Evidence map›Paper›PMID 28087653›Full record

ArticleJournal of experimental botany2017

Identification of regulatory networks and hub genes controlling soybean seed set and size using RNA sequencing analysis.

Juan Du, Shoudong Wang, Cunman He, Bin Zhou, Yong-Ling Ruan, Huixia Shou

Open access · bronzeAbstract read
In one paragraph

Article in Journal of experimental botany, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 99 papers.

0numbers the graph read from it
0cells of the map it votes in
99citing papers in PubMed
18.2field-weighted citation impact, top 1% of its field
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

99 citing papers in PubMed, 151 citations in OpenAlex.

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  6. Natural variation of theFrontiers in plant science · 2026
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  10. The miR172a-ERF416/413 module regulates soybean seed traits.Journal of integrative plant biology · 2025
    Article
  11. GmCDC7 is involved in coordinating seed size and quality in soybean.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
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39 more citing papers are in PubMed but not listed here.

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

6 authors at 4 institutions in 2 countries.

Juan DuState Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310058, China.
Shoudong WangState Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310058, China.
Cunman HeState Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310058, China.
Bin ZhouInstitute of Crop Science, Anhui Academy of Agricultural Sciences, Hefei, 230031, China.
Yong-Ling RuanSchool of Environmental and Life Sciences, The University of Newcastle, Callaghan, NSW 2308, Australia.
Huixia ShouState Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310058, China.
State Key Laboratory of Plant Physiology and BiochemistryAnhui Academy of Agricultural Sciences · CNUniversity of Newcastle Australia · AUZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To understand the gene expression networks controlling soybean seed set and size, transcriptome analyses were performed in three early seed developmental stages, using two genotypes with contrasting seed size. The two-dimensional data set provides a comprehensive and systems-level view on dynamic gene expression networks underpinning soybean seed set and subsequent development. Using pairwise comparisons and weighted gene coexpression network analyses, we identified modules of coexpressed genes and hub genes for each module. Of particular importance are the discoveries of specific modules for the large seed size variety and for seed developmental stages. A large number of candidate regulators for seed size, including those involved in hormonal signaling pathways and transcription factors, were transiently and specifically induced in the early developmental stages. The soybean homologs of a brassinosteroid signaling receptor kinase, a brassinosteroid-signaling kinase, were identified as hub genes operating in the seed coat network in the early seed maturation stage. Overexpression of a candidate seed size regulatory gene, GmCYP78A5, in transgenic soybean resulted in increased seed size and seed weight. Together, these analyses identified a large number of potential key regulators controlling soybean seed set, seed size, and, consequently, yield potential, thereby providing new insights into the molecular networks underlying soybean seed development.

Indexed as

Cell ProliferationCrops, AgriculturalFabaceaeGene Expression ProfilingGene Expression Regulation, DevelopmentalGene Expression Regulation, PlantGlycine maxSeedsSeed developmentseed numberseed sizesoybeantranscriptomic analysis.

Identifiers

PMID28087653
PMCPMC5429000
OpenAlexW2577688161

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.