Enzymatic carbon–fluorine bond cleavage by human gut microbes
Open accessPublished version of a preprint
Abstract
Fluorinated compounds are used for agrochemical, pharmaceutical, and numerous industrial applications, resulting in global contamination. In many molecules, fluorine is incorporated to enhance the half-life and improve bioavailability. Fluorinated compounds enter the human body through food, water, and xenobiotics including pharmaceuticals, exposing gut microbes to these substances. The human gut microbiota is known for its xenobiotic biotransformation capabilities, but it was not previously known whether gut microbial enzymes could break carbon–fluorine bonds, potentially altering the toxicity of these compounds. Here, through the development of a rapid, miniaturized fluoride detection assay for whole-cell screening, we identified active gut microbial defluorinases. We biochemically characterized enzymes from diverse human gut microbial classes including Clostridia, Bacilli, and Coriobacteriia, with the capacity to hydrolyze (di)fluorinated organic acids and a fluorinated amino acid. Whole-protein alanine scanning, molecular dynamics simulations, and chimeric protein design enabled the identification of a disordered C-terminal protein segment involved in defluorination activity. Domain swapping exclusively of the C-terminus conferred defluorination activity to a nondefluorinating dehalogenase. To advance our understanding of the structural and sequence differences between defluorinating and nondefluorinating dehalogenases, we trained machine learning models which identified protein termini as important features. Models trained on 41-amino acid segments from protein C termini alone predicted defluorination activity with 83% accuracy (compared to 95% accuracy based on full-length protein features). This work is relevant for therapeutic interventions and environmental and human health by uncovering specificity-determining signatures of fluorine biochemistry from the gut microbiome.
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Cites
Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764 · see citing works
Accurate structure prediction of biomolecular interactions with AlphaFold 3
Abramson, J., Adler, J., Dunger, J., Evans, R., Green, T., Pritzel, A., Ronneberger, O., Willmore, L., Ballard, A. J., Bambrick, J., et al. (2024) · Nature · doi:10.1038/s41586-024-07487-w · Cited by 15,861 · see citing works
UniProt: the Universal Protein Knowledgebase in 2023
The UniProt Consortium, Bateman, A., Martin, M.-J., Orchard, S., Magrane, M., Ahmad, S., Alpi, E., Bowler-Barnett, E. H., Britto, R., Bye-A-Jee, H., et al. (2023) · Nucleic Acids Research · doi:10.1093/nar/gkac1052 · Cited by 7,210 · see citing works
Current Contributions of Organofluorine Compounds to the Agrochemical Industry
Ogawa, Y., Tokunaga, E., Kobayashi, O., Hirai, K., & Shibata, N. (2020) · iScience · doi:10.1016/j.isci.2020.101467 · Cited by 1,253 · see citing works
Local bacteria affect the efficacy of chemotherapeutic drugs
Lehouritis, P., Cummins, J., Stanton, M., Murphy, C. T., McCarthy, F. O., Reid, G., Urbaniak, C., Byrne, W. L., & Tangney, M. (2015) · Scientific Reports · doi:10.1038/srep14554 · Cited by 313 · see citing works
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- Authors
- Probst, S. I., Felder, F. D., Poltorak, V., Mewalal, R., Blaby, I. K., & Robinson, S. L.
- Affiliations
- Swiss Federal Institute of Aquatic Science and Technology (CH)
- ETH Zurich (CH)
- Lawrence Berkeley National Laboratory (US)
- Corresponding author
- Robinson, Serina L.
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2025-06-13
- Volume
- 122
- Issue
- 24
- Pages
- e2504122122-e2504122122
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC12184663
- OpenAlex
- W4411272772
- Cited by
- 24
- References
- 5
- Citations by year
- 2026: 16 · 2025: 6 · 2024: 2
- FWCI
- 21.23
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Repository for Publications and Research Data (ETH Zurich) (publishedVersion, cc-by)
- DORA Eawag (Swiss Federal Institute of Aquatic Science and Technology (Eawag)) (submittedVersion, cc-by)
- eScholarship (California Digital Library) (submittedVersion, cc-by-nc)
- ETH Zürich Research Collection
- Funders
- Helmut Horten Stiftung (2022-YIG-090)
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (PZPGP2_209124)
- Peter und Traudl Engelhorn Stiftung (N/A)
- Uniscientia Foundation (230-2024)
- Eidgenössische Technische Hochschule Zürich (23-2-ETH-047)
- Topics
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmacology › Pharmacogenetics and Drug Metabolism
- Physical Sciences › Environmental Science › Environmental Chemistry › Per- and polyfluoroalkyl substances research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Enzyme Catalysis and Immobilization
- Keywords
- carbon-fluorine bond cleavage, gut microbiota, xenobiotic metabolism, fluorinated compounds, dehalogenase, domain swapping, protein termini, fluorinated amino acids, Clostridia, bacilli, Coriobacteriia
- MeSH terms
- Gastrointestinal Microbiome, Bacterial Proteins, Carbon, Fluorine, Humans, Hydrolases, Halogenation, Molecular Dynamics Simulation
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