Data availability
All data generated during this study are available within the article. The 16S rRNA sequencing data have been deposited in the BioProject database (ID PRJNA1335836) and made publicly available before publication. The relevant DNA sequences, materials and detailed information of reagents are provided in Supplementary Tables 1–5. Source data are provided with this paper.
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Acknowledgements
This study was supported by the Congressionally Directed Medical Research Programs Peer Reviewed Cancer Research Program Idea Award (W81XWH-21-1-0324) (J.L.), Swim Across America Young Investigator Award (J.L.), the National Institute of Health Office of the Director (1DP2GM154019-01) (J.L.) and National Cancer Institute (R01CA299955 and R01CA303150) (J.L.). We thank C. Jobin from the University of Florida for providing the NC101 and NC101Δpks strains, and J.-P. Nougayrède at the France’s National Research Institute for Agriculture, Food and Environment and E. Oswald at Toulouse University for sending DH10B pBAC and DH10B pBAC-pks strains. We thank the ULAM Pathology Core, the Rogel Cancer Center and Translational Tissue Modeling Laboratory at the University of Michigan, Ann Arbor. We express our gratitude to G. Rong in the Institute for Chemical Imaging of Living Systems at Northeastern University for providing the confocal microscope equipment and relevant training, Z. Ge from MIT and Y. Li from SunVax mRNA Therapeutics for helpful and substantial suggestions. We want to thank P.-T. Dong and L. Cen from ADA-Forsyth for help with bacterial imaging. We are grateful to K. Buscher and S. Solanki from the Shah laboratory and other members of the Li lab at the University of Michigan, for their expert assistance with immunostaining and tissue histology.
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Competing interests
R.R. has a sponsored research agreement with CRISPR Therapeutics and Skyline Therapeutics and serves on the scientific advisory board of Glycostem Therapeutics. R.R. is a co-founder of InnDura Therapeutics. J.L. received sponsored research agreements from Eco Animal Health and Ningbo Menovo Pharmaceutical Co. The University of Michigan has filed a provisional patent related to this study. The other authors declare no competing interests.
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Extended data
Extended Data Fig. 1 Schematic of protecting intestinal epithelial cells from the genotoxic effects of pks+ bacteria by repurposing a toxin-anti-toxin mechanism in colibactin-producing pks+ bacteria.
Certain enteric bacteria carry a polyketide synthase (pks) island coding for colibactin. Colibactin can translocate to the nucleus of epithelial cells and induce DNA damage (that is, genotoxicity) and potential tumorigenesis. However, these pks+ bacteria express an intracellular resistance protein, ClbS, to cope with colibactin-induced self-DNA damage. Inspired by this toxin-anti-toxin mechanism, we develop a strategy to prevent colibactin-mediated DNA damage and tumorigenesis induced by pks+ bacteria through the bacterial surface display of E. coli ClbS, and its homolog proteins in different commensal E. coli strains (for example, K-12, Nissle and NGF-1). Figure created with BioRender.com.
Extended Data Fig. 2 EcOmpA-ClbS is superior to D-serine, a small molecular inhibitor for colibactin biosynthesis, in suppressing genotoxicity induced by various pks+ E. coli.
a, a schematic of the coculture setup. b, D-serine failed to reduce the genotoxicity by DH10B pBAC-pks in HeLa cells while EcOmpA-ClbS completely suppressed the genotoxicity. c, EcOmpA-ClbS suppressed host DNA damage induce by pks+ E. coli (NC101, MIT A2 and MIT A21) and outperformed the inhibitory effect from D-serine (10 mM). D-serine was included in the exponentially growing phase of pks+ E. coli isolates as well as in the coculture with HeLa cells. The MOI is 20. Figures show representative data from three independent biological replicates (b, c). Two-sided unpaired t-test (b, c). Data are means ± SD (n = 3, b, c). Panel a created with BioRender.com.
Extended Data Fig. 3 Surface display of ClbS in two pks+ E. coli chassis strains lower their intrinsic genotoxicity while exhibiting anti-colibactin activities against other pks+ bacteria.
a, flow cytometry analysis of DNA damage in Hela cells infected with EcN/EcN Δpks and NGF-1/NGF-1 Δpks. The MOI is 50. b, representative flow cytometry histogram for the surface display levels of OmpA-ClbS and OmpA alone in EcN and NGF-1. c, a schematic of bacteria-HeLa coculture. d, surface display of ClbS in two pks+ E. coli chassis strains lower their intrinsic genotoxicity while exhibiting anti-colibactin activities against other pks+ bacteria. Figures show representative data from three independent biological replicates (a, d). The MOI for NC101 or NC101Δpks is 20. The MOI for EcNOmpA-ClbS, EcNOmpA, NGF-1OmpA-ClbS or NGF-1OmpA is 400. Two-sided unpaired t-test (a, d). Data are means ± SD (a, d). Panel c created with BioRender.com.
