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dc.contributor.authorMósena, Ana Cristina Sbarainipt_BR
dc.contributor.authorFalkenberg, Shollie M.pt_BR
dc.contributor.authorMa, Haopt_BR
dc.contributor.authorCasas, Eduardopt_BR
dc.contributor.authorDassanayake, Rohana P.pt_BR
dc.contributor.authorBooth, Richardpt_BR
dc.contributor.authorDe Mia, Gian Mariopt_BR
dc.contributor.authorSchweizer, Matthiaspt_BR
dc.contributor.authorCanal, Cláudio Wageckpt_BR
dc.contributor.authorNeill, John D.pt_BR
dc.date.accessioned2021-12-15T04:26:50Zpt_BR
dc.date.issued2022pt_BR
dc.identifier.issn0166-0934pt_BR
dc.identifier.urihttp://hdl.handle.net/10183/233003pt_BR
dc.description.abstractBovine 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.en
dc.format.mimetypeapplication/pdfpt_BR
dc.language.isoengpt_BR
dc.relation.ispartofJournal of virological methods. Amsterdam. Vol. 299 (Jan. 2022), 114328, 10 p.pt_BR
dc.rightsOpen Accessen
dc.subjectPrincipal component analysisen
dc.subjectAnálise de componente principalpt_BR
dc.subjectAnálise multivariadapt_BR
dc.subjectAntigenic characterizationen
dc.subjectBovine viral diarrhea virusen
dc.subjectAntígenos viraispt_BR
dc.subjectVirus neutralizationen
dc.subjectVírus da diarréia viral bovina tipo 1pt_BR
dc.subjectCross neutralizationen
dc.subjectVírus da diarréia viral bovina tipo 2pt_BR
dc.subjectTestes de neutralizaçãopt_BR
dc.subjectVacinaspt_BR
dc.titleUse of multivariate analysis to evaluate antigenic relationships between US BVDV vaccine strains and non-US genetically divergent isolatespt_BR
dc.typeArtigo de periódicopt_BR
dc.identifier.nrb001133969pt_BR
dc.type.originEstrangeiropt_BR


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