Abstract
The gut virome is a complex ecosystem characterized by the interplay of diverse viral entities, predominantly bacteriophages and eukaryotic viruses. The gut virome has a critical role in human health by shaping microbial community profiles, modulating host immunity and influencing metabolic processes. Different viral metagenomics approaches have revealed the remarkable diversity of the gut virome, showing individual-specific patterns that evolve over time and adapt dynamically to environmental factors. Perturbations in this community are increasingly associated with chronic immune and inflammatory conditions, metabolic disorders and neurological conditions, highlighting its potential as a diagnostic biomarker and therapeutic target. The early-life gut virome is particularly influential in establishing lifelong health trajectories through its interactions with diet, immune pathways and others, thereby contributing to inflammatory and metabolic regulation. This Review synthesizes current knowledge of gut virome composition, dynamics and functional relevance, critically evaluating evidence distinguishing causal from correlative roles in disease pathogenesis. The interactions of the virome with other microbiome components and host immunity are examined, and emerging translational applications, including phage therapy and biomarker development, are discussed. Integrating these insights while acknowledging methodological challenges provides a comprehensive framework for understanding the complex roles of the gut virome in health and disease.
Key points
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The gut virome, primarily composed of bacteriophages and eukaryotic viruses, substantially influences gut microbiota dynamics, immune responses and metabolic health.
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Next-generation methods and state-of-the-art bioinformatics tools have identified numerous newly characterized viral entities with potential associations to health and disease.
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Individual virome composition exhibits high variability, shaped by early-life exposures and sustained environmental interactions, and alterations in gut virome composition correlate with diverse diseases, including inflammatory bowel diseases, metabolic disorders, neurological conditions and cancer.
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Prophage induction, driven by environmental factors, profoundly influences microbial community structure and host immune responses.
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Therapeutic strategies such as phage therapy and faecal virome transplantation represent targeted approaches to restore gut microbial equilibrium.
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Addressing methodological biases and ‘viral dark matter’ is critical for elucidating the role of the gut virome in health and disease, as disease states are commonly linked to high prevalence uncharacterized viral entities.
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References
Zheludev, I. N. et al. Viroid-like colonists of human microbiomes. Cell 187, 6521–6536.e18 (2024).
Hoyles, L. et al. Characterization of virus-like particles associated with the human faecal and caecal microbiota. Res. Microbiol. 165, 803–812 (2014).
Shkoporov, A. N. & Hill, C. Bacteriophages of the human gut: the “known unknown” of the microbiome. Cell Host Microbe 25, 195–209 (2019).
Liang, G. & Bushman, F. D. The human virome: assembly, composition and host interactions. Nat. Rev. Microbiol. 19, 514–527 (2021).
Sausset, R., Petit, M. A., Gaboriau-Routhiau, V. & De Paepe, M. New insights into intestinal phages. Mucosal Immunol. 13, 205–215 (2020).
Turner, D. et al. Abolishment of morphology-based taxa and change to binomial species names: 2022 taxonomy update of the ICTV bacterial viruses subcommittee. Arch. Virol. 168, 74 (2023).
Sørensen, A. N., Woudstra, C., Sørensen, M. C. H. & Brøndsted, L. Subtypes of tail spike proteins predicts the host range of Ackermannviridae phages. Comput. Struct. Biotechnol. J. 19, 4854–4867 (2021).
Clooney, A. G. et al. Whole-virome analysis sheds light on viral dark matter in inflammatory bowel disease. Cell Host Microbe 26, 764–778.e5 (2019).
Krishnamurthy, S. R. & Wang, D. Origins and challenges of viral dark matter. Virus Res. 239, 136–142 (2017).
Sullivan, M. B. Viromes, not gene markers, for studying double-stranded DNA virus communities. J. Virol. 89, 2459–2461 (2015).
Aggarwala, V., Liang, G. & Bushman, F. D. Viral communities of the human gut: metagenomic analysis of composition and dynamics. Mob. DNA 8, 12 (2017).
Camarillo-Guerrero, L. F., Almeida, A., Rangel-Pineros, G., Finn, R. D. & Lawley, T. D. Massive expansion of human gut bacteriophage diversity. Cell 184, 1098–1109.e9 (2021).
Benler, S. et al. Thousands of previously unknown phages discovered in whole-community human gut metagenomes. Microbiome 9, 78 (2021).
Guerin, E. et al. Biology and taxonomy of crAss-like bacteriophages, the most abundant virus in the human gut. Cell Host Microbe 24, 653–664.e6 (2018).
Koonin, E. V. & Yutin, N. The crAss-like phage group: how metagenomics reshaped the human virome. Trends Microbiol. 28, 349–359 (2020).
Ramos-Barbero, M. D. et al. Characterization of crAss-like phage isolates highlights Crassvirales genetic heterogeneity and worldwide distribution. Nat. Commun. 14, 4295 (2023).
Dutilh, B. E. et al. A highly abundant bacteriophage discovered in the unknown sequences of human faecal metagenomes. Nat. Commun. 5, 4498 (2014).
Yutin, N. et al. Discovery of an expansive bacteriophage family that includes the most abundant viruses from the human gut. Nat. Microbiol. 3, 38–46 (2018).
