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Infection trains the host for microbiota-enhanced resistance to pathogens
Open accessAbstract
The microbiota shields the host against infections in a process known as colonization resistance. How infections themselves shape this fundamental process remains largely unknown. Here, we show that gut microbiota from previously infected hosts display enhanced resistance to infection. This long-term functional remodeling is associated with altered bile acid metabolism leading to the expansion of taxa that utilize the sulfonic acid taurine. Notably, supplying exogenous taurine alone is sufficient to induce this alteration in microbiota function and enhance resistance. Mechanistically, taurine potentiates the microbiota's production of sulfide, an inhibitor of cellular respiration, which is key to host invasion by numerous pathogens. As such, pharmaceutical sequestration of sulfide perturbs the microbiota's composition and promotes pathogen invasion. Together, this work reveals a process by which the host, triggered by infection, can deploy taurine as a nutrient to nourish and train the microbiota, promoting its resistance to subsequent infection.
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“For example, deconjugation of taurine-conjugated BAs has been shown to impact the establishment of colonization resistance against Klebsiella pneumoniae, the development of colorectal cancer and more recently metabolic disease43–45.”
From Bile salt hydrolases shape the bile acid landscape and restrict Clostridioides difficile growth in the murine gut (2023) · cites this paper as [44]
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“Reanalysis of the shotgun datasets using the same bioinformatics pipeline11,34,35 mostly reproduced reported taxonomic differences between Rs and NRs with minimal overlap between datasets (Supplementary Fig. 7a–d).”
From Intestinal microbiota signatures of clinical response and immune-related adverse events in melanoma patients treated with anti-PD-1 (2022) · cites this paper as [34]
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Cites
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Love, M. I., Huber, W., & Anders, S. (2014) · Genome Biology · doi:10.1186/s13059-014-0550-8 · Cited by 95,106
Fiji: an open-source platform for biological-image analysis
Schindelin, J., Arganda-Carreras, I., Frise, E., Kaynig, V., Longair, M., Pietzsch, T., Preibisch, S., Rueden, C., Saalfeld, S., Schmid, B., et al. (2012) · Nature Methods · doi:10.1038/nmeth.2019 · Cited by 66,890
Trimmomatic: a flexible trimmer for Illumina sequence data
Bolger, A. M., Lohse, M., & Usadel, B. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu170 · Cited by 65,548
Fast gapped-read alignment with Bowtie 2
Langmead, B., & Salzberg, S. L. (2012) · Nature Methods · doi:10.1038/nmeth.1923 · Cited by 56,400
STAR: ultrafast universal RNA-seq aligner
Dobin, A., Davis, C. A., Schlesinger, F., Drenkow, J., Zaleski, C., Jha, S., Batut, P., Chaisson, M., & Gingeras, T. R. (2013) · Bioinformatics · doi:10.1093/bioinformatics/bts635 · Cited by 51,709
Gene Ontology: tool for the unification of biology
Ashburner, M., Ball, C. A., Blake, J. A., Botstein, D., Butler, H., Cherry, J. M., Davis, A. P., Dolinski, K., Dwight, S. S., Eppig, J. T., et al. (2000) · Nature Genetics · doi:10.1038/75556 · Cited by 43,206
Cutadapt removes adapter sequences from high-throughput sequencing reads
Martin, M. (2011) · EMBnet.journal · doi:10.14806/ej.17.1.200 · Cited by 33,889
SPAdes: A New Genome Assembly Algorithm and Its Applications to Single-Cell Sequencing
Bankevich, A., Nurk, S., Antipov, D., Gurevich, A. A., Dvorkin, M. V., Kulikov, A. S., Lesin, V. M., Nikolenko, S., Pham, S., Prjibelski, A. D., et al. (2012) · Journal of Computational Biology · doi:10.1089/cmb.2012.0021 · Cited by 26,312
Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2
Bolyen, E., Rideout, J. R., Dillon, M. R., Bokulich, N. A., Abnet, C. C., Al-Ghalith, G. A., Alexander, H., Alm, E. J., Arumugam, M., Asnicar, F., et al. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0209-9 · Cited by 23,742
Prokka: rapid prokaryotic genome annotation
Seemann, T. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu153 · Cited by 18,937
