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SRS-FISH: High-Throughput Platform Linking Microbiome Function to Identity at the Single Cell Level

View ORCID ProfileXiaowei Ge, View ORCID ProfileFátima C. Pereira, View ORCID ProfileMatthias Mitteregger, View ORCID ProfileDavid Berry, Meng Zhang, Michael Wagner, Ji-Xin Cheng
doi: https://doi.org/10.1101/2021.07.23.453601
Xiaowei Ge
aDepartment of Electrical & Computer Engineering, Boston University, Boston, Massachusetts, USA
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Fátima C. Pereira
bCentre for Microbiology and Environmental Systems Science, Department of Microbiology and Ecosystem Science, University of Vienna, 1090 Vienna, Austria
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Matthias Mitteregger
bCentre for Microbiology and Environmental Systems Science, Department of Microbiology and Ecosystem Science, University of Vienna, 1090 Vienna, Austria
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David Berry
bCentre for Microbiology and Environmental Systems Science, Department of Microbiology and Ecosystem Science, University of Vienna, 1090 Vienna, Austria
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Meng Zhang
aDepartment of Electrical & Computer Engineering, Boston University, Boston, Massachusetts, USA
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Michael Wagner
bCentre for Microbiology and Environmental Systems Science, Department of Microbiology and Ecosystem Science, University of Vienna, 1090 Vienna, Austria
cDepartment of Chemistry and Bioscience, Aalborg University, Aalborg, Denmark
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  • For correspondence: jxcheng@bu.edu michael.wagner@univie.ac.at
Ji-Xin Cheng
aDepartment of Electrical & Computer Engineering, Boston University, Boston, Massachusetts, USA
dDepartment of Biomedical Engineering, Photonics Center, Boston University, Boston, Massachusetts, USA
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  • For correspondence: jxcheng@bu.edu michael.wagner@univie.ac.at
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Abstract

One of the biggest challenges in microbiome research in environmental and medical samples is to better understand functional properties of microbial community members at a single cell level. Single cell isotope probing has become a key tool for this purpose, but the currently applied detection methods for measuring isotope incorporation into single cells do not allow high-throughput analyses. Here, we report on the development of an imaging-based approach termed stimulated Raman scattering - two-photon fluorescence in situ hybridization (SRS-FISH) for high-throughput structure-function analyses of microbial communities with single cell resolution. SRS-FISH has an imaging speed of 10 to 100 milliseconds per cell, which is two to three orders of magnitude faster than spontaneous Raman-FISH. Using this technique, we delineated metabolic responses of thirty thousand individual cells to various mucosal sugars in the human gut microbiome via incorporation of deuterium from heavy water as an activity marker. Application of SRS-FISH to investigate the utilization of host-derived nutrients by two major human gut microbiome taxa revealed that response to mucosal sugars tends to be dominated by Bacteroidales, with an unexpected finding that Clostridia can outperform Bacteroidales at foraging fucose.

Competing Interest Statement

The authors have declared no competing interest.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted July 24, 2021.
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SRS-FISH: High-Throughput Platform Linking Microbiome Function to Identity at the Single Cell Level
Xiaowei Ge, Fátima C. Pereira, Matthias Mitteregger, David Berry, Meng Zhang, Michael Wagner, Ji-Xin Cheng
bioRxiv 2021.07.23.453601; doi: https://doi.org/10.1101/2021.07.23.453601
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SRS-FISH: High-Throughput Platform Linking Microbiome Function to Identity at the Single Cell Level
Xiaowei Ge, Fátima C. Pereira, Matthias Mitteregger, David Berry, Meng Zhang, Michael Wagner, Ji-Xin Cheng
bioRxiv 2021.07.23.453601; doi: https://doi.org/10.1101/2021.07.23.453601

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