Spatial recovery of the murine gut microbiota after antibiotics perturbation

被引:2
|
作者
Taguer, M. [1 ]
Xiao, J. [2 ]
Crawford, R. [3 ]
Shi, H. [4 ]
Cheng, M. P. [4 ]
Citron, M. [2 ]
Hannigan, G. D. [5 ]
Kasper, S. H. [1 ]
机构
[1] Merck & Co Inc, MRL, Discovery Immunol, Cambridge, MA 02141 USA
[2] Merck & Co Inc, MRL, Infect Dis & Vaccine Res, West Point, PA USA
[3] Merck & Co Inc, MRL, Informat Technol, West Point, PA USA
[4] Kanvas Biosci Inc, Monmouth Jct, NJ USA
[5] Merck & Co Inc, MRL, Informat Technol, Cambridge, MA USA
关键词
spatial microbiome; fluorescent in situ hybridization; multiplexed imaging; antibiotics; IN-SITU HYBRIDIZATION; RESISTANCE; VANCOMYCIN; CELLS; DIET; FISH;
D O I
10.1128/mbio.00707-24
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Bacterial communities are highly complex, with interaction networks dictating ecosystem function. Bacterial interactions are constrained by the spatial organization of these microbial communities, yet studying the spatial organization of microbial communities at the single-cell level has been technically challenging. Here, we use the recently developed high-phylogenetic-resolution microbiota mapping by fluorescence in situ hybridization technology to image the gut microbiota at the species and single-cell level. We simultaneously image 63 different bacterial species to spatially characterize the perturbation and recovery of the gut microbiota to ampicillin and vancomycin in the cecum and distal colon of mice. To decipher the biology in this complex imaging data, we developed an analytical framework to characterize the spatial changes of the gut microbiota to a perturbation. The three-tiered analytical approach includes image-level diversity, pairwise colocalization analysis, and hypothesis-driven neighborhood analysis. Through this workflow, we identify biogeographic and antibiotic-based differences in the spatial organization of the gut microbiota. We demonstrate that the cecal microbiota has increased micrometer-scale diversity than the colon at baseline and recovers better from perturbation. Also, we identify potential foundation and keystone species that have high baseline neighborhood richness and that are associated with recovery from antibiotics. Through this workflow, we add a spatial layer to the characterization of bacterial communities and progress toward a better understanding of bacterial interactions leading to improved microbiome modulation strategies.IMPORTANCE Antibiotics have broad off-target effects on the gut microbiome. When the microbial community is unable to recover from antibiotics, it can lead to increased susceptibility to gastrointestinal infections and increased risk of immunological and metabolic diseases. In this study, we work to better understand how the gut microbiota recovers from antibiotics by employing a recent technology to image the entire bacterial community at once. Through this approach, we characterize the spatial changes in the gut microbiota after treatment with model antibiotics in both the cecum and colon of mice. We find antibiotic- and biogeographic-dependent spatial changes between bacterial species and that many of these spatial colocalizations do not recover to baseline levels even 35 days after antibiotic administration. Antibiotics have broad off-target effects on the gut microbiome. When the microbial community is unable to recover from antibiotics, it can lead to increased susceptibility to gastrointestinal infections and increased risk of immunological and metabolic diseases. In this study, we work to better understand how the gut microbiota recovers from antibiotics by employing a recent technology to image the entire bacterial community at once. Through this approach, we characterize the spatial changes in the gut microbiota after treatment with model antibiotics in both the cecum and colon of mice. We find antibiotic- and biogeographic-dependent spatial changes between bacterial species and that many of these spatial colocalizations do not recover to baseline levels even 35 days after antibiotic administration.
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页数:18
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