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Harnessing a germ‑free mouse gut bioreactor for directed evolution of probiotics to combat non-alcoholic fatty liver disease
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  • Published: 24 February 2026

Harnessing a germ‑free mouse gut bioreactor for directed evolution of probiotics to combat non-alcoholic fatty liver disease

  • Zhe Han1,2 na1,
  • Zheng Sun  ORCID: orcid.org/0000-0002-8537-85763 na1,
  • Xinlei Liu1,2,
  • Dongyu Zhen1,2,
  • Quan Guo  ORCID: orcid.org/0000-0002-0615-73111,2,
  • Leijie Zheng1,2,
  • Shuaiming Jiang1,2,
  • Zeng Zhang1,2,
  • Siyuan Shen1,2 &
  • …
  • Jiachao Zhang  ORCID: orcid.org/0000-0001-8099-67491,2 

Nature Communications , 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

  • Bacterial evolution
  • Bacterial genetics
  • Microbiome

Abstract

Directed evolution has transformed biomolecular engineering but remains largely untapped for probiotic optimization, despite its immense promise for human health maintenance and disease therapy. Here, we present an in vivo, host-mediated directed-evolution platform that harnesses the gut’s endogenous selective pressures to drive functional enhancement of probiotics. Using Bifidobacterium animalis subsp. lactis as a model, we expose germ-free male mice to stepwise increases in bile-acid stress via a high-fat, high-cholesterol diet. Compared to in vitro evolution, which fails to produce any functional gains, our host-mediated approach yields a variant exhibiting a 77% increase in bile acid metabolism. Multi-omics analysis identifies two critical single-nucleotide variants (SNVs) simultaneously: one in the upstream region of cbh, encoding bile salt hydrolase, and a non-synonymous mutation in mdr, a bile-acid efflux transporter. Functional validation assays confirm that these mutations drive increased corresponding gene expression and enhance substrate binding efficiency. Moreover, to demonstrate its translational potential, we administer the parental and adapted strains daily in a male diet-induced mouse model of non-alcoholic fatty liver disease (NAFLD). We find that the adapted strain significantly improves bile-acid homeostasis, reduces hepatic steatosis, lowers inflammatory and lipid biomarkers, and enhances histological liver health compared to the parental strain. Our work establishes the host gut as a living evolutionary bioreactor for precision engineering of probiotics, enabling targeted phenotypic enhancement in vivo through natural selection. This framework paves the way for personalized, functionally tailored microbiome therapeutics and sets a foundation for next-generation live biotherapeutic agents.

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Data availability

All the data that support the findings of this study are available within the paper and its Supplementary Data. All third-generation long-read, whole-genome resequencing, transcriptomic (RNA-seq), and metagenomic sequencing data generated in this study have been deposited in the NCBI database under the following BioProject accession numbers: PRJNA1281804, PRJNA1281807, PRJNA1380636, PRJNA1281849, and PRJNA1283298. Metagenomic data for sample H22B656-6 are not obtained due to DNA extraction failure. The predicted structures of the wild-type protein and the N192D mutant have been deposited in Figshare (https://doi.org/10.6084/m9.figshare.31272826). Targeted metabolomics data for bile acids are available in the MetaboLights database under identifier MTBLS13718. Source data are provided with this paper.

References

  1. Beck-Sickinger, A. G. Directed evolution in drug and antibody development: From the Nobel Prize to broad clinical application]. Internist 60, 1014–1020 (2019).

    Google Scholar 

  2. Scott, B. M. et al. Self-tunable engineered yeast probiotics for the treatment of inflammatory bowel disease. Nat. Med. 27, 1212–1222 (2021).

    Google Scholar 

  3. Karpinski, J. et al. Directed evolution of a recombinase that excises the provirus of most HIV-1 primary isolates with high specificity. Nat. Biotechnol. 34, 401–409 (2016).

