Evidence map›Paper›PMID 40975788›Full record

ReviewCritical reviews in microbiology2026

Picobirnavirus: how do you find where it's hiding?

Abbey L K Hutton, Susanna Grigson, Louise Bartle, Bhavya Papudeshi, Vijini Mallawaarachchi, Anita Tarasenko, James G Mitchell, Robert A Edwards

Abstract readReview
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Abbey L K HuttonFlinders Accelerator for Microbiome Exploration, College of Science and Engineering, Flinders University, Bedford Park, Australia.
Susanna GrigsonFlinders Accelerator for Microbiome Exploration, College of Science and Engineering, Flinders University, Bedford Park, Australia.
Louise BartleFlinders Accelerator for Microbiome Exploration, College of Science and Engineering, Flinders University, Bedford Park, Australia.
Bhavya PapudeshiFlinders Accelerator for Microbiome Exploration, College of Science and Engineering, Flinders University, Bedford Park, Australia.
Vijini MallawaarachchiFlinders Accelerator for Microbiome Exploration, College of Science and Engineering, Flinders University, Bedford Park, Australia.
Anita TarasenkoFlinders Accelerator for Microbiome Exploration, College of Science and Engineering, Flinders University, Bedford Park, Australia.
James G MitchellFlinders Accelerator for Microbiome Exploration, College of Science and Engineering, Flinders University, Bedford Park, Australia.
Robert A EdwardsFlinders Accelerator for Microbiome Exploration, College of Science and Engineering, Flinders University, Bedford Park, Australia.

Funding

Computational and Experimental Resources for Virome Analysis in Inflammatory Bowel Disease (CERVAID)RC2DK116713 · NIDDK · WASHINGTON UNIVERSITY · PI WANG, DAVID · 2019 to 2023
$8.9M
NIDDK NIH HHS RC2 DK116713
6 · The paper itself

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

Host SpecificityPicobirnavirusRNA Virus InfectionsAnimalsBirdsGenetic VariationGenome, ViralHumansInvertebratesbacteriophagesmetagenomic sequencingPCRPicobirnavirusRdRp

Identifiers

PMID40975788
PMCPMC12956262

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.