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

**Authors:** Yaohua Li, Jared Vigil, Rajashree Pradhan, Jie Zhu, Marc Libault

PMC · DOI: 10.3390/microorganisms14020380 · Microorganisms · 2026-02-05

## TL;DR

This paper reviews how new single-cell and spatial techniques help understand plant-microbe interactions at the cell level, aiming to improve sustainable agriculture.

## Contribution

The paper introduces a framework for integrating multi-omics data to decode plant-microbe interactions at cellular resolution.

## Key findings

- Single-cell methods reveal plant cell-type-specific microbial interactions and immune responses.
- Spatial multi-omics can reconstruct interaction networks linking plant cells with microbial niches.
- Integrative approaches provide insights into inter-kingdom signaling and symbiotic differentiation.

## 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.

## Full-text entities

- **Diseases:** infection (MESH:D007239), injury to (MESH:D014947), microbial infection (MESH:D015163)
- **Chemicals:** MAMPs (-), cytokinin (MESH:D003583), flavonoid (MESH:D005419), poly(A) (MESH:D011061), A (MESH:D001151), phosphorus (MESH:D010758), carbon (MESH:D002244), nitrogen (MESH:D009584), 2,4-diacetylphloroglucinol (MESH:C059817)
- **Species:** Arabidopsis thaliana (mouse-ear cress, species) [taxon 3702], Rhizobium (genus) [taxon 379], Homo sapiens (human, species) [taxon 9606], Pseudomonas syringae pv. tomato str. DC3000 (strain) [taxon 223283], Bacteria Latreille et al. 1825 (Bacteria stick insect, genus) [taxon 629395], Medicago truncatula (barrel medic, species) [taxon 3880], Glycine max (soybean, species) [taxon 3847], Escherichia coli (E. coli, species) [taxon 562], Rhizophagus irregularis (species) [taxon 588596], Paulownia fortunei (species) [taxon 586722], Catharanthus roseus (chatas, species) [taxon 4058], Salmonella enterica (species) [taxon 28901], Candidatus Phytoplasma (plant yellows agents, genus) [taxon 33926]

## Full text

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## Figures

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## References

106 references — full list in the complete paper: https://tomesphere.com/paper/PMC12942776/full.md

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Source: https://tomesphere.com/paper/PMC12942776