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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.
Affiliation
  • Ge X; Department of Electrical & Computer Engineering, Boston University, Boston, MA 02215.
  • Pereira FC; Centre for Microbiology and Environmental Systems Science, Department of Microbiology and Ecosystem Science, University of Vienna, 1030 Vienna, Austria.
  • Mitteregger M; Centre for Microbiology and Environmental Systems Science, Department of Microbiology and Ecosystem Science, University of Vienna, 1030 Vienna, Austria.
  • Berry D; Centre for Microbiology and Environmental Systems Science, Department of Microbiology and Ecosystem Science, University of Vienna, 1030 Vienna, Austria.
  • Zhang M; Department of Electrical & Computer Engineering, Boston University, Boston, MA 02215.
  • Hausmann B; Joint Microbiome Facility of the Medical University of Vienna and the University of Vienna, 1030 Vienna, Austria.
  • Zhang J; Department of Laboratory Medicine, Medical University of Vienna, 1090 Vienna, Austria.
  • Schintlmeister A; Department of Biomedical Engineering, Photonics Center, Boston University, Boston, MA 02215.
  • Wagner M; Centre for Microbiology and Environmental Systems Science, Department of Microbiology and Ecosystem Science, University of Vienna, 1030 Vienna, Austria.
  • Cheng JX; Centre for Microbiology and Environmental Systems Science, Department of Microbiology and Ecosystem Science, University of Vienna, 1030 Vienna, Austria.
Proc Natl Acad Sci U S A ; 119(26): e2203519119, 2022 06 28.
Article in En | MEDLINE | ID: mdl-35727976
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 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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Spectrum Analysis, Raman / In Situ Hybridization, Fluorescence / Bacteroidetes / Firmicutes / Gastrointestinal Microbiome Limits: Humans Language: En Journal: Proc Natl Acad Sci U S A Year: 2022 Type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Spectrum Analysis, Raman / In Situ Hybridization, Fluorescence / Bacteroidetes / Firmicutes / Gastrointestinal Microbiome Limits: Humans Language: En Journal: Proc Natl Acad Sci U S A Year: 2022 Type: Article