ArticlemSphere2025
Estimated size of the total genome and protein space of viruses.
Article in mSphere, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Diverse novel and avian-associated viruses in the ileal viromes of Northern Mockingbird (Mimus polyglottos).Archives of virology · 2026Article
- Basic Virology.Advances in experimental medicine and biology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recent metagenomic studies have identified a vast number of viruses. However, the systematic assessment of the true genetic diversity of the whole virus community on our planet remains to be investigated. Here, we explored the genome and protein space of viruses by simulating the process of virus discovery in viral metagenomic studies. Among multiple functions, the power function was found to best fit the increasing trends of virus diversity and was, therefore, used to predict the genetic space of viruses. The estimate suggests that there are at least 8.23e+08 viral operational taxonomic units and 1.62e+09 viral protein clusters on Earth when assuming the saturation of the virus genetic space, taking into account the balance of costs and the identification of novel viruses. It is noteworthy that less than 3% of the viral genetic diversity has been uncovered thus far, emphasizing the vastness of the unexplored viral landscape. To saturate the genetic space, a total of 3.08e+08 samples would be required. Analysis of viral genetic diversity by ecosystem yielded estimates consistent with those mentioned above. Furthermore, the estimate of the virus genetic space remained robust when accounting for the redundancy of sampling, sampling time, sequencing platform, and parameters used for protein clustering. This study provides a guide for future sequencing efforts in virus discovery and contributes to a better understanding of viral diversity in nature.IMPORTANCEViruses are the most abundant and diverse biological entities on Earth. In recent years, a large number of viruses have been discovered based on sequencing technology. However, it is not clear how many kinds of viruses exist on Earth. This study estimates that there are at least 823 million types of viruses and 1.62 billion types of viral proteins. Remarkably, less than 3% of this large diversity has been uncovered to date. These findings highlight the enormous potential for discovering new viruses and reveal a significant gap in our current understanding of the viral world. This study calls for increased attention and resources to be directed toward viral discovery and metagenomics and provides a guide for future sequencing efforts, enhancing our knowledge of viral diversity in nature for ecology, biology, and public health.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.