Evidence map›Paper›PMID 41638668›Full record

ArticleThe Journal of veterinary medical science2026

Detection and genetic characterization of pigeon gammacoronaviruses.

Hiroko Kobayashi, Mai Kishimoto, Sakiho Imai, Yasuko Orba, Hirofumi Sawa, Masayuki Horie

Abstract read
In one paragraph

Article in The Journal of veterinary medical science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Hiroko KobayashiDivision of Molecular Pathobiology, International Institute for Zoonosis Control, Hokkaido University, Hokkaido, Japan.
Mai KishimotoSchool of Veterinary Science, College of Life, Environment, and Advanced Science, Osaka Prefecture University, Osaka, Japan.
Sakiho ImaiSchool of Veterinary Science, College of Life, Environment, and Advanced Science, Osaka Prefecture University, Osaka, Japan.
Yasuko OrbaDivision of Molecular Pathobiology, International Institute for Zoonosis Control, Hokkaido University, Hokkaido, Japan.
Hirofumi SawaInstitute for Vaccine Research and Development, Hokkaido University, Hokkaido, Japan.
Masayuki HorieSchool of Veterinary Science, College of Life, Environment, and Advanced Science, Osaka Prefecture University, Osaka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most members of the genus Gammacoronavirus infect avian hosts, but far fewer viruses have been characterized than in the other coronavirus genera, leaving their diversity largely unclear. Pigeon gammacoronaviruses were previously detected by consensus PCR, but only partial sequences were determined. In this study, we comprehensively analyzed public RNA-seq datasets and reconstructed two nearly complete genomes of pigeon gammacoronaviruses. Molecular evolutionary analyses showed pigeon gammacoronaviruses belong to the subgenus Igacovirus, and their pairwise distances to the members of this subgenus meet the International Committee on Taxonomy of Viruses (ICTV) species demarcation criteria, supporting their designation as a novel species in this subgenus. Notably, although nucleotide sequences are highly conserved among pigeon coronavirus variants, their 3'-genomic region exhibited differences in genome organization. These findings expand our knowledge of the diversity of gammacoronaviruses.

Indexed as

ColumbidaeGammacoronavirusGenome, ViralAnimalsEvolution, MolecularPhylogenyColumba liviacoronavirusgammacoronaviruspigeonpublic database

Identifiers

PMID41638668
PMCPMC13062565

What OpenQuestion holds

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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.