Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Advertisement

Communications Biology
  • View all journals
  • Search
  • My Account Login
  • Content Explore content
  • About the journal
  • Publish with us
  • Sign up for alerts
  • RSS feed
  1. nature
  2. communications biology
  3. articles
  4. article
Amelioration of colitis through restored gut ecology using Christensenella intestinihominis AF73-05CM02 as a probiotic in mice
Download PDF
Download PDF
  • Article
  • Open access
  • Published: 14 April 2026

Amelioration of colitis through restored gut ecology using Christensenella intestinihominis AF73-05CM02 as a probiotic in mice

  • Zhinan Wu  (吴智楠)  ORCID: orcid.org/0009-0001-8772-89981,2 na1,
  • Xiaofan Sun  (孙孝帆)2,3 na1,
  • Xiaofang Li  (李晓芳)2,
  • Haoyu Wang  (王浩宇)1,2,5,
  • Hewei Liang  (梁何伟)2,
  • Mengmeng Wang  (王萌萌)1,2,
  • Zizhen Yang  (杨子臻)5,
  • Kunyi Zhao  (赵坤易)5,
  • Ningning He  (何宁宁)5,
  • Liang Xiao  (肖亮)6,
  • Lijuan Ren  (任力娟)7,8,
  • Yang Sun  (孙杨)9,
  • Shangyong Li  (李尚勇)5 &
  • …
  • Yuanqiang Zou  (邹远强)  ORCID: orcid.org/0000-0003-2380-264X2,4 

Communications Biology , Article number:  (2026) Cite this article

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Gastroenterology
  • Microbiology

Abstract

Inflammatory bowel disease (IBD), including ulcerative colitis (UC) and Crohn’s disease (CD), is closely linked to gut microbial imbalance marked by loss of beneficial microbes and overgrowth of pathogens. Christensenella intestinihominis, a bacterium that associated with intestinal homeostasis, is depleted in patients with ulcerative colitis (UC), yet its therapeutic potential against this disease remains to be elucidated. Here we demonstrate that C. intestinihominis AF73-05CM02, a strain isolated from Chinese individual, alleviates colitis. In healthy human gut, C. intestinihominis co-occurs with beneficial microbes in strongly connected networks, while these interactions are disrupted in UC. We employ the dextran sulfate sodium (DSS)-induced murine colitis model, a widely recognized preclinical model for investigating intestinal inflammation. In this model, oral gavage with AF73-05CM02 mitigates weight loss, ameliorates colonic injury, improves intestinal health markers, and reverses colon damage. It exerts these effects by reducing harmful bacteria such as Helicobacter species and increasing beneficial taxa like Akkermansia, while enhancing the intestinal epithelial barrier integrity and regulating immune responses. These findings indicate AF73-05CM02 may aid in the treatment of inflammatory bowel disease by restoring a healthy gut microbial community.

Similar content being viewed by others

Integrative analysis of single-cell RNA-seq and gut microbiome metabarcoding data elucidates macrophage dysfunction in mice with DSS-induced ulcerative colitis

Article Open access 15 June 2024

The effects of candidate probiotic strains on the gut environment in dextran sulfate sodium-induced colitis mouse

Article Open access 01 July 2025

Identification of gut microbial species linked with disease variability in a widely used mouse model of colitis

Article Open access 01 April 2022

Data availability

The data that support the findings of this study have been deposited into CNSA52 with accession number CNP0004539. Raw data for each graph is included in Supplementary Data File. All other data are available from the corresponding author on reasonable request.

References

  1. Singh, S., Dulai, P. S., Zarrinpar, A., Ramamoorthy, S. & Sandborn, W. J. Obesity in IBD: epidemiology, pathogenesis, disease course and treatment outcomes. Nat. Rev. Gastroenterol. Hepatol. 14, 110–121 (2017).

    Google Scholar 

  2. Adams, A. et al. Early management of acute severe UC in the biologics era: development and international validation of a prognostic clinical index to predict steroid response. Gut 72, 433–442 (2023).

    Google Scholar 

  3. Dai, C., Dong, Z. Y., Wang, Y. N., Huang, Y. H. & Jiang, M. Development and validation of a nomogram to predict non-response to 5-aminosalicylic acid in patients with ulcerative colitis. Rev. Esp. Enferm. Dig. 116, 124–131 (2024).