Gulyaeva, A. et al. Discovery, diversity, and functional associations of crAss-like phages in human gut metagenomes from four Dutch cohorts. Cell Rep. 38, 110204 (2022).
Yutin, N. et al. Analysis of metagenome-assembled viral genomes from the human gut reveals diverse putative CrAss-like phages with unique genomic features. Nat. Commun. 12, 1044 (2021).
Siranosian, B. A., Tamburini, F. B., Sherlock, G. & Bhatt, A. S. Acquisition, transmission and strain diversity of human gut-colonizing crAss-like phages. Nat. Commun. 11, 280 (2020).
Remesh, A. T. & Viswanathan, R. CrAss-like phages: from discovery in human fecal metagenome to application as a microbial source tracking marker. Food Environ. Virol. 16, 121–135 (2024).
Cook, R. et al. Decoding huge phage diversity: a taxonomic classification of Lak megaphages. J. Gen. Virol. 105, 001997 (2024).
Devoto, A. E. et al. Megaphages infect Prevotella and variants are widespread in gut microbiomes. Nat. Microbiol. 4, 693–700 (2019).
De Filippo, C. et al. Impact of diet in shaping gut microbiota revealed by a comparative study in children from Europe and rural Africa. Proc. Natl Acad. Sci. USA 107, 14691–14696 (2010).
Yutin, N. et al. Varidnaviruses in the human gut: a major expansion of the order Vinavirales. Viruses 14, 1842 (2022).
Lecuit, M. & Eloit, M. in The Microbiota in Gastrointestinal Pathophysiology Ch. 21 (eds Floch, M. H., Ringel, Y. & Allan Walker, W.) 179–183 (Academic, 2017).
Garmaeva, S. et al. Stability of the human gut virome and effect of gluten-free diet. Cell Rep. 35, 109132 (2021).
Wylie, K. M. et al. Metagenomic analysis of double-stranded DNA viruses in healthy adults. BMC Biol. 12, 71 (2014).
Finkbeiner, S. R. et al. Metagenomic analysis of human diarrhea: viral detection and discovery. PLoS Pathog. 4, e1000011 (2008).
Duerkop, B. A. & Hooper, L. V. Resident viruses and their interactions with the immune system. Nat. Immunol. 14, 654–659 (2013).
Pyöriä, L. et al. Unmasking the tissue-resident eukaryotic DNA virome in humans. Nucleic Acids Res. 51, 3223–3239 (2023).
Zhang, T. et al. RNA viral community in human feces: prevalence of plant pathogenic viruses. PLoS Biol. 4, e3 (2005).
Medvedeva, S., Borrel, G., Krupovic, M. & Gribaldo, S. A compendium of viruses from methanogenic archaea reveals their diversity and adaptations to the gut environment. Nat. Microbiol. 8, 2170–2182 (2023).
Kosmopoulos, J. C., Klier, K. M., Langwig, M. V., Tran, P. Q. & Anantharaman, K. Viromes vs. mixed community metagenomes: choice of method dictates interpretation of viral community ecology. Microbiome 12, 195 (2024).
Marbouty, M., Thierry, A., Millot, G. A. & Koszul, R. MetaHiC phage-bacteria infection network reveals active cycling phages of the healthy human gut. eLife 10, e60608 (2021).
Roux, S. et al. iPHoP: an integrated machine learning framework to maximize host prediction for metagenome-derived viruses of archaea and bacteria. PLoS Biol. 21, e3002083 (2023).
Greenman, N., Hassouneh, S. A.-D., Abdelli, L. S., Johnston, C. & Azarian, T. Improving bacterial metagenomic research through long-read sequencing. Microorganisms 12, 935 (2024).
Nishijima, S. et al. Extensive gut virome variation and its associations with host and environmental factors in a population-level cohort. Nat. Commun. 13, 5252 (2022).
Ma, Y., You, X., Mai, G., Tokuyasu, T. & Liu, C. A human gut phage catalog correlates the gut phageome with type 2 diabetes. Microbiome 6, 24 (2018).
Soria-Villalba, A. et al. Comparison of experimental methodologies based on bulk-metagenome and virus-like particle enrichment: pros and cons for representativeness and reproducibility in the study of the fecal human virome. Microorganisms 12, 162 (2024).
Wylie, T. N., Wylie, K. M., Herter, B. N. & Storch, G. A. Enhanced virome sequencing using targeted sequence capture. Genome Res. 25, 1910–1920 (2015).
Cook, R. et al. Nanopore and Illumina sequencing reveal different viral populations from human gut samples. Microb. Genom. 10, 001236 (2024).
Andrade-Martínez, J. S. et al. Computational tools for the analysis of uncultivated phage genomes. Microbiol. Mol. Biol. Rev. 86, e00004-21 (2022).
Allen, L. Z. et al. Single virus genomics: a new tool for virus discovery. PLoS ONE 6, e17722 (2011).
Roux, S. et al. Minimum information about an uncultivated virus genome (MIUViG). Nat. Biotechnol. 37, 29–37 (2019).
Martínez Martínez, J., Martinez-Hernandez, F. & Martinez-Garcia, M. Single-virus genomics and beyond. Nat. Rev. Microbiol. 18, 705–716 (2020).
