Evidence map›Paper›PMID 41375325›Full record

ReviewPlants (Basel, Switzerland)2025

Single-Cell Omics in Legumes: Research Trends and Applications.

Yaohua Li, Md Sabbir Hossain, Marc Libault

Abstract readReview
In one paragraph

Review in Plants (Basel, Switzerland), 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

3 authors.

Yaohua LiDivision of Plant Science and Technology, Interdisciplinary Plant Group and Christopher S. Bond Life Sciences Center, University of Missouri-Columbia, Columbia, MO 65211, USA.
Md Sabbir HossainDivision of Plant Science and Technology, Interdisciplinary Plant Group and Christopher S. Bond Life Sciences Center, University of Missouri-Columbia, Columbia, MO 65211, USA.ORCID 0000-0003-1065-2056
Marc LibaultDivision of Plant Science and Technology, Interdisciplinary Plant Group and Christopher S. Bond Life Sciences Center, University of Missouri-Columbia, Columbia, MO 65211, USA.

Funding

U.S. Department of Agriculture - National Institute of Food and Agriculture (USDA-NIFA) 2022-67013-36144U.S. National Science Foundation (NSF) 2414183, 2425989
6 · The paper itself

Abstract

Legumes are important food crops and play a central role in sustainable agriculture through their ability to form symbiosis with rhizobia, soil bacteria that fix atmospheric nitrogen. Recent advances in single-cell and spatial transcriptomics, along with single-cell epigenomics, have enabled high-resolution analysis of gene expression dynamics and the prediction of cell-type-specific regulatory networks. In this review, we highlight recent progress in the use of single-cell omics in legumes, with a particular focus on how genes functioning in distinct cell types contribute to plant development, responses to pathogens, stress-induced plasticity, and the establishment of root nodule symbioses. Case studies in

Indexed as

cell identity and regulatory networkscomparative cell atlaslegume cropsnitrogen fixationsingle-cell transcriptomicssynthetic biologytranslational breeding

Identifiers

PMID41375325
PMCPMC12694334

What Socratic 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 Socratic graph.