    Google Scholar 

  4. Cordero, R. Y. et al. Trans-ancestry, Bayesian meta-analysis discovers 20 novel risk loci for inflammatory bowel disease in an African American, East Asian and European cohort. Hum. Mol. Genet 32, 873–882 (2023).

    Google Scholar 

  5. Sugihara, K. & Kamada, N. Metabolic network of the gut microbiota in inflammatory bowel disease. Inflamm. Regen. 44, 11 (2024).

    Google Scholar 

  6. Morotomi, M., Nagai, F. & Watanabe, Y. Description of Christensenella minuta gen. nov., sp. nov., isolated from human faeces, which forms a distinct branch in the order Clostridiales, and proposal of Christensenellaceae fam. nov. Int J. Syst. Evol. Microbiol 62, 144–149 (2012).

    Google Scholar 

  7. Braun, T. et al. Individualized Dynamics in the Gut Microbiota Precede Crohn’s Disease Flares. Am. J. Gastroenterol. 114, 1142–1151 (2019).

    Google Scholar 

  8. Loh, G. & Blaut, M. Role of commensal gut bacteria in inflammatory bowel diseases. Gut Microbes 3, 544–555 (2012).

    Google Scholar 

  9. Zuo, T. & Ng, S. C. The Gut Microbiota in the Pathogenesis and Therapeutics of Inflammatory Bowel Disease. Front Microbiol 9, 2247 (2018).

    Google Scholar 

  10. Waters, J. L. & Ley, R. E. The human gut bacteria Christensenellaceae are widespread, heritable, and associated with health. BMC Biol. 17, 83 (2019).

    Google Scholar 

  11. Relizani, K. et al. Selection of a novel strain of Christensenella minuta as a future biotherapy for Crohn’s disease. Sci. Rep. 12, 6017 (2022).

    Google Scholar 

  12. Ignatyeva, O. et al. Christensenella minuta, a new candidate next-generation probiotic: current evidence and future trajectories. Front Microbiol 14, 1241259 (2023).

    Google Scholar 

  13. Ang, W. S. et al. A Keystone Gut Bacterium Christensenella minuta-A Potential Biotherapeutic Agent for Obesity and Associated Metabolic Diseases. Foods 12, https://doi.org/10.3390/foods12132485 (2023).

  14. Kropp, C. et al. The Keystone commensal bacterium Christensenella minuta DSM 22607 displays anti-inflammatory properties both in vitro and in vivo. Sci. Rep. 11, 11494 (2021).

    Google Scholar 

  15. Hong, H. H. et al. Multiomics Integration Reveals Microbial Gene Interactions Shaping Host Responses in a DSS-Induced Colitis Mouse Model. J. Microbiol Biotechnol. 35, e2507010 (2025).

    Google Scholar 

  16. Hodgkiss, R. & Acharjee, A. Unravelling metabolite-microbiome interactions in inflammatory bowel disease through AI and interaction-based modelling. Biochim Biophys. Acta Mol. Basis Dis. 1871, 167618 (2025).

    Google Scholar 

  17. Ji, H. et al. Prebiotics empower probiotics with gastrointestinal stress resistance for colon-targeted release to synergistically alleviate colitis. J. Control Release 380, 297–316 (2025).

    Google Scholar 

  18. Zhao, X. et al. Inflammatory Microenvironment-Responsive Microsphere Vehicles Modulating Gut Microbiota and Intestinal Inflammation for Intestinal Stem Cell Niche Remodeling in Inflammatory Bowel Disease. ACS Nano 19, 12063–12079 (2025).

    Google Scholar 

  19. Jiang, J. et al. Synergistic Genetic and Chemical Engineering of Probiotics for Enhanced Intestinal Microbiota Regulation and Ulcerative Colitis Treatment. Adv. Mater. 37, e2417050 (2025).

    Google Scholar 

  20. Barry, D., Thachuk, C. & Trink, J. Integrating gut microbiome and host transcriptomics for the personalized management of IBD. Epigenomics. 17, 1503–1512 (2025).

  21. Banerjee, S., Schlaeppi, K. & van der Heijden, M. G. A. Keystone taxa as drivers of microbiome structure and functioning. Nat. Rev. Microbiol 16, 567–576 (2018).

    Google Scholar 

  22. Shannon, C. E. The mathematical theory of communication. 1963. MD Comput 14, 306–317 (1997).

    Google Scholar 

  23. Gower, J. C. Some Distance Properties of Latent Root and Vector Methods Used in Multivariate Analysis. Biometrika 53, 325–338 (1966).

