ArticleVirology journal2025
First report on detection and molecular characterization of alphacoronaviruses in the small Indian mongoose (Urva auropunctata).
Article in Virology journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
backgroundMembers of the species Alphacoronavirus suis/Alphacoronavirus-1 (αCoV-1) are important viral pathogens of canids/felids that exhibit complex evolutionary patterns and have been associated with interspecies transmission events including zoonoses. Mongooses (family Herpestidae, order Carnivora) are scavengers that pose a risk as potential carrier of viral pathogens. To date, there are no reports on the genetic make-up/diversity of CoVs circulating in mongoose populations.
methodsFecal samples obtained from 53 small Indian mongooses (Urva auropunctata) on the Caribbean island of St. Kitts were screened for CoVs using a pan-CoV RT-semi-nested PCR assay and canine αCoV-specific RT-PCR assays. The partial RNA-dependent RNA polymerase (RdRp) and membrane protein (M) coding sequences (CDS) and the nearly full-length spike (S) protein CDS were determined from the mongoose CoVs and analyzed in the present study.
resultsWe report here high detection rates of αCoVs (30.18%, 16/53 samples) in small Indian mongooses on St. Kitts, indicating that αCoVs might be widely circulating in the island mongoose population. Analysis of the CoV RdRp-, M- and S- CDS revealed significant genetic diversity among the mongoose CoVs, and between mongoose CoVs and other αCoVs, including evidence for at least 2 recombination events (involving S gene), one of which involved the putative receptor binding domain (RBD). Phylogenetically, the mongoose CoVs formed distinct cluster/s within the canine CoV-2 (CCoV-2) lineage and appeared to be more related to CCoV-2b than other αCoVs. Despite differences in the S CDS including those in the RBD, the mongoose CoVs preserved certain features that are characteristic of CCoV-2 (lack of furin cleavage motif at S1/S2 site and presence of cleavage motif at S2' site) and retained the crucial amino acid residues essential for αCoV binding to the host aminopeptidase N receptor.
conclusionsThe present study is the first to report high detection rates and genetic makeup/diversity of CoVs in mongooses, expanding our knowledge on the host range and complex evolutionary patterns of αCoVs. Considering our findings, the proximity of mongoose to other canids/felids and humans, and cross-species transmission potential of CoVs, large-scale studies on prevalence and genetic diversity of CoVs that might be circulating in different mongoose species/populations, and in-depth investigation of mongoose CoV RBD-host receptor interactions are of utmost importance.
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.