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Elucidating dynamic anaerobe metabolism with HRMAS C NMR and genome-scale modeling.

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2023-05

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Nature Journals
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Pavao, A., Girinathan, B., Peltier, J., Altamirano Silva, P., Dupuy, B., Muti, I. H., Malloy, C., Cheng, L. L., & Bry, L. (2023). Elucidating dynamic anaerobe metabolism with HRMAS 13C NMR and genome-scale modeling. Nature Chemical Biology, 19(5), 556–564. https://doi.org/10.1038/s41589-023-01275-9

Abstract

Anaerobic microbial metabolism drives critical functions within global ecosystems, host-microbiota interactions, and industrial applications, yet remains ill-defined. Here we advance a versatile approach to elaborate cellular metabolism in obligate anaerobes using the pathogen Clostridioides difficile, an amino acid and carbohydrate-fermenting Clostridia. High-resolution magic angle spinning nuclear magnetic resonance (NMR) spectroscopy of C. difficile, grown with fermentable C substrates, informed dynamic flux balance analysis (dFBA) of the pathogen's genome-scale metabolism. Analyses identified dynamic recruitment of oxidative and supporting reductive pathways, with integration of high-flux amino acid and glycolytic metabolism at alanine's biosynthesis to support efficient energy generation, nitrogen handling and biomass generation. Model predictions informed an approach leveraging the sensitivity of C NMR spectroscopy to simultaneously track cellular carbon and nitrogen flow from [U-C]glucose and [N]leucine, confirming the formation of [C,N]alanine. Findings identify metabolic strategies used by C. difficile to support its rapid colonization and expansion in gut ecosystems.

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First published use of high resolution magic angle spinning (HRMAS) NMR to study dynamic metabolism of the obligate anaerobe Clostridioides difficile under anoxic and reducing conditions. Dense NMR time series with defined 13C fermentable substrates supported genome-scale metabolic inference to deconvolute complex metabolism over phases of growth and relative to shift in redox metabolism.

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