Prevalence of natural feline coronavirus infection in domestic cats in Fujian, China.

Epidemiology Faeces samples Feline coronaviruses Prevalence RT-PCR

Journal

Virology journal
ISSN: 1743-422X
Titre abrégé: Virol J
Pays: England
ID NLM: 101231645

Informations de publication

Date de publication:
03 Jan 2024
Historique:
received: 29 08 2023
accepted: 20 12 2023
medline: 4 1 2024
pubmed: 4 1 2024
entrez: 3 1 2024
Statut: epublish

Résumé

Only few studies have investigated the prevalence of feline coronavirus (FCoV) infection in domestic cats in Fujian, China. This is the first study to report the prevalence rate of FCoV infection in domestic cats in Fujian, China, and to analyse the epidemiological characteristics of FCoV infection in the region. A total of 112 cat faecal samples were collected from animal hospitals and catteries in the Fujian Province. RNA was extracted from faecal material for reverse transcription polymerase chain reaction (RT-PCR). The prevalence rate of FCoV infection was determined, and its epidemiological risk factors were analysed. The overall prevalence of FCoV infection in the cats, was 67.9%. We did not observe a significant association between the age, sex, or breed of the cats included in the study and the prevalence rate of the viral infection. Phylogenetic analysis showed that the four strains from Fujian were all type I FCoV. This is the first study to analyse the prevalence and epidemiological characteristics of FCoV infection in domestic cats in Fujian, China, using faecal samples. The results of this study provide preliminary data regarding the prevalence of FCoV infection in the Fujian Province for epidemiological studies on FCoV in China and worldwide. Future studies should perform systematic and comprehensive epidemiological investigations to determine the prevalence of FCoV infection in the region.

Identifiants

pubmed: 38172898
doi: 10.1186/s12985-023-02273-y
pii: 10.1186/s12985-023-02273-y
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2

Subventions

Organisme : Fujian natural science foundation general project
ID : 2023J01991
Organisme : Fujian natural science foundation general project
ID : 2022J011155
Organisme : Project support was provided by the Research Fundation of Engineering Research Center for the Prevention and Control of Amal Original Zoonosis, Fujian Province University
ID : 2022K009
Organisme : Project support was provided by the Research Fundation of Engineering Research Center for the Prevention and Control of Amal Original Zoonosis, Fujian Province University
ID : 2022K009

Informations de copyright

© 2024. The Author(s).

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Auteurs

Bo Dong (B)

College of Life Science of Longyan University, 364012, Longyan, China. bodong1983@qq.com.
Engineering Research Center for the Prevention and Control of Animal Original Zoonosis, College of Life Science, Fujian Province University, Longyan University, Longyan, China. bodong1983@qq.com.
Fujian Provincial Key Laboratory for the Prevention and Control of Animal Infectious Diseases and Biotechnology, Longyan, China. bodong1983@qq.com.

Xiaodong Zhang (X)

College of Life Science of Longyan University, 364012, Longyan, China.

Xiaowei Zhong (X)

College of Life Science of Longyan University, 364012, Longyan, China.

Wenqian Hu (W)

College of Life Science of Longyan University, 364012, Longyan, China.

Zhihui Lin (Z)

College of Life Science of Longyan University, 364012, Longyan, China.

Shuo Zhang (S)

College of Life Science of Longyan University, 364012, Longyan, China.

Haiyan Deng (H)

College of Life Science of Longyan University, 364012, Longyan, China.

Weiming Lin (W)

College of Life Science of Longyan University, 364012, Longyan, China. wmlin925@126.com.
Engineering Research Center for the Prevention and Control of Animal Original Zoonosis, College of Life Science, Fujian Province University, Longyan University, Longyan, China. wmlin925@126.com.
Fujian Provincial Key Laboratory for the Prevention and Control of Animal Infectious Diseases and Biotechnology, Longyan, China. wmlin925@126.com.

Classifications MeSH