ReviewTrends in microbiology2026
Micro-scale spatial metagenomics opens a new era in microbiome ecology.
Review in Trends in microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Metagenomics in the Interplay Among Oral and Gut Dysbiosis.Metabolites · 2026Review
- Architectural intelligence: toward a spatial framework for interpreting microbiome-associated human disease.The ISME journal · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Understanding microbial communities requires moving beyond 2D representations toward a holistic view that couples 3D spatial organization with ecological function, integrating microbial inventories, genes, expression profiles, and interactions at scales and dimensions in which microbial life unfolds. In this opinion article, we synthesize recent findings and emerging approaches that enable the investigation of microbial interactions within their native 3D context. We propose conceptual frameworks for integrating spatial-functional information into comprehensive ecological maps, providing new avenues to interpret microbial interactions and to test ecological theory in situ. Together, these insights outline a new ecological paradigm for microbiome research and highlight how spatially resolved understanding can be harnessed to interpret and ultimately guide the modulation of microbial interactions and ecosystem function in natural settings.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.