Martinez-Hernandez, F. et al. Single-virus genomics reveals hidden cosmopolitan and abundant viruses. Nat. Commun. 8, 15892 (2017).
Martínez, J. M., Swan, B. K. & Wilson, W. H. Marine viruses, a genetic reservoir revealed by targeted viromics. ISME J. 8, 1079–1088 (2014).
De la Cruz Peña, M. J. et al. Deciphering the human virome with single-virus genomics and metagenomics. Viruses 10, 113 (2018).
Stepanauskas, R. et al. Improved genome recovery and integrated cell-size analyses of individual uncultured microbial cells and viral particles. Nat. Commun. 8, 84 (2017).
Campbell, D. E. et al. Single cell viral tagging of Faecalibacterium prausnitzii reveals rare bacteriophages omitted by other techniques. Gut Microbes 17, 2526719 (2025).
Džunková, M. et al. Defining the human gut host–phage network through single-cell viral tagging. Nat. Microbiol. 4, 2192–2203 (2019).
Marbouty, M., Baudry, L., Cournac, A. & Koszul, R. Scaffolding bacterial genomes and probing host–virus interactions in gut microbiome by proximity ligation (chromosome capture) assay. Sci. Adv. 3, e1602105 (2017).
Ortiz de Ora, L. et al. Phollow reveals in situ phage transmission dynamics in the zebrafish gut microbiome at single-virion resolution. Nat. Microbiol. 10, 1067–1083 (2025).
Nayfach, S. et al. Metagenomic compendium of 189,680 DNA viruses from the human gut microbiome. Nat. Microbiol. 6, 960–970 (2021).
Wang, G. et al. Optimization and evaluation of viral metagenomic amplification and sequencing procedures toward a genome-level resolution of the human fecal DNA virome. J. Adv. Res. 48, 75–86 (2023).
Li, Y. et al. Biases and complementarity in gut viromes obtained from bulk and virus-like particle-enriched metagenomic sequencing. Microbiol. Spectr. 13, e0001325 (2025).
Brown-Jaque, M. et al. Detection of bacteriophage particles containing antibiotic resistance genes in the sputum of cystic fibrosis patients. Front. Microbiol. 9, 856 (2018).
Gómez-Gómez, C. et al. Infectious phage particles packaging antibiotic resistance genes found in meat products and chicken feces. Sci. Rep. 9, 13281 (2019).
Modi, S. R., Lee, H. H., Spina, C. S. & Collins, J. J. Antibiotic treatment expands the resistance reservoir and ecological network of the phage metagenome. Nature 499, 219–222 (2013).
Eichhorn, I. et al. Lysogenic conversion of atypical enteropathogenic Escherichia coli (aEPEC) from human, murine, and bovine origin with bacteriophage Φ3538 Δstx2::cat proves their enterohemorrhagic E. coli (EHEC) progeny. Int. J. Med. Microbiol. 308, 890–898 (2018).
Barr, J. J. et al. Bacteriophage adhering to mucus provide a non-host-derived immunity. Proc. Natl Acad. Sci. USA 110, 10771–10776 (2013).
Spus, M., Wardhana, Y. R., Wolkers-Rooijackers, J. C. M., Abee, T. & Smid, E. J. Lytic bacteriophages affect the population dynamics of multi-strain microbial communities. Microbiome Res. Rep. 2, 33 (2023).
Zuo, T. et al. Gut mucosal virome alterations in ulcerative colitis. Gut 68, 1169–1179 (2019).
Pal, C., Maciá, M. D., Oliver, A., Schachar, I. & Buckling, A. Coevolution with viruses drives the evolution of bacterial mutation rates. Nature 450, 1079–1081 (2007).
Hussain, F. A. et al. Rapid evolutionary turnover of mobile genetic elements drives bacterial resistance to phages. Science 374, 488–492 (2021).
Buckling, A. & Rainey, P. B. Antagonistic coevolution between a bacterium and a bacteriophage. Proc. R. Soc. Lond. B Biol. Sci. 269, 931–936 (2002).
Inglis, L. K., Roach, M. J. & Edwards, R. A. Prophages: an integral but understudied component of the human microbiome. Microb. Genom. 10, 001166 (2024).
Sinha, A., Qian, A., Boutin, T. & Maurice, C. F. Prophage induction contributes to alterations in the gut phageome during intestinal inflammation. Preprint at bioRxiv https://doi.org/10.1101/2024.12.03.626644 (2024).
Howard-Varona, C., Hargreaves, K. R., Abedon, S. T. & Sullivan, M. B. Lysogeny in nature: mechanisms, impact and ecology of temperate phages. ISME J. 11, 1511–1520 (2017).
Roughgarden, J. Lytic/Lysogenic transition as a life-history switch. Virus Evol. 10, veae028 (2024).
Sutcliffe, S. G., Shamash, M., Hynes, A. P. & Maurice, C. F. Common oral medications lead to prophage induction in bacterial isolates from the human gut. Viruses 13, 455 (2021).
Zhang, M., Zhang, T., Yu, M., Chen, Y.-L. & Jin, M. The life cycle transitions of temperate phages: regulating factors and potential ecological implications. Viruses 14, 1904 (2022).