Extended Data Fig. 4 Representative images of immunofluorescence staining of colonic epithelial cell types and colibactin-induced DNA damage in mice.
Immunofluorescence staining was performed on colon tissues from the NC101/EcOmpA group, which exhibited the highest DNA damage. E-cadherin for colonocytes, MUC2 for goblet cells, lysozyme for Paneth cells, chromogranin A for enteroendocrine cells and γH2AX for cells with DNA damage. Scale bar = 20 µm. Figures show representative data from two independent biological replicates.
Extended Data Fig. 5 NC101 can induce tumorigenesis in a colitis-associated mouse colorectal cancer model (DSS/ApcMin/+).
a, timeline for the DSS/ApcMin/+ mice treated with pks+ or NC101Δpks. ApcMin/+ mice were pretreated with 2 g/L streptomycin in drinking water for three days for bacterial colonization, followed by 2% DSS in water for one week to induce colitis. Next, the mice were infected with NC101 or the isogenic mutant Δpks (108 CFU/mouse) weekly for three weeks. b, Representative tumours in the colon on day 28 and quantification of colonic tumor counts (n = 5 mice per treatment group). Figures show representative data from two independent biological replicates (b, c). Unpaired t-test, two sided. c, body weight changes over the course of different treatments. Data are means ± SEM (b, c). Panel a created with BioRender.com.
Extended Data Fig. 6 Evaluation of EcOmpA-ClbS to target pks+ C. koseri in vitro and in vivo.
To test whether our engineered EcOmpA-ClbS strain can neutralize colibactin-induced damage from non–E. coli sources, we assessed its protective activity against Citrobacter koseri ATCC BAA-895, a taxonomically distinct pks⁺ bacterium. a, Genotoxic indexes of HeLa cells cocultured with C. koseri and EcOmpA-ClbS or EcOmpA for 4 hr (n = 3 technical repeats, N = 2 biological replicates). The MOI of C. koseri and HeLa cells is 50. The MOI of EcOmpA-ClbS or EcOmpA and HeLa is 400. b, Timeline for the DSS/ApcMin/+ mice treated with C. koseri in combination with EcOmpA-ClbS or EcOmpA. c, Representative tumors in the colon on day 28 and quantification of colonic tumor counts. (n = 5 mice per treatment group). d, Representative image of H&E-stained colon Swiss roll sections. Scale bar: 800 μm (whole Swiss roll section); 50 μm (zoomed-in section). Data are means ± SD using two-sided unpaired t test (a, c). Panel b created with BioRender.com.
Extended Data Fig. 7 Landscape of microbiota composition and diversity in mice treated with NC101, NC101/EcOmpA or NC101/EcOmpA-ClbS.
a, Alpha diversity indices (Chao1 index and Shannon index) at days 11 and 28. In box plots, the bounds of the box indicate the 25th–75th percentiles, the center line indicates the median, and whiskers extend from the minimum to the maximum values. b, Principal coordinates analysis (PCoA) plots based on Bray–Curtis dissimilarity and unweighted UniFrac showing distinct clustering of fecal microbiota composition among NC101, NC101/OmpA-ClbS, and NC101/OmpA groups at days 14 and 28 (n = 5 per group). Percent variation explained by each axis is indicated. c, stacked bar plots of the top 10 bacterial families in fecal microbiota at days 14 and 28. d, relative abundance (%) of Enterobacteriaceae (family level) and Escherichia-Shigella (genus level) of fecal microbiota in different groups at days 11 and 28. Figures show representative data from one independent biological replicate (a, d). Data are presented as mean ± S.D. Statistical significance was determined by Kruskal–Wallis test (two sided) with original false discovery rate (FDR) multiple-comparison correction of Benjamini and Hochberg (a, d) separately in two different time points (Days 11 and 28).
Supplementary information
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Yang, S., Wang, Z., Fang, C. et al. Surface expression of antitoxin on engineered bacteria neutralizes genotoxic colibactin in the gut. Nat Microbiol (2025). https://doi.org/10.1038/s41564-025-02177-3
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DOI: https://doi.org/10.1038/s41564-025-02177-3