    Google Scholar 

  24. Torres, P. J. et al. Gut Microbial Diversity in Women With Polycystic Ovary Syndrome Correlates With Hyperandrogenism. J. Clin. Endocrinol. Metab. 103, 1502–1511 (2018).

    Google Scholar 

  25. Bray, J. R. & Curtis, J. T. An Ordination of the Upland Forest Communities of Southern Wisconsin. Ecol. Monogr. 27, 326–349 (1957).

    Google Scholar 

  26. Kers, J. G. & Saccenti, E. The Power of Microbiome Studies: Some Considerations on Which Alpha and Beta Metrics to Use and How to Report Results. Front Microbiol 12, 796025 (2021).

    Google Scholar 

  27. Anderson, M. J. A new method for non-parametric multivariate analysis of variance. Austral. Ecology 26, 32–46, (2001).

  28. Hu, Y. J. & Satten, G. A. A rarefaction-without-resampling extension of PERMANOVA for testing presence-absence associations in the microbiome. Bioinformatics 38, 3689–3697 (2022).

    Google Scholar 

  29. Segata, N. et al. Metagenomic biomarker discovery and explanation. Genome Biol. 12, R60 (2011).

    Google Scholar 

  30. Fabbrini, M., Scicchitano, D., Candela, M., Turroni, S. & Rampelli, S. Connect the dots: sketching out microbiome interactions through networking approaches. Microbiome Res Rep. 2, 25 (2023).

    Google Scholar 

  31. Herren, C. M. & McMahon, K. D. Cohesion: a method for quantifying the connectivity of microbial communities. ISME J. 11, 2426–2438 (2017).

    Google Scholar 

  32. Olesen, J. M., Bascompte, J., Dupont, Y. L. & Jordano, P. The modularity of pollination networks. Proc. Natl. Acad. Sci. USA 104, 19891–19896 (2007).

    Google Scholar 

  33. Ohkusa, T. Production of experimental ulcerative colitis in hamsters by dextran sulfate sodium and changes in intestinal microflora]. Nihon Shokakibyo Gakkai Zasshi 82, 1327–1336 (1985).

    Google Scholar 

  34. Pelaseyed, T. et al. The mucus and mucins of the goblet cells and enterocytes provide the first defense line of the gastrointestinal tract and interact with the immune system. Immunol. Rev. 260, 8–20 (2014).

    Google Scholar 

  35. Odenwald, M. A. & Turner, J. R. The intestinal epithelial barrier: a therapeutic target? Nat. Rev. Gastroenterol. Hepatol. 14, 9–21 (2017).

    Google Scholar 

  36. Panwar, S., Sharma, S. & Tripathi, P. Role of Barrier Integrity and Dysfunctions in Maintaining the Healthy Gut and Their Health Outcomes. Front Physiol. 12, 715611 (2021).

    Google Scholar 

  37. Szandruk-Bender, M. et al. The Improvement of Intestinal Mucosal Epithelial Barrier Integrity by 1,3,4-Oxadiazole Derivatives of Pyrrolo[3,4-d]pyridazinone in Rat Experimental Colitis. J. Inflamm. Res 18, 9735–9753 (2025).

    Google Scholar 

  38. Peterson, L. W. & Artis, D. Intestinal epithelial cells: regulators of barrier function and immune homeostasis. Nat. Rev. Immunol. 14, 141–153 (2014).

    Google Scholar 

  39. Blondel, V. D., Guillaume, J.-L., Lambiotte, R. & Lefebvre, E. Fast unfolding of communities in large networks. J. Stat. Mech.: Theory Exp. 2008, P10008 (2008).

    Google Scholar 

  40. Signorino, G. et al. Role of Toll-like receptor 13 in innate immune recognition of group B streptococci. Infect. Immun. 82, 5013–5022 (2014).

    Google Scholar 

  41. Bucker, R. et al. alpha-Haemolysin of Escherichia coli in IBD: a potentiator of inflammatory activity in the colon. Gut 63, 1893–1901 (2014).

    Google Scholar 

  42. Lieberman, J. Granzyme A activates another way to die. Immunol. Rev. 235, 93–104 (2010).

    Google Scholar 

  43. Russo, I., Bubacco, L. & Greggio, E. LRRK2 as a target for modulating immune system responses. Neurobiol. Dis. 169, 105724 (2022).

