Evidence map›Paper›PMID 39893633›Full record

ArticleCell reports2025

A single-cell and spatial wheat root atlas with cross-species annotations delineates conserved tissue-specific marker genes and regulators.

Yuji Ke, Vincent Pujol, Jasper Staut, Lotte Pollaris, Ruth Seurinck, Thomas Eekhout, Carolin Grones, Maite Saura-Sanchez, Michiel Van Bel, Marnik Vuylsteke and 5 more

Abstract read
In one paragraph

Article in Cell reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Single-cell insights into plant growth, adaptation, and evolution.Journal of integrative plant biology · 2026
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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

15 authors.

Yuji KeDepartment of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium; VIB Center for Plant Systems Biology, Ghent, Belgium.
Vincent PujolDepartment of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium; VIB Center for Inflammation Research, Ghent, BE, Belgium.
Jasper StautDepartment of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium; VIB Center for Plant Systems Biology, Ghent, Belgium.
Lotte PollarisDepartment of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium; VIB Center for Inflammation Research, Ghent, BE, Belgium.
Ruth SeurinckDepartment of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium; VIB Center for Inflammation Research, Ghent, BE, Belgium.
Thomas EekhoutDepartment of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium; VIB Center for Plant Systems Biology, Ghent, Belgium; VIB Single Cell Core, VIB, Ghent/Leuven, Belgium.
Carolin GronesDepartment of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium; VIB Center for Plant Systems Biology, Ghent, Belgium.
Maite Saura-SanchezDepartment of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium; VIB Center for Plant Systems Biology, Ghent, Belgium.
Michiel Van BelDepartment of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium; VIB Center for Plant Systems Biology, Ghent, Belgium.
Marnik VuylstekeGnomixx, Melle, Belgium.
Andrea ArianiBASF Belgium Coordination Center CommV, Innovation Center Gent, Technologiepark-Zwijnaarde 101, 9052 Ghent, Belgium.
Christophe Liseron-MonfilsBASF Belgium Coordination Center CommV, Innovation Center Gent, Technologiepark-Zwijnaarde 101, 9052 Ghent, Belgium.
Klaas VandepoeleDepartment of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium; VIB Center for Plant Systems Biology, Ghent, Belgium. Electronic address: klaas.vandepoele@psb.vib-ugent.be.
Yvan SaeysDepartment of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium; VIB Center for Inflammation Research, Ghent, BE, Belgium. Electronic address: yvan.saeys@ugent.be.
Bert De RybelDepartment of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium; VIB Center for Plant Systems Biology, Ghent, Belgium. Electronic address: bert.derybel@psb.vib-ugent.be.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the broad use of single-cell/nucleus RNA sequencing in plant research, accurate cluster annotation in less-studied plant species remains a major challenge due to the lack of validated marker genes. Here, we generated a single-cell RNA sequencing atlas of soil-grown wheat roots and annotated cluster identities by transferring annotations from publicly available datasets in wheat, rice, maize, and Arabidopsis. The predictions from our orthology-based annotation approach were next validated using untargeted spatial transcriptomics. These results allowed us to predict evolutionarily conserved tissue-specific markers and generate cell type-specific gene regulatory networks for root tissues of wheat and the other species used in our analysis. In summary, we generated a single-cell and spatial transcriptomics resource for wheat root apical meristems, including numerous known and uncharacterized cell type-specific marker genes and developmental regulators. These data and analyses will facilitate future cell type annotation in non-model plant species.

Indexed as

Genes, PlantPlant RootsSingle-Cell AnalysisTriticumArabidopsisGene Expression Regulation, PlantGene Regulatory NetworksMolecular Sequence AnnotationOrgan SpecificityTranscriptomecluster annotationCP: Plantsgene regulatory networksroot meristem atlassingle-cell transcriptomicsuntargeted spatial transcriptomicswheat

Identifiers

PMID39893633
PMCPMC11860762

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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 OpenQuestion graph.