The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Highly multiplexed spatial mapping of microbial communities
Open accessAbstract
Mapping the complex biogeography of microbial communities in situ with high taxonomic and spatial resolution poses a major challenge because of the high density1 and rich diversity2 of species in environmental microbiomes and the limitations of optical imaging technology3–6. Here we introduce high-phylogenetic-resolution microbiome mapping by fluorescence in situ hybridization (HiPR-FISH), a versatile technology that uses binary encoding, spectral imaging and decoding based on machine learning to create micrometre-scale maps of the locations and identities of hundreds of microbial species in complex communities. We show that 10-bit HiPR-FISH can distinguish between 1,023 isolates of Escherichia coli, each fluorescently labelled with a unique binary barcode. HiPR-FISH, in conjunction with custom algorithms for automated probe design and analysis of single-cell images, reveals the disruption of spatial networks in the mouse gut microbiome in response to treatment with antibiotics, and the longitudinal stability of spatial architectures in the human oral plaque microbiome. Combined with super-resolution imaging, HiPR-FISH shows the diverse strategies of ribosome organization that are exhibited by taxa in the human oral microbiome. HiPR-FISH provides a framework for analysing the spatial ecology of environmental microbial communities at single-cell resolution. High-phylogenetic-resolution microbiome mapping by fluorescence in situ hybridization (HiPR-FISH) enables the spatial mapping of hundreds of species of microorganisms and shows how microbial networks in the mouse gut are affected by antibiotic treatment.
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Cites
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Cited by
The microbiome and human cancer
Sepich-Poore, G. D., Zitvogel, L., Straussman, R., Hasty, J., Wargo, J. A., & Knight, R. (2021) · Science · doi:10.1126/science.abc4552 · Cited by 1,332
Spatial transcriptomics of planktonic and sessile bacterial populations at single-cell resolution
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Microbiota‐microglia connections in age‐related cognition decline
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Computational methods and challenges in analyzing intratumoral microbiome data
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“They reported an altered spatial association with the most significant fold change between Oscillibacter and Veillonella, which has been linked to altered inflammatory responses and metabolic activities in the host [50].”
Background
Metadata
- Authors
- Shi, H., Shi, Q., Grodner, B., Lenz, J. S., Zipfel, W. R., Brito, I. L., & De Vlaminck, I.
- Venue
- Nature
- Published
- 2020-12-02
- Volume
- 588
- Issue
- 7839
- Pages
- 676-681
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W3108091462
- Cited by
- 245
- References
- 11
- FWCI
- 7.81
- Type
- journal article
- Language
- en
- Open access
- green
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