Evidence map›Paper›PMID 39695844›Full record

ArticleGenome biology2024

Transcriptional regulatory network reveals key transcription factors for regulating agronomic traits in soybean.

Wu Jiao, Mangmang Wang, Yijian Guan, Wei Guo, Chang Zhang, Yuanchun Wei, Zhenwei Zhao, Hongyu Ma, Longfei Wang, Xinyu Jiang and 3 more

Abstract read
In one paragraph

Article in Genome biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
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  5. Article
  6. Article
  7. Article
  8. Review
  9. aBIOTECH · 2025
    Review
  10. Functional Genomics: From Soybean to Legume.International journal of molecular sciences · 2025
    Review
  11. Article
  12. Article
  13. 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

13 authors.

Wu Jiao *State Key Laboratory of Crop Genetics and Germplasm Enhancement and Utilization, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, No. 1 Weigang, Nanjing, Jiangsu, 210095, China.
Mangmang Wang *State Key Laboratory of Crop Genetics and Germplasm Enhancement and Utilization, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, No. 1 Weigang, Nanjing, Jiangsu, 210095, China.
Yijian Guan *State Key Laboratory of Crop Genetics and Germplasm Enhancement and Utilization, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, No. 1 Weigang, Nanjing, Jiangsu, 210095, China.
Wei Guo *Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, Hubei, 430062, China.
Chang ZhangState Key Laboratory of Crop Genetics and Germplasm Enhancement and Utilization, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, No. 1 Weigang, Nanjing, Jiangsu, 210095, China.
Yuanchun WeiState Key Laboratory of Crop Genetics and Germplasm Enhancement and Utilization, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, No. 1 Weigang, Nanjing, Jiangsu, 210095, China.
Zhenwei ZhaoState Key Laboratory of Crop Genetics and Germplasm Enhancement and Utilization, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, No. 1 Weigang, Nanjing, Jiangsu, 210095, China.
Hongyu MaState Key Laboratory of Crop Genetics and Germplasm Enhancement and Utilization, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, No. 1 Weigang, Nanjing, Jiangsu, 210095, China.
Longfei WangState Key Laboratory of Crop Genetics and Germplasm Enhancement and Utilization, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, No. 1 Weigang, Nanjing, Jiangsu, 210095, China.
Xinyu JiangState Key Laboratory of Crop Genetics and Germplasm Enhancement and Utilization, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, No. 1 Weigang, Nanjing, Jiangsu, 210095, China.
Wenxue YeState Key Laboratory of Crop Genetics and Germplasm Enhancement and Utilization, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, No. 1 Weigang, Nanjing, Jiangsu, 210095, China.
Dong CaoKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, Hubei, 430062, China. caodong@caas.cn.
Qingxin SongState Key Laboratory of Crop Genetics and Germplasm Enhancement and Utilization, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, No. 1 Weigang, Nanjing, Jiangsu, 210095, China. qxsong@njau.edu.cn.

Funding

STI 2030-Major Projects 2023ZD04069
6 · The paper itself

Abstract

backgroundTranscription factors (TFs) bind regulatory genomic regions to orchestrate spatio-temporal expression of target genes. Global dissection of the cistrome is critical for elucidating transcriptional networks underlying complex agronomic traits in crops.

resultsHere, we generate a comprehensive genome-wide binding map for 148 TFs using DNA affinity purification sequencing in soybean. We find TF binding sites (TFBSs) exhibit elevated chromatin accessibility and contain more rare alleles than other genomic regions. Intriguingly, the methylation variations at TFBSs partially contribute to expression bias among whole genome duplication paralogs. Furthermore, we construct a soybean gene regulatory network (SoyGRN) by integrating TF-target interactions with diverse datasets encompassing gene expression, TFBS motifs, chromatin accessibility, and evolutionarily conserved regulation. SoyGRN comprises 2.44 million genome-wide interactions among 3188 TFs and 51,665 target genes. We successfully identify key TFs governing seed coat color and oil content and prioritize candidate genes within quantitative trait loci associated with various agronomic traits using SoyGRN. To accelerate utilization of SoyGRN, we develop an interactive webserver ( www.soytfbase.cn ) for soybean community to explore functional TFs involved in trait regulation.

conclusionsOverall, our study unravels intricate landscape of TF-target interactions in soybean and provides a valuable resource for dissecting key regulators for control of agronomic traits to accelerate soybean improvement.

Indexed as

Gene Expression Regulation, PlantGene Regulatory NetworksGlycine maxQuantitative Trait LociTranscription FactorsBinding SitesGenome, PlantPlant ProteinsPlant ProteinsTranscription FactorsGene expressionGene regulatory networkSoybeanTranscription factors

Identifiers

PMID39695844
PMCPMC11656900

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.