Evidence map›Paper›PMID 41753667›Full record

ReviewMicroorganisms2026

Integrating Single-Cell and Spatial Multi-Omics to Decode Plant-Microbe Interactions at Cellular Resolution.

Yaohua Li, Jared Vigil, Rajashree Pradhan, Jie Zhu, Marc Libault

Abstract readReview
In one paragraph

Review in Microorganisms, 2026. 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. Structural Variation and Its Roles in Plant Genomes.Plants (Basel, Switzerland) · 2026
    Review
  2. Review
  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

5 authors.

Yaohua LiDivision of Plant Science and Technology, College of Agriculture, Food and Natural Resources, Interdisciplinary Plant Group, Christopher S. Bond Life Sciences Center, University of Missouri-Columbia, Columbia, MO 65211, USA.ORCID 0000-0003-0418-9819
Jared VigilDivision of Plant Science and Technology, College of Agriculture, Food and Natural Resources, Interdisciplinary Plant Group, Christopher S. Bond Life Sciences Center, University of Missouri-Columbia, Columbia, MO 65211, USA.ORCID 0009-0006-8483-5583
Rajashree PradhanDivision of Plant Science and Technology, College of Agriculture, Food and Natural Resources, Interdisciplinary Plant Group, Christopher S. Bond Life Sciences Center, University of Missouri-Columbia, Columbia, MO 65211, USA.
Jie ZhuDivision of Biological Sciences, College of Arts and Science, Interdisciplinary Plant Group, University of Missouri-Columbia, Columbia, MO 65211, USA.ORCID 0000-0002-5217-6249
Marc LibaultDivision of Plant Science and Technology, College of Agriculture, Food and Natural Resources, Interdisciplinary Plant Group, Christopher S. Bond Life Sciences Center, University of Missouri-Columbia, Columbia, MO 65211, USA.

Funding

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

Abstract

Understanding the intimate interactions between plants and their microbiota at the cellular level is essential for unlocking the full potential of plant holobionts in agricultural systems. Traditional bulk and microbial community-level sequencing approaches reveal broad community patterns but fail to resolve how distinct plant cell types interact with or regulate microbial colonization, as well as the diverse antagonistic and synergistic interactions and responses existing between various microbial populations. Recent advances in single-cell and spatial multi-omics have transformed our understanding of plant cell identities as well as gene regulatory programs and their dynamic regulation in response to environmental stresses and plant development. In this review, we highlight the single-cell discoveries that uncover the plant cell-type-specific microbial perception, immune activation, and symbiotic differentiation, particularly in roots, nodules, and leaves. We further discuss how integrating transcriptomic, epigenomic, and spatial data can reconstruct multilayered interaction networks that connect plant cell-type-specific regulatory states with microbial spatial niches and inter-kingdom signaling (e.g., ligand-receptor and metabolite exchange), providing a foundation for developing new strategies to engineer crop-microbiome interactions to support sustainable agriculture. We conclude by outlining key methodological challenges and future research priorities that point toward building a fully integrated cellular interactome of the plant holobiont.

Indexed as

holobiontmicrobiomemulti-omicsplant–microbe interactionssingle-cell RNA sequencingspatial transcriptomics

Identifiers

PMID41753667
PMCPMC12942776

What OpenQuestion 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 OpenQuestion graph.