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

Yaohua Li1, Jared Vigil1, Rajashree Pradhan1

  • 1Division 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.

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Summary
This summary is machine-generated.

Single-cell and spatial multi-omics reveal plant cell-type-specific interactions with microbes. This approach helps engineer crop-microbiome relationships for sustainable agriculture by understanding cellular communication.

Keywords:
holobiontmicrobiomemulti-omicsplant–microbe interactionssingle-cell RNA sequencingspatial transcriptomics

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Area of Science:

  • Plant biology
  • Microbiome research
  • Agricultural science

Background:

  • Understanding plant-microbe interactions at the cellular level is key for optimizing plant holobionts.
  • Traditional methods lack resolution for cell-type-specific microbial colonization and interactions.
  • Single-cell and spatial multi-omics offer new insights into plant cell identity and regulation.

Purpose of the Study:

  • To review single-cell discoveries in plant-microbe interactions across different tissues.
  • To discuss integrating multi-omics data for reconstructing interaction networks.
  • To highlight strategies for engineering crop-microbiome interactions for sustainable agriculture.

Main Methods:

  • Review of single-cell transcriptomics and spatial multi-omics studies.
  • Analysis of plant cell-type-specific microbial perception and immune responses.
  • Integration of transcriptomic, epigenomic, and spatial data.

Main Results:

  • Identification of plant cell-type-specific microbial perception, immune activation, and symbiotic differentiation.
  • Reconstruction of multilayered interaction networks connecting plant regulatory states with microbial niches.
  • Elucidation of inter-kingdom signaling mechanisms like ligand-receptor and metabolite exchange.

Conclusions:

  • Single-cell and spatial multi-omics are transforming the study of plant holobionts.
  • Integrating diverse omics data is crucial for a systems-level understanding of plant-microbe interactions.
  • Future research should focus on building a comprehensive cellular interactome for improved agricultural applications.