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Pathology and viral evolutionary dynamics in a hamster model of persistent SARS-CoV-2 infection
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  • Published: 08 January 2026

Pathology and viral evolutionary dynamics in a hamster model of persistent SARS-CoV-2 infection

  • Wanting Wei1 na1,
  • Makoto Kuroda1 na1,
  • Yanan Liu2,
  • Shun Iida  ORCID: orcid.org/0000-0003-2258-90313,
  • Sangam Kandel  ORCID: orcid.org/0000-0002-2875-64621,
  • Heather Machovech1,
  • Yuichiro Hirata  ORCID: orcid.org/0009-0009-2503-10773,
  • Tadaki Suzuki  ORCID: orcid.org/0000-0002-3820-95423,4,
  • Katia Koelle  ORCID: orcid.org/0000-0002-0254-61415,
  • Zhongde Wang  ORCID: orcid.org/0000-0003-2441-47292,
  • Thomas C. Friedrich  ORCID: orcid.org/0000-0001-9831-68951,
  • Yoshihiro Kawaoka  ORCID: orcid.org/0000-0001-5061-82961,6,7 &
  • …
  • Peter J. Halfmann  ORCID: orcid.org/0000-0002-1648-16251 

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

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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.

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  • Pathogens
  • Virology

Abstract

SARS-CoV-2 infection typically resolves within weeks, but rare cases of prolonged replication—sometimes exceeding a year—have been documented, particularly in immunocompromised individuals. These persistent infections pose health risks and may give rise to highly divergent variants, yet the underlying biology remains poorly understood. Here, we describe a model of SARS-CoV-2 persistence using transgenic Syrian hamsters (males) lacking the interleukin-2 receptor gamma subunit (IL2rg). Infection with the XBB.1.16 variant led to efficient viral replication in respiratory tissues by two weeks after infection, with dissemination to other sites, including the intestinal tract. Viral titers remained high in multiple tissues at 100 days after infection. Longitudinal oral swab sequencing revealed dynamic shifts in intrahost single-nucleotide variant (iSNV) frequencies, with constellations of iSNVs rising and falling together, consistent with strong genetic linkage. Synonymous and nonsynonymous mutations accumulated at similar rates, suggesting genetic drift as the dominant evolutionary force. Tissue- and swab-derived sequences revealed extensive within-host diversity and hinted at tissue-specific evolutionary trajectories. This model enables detailed investigation of SARS-CoV-2 persistence and within-host viral evolution and provides a controlled system to study how long-term replication in tissue reservoirs may contribute to viral diversification.

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Data availability

All the sequences associated with this project have been deposited to NCBI BioProject PRJNA1382858. The source data behind the graphs in the paper can be found in Supplementary Data 1 and Supplementary Data 2. All other data supporting the conclusions of this study are available from the corresponding authors upon reasonable request.

References

  1. Cevik, M. et al. SARS-CoV-2, SARS-CoV, and MERS-CoV viral load dynamics, duration of viral shedding, and infectiousness: a systematic review and meta-analysis. Lancet Microbe 2, e13–e22 (2021).

    Google Scholar 

  2. Killingley, B. et al. Safety, tolerability and viral kinetics during SARS-CoV-2 human challenge in young adults. Nat. Med. 28, 1031–1041 (2022).

    Google Scholar 

  3. Ghafari, M. et al. High number of SARS-CoV-2 persistent infections uncovered through genetic analysis of samples from a large community-based surveillance study. bioRxiv https://doi.org/10.1101/2023.01.29.23285160 (2023).

  4. Machkovech, H. M. et al. Persistent SARS-CoV-2 infection: significance and implications. Lancet Infect. Dis. 24, e453–e462 (2024).

    Google Scholar 

  5. Raglow, Z. et al. SARS-CoV-2 shedding and evolution in patients who were immunocompromised during the omicron period: a multicentre, prospective analysis. Lancet Microbe 5, e235–e246 (2024).

    Google Scholar 

  6. Li, Y. et al. SARS-CoV-2 viral clearance and evolution varies by type and severity of immunodeficiency. Sci. Transl. Med. 16, eadk1599 (2024).

    Google Scholar 

  7. Markov, P. V. et al. The evolution of SARS-CoV-2. Nat. Rev. Microbiol. 21, 361–379 (2023).

    Google Scholar 

  8. Corey, L. et al. SARS-CoV-2 variants in patients with immunosuppression. N. Engl. J. Med. https://doi.org/10.1056/NEJMsb2104756 (2021).

  9. Halfmann, P. J. et al. Evolution of a globally unique SARS-CoV-2 Spike E484T monoclonal antibody escape mutation in a persistently infected, immunocompromised individual. Virus Evol. 9, veac104 (2022).

    Google Scholar 

  10. Chaguza, C. et al. Accelerated SARS-CoV-2 intrahost evolution leading to distinct genotypes during chronic infection. Cell Rep. Med. 4, 100943 (2023).

