Open AccessHighly multiplexed spatial mapping of microbial communities
Author(s) -
Hao Shi,
Qiaojuan Shi,
Benjamin Grodner,
Joan Sesing Lenz,
Warren Zipfel,
Ilana Brito,
Iwijn De Vlaminck
Publication year - 2020
Publication title -
nature
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 15.993
H-Index - 1226
eISSN - 1476-4687
pISSN - 0028-0836
DOI - 10.1038/s41586-020-2983-4
Subject(s) - microbiome , fluorescence in situ hybridization , microbial ecology , biology , metagenomics , computational biology , evolutionary biology , ecology , genetics , bacteria , chromosome , gene
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 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.