    Google Scholar 

  44. Cabezudo, D., Tsafaras, G., Van Acker, E., Van den Haute, C. & Baekelandt, V. Mutant LRRK2 exacerbates immune response and neurodegeneration in a chronic model of experimental colitis. Acta Neuropathol. 146, 245–261 (2023).

    Google Scholar 

  45. Kanehisa, M. & Goto, S. KEGG: kyoto encyclopedia of genes and genomes. Nucleic Acids Res 28, 27–30 (2000).

    Google Scholar 

  46. Jablonska, B. & Mrowiec, S. Nutritional Status and Its Detection in Patients with Inflammatory Bowel Diseases. Nutrients 15, https://doi.org/10.3390/nu15081991 (2023).

  47. Kropp, C. et al. Christensenella minuta protects and restores intestinal barrier in a colitis mouse model by regulating inflammation. NPJ Biofilms Microbiomes 10, 88 (2024).

    Google Scholar 

  48. Yang, C. & Merlin, D. Unveiling Colitis: A Journey through the Dextran Sodium Sulfate-induced Model. Inflamm. Bowel Dis. 30, 844–853 (2024).

    Google Scholar 

  49. Chichlowski, M., Sharp, J. M., Vanderford, D. A., Myles, M. H. & Hale, L. P. Helicobacter typhlonius and Helicobacter rodentium differentially affect the severity of colon inflammation and inflammation-associated neoplasia in IL10-deficient mice. Comp. Med 58, 534–541 (2008).

    Google Scholar 

  50. Elzinga, J. et al. Binding of Akkermansia muciniphila to mucin is O-glycan specific. Nat. Commun. 15, 4582 (2024).

    Google Scholar 

  51. Huang, L. et al. 5-Aminosalicylic acid ameliorates dextran sulfate sodium-induced colitis in mice by modulating gut microbiota and bile acid metabolism. Cell Mol. Life Sci. 79, 460 (2022).

    Google Scholar 

  52. Wang, W. et al. The China National GeneBank Sequence Archive (CNSA) 2024 update. Hortic. Res 12, uhaf036 (2025).

    Google Scholar 

  53. Wood, D. E., Lu, J. & Langmead, B. Improved metagenomic analysis with Kraken 2. Genome Biol. 20, 257 (2019).

    Google Scholar 

  54. Lin, X. et al. The genomic landscape of reference genomes of cultivated human gut bacteria. Nat. Commun. 14, 1663 (2023).

    Google Scholar 

  55. Kurtz, Z. D. et al. Sparse and compositionally robust inference of microbial ecological networks. PLoS Comput Biol. 11, e1004226 (2015).

    Google Scholar 

  56. Meinshausen, N. & Bühlmann, P. High-Dimensional Graphs and Variable Selection with the Lasso. Ann. Stat. 34, 1436–1462 (2006).

    Google Scholar 

  57. Liu, H., Roeder, K. & Wasserman, L. Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models. Adv. Neural Inf. Process Syst. 24, 1432–1440 (2010).

    Google Scholar 

  58. Zou, Y. et al. Taxonomic Description and Genome Sequence of Christensenella intestinihominis sp. nov., a Novel Cholesterol-Lowering Bacterium Isolated From Human Gut. Front Microbiol 12, 632361 (2021).

    Google Scholar 

  59. He, N. et al. Stachyose Exerts Anticolitis Efficacy by Re-balancing Treg/Th17 and Activating the Butyrate-Derived PPARgamma Signaling Pathway. J. Agric Food Chem. 72, 12171–12183 (2024).

    Google Scholar 

  60. Chen, S., Zhou, Y., Chen, Y. & Gu, J. fastp: an ultra-fast all-in-one FASTQ preprocessor. Bioinformatics 34, i884–i890 (2018).

    Google Scholar 

  61. Langmead, B. & Salzberg, S. L. Fast gapped-read alignment with Bowtie 2. Nat. Methods 9, 357–359 (2012).

    Google Scholar 

  62. Li, H. et al. Diet Diversity Is Associated with Beta but not Alpha Diversity of Pika Gut Microbiota. Front Microbiol 7, 1169 (2016).

    Google Scholar 

  63. Giorgi, F. M., Ceraolo, C. & Mercatelli, D. The R Language: An Engine for Bioinformatics and Data Science. Life (Basel) 12, https://doi.org/10.3390/life12050648 (2022).

