A sequence database allowing automated genotyping of Classical swine fever virus isolates

Classical swine fever (CSF) is a highly contagious viral disease of pigs. According to the OIE classification of diseases it is classified as a notifiable (previously List A) disease, thus having the potential for causing severe socio-economic problems and affecting severely the international trade...

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Bibliographic Details
Published in:Journal of virological methods Vol. 140; no. 1; pp. 95 - 99
Main Authors: Dreier, Sabrina, Zimmermann, Bernd, Moennig, Volker, Greiser-Wilke, Irene
Format: Journal Article
Language:English
Published: London Elsevier B.V 01-03-2007
Amsterdam Elsevier
New York, NY
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Summary:Classical swine fever (CSF) is a highly contagious viral disease of pigs. According to the OIE classification of diseases it is classified as a notifiable (previously List A) disease, thus having the potential for causing severe socio-economic problems and affecting severely the international trade of pigs and pig products. Effective control measures are compulsory, and to expose weaknesses a reliable tracing of the spread of the virus is necessary. Genetic typing has proved to be the method of choice. However, genotyping involves the use of multiple software applications, which is laborious and complex. The implementation of a sequence database, which is accessible by the World Wide Web with the option to type automatically new CSF virus isolates once the sequence is available is described. The sequence to be typed is tested for correct orientation and, if necessary, adjusted to the right length. The alignment and the neighbor-joining phylogenetic analysis with a standard set of sequences can then be calculated. The results are displayed as a graph. As an example, the determination is shown of the genetic subgroup of the isolate obtained from the outbreaks registered in Russia, in 2005. After registration ( Irene.greiser-wilke@tiho-hannover.de) the database including the module for genotyping are accessible under http://viro08.tiho-hannover.de/eg/eurl_virus_db.htm.
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ISSN:0166-0934
1879-0984
DOI:10.1016/j.jviromet.2006.11.013