Definition and research guide
This page combines a MeSH definition, publication statistics and selected research abstracts. It is a starting point for reading the literature, not a medical textbook or a systematic evidence review.
Content available: 4 complete abstracts (841 words), 10 references. Full article text is not stored or reproduced here; follow the PMID, DOI or PMC links to read the original sources and their access terms.
Definition
All of the viruses that exist within a particular biological niche such as an organism or specific location of the organism, soil, a body of water, etc.
Definition: NLM Medical Subject Headings (MeSH) scope note (Public domain (U.S. National Library of Medicine); attribution requested). View the MeSH record.
Also known as: Viromes; Viral Microbiome; Microbiomes, Viral; Microbiome, Viral; Viral Microbiomes; Virus Microbiome; Microbiomes, Virus; Microbiome, Virus.
Where it fits in the MeSH classification
- Broader topics
- Microbiota
Related concepts
- Viruses
Research landscape
PubMed indexes 1,271 records tagged with the MeSH heading “Virome” (counts retrieved 2026-10-31). 1,271 of them (100.0%) were published from 2020 onward, and the busiest period so far is 2020 onward with 1,271 records.
Reviews account for 158 records (12.4%) and meta-analyses for 6. Randomized controlled trials number 5 (0.4%) as a share of all records on the topic. Randomized trials make up only a small share of this literature, so much of what is known comes from laboratory, observational or descriptive work.
Show the data
| Period | Records |
|---|---|
| through 1999 | 0 |
| 2000-2009 | 0 |
| 2010-2019 | 3 |
| 2020 onward | 1,271 |
Publication-type chart data
| Type | Records | Share |
|---|---|---|
| Reviews | 158 | 12.4% |
| Meta-analyses | 6 | 0.5% |
| Randomized controlled trials | 5 | 0.4% |
Method: PubMed query "Virome"[MeSH Terms] with publication-type and date filters, retrieved 2026-10-31.
Reading the evidence in public health and nutrition
Population and nutrition studies mostly observe what people eat, breathe or are exposed to and then look for links with health, which shows association and not proof of cause. Self-reported diet is imprecise, people who eat or live differently also differ in other ways, and effects measured across a population may not apply to one person. Check the study design, how exposure was measured, what else was accounted for and the size of the effect, not only whether it was statistically significant.
Evidence from open-access studies
These open-access studies come from PubMed’s best-match results for this heading (papers whose main topic it is), ranked here by citation count, with one recent addition. Each abstract is reproduced in full under its recorded open licence so that you can read the authors’ own words. They illustrate the literature; they are not a systematic summary of it. Citation counts measure attention, not reliability or clinical benefit.
| Study / authors | Year | Source label / design | Europe PMC citations | Licence / source |
|---|---|---|---|---|
| Birth of protein folds and functions in the virome | 2024 | Research article Design not recorded in structured metadata | 114 | cc by PMID 39187718 · DOI · PMC11410667 |
| Wastewater sequencing reveals community and variant dynamics of the collective human virome | 2023 | Research article Design not recorded in structured metadata | 110 | cc by PMID 37898601 · DOI · PMC10613200 |
| Extensive gut virome variation and its associations with host and environmental factors in a population-level cohort | 2022 | Research article Design not recorded in structured metadata | 100 | cc by PMID 36068216 · DOI · PMC9448778 |
| The DNA virome varies with human genes and environments | 2026 | Research article Design not recorded in structured metadata | 6 | cc by PMID 41882355 · DOI · PMC13215884 |
Birth of protein folds and functions in the virome [1]
Abstract reading summary — source excerpts
- Opening excerpt
- The rapid evolution of viruses generates proteins that are essential for infectivity and replication but with unknown functions, due to extreme sequence divergence1.
- Closing excerpt
- Together, the viral protein structural database and analyses presented here afford new opportunities to identify mechanisms of virus-host interactions that are common across the virome.
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (190 words)
The rapid evolution of viruses generates proteins that are essential for infectivity and replication but with unknown functions, due to extreme sequence divergence1. Here, using a database of 67,715 newly predicted protein structures from 4,463 eukaryotic viral species, we found that 62% of viral proteins are structurally distinct and lack homologues in the AlphaFold database2,3. Among the remaining 38% of viral proteins, many have non-viral structural analogues that revealed surprising similarities between human pathogens and their eukaryotic hosts. Structural comparisons suggested putative functions for up to 25% of unannotated viral proteins, including those with roles in the evasion of innate immunity. In particular, RNA ligase T-like phosphodiesterases were found to resemble phage-encoded proteins that hydrolyse the host immune-activating cyclic dinucleotides 3',3'- and 2',3'-cyclic GMP-AMP (cGAMP). Experimental analysis showed that RNA ligase T homologues encoded by avian poxviruses similarly hydrolyse cGAMP, showing that RNA ligase T-mediated targeting of cGAMP is an evolutionarily conserved mechanism of immune evasion that is present in both bacteriophage and eukaryotic viruses. Together, the viral protein structural database and analyses presented here afford new opportunities to identify mechanisms of virus-host interactions that are common across the virome.
