Visualizing germination of microbiota endospores in the mammalian gut.
Ningning XuLiyuan LinYahui DuHuibin LinJia SongChaoyong YangWei WangPublished in: Gut microbes (2022)
Transmission of bacterial endospores between the environment and people and the following germination <i>in vivo</i> play critical roles in both the deadly infections of some bacterial pathogens and the stabilization of the commensal microbiotas in humans. Our knowledge about the germination process of different bacteria in the mammalian gut, however, is still very limited due to the lack of suitable tools to visually monitor this process. We proposed a two-step labeling strategy that can image and quantify the endospores' germination in the recipient's intestines. Endospores collected from donor's gut microbiota were first labeled with fluorescein isothiocyanate and transplanted to mice via gavage. The recipient mice were then administered with Cyanine5-tagged D-amino acid to label all the viable bacteria, including the germinated endospores, in their intestines <i>in situ</i>. The germinated donor endospores could be distinguished by presenting two types of fluorescent signals simultaneously. The integrative use of cell-sorting, 16S rDNA sequencing, and fluorescence <i>in situ</i> hybridization (FISH) staining of the two-colored bacteria unveiled the taxonomic information of the donor endospores that germinated in the recipient's gut. Using this strategy, we investigated effects of different germinants and pre-treatment interventions on their germination, and found that germination of different commensal bacterial genera was distinctly affected by various types of germinants. This two-color labeling strategy shows its potential as a versatile tool for visually monitoring endospore germination in the hosts and screening for new interventions to improve endospore-based therapeutics.
Keyphrases
- plant growth
- single cell
- physical activity
- healthcare
- amino acid
- living cells
- single molecule
- high fat diet induced
- computed tomography
- type diabetes
- metabolic syndrome
- adipose tissue
- cell therapy
- machine learning
- stem cells
- mass spectrometry
- skeletal muscle
- case report
- health information
- pet imaging
- multidrug resistant
- nucleic acid