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Highly Multiplexed Spatial Mapping of Microbial Communities

Mapping the complex biogeography of microbial communities in situ with high taxonomic and spatial resolution poses a major challenge because of the high density(1) and rich diversity(2) of species in environmental microbiomes and the limitations of optical imaging technology(3–6). Here, we introduce...

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Autores principales: Shi, Hao, Shi, Qiaojuan, Grodner, Benjamin, Lenz, Joan Sesing, Zipfel, Warren, Brito, Ilana, De Vlaminck, Iwijn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8050837/
https://www.ncbi.nlm.nih.gov/pubmed/33268897
http://dx.doi.org/10.1038/s41586-020-2983-4
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author Shi, Hao
Shi, Qiaojuan
Grodner, Benjamin
Lenz, Joan Sesing
Zipfel, Warren
Brito, Ilana
De Vlaminck, Iwijn
author_facet Shi, Hao
Shi, Qiaojuan
Grodner, Benjamin
Lenz, Joan Sesing
Zipfel, Warren
Brito, Ilana
De Vlaminck, Iwijn
author_sort Shi, Hao
collection PubMed
description Mapping the complex biogeography of microbial communities in situ with high taxonomic and spatial resolution poses a major challenge because of the high density(1) and rich diversity(2) of species in environmental microbiomes and the limitations of optical imaging technology(3–6). 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 machine learning based decoding to create micron-scale maps of the locations and identities of hundreds of microbial species in complex communities. We demonstrate the ability of 10-bit HiPR-FISH to distinguish 1023 E. coli isolates, each fluorescently labeled with a unique binary barcode. HiPR-FISH, in conjunction with custom algorithms for automated probe design and single-cell image analysis, reveals the disruption of spatial networks in the mouse gut microbiome in response to antibiotic treatment and the longitudinal stability of spatial architectures in the human oral plaque microbiome. Combined with super-resolution imaging, HiPR-FISH reveals the diverse ribosome organization strategies of human oral microbial taxa. HiPR-FISH provides a framework for analyzing the spatial ecology of environmental microbial communities at single-cell resolution.
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spelling pubmed-80508372021-06-02 Highly Multiplexed Spatial Mapping of Microbial Communities Shi, Hao Shi, Qiaojuan Grodner, Benjamin Lenz, Joan Sesing Zipfel, Warren Brito, Ilana De Vlaminck, Iwijn Nature Article Mapping the complex biogeography of microbial communities in situ with high taxonomic and spatial resolution poses a major challenge because of the high density(1) and rich diversity(2) of species in environmental microbiomes and the limitations of optical imaging technology(3–6). 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 machine learning based decoding to create micron-scale maps of the locations and identities of hundreds of microbial species in complex communities. We demonstrate the ability of 10-bit HiPR-FISH to distinguish 1023 E. coli isolates, each fluorescently labeled with a unique binary barcode. HiPR-FISH, in conjunction with custom algorithms for automated probe design and single-cell image analysis, reveals the disruption of spatial networks in the mouse gut microbiome in response to antibiotic treatment and the longitudinal stability of spatial architectures in the human oral plaque microbiome. Combined with super-resolution imaging, HiPR-FISH reveals the diverse ribosome organization strategies of human oral microbial taxa. HiPR-FISH provides a framework for analyzing the spatial ecology of environmental microbial communities at single-cell resolution. 2020-12-02 2020-12 /pmc/articles/PMC8050837/ /pubmed/33268897 http://dx.doi.org/10.1038/s41586-020-2983-4 Text en http://www.nature.com/authors/editorial_policies/license.html#termsUsers may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Shi, Hao
Shi, Qiaojuan
Grodner, Benjamin
Lenz, Joan Sesing
Zipfel, Warren
Brito, Ilana
De Vlaminck, Iwijn
Highly Multiplexed Spatial Mapping of Microbial Communities
title Highly Multiplexed Spatial Mapping of Microbial Communities
title_full Highly Multiplexed Spatial Mapping of Microbial Communities
title_fullStr Highly Multiplexed Spatial Mapping of Microbial Communities
title_full_unstemmed Highly Multiplexed Spatial Mapping of Microbial Communities
title_short Highly Multiplexed Spatial Mapping of Microbial Communities
title_sort highly multiplexed spatial mapping of microbial communities
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8050837/
https://www.ncbi.nlm.nih.gov/pubmed/33268897
http://dx.doi.org/10.1038/s41586-020-2983-4
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