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SRS-FISH: A high-throughput platform linking microbiome metabolism to identity at the single-cell level
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 current detection methods for det...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9245642/ https://www.ncbi.nlm.nih.gov/pubmed/35727976 http://dx.doi.org/10.1073/pnas.2203519119 |
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author | Ge, Xiaowei Pereira, Fátima C. Mitteregger, Matthias Berry, David Zhang, Meng Hausmann, Bela Zhang, Jing Schintlmeister, Arno Wagner, Michael Cheng, Ji-Xin |
author_facet | Ge, Xiaowei Pereira, Fátima C. Mitteregger, Matthias Berry, David Zhang, Meng Hausmann, Bela Zhang, Jing Schintlmeister, Arno Wagner, Michael Cheng, Ji-Xin |
author_sort | Ge, Xiaowei |
collection | PubMed |
description | 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 current detection methods for determination of 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 metabolism and identity analyses of microbial communities with single-cell resolution. SRS-FISH offers an imaging speed of 10 to 100 ms per cell, which is two to three orders of magnitude faster than achievable by state-of-the-art methods. Using this technique, we delineated metabolic responses of 30,000 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. With high sensitivity and speed, SRS-FISH will enable researchers to probe the fine-scale temporal, spatial, and individual activity patterns of microbial cells in complex communities with unprecedented detail. |
format | Online Article Text |
id | pubmed-9245642 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-92456422022-07-01 SRS-FISH: A high-throughput platform linking microbiome metabolism to identity at the single-cell level Ge, Xiaowei Pereira, Fátima C. Mitteregger, Matthias Berry, David Zhang, Meng Hausmann, Bela Zhang, Jing Schintlmeister, Arno Wagner, Michael Cheng, Ji-Xin Proc Natl Acad Sci U S A Biological Sciences 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 current detection methods for determination of 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 metabolism and identity analyses of microbial communities with single-cell resolution. SRS-FISH offers an imaging speed of 10 to 100 ms per cell, which is two to three orders of magnitude faster than achievable by state-of-the-art methods. Using this technique, we delineated metabolic responses of 30,000 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. With high sensitivity and speed, SRS-FISH will enable researchers to probe the fine-scale temporal, spatial, and individual activity patterns of microbial cells in complex communities with unprecedented detail. National Academy of Sciences 2022-06-21 2022-06-28 /pmc/articles/PMC9245642/ /pubmed/35727976 http://dx.doi.org/10.1073/pnas.2203519119 Text en Copyright © 2022 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Biological Sciences Ge, Xiaowei Pereira, Fátima C. Mitteregger, Matthias Berry, David Zhang, Meng Hausmann, Bela Zhang, Jing Schintlmeister, Arno Wagner, Michael Cheng, Ji-Xin SRS-FISH: A high-throughput platform linking microbiome metabolism to identity at the single-cell level |
title | SRS-FISH: A high-throughput platform linking microbiome metabolism to identity at the single-cell level |
title_full | SRS-FISH: A high-throughput platform linking microbiome metabolism to identity at the single-cell level |
title_fullStr | SRS-FISH: A high-throughput platform linking microbiome metabolism to identity at the single-cell level |
title_full_unstemmed | SRS-FISH: A high-throughput platform linking microbiome metabolism to identity at the single-cell level |
title_short | SRS-FISH: A high-throughput platform linking microbiome metabolism to identity at the single-cell level |
title_sort | srs-fish: a high-throughput platform linking microbiome metabolism to identity at the single-cell level |
topic | Biological Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9245642/ https://www.ncbi.nlm.nih.gov/pubmed/35727976 http://dx.doi.org/10.1073/pnas.2203519119 |
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