Use of multivariate analysis to evaluate antigenic relationships between US BVDV vaccine strains and non-US genetically divergent isolates
Autor: | Rohana P. Dassanayake, Shollie M. Falkenberg, Eduardo Casas, Gian Mario De Mia, Richard Booth, Hao Ma, Ana Cristina S. Mosena, John D. Neill, Cláudio Wageck Canal, Matthias Schweizer |
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Jazyk: | angličtina |
Rok vydání: | 2022 |
Předmět: |
Antigenic characterization
animal diseases viruses Principal component analysis 610 Medicine & health complex mixtures Virus Antigen Phylogenetics Virology Animals Diarrhea Virus 2 Bovine Viral Análise multivariada Phylogeny Genetics Vaccines Genetic diversity Diarrhea Viruses Bovine Viral biology 630 Agriculture Vírus da diarréia viral bovina tipo 2 Diarrhea Virus 1 Bovine Viral Vírus da diarréia viral bovina tipo 1 Pestivirus Dendrogram virus diseases Testes de neutralização Análise de componente principal biochemical phenomena metabolism and nutrition 500 Science biology.organism_classification Virus neutralization Antígenos virais Vaccination Cross neutralization Titer Vacinas Multivariate Analysis 570 Life sciences 590 Animals (Zoology) Bovine Virus Diarrhea-Mucosal Disease Cattle Bovine viral diarrhea virus |
Zdroj: | Mosena, Ana Cristina S; Falkenberg, Shollie M; Ma, Hao; Casas, Eduardo; Dassanayake, Rohana P; Booth, Richard; De Mia, Gian Mario; Schweizer, Matthias; Canal, Cláudio W; Neill, John D (2022). Use of multivariate analysis to evaluate antigenic relationships between US BVDV vaccine strains and non-US genetically divergent isolates. Journal of virological methods, 299, p. 114328. Elsevier 10.1016/j.jviromet.2021.114328 Repositório Institucional da UFRGS Universidade Federal do Rio Grande do Sul (UFRGS) instacron:UFRGS |
DOI: | 10.1016/j.jviromet.2021.114328 |
Popis: | Bovine viral diarrhea virus (BVDV) comprises two species, BVDV-1 and BVDV-2. But given the genetic diversity among pestiviruses, at least 22 subgenotypes are described for BVDV-1 and 3-4 for BVDV-2. Genetic characterization is generally accomplished through complete or partial sequencing and phylogeny, but it is not a reliable method to define antigenic relationships. The traditional method for evaluating antigenic relationships between pestivirus isolates is the virus neutralization (VN) assay, but interpretation of the data to define antigenic relatedness can be difficult to discern for BVDV isolates within the same BVDV species. Data from this study utilized a multivariate analysis for visualization of VN results to analyze the antigenic relationships between US vaccine strains and field isolates from Switzerland, Italy, Brazil, and the UK. Polyclonal sera were generated against six BVDV strains currently contained in vaccine formulations, and each serum was used in VNs to measure the titers against seven vaccine strains (including the six homologous strains) and 23 BVDV field isolates. Principal component analysis (PCA) was performed using VN titers, and results were interpreted from PCA clustering within the PCA dendrogram and scatter plot. The results demonstrated clustering patterns among various isolates suggesting antigenic relatedness. As expected, the BVDV-1 and BVDV-2 isolates did not cluster together and had the greatest spatial distribution. Notably, a number of clusters representing antigenically related BVDV-1 subgroups contain isolates of different subgenotypes. The multivariate analysis may be a method to better characterize antigenic relationships among BVDV isolates that belong to the same BVDV species and do not have distinct antigenic differences. This might be an invaluable tool to ameliorate the composition of current vaccines, which might well be important for the success of any BVDV control program that includes vaccination in its scheme. |
Databáze: | OpenAIRE |
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