    Google Scholar 

  4. Chatterjee, R. & Yuan, L. Directed evolution of metabolic pathways. Trends Biotechnol. 24, 28–38 (2006).

    Google Scholar 

  5. Phaneuf, P. V., Gosting, D., Palsson, B. O. & Feist, A. M. ALEdb 1.0: a database of mutations from adaptive laboratory evolution experimentation. Nucleic Acids Res. 47, D1164–D1171 (2019).

    Google Scholar 

  6. Bennett, A. F. & Hughes, B. S. Microbial experimental evolution. Am. J. Physiol. Regul. Integr. Comp. Physiol. 297, R17–R25 (2009).

    Google Scholar 

  7. Sandberg, T. E., Salazar, M. J., Weng, L. L., Palsson, B. O. & Feist, A. M. The emergence of adaptive laboratory evolution as an efficient tool for biological discovery and industrial biotechnology. Metab. Eng. 56, 1–16 (2019).

    Google Scholar 

  8. Shalem, O. et al. Genome-scale CRISPR-Cas9 knockout screening in human cells. Science 343, 84–87 (2014).

    Google Scholar 

  9. Gu, H. et al. Physiological mechanism of improved tolerance of Saccharomyces cerevisiae to lignin-derived phenolic acids in lignocellulosic ethanol fermentation by short-term adaptation. Biotechnol. Biofuels 12, 268 (2019).

    Google Scholar 

  10. Li, J. et al. Biofortified tomatoes provide a new route to vitamin D sufficiency. Nat. Plants 8, 611–616 (2022).

    Google Scholar 

  11. Zhang, J. et al. Probiotics maintain the intestinal microbiome homeostasis of the sailors during a long sea voyage. Gut Microbes 11, 930–943 (2020).

    Google Scholar 

  12. Trager, C. et al. A probiotic approach identifies a Treg-centred immunoregulation via modulation of gut microbiota metabolites in people with multiple sclerosis and healthy individuals. EBioMedicine 116, 105743 (2025).

    Google Scholar 

  13. Murray, E. et al. Probiotic consumption during puberty mitigates LPS-induced immune responses and protects against stress-induced depression- and anxiety-like behaviors in adulthood in a sex-specific manner. Brain Behav. Immun. 81, 198–212 (2019).

    Google Scholar 

  14. Zhang, J. P. et al. High-throughput screening of probiotics in fermented foods and their potential application in alleviating alcohol-induced damage. Food Funct. 16, 2564–2576 (2025).

    Google Scholar 

  15. Keshri, J. et al. Phenotypic characterization and draft genome sequence analyses of two novel endospore-forming sporosarcina spp. isolated from Canada Goose (Branta canadensis) feces. Microorganisms 12, 70 (2023).

  16. Zhang, C. et al. A key genetic factor governing arabinan utilization in the gut microbiome alleviates constipation. Cell Host Microbe 31, 1989–2006 e1988 (2023).

    Google Scholar 

  17. Fletcher, E. et al. Evolutionary engineering reveals divergent paths when yeast is adapted to different acidic environments. Metab. Eng. 39, 19–28 (2017).

    Google Scholar 

  18. Tilloy, V., Ortiz-Julien, A. & Dequin, S. Reduction of ethanol yield and improvement of glycerol formation by adaptive evolution of the wine yeast Saccharomyces cerevisiae under hyperosmotic conditions. Appl. Environ. Microbiol. 80, 2623–2632 (2014).

    Google Scholar 

  19. Baym, M. et al. Spatiotemporal microbial evolution on antibiotic landscapes. Science 353, 1147–1151 (2016).

    Google Scholar 

  20. Pan, C. et al. Ameba-inspired strategy enhances probiotic efficacy via prebound nutrient supply. Nat. Commun. 16, 1827 (2025).

    Google Scholar 

  21. Chang, Z. et al. Bacterial immunotherapy leveraging IL-10R hysteresis for both phagocytosis evasion and tumor immunity revitalization. Cell 188, 1842–1857.e1820 (2025).

