Prevalence of feline immunodeficiency virus and feline leukaemia virus in domestic cats in Hungary.

Hungary Immunodeficiency virus leukaemia virus phylogeny prevalence

Journal

JFMS open reports
ISSN: 2055-1169
Titre abrégé: JFMS Open Rep
Pays: England
ID NLM: 101672978

Informations de publication

Date de publication:
Historique:
entrez: 17 12 2019
pubmed: 17 12 2019
medline: 17 12 2019
Statut: epublish

Résumé

Feline immunodeficiency virus (FIV) and feline leukaemia virus (FeLV) are retroviruses affecting cats worldwide. The objectives of the study were to estimate the prevalence of these retroviruses in domestic cats in Hungary and to characterise the phylogenetic relationships of FIV strains. A total of 335 anticoagulated whole-blood samples obtained from both a healthy and ill cat population were examined for the presence of FIV and FeLV with two methods: ELISA and PCR. Statistical analysis was carried out to analyse the data obtained. Sequencing and phylogenetic analysis of partial polymerase ( Statistical analysis showed 11.8% and 9.9% true prevalence of FeLV and FIV, respectively, with ELISA. The apparent prevalence calculated from the PCR results were 17.3% for FeLV and 13.1% for FIV. Phylogenetic analysis of partial We report the first thorough overview of the prevalence of FeLV and FIV in Hungary, which is relatively high, and give insight into the genetic diversity of Hungarian strains of FIV.

Identifiants

pubmed: 31839979
doi: 10.1177/2055116919892094
pii: 10.1177_2055116919892094
pmc: PMC6904780
doi:

Types de publication

Journal Article

Langues

eng

Pagination

2055116919892094

Informations de copyright

© The Author(s) 2019.

Déclaration de conflit d'intérêts

Conflict of interest: The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

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Auteurs

Anna Szilasi (A)

Department of Pathology, University of Veterinary Medicine, Budapest, Pest, Hungary.

Lilla Dénes (L)

Department of Pathology, University of Veterinary Medicine, Budapest, Pest, Hungary.

Eszter Krikó (E)

Centre for Bioinformatics, University of Veterinary Medicine, Budapest, Pest, Hungary.

Kristin Heenemann (K)

Institute of Virology, Faculty of Veterinary Medicine, Leipzig University, Leipzig, Sachsen, Germany.

Reinhard Ertl (R)

VetCore Facility for Research, University of Veterinary Medicine, Vienna, Austria.

Míra Mándoki (M)

Department of Pathology, University of Veterinary Medicine, Budapest, Pest, Hungary.

Thomas W Vahlenkamp (TW)

Institute of Virology, Faculty of Veterinary Medicine, Leipzig University, Leipzig, Sachsen, Germany.

Gyula Balka (G)

Department of Pathology, University of Veterinary Medicine, Budapest, Pest, Hungary.

Classifications MeSH