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Elucidating dynamic anaerobe metabolism with HRMAS (13)C NMR and genome-scale modeling
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 diffici...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10154198/ https://www.ncbi.nlm.nih.gov/pubmed/36894723 http://dx.doi.org/10.1038/s41589-023-01275-9 |
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author | Pavao, Aidan Girinathan, Brintha Peltier, Johann Altamirano Silva, Pamela Dupuy, Bruno Muti, Isabella H. Malloy, Craig Cheng, Leo L. Bry, Lynn |
author_facet | Pavao, Aidan Girinathan, Brintha Peltier, Johann Altamirano Silva, Pamela Dupuy, Bruno Muti, Isabella H. Malloy, Craig Cheng, Leo L. Bry, Lynn |
author_sort | Pavao, Aidan |
collection | PubMed |
description | 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 (13)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 (13)C NMR spectroscopy to simultaneously track cellular carbon and nitrogen flow from [U-(13)C]glucose and [(15)N]leucine, confirming the formation of [(13)C,(15)N]alanine. Findings identify metabolic strategies used by C. difficile to support its rapid colonization and expansion in gut ecosystems. [Image: see text] |
format | Online Article Text |
id | pubmed-10154198 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group US |
record_format | MEDLINE/PubMed |
spelling | pubmed-101541982023-05-04 Elucidating dynamic anaerobe metabolism with HRMAS (13)C NMR and genome-scale modeling Pavao, Aidan Girinathan, Brintha Peltier, Johann Altamirano Silva, Pamela Dupuy, Bruno Muti, Isabella H. Malloy, Craig Cheng, Leo L. Bry, Lynn Nat Chem Biol Article 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 (13)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 (13)C NMR spectroscopy to simultaneously track cellular carbon and nitrogen flow from [U-(13)C]glucose and [(15)N]leucine, confirming the formation of [(13)C,(15)N]alanine. Findings identify metabolic strategies used by C. difficile to support its rapid colonization and expansion in gut ecosystems. [Image: see text] Nature Publishing Group US 2023-03-09 2023 /pmc/articles/PMC10154198/ /pubmed/36894723 http://dx.doi.org/10.1038/s41589-023-01275-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Pavao, Aidan Girinathan, Brintha Peltier, Johann Altamirano Silva, Pamela Dupuy, Bruno Muti, Isabella H. Malloy, Craig Cheng, Leo L. Bry, Lynn Elucidating dynamic anaerobe metabolism with HRMAS (13)C NMR and genome-scale modeling |
title | Elucidating dynamic anaerobe metabolism with HRMAS (13)C NMR and genome-scale modeling |
title_full | Elucidating dynamic anaerobe metabolism with HRMAS (13)C NMR and genome-scale modeling |
title_fullStr | Elucidating dynamic anaerobe metabolism with HRMAS (13)C NMR and genome-scale modeling |
title_full_unstemmed | Elucidating dynamic anaerobe metabolism with HRMAS (13)C NMR and genome-scale modeling |
title_short | Elucidating dynamic anaerobe metabolism with HRMAS (13)C NMR and genome-scale modeling |
title_sort | elucidating dynamic anaerobe metabolism with hrmas (13)c nmr and genome-scale modeling |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10154198/ https://www.ncbi.nlm.nih.gov/pubmed/36894723 http://dx.doi.org/10.1038/s41589-023-01275-9 |
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