One-step triplex TaqMan quantitative reverse transcription polymerase chain reaction for the detection of feline coronavirus, feline panleukopenia virus, and feline leukemia virus.

detection method feline coronavirus feline leukemia virus feline panleukopenia virus multiplex reverse transcription-quantitative polymerase chain reaction

Journal

Veterinary world
ISSN: 0972-8988
Titre abrégé: Vet World
Pays: India
ID NLM: 101504872

Informations de publication

Date de publication:
May 2024
Historique:
received: 23 01 2024
accepted: 10 04 2024
medline: 24 6 2024
pubmed: 24 6 2024
entrez: 24 6 2024
Statut: ppublish

Résumé

Feline coronavirus (FCoV), feline panleukopenia virus (FPV), and feline leukemia virus (FeLV) are prevalent throughout China and significantly threaten cat health. These viruses cause similar manifestations and pathological damage. Rapid and accurate diagnosis depends on detection in the laboratory. This study aimed to establish a reliable and rapid method for accurate detection of FCoV, FPV, and FeLV so that a definite diagnosis can be made and effective measures can be taken to prevent and control viral infection. We designed three pairs of specific primers and probes for the detection of FCoV 5' untranslated region, FPV viral protein 2, and FeLV pol genes. Recombinant plasmid constructs were generated for use as standard plasmid constructs. Optimal reaction conditions, including primer and probe concentrations, reaction cycles, and annealing temperatures, were obtained on the basis of optimization tests. One-step triplex real-time reverse transcription-quantitative polymerase chain reaction (RT-qPCR) was successfully established to simultaneously detect FCoV, FPV, and FeLV. The specificity, sensitivity, and repeatability of the assay were analyzed, and its applicability was validated by testing 1175 clinical samples. One-step triplex RT-qPCR had a high degree of specificity only for the detection of FCoV, FPV, and FeLV; it had high sensitivity with limits of detection of 139.904, 143.099, and 152.079 copies/reaction for p-FCoV, p-FPV, and p-FeLV standard plasmid constructs, respectively, and it had reliable repeatability with 0.06%-0.87% intra-assay coefficients of variations. A total of 1175 clinical samples were examined for FCoV, FPV, and FeLV using triplex RT-qPCR, and the FCoV, FPV, and FeLV positivity rates were 18.47%, 19.91%, and 47.57%, respectively. The clinical sensitivity and specificity of one-step triplex RT-qPCR were 93.07% and 97.99%, respectively. We developed a rapid and reliable one-step triplex RT-qPCR method for the detection of FCoV, FPV, and FeLV, which could be used as a diagnostic tool for clinical monitoring and diagnosis.

Sections du résumé

Background and Aim UNASSIGNED
Feline coronavirus (FCoV), feline panleukopenia virus (FPV), and feline leukemia virus (FeLV) are prevalent throughout China and significantly threaten cat health. These viruses cause similar manifestations and pathological damage. Rapid and accurate diagnosis depends on detection in the laboratory. This study aimed to establish a reliable and rapid method for accurate detection of FCoV, FPV, and FeLV so that a definite diagnosis can be made and effective measures can be taken to prevent and control viral infection.
Materials and Methods UNASSIGNED
We designed three pairs of specific primers and probes for the detection of FCoV 5' untranslated region, FPV viral protein 2, and FeLV pol genes. Recombinant plasmid constructs were generated for use as standard plasmid constructs. Optimal reaction conditions, including primer and probe concentrations, reaction cycles, and annealing temperatures, were obtained on the basis of optimization tests. One-step triplex real-time reverse transcription-quantitative polymerase chain reaction (RT-qPCR) was successfully established to simultaneously detect FCoV, FPV, and FeLV. The specificity, sensitivity, and repeatability of the assay were analyzed, and its applicability was validated by testing 1175 clinical samples.
Results UNASSIGNED
One-step triplex RT-qPCR had a high degree of specificity only for the detection of FCoV, FPV, and FeLV; it had high sensitivity with limits of detection of 139.904, 143.099, and 152.079 copies/reaction for p-FCoV, p-FPV, and p-FeLV standard plasmid constructs, respectively, and it had reliable repeatability with 0.06%-0.87% intra-assay coefficients of variations. A total of 1175 clinical samples were examined for FCoV, FPV, and FeLV using triplex RT-qPCR, and the FCoV, FPV, and FeLV positivity rates were 18.47%, 19.91%, and 47.57%, respectively. The clinical sensitivity and specificity of one-step triplex RT-qPCR were 93.07% and 97.99%, respectively.
Conclusion UNASSIGNED
We developed a rapid and reliable one-step triplex RT-qPCR method for the detection of FCoV, FPV, and FeLV, which could be used as a diagnostic tool for clinical monitoring and diagnosis.

Identifiants

pubmed: 38911097
doi: 10.14202/vetworld.2024.946-955
pii: Vetworld-17-946
pmc: PMC11188903
doi:

Types de publication

Journal Article

Langues

eng

Pagination

946-955

Informations de copyright

Copyright: © He, et al.

Déclaration de conflit d'intérêts

The authors declare that they have no competing interests.

Auteurs

Mengyi He (M)

Department of Basic Veterinary Medicine, College of Animal Science and Technology, Guangxi University, Nanning 530005, China.

Shuping Feng (S)

Guangxi Center for Animal Disease Control and Prevention, Nanning 530001, China.

Kaichuang Shi (K)

Department of Basic Veterinary Medicine, College of Animal Science and Technology, Guangxi University, Nanning 530005, China.
Guangxi Center for Animal Disease Control and Prevention, Nanning 530001, China.

Yandi Shi (Y)

Department of Basic Veterinary Medicine, College of Animal Science and Technology, Guangxi University, Nanning 530005, China.

Feng Long (F)

Guangxi Center for Animal Disease Control and Prevention, Nanning 530001, China.

Yanwen Yin (Y)

Guangxi Center for Animal Disease Control and Prevention, Nanning 530001, China.

Zongqiang Li (Z)

Department of Basic Veterinary Medicine, College of Animal Science and Technology, Guangxi University, Nanning 530005, China.

Classifications MeSH