    Google Scholar 

  11. Cele, S. et al. SARS-CoV-2 prolonged infection during advanced HIV disease evolves extensive immune escape. Cell Host Microbe 30, 154–162.e5 (2022).

  12. Farjo, M. et al. Within-host evolutionary dynamics and tissue compartmentalization during acute SARS-CoV-2 infection. J. Virol. 98, e0161823 (2024).

    Google Scholar 

  13. Stein, S. R. et al. SARS-CoV-2 infection and persistence in the human body and brain at autopsy. Nature 612, 758–763 (2022).

    Google Scholar 

  14. Van Cleemput, J. et al. Organ-specific genome diversity of replication-competent SARS-CoV-2. Nat. Commun. 12, 1–11 (2021).

    Google Scholar 

  15. Proal, A. D. et al. SARS-CoV-2 reservoir in post-acute sequelae of COVID-19 (PASC). Nat. Immunol. 24, 1616–1627 (2023).

    Google Scholar 

  16. El Moussaoui, M. et al. Intrahost evolution leading to distinct lineages in the upper and lower respiratory tracts during SARS-CoV-2 prolonged infection. Virus Evol. 10, veae073 (2024).

    Google Scholar 

  17. Li, R. et al. Generation and characterization of an Il2rg knockout Syrian hamster model for XSCID and HAdV-C6 infection in immunocompromised patients. Dis. Models Mech. 13, dmm044602 (2020).

  18. Imai, M. et al. Syrian hamsters as a small animal model for SARS-CoV-2 infection and countermeasure development. Proc. Natl. Acad. Sci. USA. 117, 16587–16595 (2020).

    Google Scholar 

  19. Rosenke, K. et al. Defining the Syrian hamster as a highly susceptible preclinical model for SARS-CoV-2 infection. Emerg. Microbes Infect. 9, 2673–2684 (2020).

    Google Scholar 

  20. Giacomelli, A. et al. SARS-CoV-2 viremia and COVID-19 mortality: a prospective observational study. PLoS ONE 18, e0281052 (2023).

    Google Scholar 

  21. Braun, K. M. et al. Acute SARS-CoV-2 infections harbor limited within-host diversity and transmit via tight transmission bottlenecks. PLoS Pathog. 17, e1009849 (2021).

    Google Scholar 

  22. Grubaugh, N. D. et al. An amplicon-based sequencing framework for accurately measuring intrahost virus diversity using PrimalSeq and iVar. Genome Biol. 20, 8 (2019).

    Google Scholar 

  23. Tonkin-Hill, G. et al. Patterns of within-host genetic diversity in SARS-CoV-2. Elife 10, e66857 (2021).

    Google Scholar 

  24. Popa, A. et al. Genomic epidemiology of superspreading events in Austria reveals mutational dynamics and transmission properties of SARS-CoV-2. Sci. Transl. Med. 12, eabe2555 (2020).

  25. Simmonds, P. Rampant C→U Hypermutation in the genomes of SARS-CoV-2 and other coronaviruses: causes and consequences for their short- and long-term evolutionary trajectories. mSphere 5, e00408-20 (2020).

  26. McCrone, J. T. et al. Stochastic processes constrain the within and between host evolution of influenza virus. Elife 7, e35962 (2018).

    Google Scholar 

  27. VanInsberghe, D. et al. Genetic drift and purifying selection shape within-host influenza A virus populations during natural swine infections. PLoS Pathog. 20, e1012131 (2024).

    Google Scholar 

  28. Puhach, O., Meyer, B. & Eckerle, I. SARS-CoV-2 viral load and shedding kinetics. Nat. Rev. Microbiol. 21, 147–161 (2023).

    Google Scholar 

  29. Avanzato, V. A. et al. Case study: Prolonged infectious SARS-CoV-2 shedding from an asymptomatic immunocompromised individual with cancer. Cell 183, 1901–1912.e9 (2020).

    Google Scholar 

  30. Choi, B. et al. Persistence and evolution of SARS-CoV-2 in an immunocompromised host. N. Engl. J. Med. 383, 2291–2293 (2020).

    Google Scholar 

  31. Alshukairi, A. N. et al. Re-infection with a different SARS-CoV-2 clade and prolonged viral shedding in a hematopoietic stem cell transplantation patient. Int. J. Infect. Dis. 110, 267–271 (2021).

    Google Scholar 

  32. Jacobs, J. L. et al. Severe acute respiratory syndrome Coronavirus 2 viremia is associated with Coronavirus disease 2019 severity and predicts clinical outcomes. Clin. Infect. Dis. 74, 1525–1533 (2022).

    Google Scholar 

  33. Platt, A. et al. Replication-Competent Virus Detected in Blood of a Fatal COVID-19 Case. Ann. Int. Med. https://doi.org/10.7326/L23-0253 (2023).

