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Advancing the Deciphering of Host-Microbe Crosstalk with Spatial Omics: A Mini-Review.

Ruiying Chen·Si Huang·Hai-Xi Sun
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Abstract

Host-microbe crosstalk refers to the reciprocal influences between a host and its resident or invading microorganisms. This crosstalk plays important roles in maintaining host health, regulating physiological functions, and coordinating responses to infection. The rapid rise of spatial omics is transforming how this crosstalk is studied in both animals and plants. Unlike traditional bulk omics, which homogenize tissues and erase spatial context, spatial methods preserve in situ organization and can simultaneously capture molecular information from hosts and microbes. As a result, researchers can characterize the spatial organization of colonization and infection, identify spatial associations between microbial niches and host cell states, and visualize local host response gradients across intact tissues. Current spatial omics technologies encompass sequencing-based, imaging-based, and hybrid platforms. Spatial multi-omics approaches enable the joint measurement or integration of gene expression, protein abundance, and metabolite distributions. Although spatial association alone does not establish causality, spatial omics provides a high-resolution framework for characterizing host-microbe relationships within intact tissues and generating spatially constrained, testable hypotheses. When combined with perturbation experiments and complementary experimental evidence, these hypotheses can contribute to mechanistic interpretation of host-microbe crosstalk. Here, we review spatial omics technologies, compare their suitability and major trade-offs for host-microbe studies, and discuss computational strategies, analytical challenges, and future prospects.

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MultiomicsAnimalsHost Microbial InteractionsHost-Pathogen InteractionsPlantsHumansSpatial TranscriptomicsJournal ArticleReview

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Ruiying Chen, Si Huang, Hai-Xi Sun. 2026-09-11. Advancing the Deciphering of Host-Microbe Crosstalk with Spatial Omics: A Mini-Review.. https://doi.org/10.1007/s00284-026-05149-w

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