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Items 201–239 of 239
Diffendall, G., Millot, P., Chen, P. B., Fogang, B., Dorin, D., Aprahamian, F., Durand, S., Gamain, B., Claessens, A., & Scherf, A. (2026) · Nature Microbiology · doi:10.1038/s41564-026-02268-9 · Cited by 1
Bacterial entrapment of a fungal carbon repressor prevents plant colonization
Xu, D., Xia, A., Huang, R., Huang, Y., Zhao, B., Shen, Q., Wang, G., Wang, Q., Liu, H., Huang, L., et al. (2026) · Cell Host & Microbe · doi:10.1016/j.chom.2026.02.001 · Cited by 2
Lessons learned by an organic chemist entering the microbiome field
Devlin, A. S. (2022) · Cell Host & Microbe · doi:10.1016/j.chom.2022.03.004 · Cited by 1
Eom, J. S., Lim, D.-H., Choi, H.-Y., Sung, W.-J., Hur, T., Kim, S. B., Lee, S. S., Moon, Y. H., & Kim, E. T. (2024) · Korean Journal of Veterinary Research · doi:10.14405/kjvr.20240020 · Cited by 1
Wong, A. C., & Levy, M. (2021) · Immunity · doi:10.1016/j.immuni.2021.01.009 · Cited by 1
Zhang, T., Hasegawa, Y., & Waldor, M. K. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.03.04.531105 · Cited by 1
Thermo-Responsive Polymers Targeting Inflammation in Murine ColitisPreprint
Zhang, S., Jin, A. T., Tang, W., Zhang, R. Y., Jing, L., Zhou, Y., Zhang, H., Lennerz, J. K., Korzenik, J. R., Langer, R., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.12.28.573545 · Cited by 1
Sulfide is a keystone metabolite for gut homeostasis and immunityPreprint
Band, V. I., Gribonika, I., Stacy, A., Bouladoux, N. J., Mistry, S., Burns, A. S., Pérez‐Chaparro, P. J., Chau, J., Enamorado, M., Nagai, M., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.03.06.641928 · Cited by 1
Self-citationBand, V. I., LaPoint, P., Levy, S., Krausfeldt, L. E., LaCroix, I. S., Chong, A., Brandes, N. T., Schwarz, B. H., Mistry, S., Burns, A. S., et al. (2025) · medRxiv · doi:10.1101/2025.10.01.25337000 · Cited by 1
Self-citationRemembrance of infections past
Stacy, A. (2022) · Science · doi:10.1126/science.abq6054
Self-citationImpact of the gut microbiome on human health and diseases
Banik, S. P., Sehgal, S., Ghosh, R. B., & Das, A. (2022) · Elsevier eBooks · doi:10.1016/b978-0-12-822238-6.00026-1 · Cited by 1
Tiburcio, Á. Z. (2022) · Gastroenterology Medicine & Research · doi:10.31031/gmr.2022.07.000658
Regulation and Effect of Taurine on Metabolism
Miyazaki, T., Ito, T., Baseggio Conrado, A., & Murakami, S. (2023) · MDPI eBooks · doi:10.3390/books978-3-0365-6874-4
Uhlig, F., & Grundy, D. (2023) · Springer eBooks · doi:10.1007/978-3-031-25702-5_12
Mikrobiom und metabolisches Syndrom – ein Henne-Ei-Problem?
Hild, B. (2023) · Die Innere Medizin · doi:10.1007/s00108-023-01531-z
Self-citationWhat is microbial dysbiosis and how does it impact human health?
Good, D. A., & Allen‐Vercoe, E. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-98338-9.00004-9
Shen, S., Zhao, S., Shan, J., & Ren, Q. (2023) · Research Square · doi:10.21203/rs.3.rs-3066333/v1
Ho, K. M., & Harahsheh, Y. (2024) · Anesthesiology and Perioperative Science · doi:10.1007/s44254-024-00055-5
Additional file 2 of Sensing and avoiding sick conspecifics requires Gαi2+ vomeronasal neurons
Weiss, J., Vacher, H., Trouillet, A., Leinders‐Zufall, T., Zufall, F., & Chamero, P. (2023) · Figshare · doi:10.6084/m9.figshare.23651437
Taurine is a Natural Host Cytoadhesion Inhibitor in Asymptomatic Malaria CasesPreprint
Diffendall, G., Millot, P., Chen, P. B., Fogang, B., Dorin, D., Aprahamian, F., Durand, S., Gamain, B., Claessens, A., & Scherf, A. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.07.06.663375
Zhao, Y., Mei, X., Liu, Q., Yang, D., & Wang, Z. (2025) · Fish & Shellfish Immunology · doi:10.1016/j.fsi.2025.110873
Foley, S. E., Tuohy, C. A., Dunford, M., Grey, M. J., Luca, H. E. D., Cawley, C., Szabady, R. L., Maldonado‐Contreras, A., Houghton, J. M., Ward, D. V., et al. (2021) · Figshare · doi:10.6084/m9.figshare.16584270
Additional file 1 of Sensing and avoiding sick conspecifics requires Gαi2+ vomeronasal neurons
Weiss, J., Vacher, H., Trouillet, A., Leinders‐Zufall, T., Zufall, F., & Chamero, P. (2023) · Figshare · doi:10.6084/m9.figshare.23651434
Advances in microbial sulfoquinovose catabolism
Chen, Y., Liu, D., Chu, R., Li, Z., Zhang, Y., Ma, K., Jiang, L., Yang, Q., Lu, F., Zhang, Y., et al. (2026) · Frontiers in Microbiology · doi:10.3389/fmicb.2026.1758990