    Google Scholar 

  22. Lee, J. S. et al. E. coli genetically modified for purine nucleobase release promotes butyrate generation and colonic wound healing during DSS insult. Gut Microbes 17, 2490211 (2025).

    Google Scholar 

  23. Charbonneau, M. R., Isabella, V. M., Li, N. & Kurtz, C. B. Developing a new class of engineered live bacterial therapeutics to treat human diseases. Nat. Commun. 11, 1738 (2020).

    Google Scholar 

  24. Ford, S. A. & King, K. C. In vivo microbial coevolution favors host protection and plastic downregulation of immunity. Mol. Biol. Evol. 38, 1330–1338 (2021).

    Google Scholar 

  25. Huang, S. et al. Candidate probiotic Lactiplantibacillus plantarum HNU082 rapidly and convergently evolves within human, mice, and zebrafish gut but differentially influences the resident microbiome. Microbiome 9, 151 (2021).

    Google Scholar 

  26. Zhao, S. et al. Adaptive evolution within gut microbiomes of healthy people. Cell Host Microbe 25, 656–667.e658 (2019).

    Google Scholar 

  27. Li, W. et al. Comparative genomics of in vitro and in vivo evolution of probiotics reveals energy restriction not the main evolution driving force in short term. Genomics 113, 3373–3380 (2021).

    Google Scholar 

  28. Aydin, O. et al. An integrated analysis of bile acid metabolism in humans with severe obesity. Hepatology 81, 19–31 (2025).

    Google Scholar 

  29. Kim, T. Y. et al. A high-fat diet activates the BAs-FXR axis and triggers cancer-associated fibroblast properties in the colon. Cell Mol. Gastroenterol. Hepatol. 13, 1141–1159 (2022).

    Google Scholar 

  30. Olm, M. R. et al. inStrain profiles population microdiversity from metagenomic data and sensitively detects shared microbial strains. Nat. Biotechnol. 39, 727–736 (2021).

    Google Scholar 

  31. Danecek, P. et al. Twelve years of SAMtools and BCFtools. Gigascience 10, giab008 (2021).

  32. Knight, J. C. Functional implications of genetic variation in non-coding DNA for disease susceptibility and gene regulation. Clin. Sci. 104, 493–501 (2003).

    Google Scholar 

  33. Bustos, A. Y., Font de Valdez, G., Fadda, S. & Taranto, M. P. New insights into bacterial bile resistance mechanisms: the role of bile salt hydrolase and its impact on human health. Food Res. Int. 112, 250–262 (2018).

    Google Scholar 

  34. Funabashi, M. et al. A metabolic pathway for bile acid dehydroxylation by the gut microbiome. Nature 582, 566–570 (2020).

    Google Scholar 

  35. Gueimonde, M., Garrigues, C., van Sinderen, D., de los Reyes-Gavilan, C. G. & Margolles, A. Bile-inducible efflux transporter from Bifidobacterium longum NCC2705, conferring bile resistance. Appl. Environ. Microbiol. 75, 3153–3160 (2009).

    Google Scholar 

  36. Smirnova, E. et al. Metabolic reprogramming of the intestinal microbiome with functional bile acid changes underlie the development of NAFLD. Hepatology 76, 1811–1824 (2022).

    Google Scholar 

  37. Pfeifer, E., Gatgens, C., Polen, T. & Frunzke, J. Adaptive laboratory evolution of Corynebacterium glutamicum towards higher growth rates on glucose minimal medium. Sci. Rep. 7, 16780 (2017).

    Google Scholar 

  38. Wannier, T. M. et al. Adaptive evolution of genomically recoded Escherichia coli. Proc. Natl. Acad. Sci. USA 115, 3090–3095 (2018).

    Google Scholar 

  39. Yu, T. et al. Reprogramming Yeast Metabolism from Alcoholic Fermentation to Lipogenesis. Cell 174, 1549–1558.e1514 (2018).