Boeckaerts, D. et al. Predicting bacteriophage hosts based on sequences of annotated receptor-binding proteins. Sci. Rep. 11, 1467 (2021).
De Sordi, L., Khanna, V. & Debarbieux, L. The gut microbiota facilitates drifts in the genetic diversity and infectivity of bacterial viruses. Cell Host Microbe 22, 801–808.e3 (2017).
Le, S. et al. Mapping the tail fiber as the receptor binding protein responsible for differential host specificity of Pseudomonas aeruginosa bacteriophages PaP1 and JG004. PLoS ONE 8, e68562 (2013).
Latka, A. et al. Engineering the modular receptor-binding proteins of Klebsiella phages switches their capsule serotype specificity. mBio 12, e00455-21 (2021).
Chen, Y., Golding, I., Sawai, S., Guo, L. & Cox, E. C. Population fitness and the regulation of Escherichia coli genes by bacterial viruses. PLoS Biol. 3, e229 (2005).
Carey, J. N. et al. Phage integration alters the respiratory strategy of its host. eLife 8, e49081 (2019).
Johansson, M. E. V. et al. The inner of the two Muc2 mucin-dependent mucus layers in colon is devoid of bacteria. Proc. Natl Acad. Sci. USA 105, 15064–15069 (2008).
Barton, E. S. et al. Herpesvirus latency confers symbiotic protection from bacterial infection. Nature 447, 326–329 (2007).
Pott, J. et al. IFN-λ determines the intestinal epithelial antiviral host defense. Proc. Natl Acad. Sci. USA 108, 7944–7949 (2011).
Ingle, H. et al. Murine astrovirus tropism for goblet cells and enterocytes facilitates an IFN-λ response in vivo and in enteroid cultures. Mucosal Immunol. 14, 751–761 (2021).
Ingle, H. et al. IFN-λ derived from nonsusceptible enterocytes acts on tuft cells to limit persistent norovirus. Sci. Adv. 9, eadi2562 (2023).
Josefowicz, S. Z., Lu, L.-F. & Rudensky, A. Y. Regulatory T cells: mechanisms of differentiation and function. Annu. Rev. Immunol. 30, 531–564 (2012).
Fleming, A., Castro-Dopico, T. & Clatworthy, M. R. B cell class switching in intestinal immunity in health and disease. Scand. J. Immunol. 95, e13139 (2022).
Lisicka, W. et al. Immunoglobulin A controls intestinal virus colonization to preserve immune homeostasis. Cell Host Microbe 33, 498–511.e10 (2025).
Conrey, P. E. et al. IgA deficiency destabilizes homeostasis toward intestinal microbes and increases systemic immune dysregulation. Sci. Immunol. 8, eade2335 (2023).
Foxman, E. F. & Iwasaki, A. Genome–virome interactions: examining the role of common viral infections in complex disease. Nat. Rev. Microbiol. 9, 254–264 (2011).
Kernbauer, E., Ding, Y. & Cadwell, K. An enteric virus can replace the beneficial function of commensal bacteria. Nature 516, 94–98 (2014).
Hurst, T. P. & Magiorkinis, G. Activation of the innate immune response by endogenous retroviruses. J. Gen. Virol. 96, 1207–1218 (2015).
Park, J. et al. Short-chain fatty acids induce both effector and regulatory T cells by suppression of histone deacetylases and regulation of the mTOR–S6K pathway. Mucosal Immunol. 8, 80–93 (2015).
Almeida, G. M. F., Laanto, E., Ashrafi, R. & Sundberg, L.-R. Bacteriophage adherence to mucus mediates preventive protection against pathogenic bacteria. mBio 10, e01984-19 (2019).
Godsil, M., Ritz, N. L., Venkatesh, S. & Meeske, A. J. Gut phages and their interactions with bacterial and mammalian hosts. J. Bacteriol. 207, e0042824 (2025).
Gogokhia, L. et al. Expansion of bacteriophages is linked to aggravated intestinal inflammation and colitis. Cell Host Microbe 25, 285–299.e8 (2019).
Bomsel, M. & Alfsen, A. Entry of viruses through the epithelial barrier: pathogenic trickery. Nat. Rev. Mol. Cell Biol. 4, 57–68 (2003).
Nguyen, S. et al. Bacteriophage transcytosis provides a mechanism to cross epithelial cell layers. mBio 8, e01874-17 (2017).
Van Belleghem, J. D., Dąbrowska, K., Vaneechoutte, M., Barr, J. J. & Bollyky, P. L. Interactions between bacteriophage, bacteria, and the mammalian immune system. Viruses 11, 10 (2019).
Bello-Morales, R., Ripa, I. & López-Guerrero, J. A. Extracellular vesicles in viral spread and antiviral response. Viruses 12, 623 (2020).
Gregory, A. C. et al. The gut virome database reveals age-dependent patterns of virome diversity in the human gut. Cell Host Microbe 28, 724–740.e8 (2020).
Shkoporov, A. N. et al. The human gut virome is highly diverse, stable, and individual specific. Cell Host Microbe 26, 527–541.e5 (2019).
Trinh, J. T., Székely, T., Shao, Q., Balázsi, G. & Zeng, L. Cell fate decisions emerge as phages cooperate or compete inside their host. Nat. Commun. 8, 14341 (2017).
