiuGuangdong Provincial Key Laboratory of Applied Botany & State Key Laboratory of Plant Diversity and Specialty Crops, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, 510650, China.
Hongjie LiuGuangdong Provincial Key Laboratory of Applied Botany & State Key Laboratory of Plant Diversity and Specialty Crops, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, 510650, China.
Xiaoming LiGuangdong Provincial Key Laboratory of Applied Botany & State Key Laboratory of Plant Diversity and Specialty Crops, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, 510650, China.
Yansong MiaoSchool of Biological Sciences, Nanyang Technological University, Singapore, 637551, Singapore.ORCID http://orcid.org/0000-0003-1551-7873
Baohui LiuGuangdong Provincial Key Laboratory of Plant Adaptation and Molecular Design, Guangzhou Key Laboratory of Crop Gene Editing, Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, 510006, China.ORCID http://orcid.org/0000-0003-3491-8293
Fanjiang KongGuangdong Provincial Key Laboratory of Plant Adaptation and Molecular Design, Guangzhou Key Laboratory of Crop Gene Editing, Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, 510006, China.ORCID http://orcid.org/0000-0001-7138-1478
Xingliang HouGuangdong Provincial Key Laboratory of Applied Botany & State Key Laboratory of Plant Diversity and Specialty Crops, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, 510650, China. houxl@scib.ac.cn.ORCID http://orcid.org/0000-0002-3964-2372

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Seed weight and oil/protein content are critical agronomic traits that determine soybean yield and quality. However, the key genes controlling these traits and the underlying regulatory mechanisms remain poorly understood. Here, we performed a combination of genome-wide association study and quantitative trait loci (QTL) mapping with seed weight variations, and identified a Nuclear Factor-YA (NF-YA) gene on chromosome 14 that positively regulates seed weight and protein content while negatively regulating oil content without affecting other agronomic traits, designated as Seed Weight 14 (SW14). SW14 physically interacts with GmLEC1a/b, the soybean orthologs of the central regulator of plant seed development, Leafy Cotyledon1 (LEC1), to disrupt the formation of a non-canonical NF-Y complex comprising GmLEC1, GmNF-YC2, and GmbZIP67, thereby inhibiting the GmLEC1-mediated transcriptional activation involved in seed development process. Natural allelic variations in SW14 affect the stability of the SW14 protein, which in turn confers varied seed weight and oil/protein content in soybean. Further analysis demonstrates that the elite SW14

Indexed as

Glycine maxPlant ProteinsSeedsAllelesChromosome MappingGene Expression Regulation, PlantGenetic VariationGenome-Wide Association StudyPhenotypeQuantitative Trait LociPlant Proteins

Identifiers

PMID40877292
PMCPMC12394650

What OpenQuestion holds

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Registered trials

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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.