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 39187718 · DOI · PMC11410667
Wastewater sequencing reveals community and variant dynamics of the collective human virome [2]
Abstract reading summary — source excerpts
- Opening excerpt
- Wastewater is a discarded human by-product, but its analysis may help us understand the health of populations.
- Closing excerpt
- We reveal the viral landscape of human wastewater and its potential to improve our understanding of outbreaks, transmission, and its effects on overall population health.
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (205 words)
Wastewater is a discarded human by-product, but its analysis may help us understand the health of populations. Epidemiologists first analyzed wastewater to track outbreaks of poliovirus decades ago, but so-called wastewater-based epidemiology was reinvigorated to monitor SARS-CoV-2 levels while bypassing the difficulties and pit falls of individual testing. Current approaches overlook the activity of most human viruses and preclude a deeper understanding of human virome community dynamics. Here, we conduct a comprehensive sequencing-based analysis of 363 longitudinal wastewater samples from ten distinct sites in two major cities. Critical to detection is the use of a viral probe capture set targeting thousands of viral species or variants. Over 450 distinct pathogenic viruses from 28 viral families are observed, most of which have never been detected in such samples. Sequencing reads of established pathogens and emerging viruses correlate to clinical data sets of SARS-CoV-2, influenza virus, and monkeypox viruses, outlining the public health utility of this approach. Viral communities are tightly organized by space and time. Finally, the most abundant human viruses yield sequence variant information consistent with regional spread and evolution. We reveal the viral landscape of human wastewater and its potential to improve our understanding of outbreaks, transmission, and its effects on overall population health.
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 37898601 · DOI · PMC10613200
Extensive gut virome variation and its associations with host and environmental factors in a population-level cohort [3]
Abstract reading summary — source excerpts
- Opening excerpt
- Indigenous bacteriophage communities (virome) in the human gut have a huge impact on the structure and function of gut bacterial communities (bacteriome), but virome variation at a population scale is not fully investigated yet.
- Closing excerpt
- Overall, these results present a basis to understand the symbiotic communities of bacteria and their viruses in the human gut, which will facilitate the medical and industrial applications of indigenous viruses.
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (189 words)
Indigenous bacteriophage communities (virome) in the human gut have a huge impact on the structure and function of gut bacterial communities (bacteriome), but virome variation at a population scale is not fully investigated yet. Here, we analyse the gut dsDNA virome in the Japanese 4D cohort of 4198 deeply phenotyped individuals. By assembling metagenomic reads, we discover thousands of high-quality phage genomes including previously uncharacterised phage clades with different bacterial hosts than known major ones. The distribution of host bacteria is a strong determinant for the distribution of phages in the gut, and virome diversity is highly correlated with anti-viral defence mechanisms of the bacteriome, such as CRISPR-Cas and restriction-modification systems. We identify 97 various intrinsic/extrinsic factors that significantly affect the virome structure, including age, sex, lifestyle, and diet, most of which showed consistent associations with both phages and their predicted bacterial hosts. Among the metadata categories, disease and medication have the strongest effects on the virome structure. Overall, these results present a basis to understand the symbiotic communities of bacteria and their viruses in the human gut, which will facilitate the medical and industrial applications of indigenous viruses.
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 36068216 · DOI · PMC9448778
The DNA virome varies with human genes and environments [4]
Abstract reading summary — source excerpts
- Opening excerpt
- Many viruses have adapted to persist in infected humans for life1,2.
- Closing excerpt
- This suggests that higher chronic EBV load increases lymphoma risk, whereas associations of EBV infection with autoimmune conditions reflect host immune responses to particular viral epitopes.