  34. Puelles, V. G. et al. Multiorgan and renal tropism of SARS-CoV-2. N. Engl. J. Med. 383, 590–592 (2020).

    Google Scholar 

  35. Yao, X.-H. et al. A cohort autopsy study defines COVID-19 systemic pathogenesis. Cell Res. 31, 836–846 (2021).

    Google Scholar 

  36. Zanon, M. et al. Liver pathology in COVID-19 related death and leading role of autopsy in the pandemic. World J. Gastroenterol. 29, 200–220 (2023).

    Google Scholar 

  37. Wilkinson, S. A. J. et al. Recurrent SARS-CoV-2 mutations in immunodeficient patients. Virus Evol. 8, veac050 (2022).

    Google Scholar 

  38. Gupta, K. et al. Structural basis for cell-type specific evolution of viral fitness by SARS-CoV-2. Nat. Commun. 12, 222 (2022).

    Google Scholar 

  39. Lubinski, B. et al. Spike protein cleavage-activation in the context of the SARS-CoV-2 P681R mutation: an analysis from its first appearance in lineage A.23.1 identified in Uganda. Microbiol. Spectr. 10, e0151422 (2022).

    Google Scholar 

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Acknowledgements

This work was supported by the National Institutes of Health under Award Number R21AI164001 to Y.K., the Japan Agency for Medical Research and Development (AMED) under grant numbers JP24wm0125008, JP24fk0108637, JP25fk0108732, JP223fa627003, and JP243fa727002 to T.S. Funding was also through the University of Wisconsin–Madison to T.C.F. and P.J.H. and from Utah State University to Z.W. We thank Yuko Sato and Seiya Ozono for their technical assistance. We also thank Chase Nelson for his insight into virus evolution analysis and Sue Watson for editing the manuscript.

Author information

Author notes
  1. These authors contributed equally: Wanting Wei, Makoto Kuroda.

Authors and Affiliations

  1. Department of Pathobiological Sciences, University of Wisconsin-Madison, Madison, WI, USA

    Wanting Wei, Makoto Kuroda, Sangam Kandel, Heather Machovech, Thomas C. Friedrich, Yoshihiro Kawaoka & Peter J. Halfmann

  2. Department of Animal, Dairy, and Veterinary Sciences, College of Agriculture and Applied Sciences, Utah State University, Logan, UT, USA

    Yanan Liu & Zhongde Wang

  3. Department of Infectious Disease Pathology, National Institute of Infectious Diseases, Japan Institute for Health Security, Tokyo, Japan

    Shun Iida, Yuichiro Hirata & Tadaki Suzuki

  4. Department of Infectious Disease Pathobiology, Graduate School of Medicine, Chiba University, Chiba, Japan

    Tadaki Suzuki

  5. Department of Biology, Emory University, Atlanta, GA, USA

    Katia Koelle

  6. The Research Center for Global Viral Diseases, National Center for Global Health and Medicine Research Institute, Japan Institute for Health Security, Tokyo, Japan

    Yoshihiro Kawaoka

  7. Pandemic Preparedness, Infection and Advanced Research Center (UTOPIA), University of Tokyo, Tokyo, Japan

    Yoshihiro Kawaoka

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Contributions

Conceptualization: M.K., T.C.F., Y.K., and P.J.H. Methodology and data analysis: W.W., T.C.F., M.K., S.I., S.K., Y.H., and P.J.H. Investigation: W.W., M.K., S.I., S.K., Y.L., Y.H., and P.J.H. Visualization: W.W., M.K., S.I., Y.H., K.K., T.C.F., and P.J.H. Writing—original draft: W.W., H.M., K.K., T.C.F., and P.J.H. Writing—review and editing: W.W., M.K., S.I., S.K., Y.L., H.M., Y.H., T.S., Z.W., K.K., T.C.F., Y.K., and P.J.H.

Corresponding authors

Correspondence to Thomas C. Friedrich or Peter J. Halfmann.

Ethics declarations

Competing interests

Y.K. has received unrelated funding support from Daiichi Sankyo Pharmaceutical, Toyama Chemical, Tauns Laboratories, Inc., Shionogi & Co. Ltd, Otsuka Pharmaceutical, KM Biologics, Kyoritsu Seiyaku, Shinya Corporation, and Fuji Rebio. The other authors declare that they have no competing interests.

Peer review

Peer review information

Communications Biology thanks Connor Bamford and the other anonymous reviewer(s) for their contribution to the peer review of this work. Primary handling editors: Harry Taylor and Johannes Stortz.

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Supplementary information

Supplementary Information

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Supplementary Data 1

Supplementary Data 2

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Wei, W., Kuroda, M., Liu, Y. et al. Pathology and viral evolutionary dynamics in a hamster model of persistent SARS-CoV-2 infection. Commun Biol (2026). https://doi.org/10.1038/s42003-025-09473-y

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  • Received: 20 June 2025

  • Accepted: 19 December 2025

  • Published: 08 January 2026

  • DOI: https://doi.org/10.1038/s42003-025-09473-y

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