Ricci, M. F., Cruz, C. S., de Almeida, V. M., Auriol, M. D., Rocha, V. M., Machado, E. C., Gallotti, B., Vieira, I. G., Faria, A. M. C., Cassali, G. D., et al. (2026) · Gut Microbes Reports · doi:10.1080/29933935.2026.2625617
Chen, J., Fan, Z., Li, Y., Duan, R., & Gao, B. (2026) · iScience · doi:10.1016/j.isci.2026.115490
The therapeutic landscape and underlying mechanisms of taurine in colorectal cancer
Zheng, Y., Liu, H., Liu, X., & He, W. (2026) · Cancer Letters · doi:10.1016/j.canlet.2026.218480
Fang, H., Naveed, M., LIU, H., Atta, A., Du, Y., Li, W., & Li, M. (2026) · Biochimica et Biophysica Acta (BBA) - General Subjects · doi:10.1016/j.bbagen.2026.130952
Adler, N. A., Antelo, G. T., Dujovne, M. V., Rondón, J. J., Le, M. T., Giedroc, D. P., Peinetti, A. S., & Capdevila, D. A. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.05.02.721436
Li, R., Pan, Z., Wang, N., Zhang, S., Geng, X., Yu, Y., Shi, J., 刘存飞, Jin, C., Shang, L., et al. (2026) · Frontiers in Microbiology · doi:10.3389/fmicb.2026.1820773
Chen, T., Xiao, J., Li, S., Peng, R., Xu, Y., Zhuang, Y., Zhao, X., Sha, M., Wang, J., Ma, J., et al. (2026) · Microbiome · doi:10.1186/s40168-026-02446-1
Xiao, C., Jiang, S., Guo, Z., Ho, P., Dai, J., Cao, H., & Yang, Z. (2026) · Microbial Genomics · doi:10.1099/mgen.0.001749
Jiang, H., Mo, F., Pan, Z., Wang, C., & Cui, Y. (2026) · Journal of Thermal Biology · doi:10.1016/j.jtherbio.2026.104556
Preidis, G. A., Berčík, P., Marette, A., O’Mahony, L., Sperandio, V., & Quigley, E. M. M. (2026) · Gut Microbes · doi:10.1080/19490976.2026.2728828
Dynamics of Gut Microbial Community and Function in Growing Male Raccoon Dogs
Yu, S., Nan, W., Xu, C., Sun, L., Yuan, C., & Li, Z. (2026) · Animals · doi:10.3390/ani16203238
Ecological Editing: Decoupling Microbial Signals from Metabolic Noise to Reprogram the Gut Ecosystem
He, Y., Zhu, X., Huang, Z., Yang, X., & Yi, B. (2026) · Microorganisms · doi:10.3390/microorganisms14102410
Gheblawi, M., Khoramjoo, M., Elaish, M., Wang, K., Puttagunta, L., Wang, F., Zhabyeyev, P., Ogando, N. S., Basu, R., Zhang, A., et al. (2026) · JACC Basic to Translational Science · doi:10.1016/j.jacbts.2026.101691
Zhou, J.-A., Tu, J., Yue, J., Zhang, Q.-E., Chen, Y., Fan, Q., Ma, J., Zuo, Y., Liu, N.-N., Cheng, J., et al. (2026) · Immunity · doi:10.1016/j.immuni.2026.10.004
Metadata
- Authors
- Stacy, A., Andrade-Oliveira, V., McCulloch, J. A., Hild, B., Oh, J. H., Perez-Chaparro, P. J., Sim, C. K., Lim, A. I., Link, V. M., Enamorado, M., Trinchieri, G., Segre, J. A., Rehermann, B., & Belkaid, Y.
- Affiliations
- National Institutes of Health (US)
- Corresponding author
- Stacy, Apollo
- Belkaid, Yasmine
- ORCID
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2021-02
- Volume
- 184
- Issue
- 3
- Pages
- 615-627.e17
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC8786454
- OpenAlex
- W3118956265
- Cited by
- 239
- References
- 70
- Citations by year
- 2026: 27 · 2025: 37 · 2024: 38 · 2023: 56 · 2022: 46 · 2021: 35
- FWCI
- 13.74
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Servier
- National Institute of General Medical Sciences (1FI2GM128736-01)
- National Cancer Institute
- Human Frontier Science Program (LT000191/2018)
- Cancer Research Institute
- University of California, Los Angeles
- College of Engineering, University of Wisconsin-Madison
- Deutsche Forschungsgemeinschaft (HI 2088/1-1)
- National Institute of Allergy and Infectious Diseases (1ZIAAI001115-11)
- National Institutes of Health
- National Human Genome Research Institute (1ZIAHG000180-19)
- National Institute of Diabetes and Digestive and Kidney Diseases (1ZIADK054508-22)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Medicine › Infectious Diseases › Clostridium difficile and Clostridium perfringens research
- Health Sciences › Medicine › Oncology › Drug Transport and Resistance Mechanisms
- Keywords
- gut microbiota, colonization resistance, taurine, bile acid metabolism, sulfide, host-pathogen interaction, host defense against infection
- MeSH terms
- Gastrointestinal Microbiome, Animals, Bacterial Infections, Immunity, Mice, Inbred C57BL, Sulfides, Taurine, Colony Count, Microbial, Mice, Host-Pathogen Interactions
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