Sutcliffe, S. G., Reyes, A. & Maurice, C. F. Bacteriophages playing nice: lysogenic bacteriophage replication stable in the human gut microbiota. iScience 26, 106007 (2023).
Huang, D. et al. Adaptive strategies and ecological roles of phages in habitats under physicochemical stress. Trends Microbiol. 32, 902–916 (2024).
Johansen, J. et al. Centenarians have a diverse gut virome with the potential to modulate metabolism and promote healthy lifespan. Nat. Microbiol. 8, 1064–1078 (2023).
Sato, Y. et al. Novel bile acid biosynthetic pathways are enriched in the microbiome of centenarians. Nature 599, 458–464 (2021).
Huang, Y. et al. Mapping the early life gut microbiome in neonates with critical congenital heart disease: multiomics insights and implications for host metabolic and immunological health. Microbiome 10, 245 (2022).
Maqsood, R. et al. Discordant transmission of bacteria and viruses from mothers to babies at birth. Microbiome 7, 156 (2019).
Liang, G. et al. The stepwise assembly of the neonatal virome is modulated by breastfeeding. Nature 581, 470–474 (2020).
Walters, W. A. et al. Longitudinal comparison of the developing gut virome in infants and their mothers. Cell Host Microbe 31, 187–198.e3 (2023).
Garmaeva, S. et al. Transmission and dynamics of mother–infant gut viruses during pregnancy and early life. Nat. Commun. 15, 1945 (2024).
Lou, Y. C. et al. Infant gut DNA bacteriophage strain persistence during the first 3 years of life. Cell Host Microbe 32, 35–47.e6 (2024).
Lim, E. S. et al. Early life dynamics of the human gut virome and bacterial microbiome in infants. Nat. Med. 21, 1228–1234 (2015).
Kaelin, E. A. et al. Longitudinal gut virome analysis identifies specific viral signatures that precede necrotizing enterocolitis onset in preterm infants. Nat. Microbiol. 7, 653–662 (2022).
Olm, M. R. et al. Necrotizing enterocolitis is preceded by increased gut bacterial replication, Klebsiella, and fimbriae-encoding bacteria. Sci. Adv. 5, eaax5727 (2019).
Redgwell, T. A. et al. Prophages in the infant gut are pervasively induced and may modulate the functionality of their hosts. NPJ Biofilms Microbiomes 11, 46 (2025).
Leal Rodríguez, C. et al. The infant gut virome is associated with preschool asthma risk independently of bacteria. Nat. Med. 30, 138–148 (2024).
Coffey, M. J. et al. The intestinal virome in children with cystic fibrosis differs from healthy controls. PLoS ONE 15, e0233557 (2020).
Li, H. et al. Comparison of gut viral communities in children under 5 years old and newborns. Virol. J. 20, 52 (2023).
Muzammil, M. A. et al. Advancements in inflammatory bowel disease: a narrative review of diagnostics, management, epidemiology, prevalence, patient outcomes, quality of life, and clinical presentation. Cureus 15, e41120 (2023).
Fernandes, M. A. et al. Enteric virome and bacterial microbiota in children with ulcerative colitis and Crohn disease. J. Pediatr. Gastroenterol. Nutr. 68, 30–36 (2019).
Norman, J. M. et al. Disease-specific alterations in the enteric virome in inflammatory bowel disease. Cell 160, 447–460 (2015).
Kong, C., Liu, G., Kalady, M. F., Jin, T. & Ma, Y. Dysbiosis of the stool DNA and RNA virome in Crohn’s disease. J. Med. Virol. 95, e28573 (2023).
Cao, Z. et al. The gut ileal mucosal virome is disturbed in patients with Crohn’s disease and exacerbates intestinal inflammation in mice. Nat. Commun. 15, 1638 (2024).
Yan, A. et al. Multiomic spatial analysis reveals a distinct mucosa-associated virome. Gut Microbes 15, 2177488 (2023).
Stockdale, S. R. et al. Interpersonal variability of the human gut virome confounds disease signal detection in IBD. Commun. Biol. 6, 221 (2023).
Liang, G. et al. Dynamics of the stool virome in very early-onset inflammatory bowel disease. J. Crohns Colitis 14, 1600–1610 (2020).
Ungaro, F. et al. Metagenomic analysis of intestinal mucosa revealed a specific eukaryotic gut virome signature in early-diagnosed inflammatory bowel disease. Gut Microbes 10, 149–158 (2019).
Sinha, A. et al. Transplantation of bacteriophages from ulcerative colitis patients shifts the gut bacteriome and exacerbates the severity of DSS colitis. Microbiome 10, 105 (2022).
Tian, X. et al. Gut virome-wide association analysis identifies cross-population viral signatures for inflammatory bowel disease. Microbiome 12, 130 (2024).
Adiliaghdam, F. et al. Human enteric viruses autonomously shape inflammatory bowel disease phenotype through divergent innate immunomodulation. Sci. Immunol. 7, eabn6660 (2022).