  64. Khleborodova, A. et al. lefser: implementation of metagenomic biomarker discovery tool, LEfSe, in R. Bioinformatics 40, https://doi.org/10.1093/bioinformatics/btae707 (2024).

  65. Cantalapiedra, C. P., Hernandez-Plaza, A., Letunic, I., Bork, P. & Huerta-Cepas, J. eggNOG-mapper v2: Functional Annotation, Orthology Assignments, and Domain Prediction at the Metagenomic Scale. Mol. Biol. Evol. 38, 5825–5829 (2021).

    Google Scholar 

  66. Wagner, G. P., Kin, K. & Lynch, V. J. Measurement of mRNA abundance using RNA-seq data: RPKM measure is inconsistent among samples. Theory Biosci. 131, 281–285 (2012).

    Google Scholar 

  67. Beghini, F. et al. Integrating taxonomic, functional, and strain-level profiling of diverse microbial communities with bioBakery 3. Elife 10, https://doi.org/10.7554/eLife.65088 (2021).

  68. Mitteer, D. R., Greer, B. D., Fisher, W. W. & Cohrs, V. L. Teaching behavior technicians to create publication-quality, single-case design graphs in graphpad prism 7. J. Appl Behav. Anal. 51, 998–1010 (2018).

    Google Scholar 

Download references

Acknowledgements

This work was financially supported by the grants from the National Natural Science Foundation of China (No. 82460112), the National Key R&D Program of China (No. 2024YFA1308300), the Innovative Team Program of Yunnan Province (No. 202305AS350019), and the Shenzhen Municipal Government of China (Project No. JCYJ20241202124801003).

Author information

Author notes
  1. These authors contributed equally: Zhinan Wu, Xiaofan Sun.

Authors and Affiliations

  1. College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China

    Zhinan Wu  (吴智楠), Haoyu Wang  (王浩宇) & Mengmeng Wang  (王萌萌)

  2. State Key Laboratory of Genome and Multi-omics Technologies, BGI Research, Shenzhen, China

    Zhinan Wu  (吴智楠), Xiaofan Sun  (孙孝帆), Xiaofang Li  (李晓芳), Haoyu Wang  (王浩宇), Hewei Liang  (梁何伟), Mengmeng Wang  (王萌萌) & Yuanqiang Zou  (邹远强)

  3. College of Life Sciences, Northeast Forestry University, Harbin, China

    Xiaofan Sun  (孙孝帆)

  4. Shenzhen Key Laboratory of Human commensal microorganisms and Health Research, BGI Research, Shenzhen, China

    Yuanqiang Zou  (邹远强)

  5. School of Basic Medicine, Qingdao Medical College, Qingdao University, Qingdao, China

    Haoyu Wang  (王浩宇), Zizhen Yang  (杨子臻), Kunyi Zhao  (赵坤易), Ningning He  (何宁宁) & Shangyong Li  (李尚勇)

  6. BGI Precision Nutrition (Shenzhen) Technology Co. Ltd, Shenzhen, China

    Liang Xiao  (肖亮)

  7. Collaborative Innovation Center for Molecular Imaging of Precision Medicine, Shanxi Medical University, Taiyuan, China

    Lijuan Ren  (任力娟)

  8. Department of Urology, The First Hospital of Shanxi Medical University, Taiyuan, China

    Lijuan Ren  (任力娟)

  9. Yunnan Geriatric Medical Center, Department of Geriatrics, The First Affiliated Hospital of Kunming Medical University, Yunnan, China

    Yang Sun  (孙杨)