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (257 words)
Many viruses have adapted to persist in infected humans for life1,2. Variable host control of their ongoing abundance (viral load) can lead to clearance or disease3-5. Here we analysed the viral DNA load of 31 common viruses in human blood and saliva using whole-genome sequencing data from UK Biobank (n = 490,401), All of Us (n = 414,817) and Simons Foundation Powering Autism Research for Knowledge (SPARK; n = 12,519). Viral DNA load varied markedly with age, time of day and season; most viruses were also present at greater abundance in men than in women. Human genetic variation at dozens of loci associated with DNA load of seven viruses: Epstein-Barr virus (EBV, 45 loci), human herpesvirus (HHV)-7 (37 loci), HHV-6B, Merkel cell polyomavirus and three anelloviruses. Variation at the major histocompatibility complex (MHC) locus generated the strongest associations (P = 5.8 × 10-9 to 2.5 × 10-1459), which were specific to each virus. The HLA-B*08:01 allele also exhibited a host-virus genetic interaction with EBV subtype (P = 7.4 × 10-70). Other human genetic effects implicated genes encoding proteins that process peptides for antigen presentation, such as ERAP1 (HHV-7, P = 2.7 × 10-78) and ERAP2 (EBV, P = 4.6 × 10-111). Mendelian randomization analyses supported a strong causal effect of EBV DNA load on increased risk of Hodgkin's lymphoma (P = 1.8 × 10-3), but not multiple sclerosis (P = 0.52). This suggests that higher chronic EBV load increases lymphoma risk, whereas associations of EBV infection with autoimmune conditions reflect host immune responses to particular viral epitopes.
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 41882355 · DOI · PMC13215884
Key reviews and meta-analyses
The most cited review-type papers among PubMed’s best-match results for this heading, listed with bibliographic details only. Follow the links for the full text and access terms.
- Research article The human virome: assembly, composition and host interactions [5]
- Research article Gut Microbiota beyond Bacteria-Mycobiome, Virome, Archaeome, and Eukaryotic Parasites in IBD [6]
- Research article The lung microbiome: progress and promise [7]
- Research article Effects of Intestinal Fungi and Viruses on Immune Responses and Inflammatory Bowel Diseases [8]
- Research article The LUCA and its complex virome [9]
- Research article The Next Generation Fecal Microbiota Transplantation: To Transplant Bacteria or Virome [10]
References
- Nomburg J, Doherty EE, Price N, Bellieny-Rabelo D, Zhu YK, Doudna JA. Birth of protein folds and functions in the virome. . 2024. PMID 39187718 · DOI · PMC11410667
- Tisza M, Javornik Cregeen S, Avadhanula V, Zhang P, Ayvaz T, Feliz K, et al.. Wastewater sequencing reveals community and variant dynamics of the collective human virome. . 2023. PMID 37898601 · DOI · PMC10613200
- Nishijima S, Nagata N, Kiguchi Y, Kojima Y, Miyoshi-Akiyama T, Kimura M, et al.. Extensive gut virome variation and its associations with host and environmental factors in a population-level cohort. . 2022. PMID 36068216 · DOI · PMC9448778
- Kamitaki N, Tang D, McCarroll SA, Loh PR. The DNA virome varies with human genes and environments. . 2026. PMID 41882355 · DOI · PMC13215884
- Liang G, Bushman FD. The human virome: assembly, composition and host interactions. Nat Rev Microbiol. 2021. PMID 33785903 · DOI · PMC8008777
- Matijašić M, Meštrović T, Paljetak HČ, Perić M, Barešić A, Verbanac D. Gut Microbiota beyond Bacteria-Mycobiome, Virome, Archaeome, and Eukaryotic Parasites in IBD. Int J Mol Sci. 2020. PMID 32290414 · DOI · PMC7215374
- Whiteside SA, McGinniss JE, Collman RG. The lung microbiome: progress and promise. J Clin Invest. 2021. PMID 34338230 · DOI · PMC8321564
- Iliev ID, Cadwell K. Effects of Intestinal Fungi and Viruses on Immune Responses and Inflammatory Bowel Diseases. Gastroenterology. 2021. PMID 33347881 · DOI · PMC7956156
- Krupovic M, Dolja VV, Koonin EV. The LUCA and its complex virome. Nat Rev Microbiol. 2020. PMID 32665595 · DOI
- Yu Y, Wang W, Zhang F. The Next Generation Fecal Microbiota Transplantation: To Transplant Bacteria or Virome. Adv Sci (Weinh). 2023. PMID 37914662 · DOI · PMC10724401
About this article
- Sources
- NLM Medical Subject Headings (definition, synonyms); NCBI PubMed (counts, identifiers); Europe PMC (open-access abstracts and citation counts).
- Verification
- Every reference was resolved against PubMed on 2026-11-04; title, year and DOI matched.
- Review state
- automated source verified; no human expert review has been recorded yet.
- Version
- 1, last updated 2026-11-04.
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Evidence strength
EvidenceHelix's computed view of the study designs behind this topic: how common meta-analyses, randomized trials and reviews are, how recent the literature is, and a plain-language reading. It describes the design mix of the literature. It is not a quality appraisal of any study, and it is not medical advice.