Evidence map›Paper›PMID 40808470›Full record

ArticleJournal of integrative plant biology2025

The miR172a-ERF416/413 module regulates soybean seed traits.

Meng Jin, Jia-Qi Han, Lu-Yao Zhang, Zhi-Hao Jiang, Yue Liu, Jun-Jie Wei, Ling-Yi Zheng, Shang-Shang Xiong, Yang Hu, Tong Cheng and 15 more

Erratum issuedAbstract read
In one paragraph

Article in Journal of integrative plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Fine mapping and candidate gene analysis of a major QTL qHSW_11 for seed weight in soybean.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  4. The miR172a-ERF416/413 module regulates soybean seed traits.Journal of integrative plant biology · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

25 authors.

Meng JinState Key Lab of Seed Innovation, Institute of Genetics and Developmental Biology, the Chinese Academy of Sciences, Beijing, 100101, China.ORCID https://orcid.org/0009-0009-4762-1940
Jia-Qi HanState Key Lab of Seed Innovation, Institute of Genetics and Developmental Biology, the Chinese Academy of Sciences, Beijing, 100101, China.ORCID https://orcid.org/0000-0002-4609-9953
Lu-Yao ZhangState Key Lab of Seed Innovation, Institute of Genetics and Developmental Biology, the Chinese Academy of Sciences, Beijing, 100101, China.ORCID https://orcid.org/0009-0003-8542-5162
Zhi-Hao JiangState Key Lab of Seed Innovation, Institute of Genetics and Developmental Biology, the Chinese Academy of Sciences, Beijing, 100101, China.ORCID https://orcid.org/0009-0001-8609-0689
Yue LiuState Key Lab of Seed Innovation, Institute of Genetics and Developmental Biology, the Chinese Academy of Sciences, Beijing, 100101, China.ORCID https://orcid.org/0009-0004-9476-8885
Jun-Jie WeiState Key Lab of Seed Innovation, Institute of Genetics and Developmental Biology, the Chinese Academy of Sciences, Beijing, 100101, China.ORCID https://orcid.org/0009-0002-4764-5482
Ling-Yi ZhengState Key Lab of Seed Innovation, Institute of Genetics and Developmental Biology, the Chinese Academy of Sciences, Beijing, 100101, China.ORCID https://orcid.org/0009-0009-1801-659X
Shang-Shang XiongState Key Lab of Seed Innovation, Institute of Genetics and Developmental Biology, the Chinese Academy of Sciences, Beijing, 100101, China.ORCID https://orcid.org/0000-0002-4288-8410
Yang HuState Key Lab of Seed Innovation, Institute of Genetics and Developmental Biology, the Chinese Academy of Sciences, Beijing, 100101, China.ORCID https://orcid.org/0000-0001-7826-045X
Tong ChengState Key Lab of Seed Innovation, Institute of Genetics and Developmental Biology, the Chinese Academy of Sciences, Beijing, 100101, China.ORCID https://orcid.org/0009-0001-9705-6283
Xiao-Hua BianState Key Lab of Seed Innovation, Institute of Genetics and Developmental Biology, the Chinese Academy of Sciences, Beijing, 100101, China.ORCID https://orcid.org/0009-0007-0399-1355
Chun-Mei WuState Key Lab of Seed Innovation, Institute of Genetics and Developmental Biology, the Chinese Academy of Sciences, Beijing, 100101, China.ORCID https://orcid.org/0009-0002-6228-6668
Wei WeiState Key Lab of Seed Innovation, Institute of Genetics and Developmental Biology, the Chinese Academy of Sciences, Beijing, 100101, China.ORCID https://orcid.org/0000-0002-9471-9694
Yi-Hua HuangState Key Lab of Seed Innovation, Institute of Genetics and Developmental Biology, the Chinese Academy of Sciences, Beijing, 100101, China.ORCID https://orcid.org/0000-0003-2774-4547
Cui-Cui YinState Key Lab of Seed Innovation, Institute of Genetics and Developmental Biology, the Chinese Academy of Sciences, Beijing, 100101, China.ORCID https://orcid.org/0000-0001-5691-6366
Feng GaoQilu Zhongke Academy of Modern Microbiology Technology, Jinan, 250018, China.
Wei LiCrop Tillage and Cultivation Institute, Heilongjiang Academy of Agricultural Sciences, Harbin, 150086, China.
Ying-Dong BiCrop Tillage and Cultivation Institute, Heilongjiang Academy of Agricultural Sciences, Harbin, 150086, China.
Yong-Cai LaiCrop Tillage and Cultivation Institute, Heilongjiang Academy of Agricultural Sciences, Harbin, 150086, China.
Bin ZhouCrop Research Institute of Anhui Academy of Agricultural Sciences, Hefei, 230031, China.ORCID https://orcid.org/0000-0001-8317-779X
De-Yue YuNational Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, 210095, China.ORCID https://orcid.org/0000-0001-7263-2750
Shou-Yi ChenState Key Lab of Seed Innovation, Institute of Genetics and Developmental Biology, the Chinese Academy of Sciences, Beijing, 100101, China.ORCID https://orcid.org/0000-0002-3557-4245
Jian-Jun TaoState Key Lab of Seed Innovation, Institute of Genetics and Developmental Biology, the Chinese Academy of Sciences, Beijing, 100101, China.ORCID https://orcid.org/0000-0002-2828-6835
Wan-Ke ZhangState Key Lab of Seed Innovation, Institute of Genetics and Developmental Biology, the Chinese Academy of Sciences, Beijing, 100101, China.ORCID https://orcid.org/0000-0003-3475-2852
Jin-Song ZhangState Key Lab of Seed Innovation, Institute of Genetics and Developmental Biology, the Chinese Academy of Sciences, Beijing, 100101, China.ORCID https://orcid.org/0000-0003-2165-3468