    Google Scholar 

  40. Li, X., Pei, G., Liu, L., Chen, L. & Zhang, W. Metabolomic analysis and lipid accumulation in a glucose tolerant Crypthecodinium cohnii strain obtained by adaptive laboratory evolution. Bioresour. Technol. 235, 87–95 (2017).

    Google Scholar 

  41. Li, J. et al. Advances in adaptive laboratory evolutionary engineering to microbial breeding. Sheng Wu Gong. Cheng Xue Bao 37, 130–141 (2021).

    Google Scholar 

  42. Jian, X. et al. Microbial microdroplet culture system (MMC): An integrated platform for automated, high-throughput microbial cultivation and adaptive evolution. Biotechnol. Bioeng. 117, 1724–1737 (2020).

    Google Scholar 

  43. Tenaillon, O. et al. The molecular diversity of adaptive convergence. Science 335, 457–461 (2012).

    Google Scholar 

  44. Vento, J. M., Crook, N. & Beisel, C. L. Barriers to genome editing with CRISPR in bacteria. J. Ind. Microbiol. Biotechnol. 46, 1327–1341 (2019).

    Google Scholar 

  45. Nethery, M. A., Hidalgo-Cantabrana, C., Roberts, A. & Barrangou, R. CRISPR-based engineering of phages for in situ bacterial base editing. Proc. Natl. Acad. Sci. USA 119, e2206744119 (2022).

    Google Scholar 

  46. Yan, Q. & Fong, S. S. Challenges and advances for genetic engineering of non-model bacteria and uses in consolidated bioprocessing. Front. Microbiol. 8, 2060 (2017).

    Google Scholar 

  47. Hong, W. et al. An inexpensive anaerobic chamber for the genetic manipulation of strictly anaerobic bacteria. Anaerobe 69, 102349 (2021).

    Google Scholar 

  48. Thompson, D. B. et al. The future of multiplexed eukaryotic genome engineering. ACS Chem. Biol. 13, 313–325 (2018).

    Google Scholar 

  49. Abdelrahman, M., Wei, Z., Rohila, J. S. & Zhao, K. Multiplex genome-editing technologies for revolutionizing plant biology and crop improvement. Front. Plant Sci. 12, 721203 (2021).

    Google Scholar 

  50. Jiang, S. et al. Gut microbiota drives structural variation of exogenous probiotics to enhance colonization. Gut Microbes 17, 2503371 (2025).

    Google Scholar 

  51. Barbaro, M. R. et al. Lactiplantibacillus plantarum (CECT7484 and CECT7485) and Pedioccoccus acidilactici (CECT7483) enhance actin cytoskeleton and CYP1A1 expression restoring epithelial permeability alterations induced by irritable bowel syndrome mediators. Gut Microbes 17, 2452235 (2025).

    Google Scholar 

  52. Ke, X. et al. Synbiotic-driven improvement of metabolic disturbances is associated with changes in the gut microbiome in diet-induced obese mice. Mol. Metab. 22, 96–109 (2019).

    Google Scholar 

  53. Haghikia, A. et al. Dietary fatty acids directly impact central nervous system autoimmunity via the small intestine. Immunity 43, 817–829 (2015).

    Google Scholar 

  54. Shen, S. et al. Understanding the “individual drug reaction” from the perspective of the interaction between probiotics and lovastatin in vitro and in vivo. Microbiome 11, 209 (2023).

    Google Scholar 

  55. Tanaka, H., Hashiba, H., Kok, J. & Mierau, I. Bile salt hydrolase of Bifidobacterium longum-biochemical and genetic characterization. Appl. Environ. Microbiol. 66, 2502–2512 (2000).

    Google Scholar 

  56. Koren, S. et al. Canu: scalable and accurate long-read assembly via adaptive k-mer weighting and repeat separation. Genome Res. 27, 722–736 (2017).

