Evidence map›Paper›PMID 41454350›Full record

ArticleGenome biology2025

The differential subcellular localization of soybean transcripts, an additional regulatory mechanism of gene activity.

Sutton Tennant, Erik J Amezquita, Yaohua Li, Benjamin Smith, Sai Subhash Mahamkali Venkata Subramanyam, Sergio Alan Cervantes-Pérez, Sandra Thibivilliers, Samik Bhattacharya, Jasper Klaver, Marc Libault

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In one paragraph

Article in Genome biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

10 authors.

Sutton Tennant *Division of Plant Science and Technology, College of Agriculture, Food, and Natural Resources, University of Missouri-Columbia, Columbia, MO, 65211, USA.
Erik J Amezquita *Division of Plant Science and Technology, College of Agriculture, Food, and Natural Resources, University of Missouri-Columbia, Columbia, MO, 65211, USA.
Yaohua LiDivision of Plant Science and Technology, College of Agriculture, Food, and Natural Resources, University of Missouri-Columbia, Columbia, MO, 65211, USA.
Benjamin SmithVision Science Group, University of California, Berkeley, Berkeley, CA, USA.
Sai Subhash Mahamkali Venkata SubramanyamDepartment of Agronomy and Horticulture, University of Nebraska, Lincoln, 68503, USA.
Sergio Alan Cervantes-PérezDepartment of Agronomy and Horticulture, University of Nebraska, Lincoln, 68503, USA.
Sandra ThibivilliersDivision of Plant Science and Technology, College of Agriculture, Food, and Natural Resources, University of Missouri-Columbia, Columbia, MO, 65211, USA.
Samik BhattacharyaResolve Biosciences, Monheim Am Rhein, Germany.
Jasper KlaverResolve Biosciences, Monheim Am Rhein, Germany.
Marc LibaultDivision of Plant Science and Technology, College of Agriculture, Food, and Natural Resources, University of Missouri-Columbia, Columbia, MO, 65211, USA. libaultm@missouri.edu.

Funding

NSF #2127485
6 · The paper itself

Abstract

backgroundOur understanding of gene function is often driven by its expression and, a fortiori, based on its RNA abundance in a cell, a tissue, or an organ. This assumption often neglects the limited correlation between RNA and protein abundance, largely due to post-transcriptional and pre-translational regulation. Among these regulatory processes, the spatial distribution of RNA molecules within cells has been reported as a major contributor of cellular function in microbial and animal systems. However, our understanding of the differential cellular distribution of transcripts in plants is very limited.

resultsIn this manuscript, using Molecular Cartography™ and Xenium, two high-resolution and sensitive spatial transcriptomic technologies, we comprehensively analyze the differential mapping of millions of plant transcripts in the nuclear and cytoplasmic compartments of various soybean nodule cell types. Our analysis reveals distinct distributions of transcripts between the nuclear and the cytoplasmic compartments of the soybean nodule cell. We also detect variability in cytoplasmic distribution among transcripts encoded by different genes and across cell types.

conclusionsOur findings reveal the strong diversity in the spatial distribution of transcripts in and between differentiated plant cells. It suggests that transcript localization serves as an additional regulatory layer beyond transcriptional control. By modulating nuclear export and cytoplasmic positioning, plant cells may fine-tune translational efficiency and gene function. This study underscores the importance of incorporating spatial information into transcriptomic analyses and provides new insights into the regulatory architecture of plant RNA biology.

Indexed as

Gene Expression Regulation, PlantGlycine maxCell NucleusCytoplasmGene Expression ProfilingRNA, MessengerRNA, PlantTranscriptomeRNA, MessengerRNA, Plant

Identifiers

PMID41454350
PMCPMC12853825

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LicenceCC BY-NC-ND
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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.