Funding

Biological Breeding-National Science and Technology Major Project 2024ZD04078National Key Research and Development Program of China 2021YFF1000104National Key Research and Development Program of China 2023YFD1200602National Natural Science Foundation of China 32090062National Natural Science Foundation of China 32090063National Natural Science Foundation of China 32171930
6 · The paper itself

Abstract

Soybean (Glycine max) provides vegetable oils and proteins for human consumption. Its production depends on seeds and other production-related agronomic traits. How the seed traits are regulated in soybean remains largely unclear. In this study, we identified a miR172a-ERF416/413 module for the regulation of seed traits. The miR172a can cleave the targets ERF416 and ERF413 to affect the downstream gene expression for the reduction of soybean seed size and weight. Both the MIR172a-overexpressing transgenic soybean plants and the erf416/413 mutants produced smaller seeds than the control. Consistently, the ERF416-overexpressing transgenic soybean plants generated larger seeds. ERF416 and ERF413 were directly targeted to the promoter of GmKIX8-1 and GmSWEET10a to regulate their gene expression for seed size/weight control. Interestingly, the erf416/413 mutants showed higher seed yield per plant and higher total seed fatty acid (FA) content, whereas the MIR172a-transgenic soybean had lower total seed FA content compared with the control cultivar, suggesting that miR172a and ERF416/413 may function in FA accumulation through different pathways. Haplotypes of the ERF416 promoter region were further analyzed and Hap1 was correlated with higher gene expression and higher seed weight, while Hap3 was correlated with higher total seed lipid content. Our study revealed a new module for seed trait control. Manipulation of such alleles should facilitate breeding for high-oil and high-yield soybean cultivars.

Indexed as

Glycine maxMicroRNAsQuantitative Trait, HeritableSeedsFatty AcidsGene Expression Regulation, PlantHaplotypesPlant ProteinsPlants, Genetically ModifiedPromoter Regions, GeneticFatty AcidsMicroRNAsPlant ProteinsERF416/ERF413 transcription factorsfatty acidsmiR172aseed size/weightsoybean

Identifiers

PMID40808470
PMCPMC12590345

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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 OpenQuestion graph.