Application of high-resolution melting curve analysis for identification of Muscovy duck parvovirus and goose parvovirus.
Goose parvovirus
HRM
Muscovy duck parvovirus
VP3 gene
Journal
Journal of virological methods
ISSN: 1879-0984
Titre abrégé: J Virol Methods
Pays: Netherlands
ID NLM: 8005839
Informations de publication
Date de publication:
04 2019
04 2019
Historique:
received:
26
06
2018
revised:
19
12
2018
accepted:
26
12
2018
pubmed:
15
1
2019
medline:
7
3
2020
entrez:
15
1
2019
Statut:
ppublish
Résumé
This study reports the findings of a high-resolution melting (HRM) curve analysis combined with PCR technique (PCR-HRM) to differentiate between Muscovy duck parvovirus (MDPV) and goose parvovirus (GPV). A degenerate primer set was designed based on the VP3 gene of MDPV and GPV. The PCR HRM assay was able to discriminate between MDPVs and GPVs by differences in melting curve shapes and melting temperatures. A total of forty-five clinical samples, passaged in the allantoic cavity of Muscovy duck eggs, were detected by the PCR-HRM assay. Among the 12 positive samples, two were identified as MDPV and two as GPV with high genotype confidence percentage (GCP) values. Seven positive samples had low GCP values for the melting curve analysis and were identified as co-infection samples. One of the 12 positive samples, designed GDNX strain, was identified as a variant strain with a divergent melting curve profile. To assess the capability of PCR-HRM assay to distinguish MDPV and GPV, fifty-two field samples were collected and examined. Seven samples were positive for MDPV and/or GPV. Thus, this developed assay was useful for discrimination of MDPVs and GPVs and can also be suitable for detecting co-infection samples.
Identifiants
pubmed: 30638587
pii: S0166-0934(18)30325-2
doi: 10.1016/j.jviromet.2018.12.018
pii:
doi:
Substances chimiques
Capsid Proteins
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
121-125Informations de copyright
Copyright © 2019 Elsevier B.V. All rights reserved.