ArticleViruses2025
Identification of Hunnivirus in Bovine and Caprine Samples in North America.
Article in Viruses, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.
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
1 citing paper in PubMed.
Corrections and comments
- Erratum issued
Authors and funding
6 authors.
Funding
Abstract
Diarrhea in young ruminants is a global issue and causes significant economic losses worldwide. In addition to common pathogens like rotavirus, coronavirus, and astrovirus, new viruses can be identified through unbiased next-generation sequencing (NGS) techniques. Here, we report the initial identification of a hunnivirus from a one-month-old goat with diarrhea using shotgun metagenomic NGS. A complete hunnivirus genome was recovered. Phylogenetic tree analysis revealed that this goat hunnivirus was more closely related to cattle hunnivirus than to small ruminant hunnivirus strains, suggesting a prior cross-species transmission event. The genome was used to design primers/probes for the conserved 3D
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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.