bioRxivMicrobiologyPreprint
Fecal metabolomics reveals preferential complex carbohydrate utilization and guides cultivation of murine gut Firmicutes
Preethi SudhakaraiD, James P. Martin, Joan A. Whitlock, Timothy J. GarrettiD, Gurjit Singh SidhuiD, Gary P. WangiD
Abstract
The murine gut microbiota provides robust colonization resistance against Clostridioides difficile infection (CDI), yet murine-associated microbes remain notoriously difficult to cultivate in vitro, limiting mechanistic investigation. To identify the ecological and nutritional basis of this cultivation barrier, we leveraged CDI susceptibility as a functional readout of microbial community metabolism to infer in vivo nutrient utilization. Germ-free C57BL/6 mice colonized with varying dilutions of ethanol-treated murine microbiota were challenged with C. difficile resulting in a spectrum of CDI outcomes. Comparative metabolomics of pre-challenge fecal samples revealed a consistent carbohydrate signature: glucose accumulated in communities that resisted C. difficile challenge, whereas complex carbohydrates, including raffinose, sucrose, trehalose, lactose, sorbitol, and mannitol, were significantly depleted. The broad depletion of these complex carbohydrates supports their functional importance within the collective microbial community. Conventional glucose-based media (CMA, BHI+I, RCMT) failed to support robust growth or subculture of murine gut microbiota. Guided by the metabolomics findings, we developed Peptone Yeast Extract with Six Salts and Sugars (PYE6S), a glucose-free medium supplemented with the complex carbohydrates identified as depleted. PYE6S enabled cultivation of 22 unique Firmicutes ASVs, 82% of which lacked named cultured representatives in reference databases. These findings suggest a plausible explanation for why conventional media fail and support a metabolomics-guided framework for rational cultivation of host-associated microbiota across diverse systems. This strategy may be extended to guide media design for other host-associated microbiotas.
- organism: mouse
- assay: metabolomics
- research focus: cell type annotation
- research focus: clustering
- approach: statistical model
- Citations
- 0
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