Cervantes-Echeverría, M., Gallardo-Becerra, L., Cornejo-Granados, F. & Ochoa-Leyva, A. The two-faced role of crassphage subfamilies in obesity and metabolic syndrome: between good and evil. Genes 14, 139 (2023).
de Jonge, P. A. et al. Gut virome profiling identifies a widespread bacteriophage family associated with metabolic syndrome. Nat. Commun. 13, 3594 (2022).
Castells-Nobau, A. et al. Microviridae bacteriophages influence behavioural hallmarks of food addiction via tryptophan and tyrosine signalling pathways. Nat. Metab. 6, 2157–2186 (2024).
Yang, K. et al. Alterations in the gut virome in obesity and type 2 diabetes mellitus. Gastroenterology 161, 1257–1269.e13 (2021).
Zheng, P., Li, Z. & Zhou, Z. Gut microbiome in type 1 diabetes: a comprehensive review. Diabetes Metab. Res. Rev. 34, e3043 (2018).
Lang, S. et al. Intestinal virome signature associated with severity of nonalcoholic fatty liver disease. Gastroenterology 159, 1839–1852 (2020).
Jiang, L. et al. Intestinal virome in patients with alcoholic hepatitis. Hepatology 72, 2182–2196 (2020).
Li, G. et al. Exploring the relationship between the gut mucosal virome and colorectal cancer: characteristics and correlations. Cancers 15, 3555 (2023).
Nakatsu, G. et al. Alterations in enteric virome are associated with colorectal cancer and survival outcomes. Gastroenterology 155, 529–541.e5 (2018).
Luo, S. et al. Gut virome profiling identifies an association between temperate phages and colorectal cancer promoted by Helicobacter pylori infection. Gut Microbes 15, 2257291 (2023).
Emlet, C., Ruffin, M. & Lamendella, R. Enteric virome and carcinogenesis in the gut. Dig. Dis. Sci. 65, 852–864 (2020).
Broecker, F. & Moelling, K. The roles of the virome in cancer. Microorganisms 9, 2538 (2021).
Diard, M. et al. Inflammation boosts bacteriophage transfer between Salmonella spp. Science 355, 1211–1215 (2017).
Cornuault, J. K. et al. Phages infecting Faecalibacterium prausnitzii belong to novel viral genera that help to decipher intestinal viromes. Microbiome 6, 65 (2018).
Borin, J. M. et al. Fecal virome transplantation is sufficient to alter fecal microbiota and drive lean and obese body phenotypes in mice. Gut Microbes 15, 2236750 (2023).
Mao, X. et al. Transfer of modified gut viromes improves symptoms associated with metabolic syndrome in obese male mice. Nat. Commun. 15, 4704 (2024).
Sartor, R. B. & Wu, G. D. Roles for intestinal bacteria, viruses, and fungi in pathogenesis of inflammatory bowel diseases and therapeutic approaches. Gastroenterology 152, 327–339.e4 (2017).
Draper, L. A. et al. Autochthonous faecal viral transfer (FVT) impacts the murine microbiome after antibiotic perturbation. BMC Biol. 18, 173 (2020).
Rasmussen, T. S. et al. Fecal virome transfer improves proliferation of commensal gut Akkermansia muciniphila and unexpectedly enhances the fertility rate in laboratory mice. Gut Microbes 15, 2208504 (2023).
Federici, S. et al. Targeted suppression of human IBD-associated gut microbiota commensals by phage consortia for treatment of intestinal inflammation. Cell 185, 2879–2898.e24 (2022).
Dalmasso, M. et al. Three new Escherichia coli phages from the human gut show promising potential for phage therapy. PLoS ONE 11, e0156773 (2016).
Wandro, S. et al. Phage cocktails constrain the growth of Enterococcus. mSystems 7, e00019-22 (2022).
Wilde, J. et al. Assessing phage–host population dynamics by reintroducing virulent viruses to synthetic microbiomes. Cell Host Microbe 32, 768–778.e9 (2024).
Cheng, M. et al. Endolysin LysEF-P10 shows potential as an alternative treatment strategy for multidrug-resistant Enterococcus faecalis infections. Sci. Rep. 7, 10164 (2017).
Schmelcher, M. et al. Evolutionarily distinct bacteriophage endolysins featuring conserved peptidoglycan cleavage sites protect mice from MRSA infection. J. Antimicrob. Chemother. 70, 1453–1465 (2015).
Zimmer, M., Vukov, N., Scherer, S. & Loessner, M. J. The murein hydrolase of the bacteriophage φ3626 dual lysis system is active against all tested Clostridium perfringens strains. Appl. Environ. Microbiol. 68, 5311–5317 (2002).
Cervantes-Echeverría, M. J. et al. Fecal virome transplantation (FVT) from healthy humans remodels the gut bacteriome and virome and reduces metabolic syndrome in mice. Preprint at bioRxiv https://doi.org/10.1101/2024.02.17.580809 (2024).
Ott, S. J. et al. Efficacy of sterile fecal filtrate transfer for treating patients with Clostridium difficile infection. Gastroenterology 152, 799–811.e7 (2017).
Rasmussen, T. S. et al. Overcoming donor variability and risks associated with fecal microbiota transplants through bacteriophage-mediated treatments. Microbiome 12, 119 (2024).
Offersen, S. M. et al. Chemostat culturing reduces fecal eukaryotic virus load and delays diarrhea after virome transplantation. eLife 14, RP105991 (2025).
