Evidence map›Paper›PMID 41240368›Full record

ArticlePlant physiology2025

Phloem-specific translational regulation of soybean nodulation: Insights from a phloem-targeted TRAP-seq approach.

Jae Hyo Song, Shin-Ichiro Agake, Sayuri Tanabata, Yaya Cui, Li Su, Bruna Montes-Luz, Dong Xu, Gary Stacey

Abstract read
In one paragraph

Article in Plant physiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

8 authors.

Jae Hyo SongC.S. Bond Life Science Center, Division of Plant Sciences and Technology, University of Missouri, Columbia, MO 65201, USA.ORCID 0000-0003-4324-9335
Shin-Ichiro AgakeC.S. Bond Life Science Center, Division of Plant Sciences and Technology, University of Missouri, Columbia, MO 65201, USA.ORCID 0000-0001-6914-9530
Sayuri TanabataC.S. Bond Life Science Center, Division of Plant Sciences and Technology, University of Missouri, Columbia, MO 65201, USA.ORCID 0000-0001-5098-3007
Yaya CuiC.S. Bond Life Science Center, Division of Plant Sciences and Technology, University of Missouri, Columbia, MO 65201, USA.
Li SuInstitute for Data Science and Informatics, C.S. Bond Life Science Center, Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO 65201, USA.ORCID 0000-0003-3735-4681
Bruna Montes-LuzC.S. Bond Life Science Center, Division of Plant Sciences and Technology, University of Missouri, Columbia, MO 65201, USA.ORCID 0000-0002-4891-7817
Dong XuInstitute for Data Science and Informatics, C.S. Bond Life Science Center, Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO 65201, USA.ORCID 0000-0002-4809-0514
Gary StaceyC.S. Bond Life Science Center, Division of Plant Sciences and Technology, University of Missouri, Columbia, MO 65201, USA.ORCID 0000-0001-5914-2247

Funding

Multi-view self-supervised deep learning for biological sequences and beyondR35GM126985 · NIGMS · UNIVERSITY OF SOUTH FLORIDA · PI DONG XU · 2018 to 2026
$3.8M
Japan Society for the Promotion of Science through Overseas Research Fellowships and KAKENHI JP22K05366Japan Society for the Promotion of Science through Overseas Research Fellowships and KAKENHI JP23KK0107National Science Foundation Plant Genome Program IOS-2048410NIGMS NIH HHS R35 GM126985NIH HHS R35-GM126985
6 · The paper itself

Abstract

Soybean (Glycine max) root nodulation is a symbiotic process that requires complex molecular and cellular coordination. The phloem plays a crucial role not only in nutrient transport but also in long-distance signaling that regulates nodulation. However, the molecular mechanisms underlying phloem-specific regulation during nodulation remain poorly characterized. Here, we developed a phloem-specific Translating Ribosome Affinity Purification sequencing system to investigate the translational dynamics of phloem-associated genes during nodulation. Using a phloem-specific promoter (Glyma.01G040700) combined with the GAL4-UAS amplification system, we successfully captured the translatome of soybean root phloem at early (72 h postinoculation, hpi) and late (21 d postinoculation, dpi) nodulation stages. Differential expression analysis revealed dynamic translational reprogramming, with 2,636 differentially expressed genes (DEGs) at 72 hpi and 8,422 DEGs at 21 dpi. Gene ontology and pathway enrichment analyses showed stage-specific regulatory shifts, including early activation of ethylene and defense pathways and late-stage enhancement of nutrient transport and vascular development. Transcription factor analysis identified GmbHLH121 as a key phloem-specific regulator of nodulation. Functional validation using RNA interference knockdown and overexpression experiments demonstrated that GmbHLH121 negatively regulates nodule formation, likely acting downstream of or independently from early nodulation signaling pathways. Additionally, we uncovered dynamic regulation of cell wall-modifying enzymes (pectin methylesterase [PME] and PME inhibitors) in the phloem, implicating their role in modulating plasmodesmata permeability and facilitating symplastic connectivity during nodulation. Our findings highlight the critical role of phloem-mediated translational regulation in coordinating root nodulation, emphasizing the phloem as an active regulatory hub for long-distance signaling and symbiotic efficiency.

Indexed as

Glycine maxPhloemPlant Root NodulationProtein BiosynthesisGene Expression Regulation, PlantPlant ProteinsPlant RootsPlant Proteins

Identifiers

PMID41240368
PMCPMC12625658

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.