    Google Scholar 

  57. Li, H. Minimap2: pairwise alignment for nucleotide sequences. Bioinformatics 34, 3094–3100 (2018).

    Google Scholar 

  58. Vaser, R., Sovic, I., Nagarajan, N. & Sikic, M. Fast and accurate de novo genome assembly from long uncorrected reads. Genome Res. 27, 737–746 (2017).

    Google Scholar 

  59. Seemann, T. Prokka: rapid prokaryotic genome annotation. Bioinformatics 30, 2068–2069 (2014).

    Google Scholar 

  60. Moriya, Y., Itoh, M., Okuda, S., Yoshizawa, A. C. & Kanehisa, M. KAAS: an automatic genome annotation and pathway reconstruction server. Nucleic Acids Res. 35, W182–W185 (2007).

    Google Scholar 

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

    Google Scholar 

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

    Google Scholar 

  63. Quinlan, A. R. & Hall, I. M. BEDTools: a flexible suite of utilities for comparing genomic features. Bioinformatics 26, 841–842 (2010).

    Google Scholar 

  64. Patro, R., Duggal, G., Love, M. I., Irizarry, R. A. & Kingsford, C. Salmon provides fast and bias-aware quantification of transcript expression. Nat. Methods 14, 417–419 (2017).

    Google Scholar 

  65. Eberhardt, J., Santos-Martins, D., Tillack, A. F. & Forli, S. AutoDock Vina 1.2.0: new docking methods, expanded force field, and Python bindings. J. Chem. Inf. Model 61, 3891–3898 (2021).

    Google Scholar 

  66. Arab, J. P., Karpen, S. J., Dawson, P. A., Arrese, M. & Trauner, M. Bile acids and nonalcoholic fatty liver disease: Molecular insights and therapeutic perspectives. Hepatology 65, 350–362 (2017).

    Google Scholar 

  67. Blanco-Miguez, A. et al. Extending and improving metagenomic taxonomic profiling with uncharacterized species using MetaPhlAn 4. Nat. Biotechnol. 41, 1633–1644 (2023).

    Google Scholar 

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (No. 32525049) awarded to J.Z.

Author information

Author notes
  1. These authors contributed equally: Zhe Han, Zheng Sun.

Authors and Affiliations

  1. School of Food Science and Engineering, Key Laboratory of Food Nutrition and Functional Food of Hainan Province, Hainan University, Haikou, Hainan, China

    Zhe Han, Xinlei Liu, Dongyu Zhen, Quan Guo, Leijie Zheng, Shuaiming Jiang, Zeng Zhang, Siyuan Shen & Jiachao Zhang

  2. Collaborative Innovation Center of One Health, Hainan University, Haikou, Hainan, China

    Zhe Han, Xinlei Liu, Dongyu Zhen, Quan Guo, Leijie Zheng, Shuaiming Jiang, Zeng Zhang, Siyuan Shen & Jiachao Zhang

  3. Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA

    Zheng Sun

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Contributions

J.Z. and Z.S. conceptualized the research framework and formulated the experimental design. The experimental work and sample preparation were conducted by Z.H., X.L., D.Z., Q.G., L.Z., and S.S. Data analysis was performed by Z.H. in collaboration with Z.S. Z.H., Z.S., S.J., and Z.Z. contributed to figure preparation. The manuscript was drafted by Z.S. and Z.H., and J.Z. and Z.S. provided critical review and substantially refined the final version. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Zheng Sun or Jiachao Zhang.

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Nature Communications thanks Qi Wang, and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. A peer review file is available.

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Han, Z., Sun, Z., Liu, X. et al. Harnessing a germ‑free mouse gut bioreactor for directed evolution of probiotics to combat non-alcoholic fatty liver disease. Nat Commun (2026). https://doi.org/10.1038/s41467-026-69823-0

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  • Received: 14 August 2025

  • Accepted: 10 February 2026

  • Published: 24 February 2026

  • DOI: https://doi.org/10.1038/s41467-026-69823-0

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