Yu, Y., Wang, W. & Zhang, F. The next generation fecal microbiota transplantation: to transplant bacteria or virome. Adv. Sci. 10, 2301097 (2023).
Hsu, B. B. et al. Dynamic modulation of the gut microbiota and metabolome by bacteriophages in a mouse model. Cell Host Microbe 25, 803–814.e5 (2019).
Rasmussen, T. S. et al. Faecal virome transplantation decreases symptoms of type 2 diabetes and obesity in a murine model. Gut 69, 2122–2130 (2020).
Wortelboer, K. et al. Phage-microbe dynamics after sterile faecal filtrate transplantation in individuals with metabolic syndrome: a double-blind, randomised, placebo-controlled clinical trial assessing efficacy and safety. Nat. Commun. 14, 5600 (2023).
Li, N. et al. Faecal phageome transplantation alleviates intermittent intestinal inflammation in IBD and the timing of transplantation matters: a preclinical proof-of-concept study in mice. Gut 74, 868–870 (2025).
Virgin, H. W. The virome in mammalian physiology and disease. Cell 157, 142–150 (2014).
National Institutes of Health. Human Virome Program. NIH https://commonfund.nih.gov/humanvirome (2025).
Galiez, C., Siebert, M., Enault, F., Vincent, J. & Söding, J. WIsH: who is the host? Predicting prokaryotic hosts from metagenomic phage contigs. Bioinformatics 33, 3113–3114 (2017).
Villarroel, J. et al. HostPhinder: a phage host prediction tool. Viruses 8, 116 (2016).
Wang, W. et al. A network-based integrated framework for predicting virus–prokaryote interactions. Nar. Genomics Bioinforma. 2, lqaa044 (2020).
Lu, C. et al. Prokaryotic virus host predictor: a Gaussian model for host prediction of prokaryotic viruses in metagenomics. BMC Biol. 19, 5 (2021).
Coutinho, F. H. et al. RaFAH: host prediction for viruses of bacteria and archaea based on protein content. Patterns 2, 100274 (2021).
Friedman, J. & Alm, E. J. Inferring correlation networks from genomic survey data. PLoS Comput. Biol. 8, e1002687 (2012).
Faust, K. et al. Microbial co-occurrence relationships in the human microbiome. PLoS Comput. Biol. 8, e1002606 (2012).
Kurtz, Z. D. et al. Sparse and compositionally robust inference of microbial ecological networks. PLoS Comput. Biol. 11, e1004226 (2015).
Zhang, R. et al. SpacePHARER: sensitive identification of phages from CRISPR spacers in prokaryotic hosts. Bioinformatics 37, 3364–3366 (2021).
Zhang, F. et al. CRISPRminer is a knowledge base for exploring CRISPR-Cas systems in microbe and phage interactions. Commun. Biol. 1, 180 (2018).
Dion, M. B. et al. Streamlining CRISPR spacer-based bacterial host predictions to decipher the viral dark matter. Nucleic Acids Res. 49, 3127–3138 (2021).
Altschul, S. F., Gish, W., Miller, W., Myers, E. W. & Lipman, D. J. Basic local alignment search tool. J. Mol. Biol. 215, 403–410 (1990).
Press, M. O. et al. Hi-C deconvolution of a human gut microbiome yields high-quality draft genomes and reveals plasmid-genome interactions. Preprint at bioRxiv https://doi.org/10.1101/198713 (2017).
DeMaere, M. Z. & Darling, A. E. bin3C: exploiting Hi-C sequencing data to accurately resolve metagenome-assembled genomes. Genome Biol. 20, 46 (2019).
Burton, J. N., Liachko, I., Dunham, M. J. & Shendure, J. Species-level deconvolution of metagenome assemblies with Hi-C–based contact probability maps. G3 4, 1339–1346 (2014).
Du, Y., Laperriere, S. M., Fuhrman, J. & Sun, F. Normalizing metagenomic Hi-C data and detecting spurious contacts using zero-inflated negative binomial regression. J. Comput. Biol. 29, 106–120 (2022).
Coclet, C., Camargo, A. P. & Roux, S. MVP: a modular viromics pipeline to identify, filter, cluster, annotate, and bin viruses from metagenomes. mSystems 9, e0088824 (2024).
Zhou, Z., Martin, C., Kosmopoulos, J. C. & Anantharaman, K. ViWrap: a modular pipeline to identify, bin, classify, and predict viral–host relationships for viruses from metagenomes. iMeta 2, e118 (2023).
Roach, M. J. et al. Hecatomb: an integrated software platform for viral metagenomics. GigaScience 13, giae020 (2024).
Ru, J., Khan Mirzaei, M., Xue, J., Peng, X. & Deng, L. ViroProfiler: a containerized bioinformatics pipeline for viral metagenomic data analysis. Gut Microbes 15, 2192522 (2023).
Plyusnin, I., Vapalahti, O., Sironen, T., Kant, R. & Smura, T. Enhanced viral metagenomics with Lazypipe 2. Viruses 15, 431 (2023).
Shang, J., Peng, C., Liao, H., Tang, X. & Sun, Y. PhaBOX: a web server for identifying and characterizing phage contigs in metagenomic data. Bioinforma. Adv. 3, vbad101 (2023).
