Evidence map›Paper›PMID 41163033›Full record

ArticleBMC veterinary research2025

Prevalence and genetic characterization of diarrhea viruses among cattle in Guangdong, China.

Lixia Xie, Jingjing Zhang, Wenfen Zhang, Zhengkai Wei, Jun Ma, Ruixia Xie, Xinhong Pan, Shouyi Chen, Juntao Li

Abstract read
In one paragraph

Article in BMC veterinary research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Clinical and Epidemiological Features of Calicivirus Infections in Cattle.Animals : an open access journal from MDPI · 2026
    Review
  3. 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

9 authors.

Lixia Xie *Guangzhou Center for Disease Control and Prevention (Guangzhou Health Supervision Institute), Guangzhou, 510440, China.
Jingjing Zhang *Guangzhou Center for Disease Control and Prevention (Guangzhou Health Supervision Institute), Guangzhou, 510440, China.
Wenfen ZhangThe Shenzhen Hospital of Guangzhou University of Chinese Medicine, Shenzhen, 518034, China.
Zhengkai WeiCollege of Veterinary Medicine, Southwest University, Chongqing, 400715, China.
Jun MaSchool of Animal Science and Technology, Foshan University, Foshan, 528225, China.
Ruixia XieSchool of Traditional Chinese Medicine, Southern Medical University, Guangzhou, Guangdong, 510515, China.
Xinhong PanGuangzhou Center for Disease Control and Prevention (Guangzhou Health Supervision Institute), Guangzhou, 510440, China.
Shouyi ChenGuangzhou Center for Disease Control and Prevention (Guangzhou Health Supervision Institute), Guangzhou, 510440, China.
Juntao LiGuangzhou Center for Disease Control and Prevention (Guangzhou Health Supervision Institute), Guangzhou, 510440, China. jtwl1011@163.com.

Funding

The Key Project of Agricultural and Social Development Science and Technology Projects of Guangzhou 202103000008
6 · The paper itself

Abstract

backgroundBovine coronavirus (BCoV), bovine norovirus (BNoV), and bovine rotavirus C (BRVC) are common diarrheal viruses in cattle and pose significant threats to herds and humans. In this study, we collected 194 fresh fecal samples from adult cattle between September 2022 and January 2024 in Guangdong Province, China. We presented the genetic characteristics of 24 newly identified enteric virus strains in cattle, including two bovine coronavirus (BCoV) strains (GD-GZ-01 and GD-GZ-02), one bovine norovirus (BNoV) strain (BYN7), and 22 bovine rotavirus (BRV) strains (BRVB, BRVC, and BRVH, representing groups B, C, and H, respectively). Genetic analysis was conducted via MEGA-X, MAFFT, RDP, SimPlot and Rstudio software. The reference strains' related genes were retrieved from GenBank for comparison and analysis via MegAlign and Snapgene.

resultsThe detection rates for BCoV, BNoV, and BRVC were 8.76% (17/194), 15.98% (31/194), and 5.67% (11/194), respectively. The phylogenetic and homology analyses showed that BCoV strains GD-GZ-01 and GD-GZ-02 were branched Chinese Zhejiang or Xinjiang strains from the Betacoronavirus group; BNoV strain BYN7 contains new gene sequences, the VP1 and VP2 genes, from the GIII.2 subgroup and may have originated from Chinese Sichuan yaks strain; The 22 BRV rotavirus strains (10 BRVB strains, 11 BRVC strains, and one BRVH strain) formed distinct phylogenetic clusters respectively. Additionally, BCoV strains have a close genetic relationship with the human OC43 strain. Furthermore, recombination analysis of the S genes showed that recombination events may have occurred between the bovine GD-GZ-01 and the human OC43 strain.

conclusionsBCoV, BNoV, and BRVC exhibited relatively low prevalence levels in Guangdong, China. This is the first study to report the infection rate and genetic characterization of BRVC strains circulating in cattle in China. Our study confirmed that there were disparities in the infection rate regarding sampling site type. Genetic characterization suggested that the identified BCoV strains (GD-GZ-01 and GD-GZ-02) may have originated from Zhejiang or Xinjiang, BNoV (BYN7) could be a novel genetic variant from a Sichuan yak strain, and 22 BRV strains are novel genetic variants in new clusters. And, recombination events between the bovine GD-GZ-01 and the human OC43 strain suggested potential risks of zoonosis. It suggested potential risks of cross-regional and cross-species transmission of these viruses.

Indexed as

Caliciviridae InfectionsCattle DiseasesCoronavirus InfectionsDiarrheaDiarrhea Viruses, Bovine ViralRotavirus InfectionsAnimalsCattleChinaCoronavirus, BovineFecesNorovirusPhylogenyPrevalenceRotavirusBovine coronavirus (BCoV)Bovine norovirus (BNoV)Bovine rotavirus c (BRVC)Genetic characterization

Identifiers

PMID41163033
PMCPMC12574176

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.