ReviewCritical reviews in microbiology2026
Picobirnavirus: how do you find where it's hiding?
Review in Critical reviews in microbiology, 2026. 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.
- One health viral metagenomics for pathogen surveillance: robust mNGS workflows for viral detection and genome recovery from swab and tissue specimens.BMC microbiology · 2026Article
- Revealing deep evolutionary relationships between RNA viruses using predicted structural models of viral RNA polymerases.Molecular biology and evolution · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Picobirnaviruses (PBVs) are double-stranded RNA viruses detected in various environments and host-associated samples, including those from humans, non-human animals, invertebrates and birds. First described in human fecal material, PBVs were initially hypothesized to be human enteric pathogens. However, no definitive association with disease has been established. Their pathogenic potential remains unclear, therefore, their presence in clinical or environmental samples may reflect asymptomatic colonization, indirect association or infection of a non-human host. The PBV genome exhibits remarkably high genetic diversity both within and across its genomic segments, as well as notable variability in genetic code usage. Some PBV genomes use alternative codon assignments, raising the possibility that they infect prokaryotic or otherwise unconventional hosts. This review critically examines the experimental and bioinformatic methods used to detect PBVs and infer their host range. We distinguish between methods used for PBV genome identification (e.g. PCR, metagenomic sequencing) and those aimed at host determination (e.g. culturing attempts, codon usage bias, cloning into model systems). We also evaluate the challenges and limitations associated with each approach. Elucidating PBVs' host range is essential to understanding their biological roles and ecological significance, including potential implications for human and animal health and microbial community dynamics across ecosystems.
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.