Authors
  1. Zhinan Wu  (吴智楠)
    View author publications

    Search author on:PubMed Google Scholar

  2. Xiaofan Sun  (孙孝帆)
    View author publications

    Search author on:PubMed Google Scholar

  3. Xiaofang Li  (李晓芳)
    View author publications

    Search author on:PubMed Google Scholar

  4. Haoyu Wang  (王浩宇)
    View author publications

    Search author on:PubMed Google Scholar

  5. Hewei Liang  (梁何伟)
    View author publications

    Search author on:PubMed Google Scholar

  6. Mengmeng Wang  (王萌萌)
    View author publications

    Search author on:PubMed Google Scholar

  7. Zizhen Yang  (杨子臻)
    View author publications

    Search author on:PubMed Google Scholar

  8. Kunyi Zhao  (赵坤易)
    View author publications

    Search author on:PubMed Google Scholar

  9. Ningning He  (何宁宁)
    View author publications

    Search author on:PubMed Google Scholar

  10. Liang Xiao  (肖亮)
    View author publications

    Search author on:PubMed Google Scholar

  11. Lijuan Ren  (任力娟)
    View author publications

    Search author on:PubMed Google Scholar

  12. Yang Sun  (孙杨)
    View author publications

    Search author on:PubMed Google Scholar

  13. Shangyong Li  (李尚勇)
    View author publications

    Search author on:PubMed Google Scholar

  14. Yuanqiang Zou  (邹远强)
    View author publications

    Search author on:PubMed Google Scholar

Contributions

Conceptualization: Y.Q.Z., S.Y.L., and Y.S.; Methodology: Y.Q.Z., S.Y.L., and Y.S.,and X.L.; Investigation: Z.N.W., X.F.S., X.F.L., H.Y.W., H.W.L., M.M.W, Z.Z.Y., K.Y.Z., N.N.H., and L.J.R.; Funding acquisition: Y.Q.Z., and Y.S.; Project administration: Y.Q.Z.; Writing: all authors contribute to writing the manuscript.

Corresponding authors

Correspondence to Yang Sun  (孙杨), Shangyong Li  (李尚勇) or Yuanqiang Zou  (邹远强).

Ethics declarations

Competing interests

The authors declare no competing interests.

Peer review

Peer review information

Communications Biology thanks the anonymous reviewers for their contribution to the peer review of this work. Primary Handling Editors: Sridhar Mani and Tobias Goris.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Supplementary information (download PDF )

Description of Additional Supplementary files (download PDF )

Supplementary Data 1 (download XLSX )

Supplementary Data 2 (download XLSX )

Supplementary Data 3 (download XLSX )

Supplementary Data 4 (download XLSX )

Supplementary Data 5 (download XLSX )

Reporting Summary (download PDF )

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, 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 licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wu, Z., Sun, X., Li, X. et al. Amelioration of colitis through restored gut ecology using Christensenella intestinihominis AF73-05CM02 as a probiotic in mice. Commun Biol (2026). https://doi.org/10.1038/s42003-026-10031-3

Download citation

  • Received: 15 October 2025

  • Accepted: 30 March 2026

  • Published: 14 April 2026

  • DOI: https://doi.org/10.1038/s42003-026-10031-3

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

Download PDF

Advertisement

Explore content

  • Research articles
  • Reviews & Analysis
  • News & Comment
  • Collections
  • Follow us on X
  • Sign up for alerts
  • RSS feed

About the journal

  • Journal Information
  • Open Access Fees and Funding
  • Journal Metrics
  • Editors
  • Editorial Board
  • Calls for Papers
  • Referees
  • Contact
  • Editorial policies
  • Aims & Scope

Publish with us

  • For authors
  • Language editing services
  • Open access funding
  • Submit manuscript

Search

Advanced search

Quick links

  • Explore articles by subject
  • Find a job
  • Guide to authors
  • Editorial policies

Communications Biology (Commun Biol)

ISSN 2399-3642 (online)

nature.com footer links

About Nature Portfolio

  • About us
  • Press releases
  • Press office
  • Contact us

Discover content

  • Journals A-Z
  • Articles by subject
  • protocols.io
  • Nature Index

Publishing policies

  • Nature portfolio policies
  • Open access

Author & Researcher services

  • Reprints & permissions
  • Research data
  • Language editing
  • Scientific editing
  • Nature Masterclasses
  • Research Solutions

Libraries & institutions

  • Librarian service & tools
  • Librarian portal
  • Open research
  • Recommend to library

Advertising & partnerships

  • Advertising
  • Partnerships & Services
  • Media kits
  • Branded content

Professional development

  • Nature Awards
  • Nature Careers
  • Nature Conferences

Regional websites

  • Nature Africa
  • Nature China
  • Nature India
  • Nature Japan
  • Nature Middle East
  • Privacy Policy
  • Use of cookies
  • Legal notice
  • Accessibility statement
  • Terms & Conditions
  • Your US state privacy rights
Springer Nature

© 2026 Springer Nature Limited

Nature Briefing Microbiology

Sign up for the Nature Briefing: Microbiology newsletter — what matters in microbiology research, free to your inbox weekly.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing: Microbiology