Camargo, A. P. et al. Identification of mobile genetic elements with geNomad. Nat. Biotechnol. 42, 1303–1312 (2024).
Guo, J. et al. VirSorter2: a multi-classifier, expert-guided approach to detect diverse DNA and RNA viruses. Microbiome 9, 37 (2021).
Kieft, K., Zhou, Z. & Anantharaman, K. VIBRANT: automated recovery, annotation and curation of microbial viruses, and evaluation of viral community function from genomic sequences. Microbiome 8, 90 (2020).
Ren, J. et al. Identifying viruses from metagenomic data using deep learning. Quant. Biol. 8, 64–77 (2020).
Nayfach, S. et al. CheckV assesses the quality and completeness of metagenome-assembled viral genomes. Nat. Biotechnol. 39, 578–585 (2021).
Bouras, G. et al. Pharokka: a fast scalable bacteriophage annotation tool. Bioinformatics 39, btac776 (2023).
Bouras, G. et al. Protein structure informed bacteriophage genome annotation with phold. Preprint at bioRxiv https://doi.org/10.1101/2025.08.05.668817 (2025).
Shaffer, M. et al. DRAM for distilling microbial metabolism to automate the curation of microbiome function. Nucleic Acids Res. 48, 8883–8900 (2020).
Bin Jang, H. et al. Taxonomic assignment of uncultivated prokaryotic virus genomes is enabled by gene-sharing networks. Nat. Biotechnol. 37, 632–639 (2019).
Zheng, K. et al. VITAP: a high precision tool for DNA and RNA viral classification based on meta-omic data. Nat. Commun. 16, 2226 (2025).
Rangel-Pineros, G. et al. VIRify: an integrated detection, annotation and taxonomic classification pipeline using virus-specific protein profile hidden Markov models. PLoS Comput. Biol. 19, e1011422 (2023).
Shang, J. & Sun, Y. CHERRY: a computational method for accurate prediction of virus–prokaryotic interactions using a graph encoder–decoder model. Brief. Bioinform. 23, bbac182 (2022).
Kieft, K., Adams, A., Salamzade, R., Kalan, L. & Anantharaman, K. vRhyme enables binning of viral genomes from metagenomes. Nucleic Acids Res. 50, e83 (2022).
Mallawaarachchi, V. et al. Phables: from fragmented assemblies to high-quality bacteriophage genomes. Bioinformatics 39, btad586 (2023).
Chen, X. et al. A virome-wide clonal integration analysis platform for discovering cancer viral etiology. Genome Res. 29, 819–830 (2019).
Zhao, G. et al. VirusSeeker, a computational pipeline for virus discovery and virome composition analysis. Virology 503, 21–30 (2017).
Acknowledgements
Research is funded by grants from the National Institutes of Health, including RC2DK116713 awarded by the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) to S.A.H., R01AI173360 awarded by the National Institute of Allergy and Infectious Diseases (NIAID) to M.T.B. and S.A.H., U01AT012998 awarded by the National Center for Complementary and Integrative Health (NCCIH) to M.T.B. and S.A.H., and U24HL175772 awarded by the National Heart, Lung, and Blood Institute (NHLBI).
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M.M.L. is a consultant to EllaOla, Takeda Pharmaceuticals and Anokion, has received research support from Takeda and Moderna (to institution), and has acted as a study investigator for Merck, Regeneron, Pfizer and Takeda Pharmaceuticals (to institution). The other authors declare no competing interests.
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Nature Reviews Gastroenterology & Hepatology thanks Tao Zuo, who co-reviewed with Ziyu Huang; and Junhua Li for their contribution to the peer review of this work.
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Glossary
- Auxiliary metabolic genes
-
Genes carried by viruses that encode metabolic functions and can supplement or modify host cell metabolism during infection.
- CrAssphages
-
The most abundant bacteriophage discovered in human gut metagenomes through cross-assembly analysis.
- Dysbiosis
-
An imbalance in microbial community composition and function characterized by altered abundance of key taxa or disrupted ecological interactions with potential effects on health.
- Lysogenic conversion
-
The process by which prophage genes alter the phenotype of the bacterial host, potentially conferring new capabilities such as toxin production or antibiotic resistance.
- Lysogeny
-
The viral life cycle state where phage DNA integrates into the bacterial chromosome and replicates passively with the bacterial host without causing immediate lysis.
- Prophage induction
-
The process by which integrated viral DNA (prophage) exits the bacterial chromosome and initiates viral replication, leading to bacterial cell lysis.
- Temperate phages
-
Bacteriophages capable of both lytic (immediate bacterial host lysis) and lysogenic (chromosomal integration) life cycles.
- Viral dark matter
-
The large fraction of viral sequences in metagenomes that cannot be taxonomically classified due to lack of similarity to known viral genomes.
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Chica Cardenas, L.A., Leonard, M.M., Baldridge, M.T. et al. Gut virome dynamics: from commensal to critical player in health and disease. Nat Rev Gastroenterol Hepatol 23, 126–144 (2026). https://doi.org/10.1038/s41575-025-01134-z
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DOI: https://doi.org/10.1038/s41575-025-01134-z


