Free Access
Vet. Res.
Volume 34, Number 2, March-April 2003
Page(s) 203 - 212
How to cite this article Vet. Res. (2003) 203-212
Vet. Res. 34 (2003) 203-212
DOI: 10.1051/vetres:2002067

Classification of Dutch and German avian reoviruses by sequencing the $\sigma$ C protein

Arie Kanta, Francis Balkb, Leontine Bornb, Dirk van Roozelaarb, Jos Heijmansc, Arno Gielkensb and Agnes ter Huurneb

a  CIDC-Lelystad, Central Institute for Animal Disease Control Lelystad, PO Box 2004, 8203 AA Lelystad, The Netherlands
b  ID-Lelystad BV, Institute for Animal Science and Health, PO Box 65, 8200 AB Lelystad, The Netherlands
c  Animal Health Service, PO Box 9, 7400 AA Deventer, The Netherlands

(Received 15 July 2002; accepted 18 October 2002)

We have amplified, cloned and sequenced (part of) the open reading frame of the S1 segment encoding the $\sigma$ C protein of avian reoviruses isolated from chickens with different disease conditions in Germany and The Netherlands during 1980 up to 2000. These avian reoviruses were analysed phylogenetically and compared with sequences of avian reoviruses in the Genbank database. The avian reoviruses could be grouped in 5 different genotyping clusters and this classification was identical when the sequences were compared of the 5 ' end, the 3 ' end or the whole open reading frame of the $\sigma$ C protein. Therefore sequencing of either part of the gene encoding the $\sigma$ C protein seems to be reliable for classification. We were unable to identify a correlation between $\sigma$ C sequences of the avian reoviruses and the disease condition they were isolated from. The sequences found in The Netherlands and in Germany are, like those in Taiwan, more dispersed than the known avian reovirus $\sigma$ C sequences in the USA and Australia. We did not establish temporal or geographic differences in the avian reoviruses studied.

Key words: avian reovirus / malabsorption syndrome / tenosynovitis / $\sigma$ C gene / genotype

Correspondence and reprints: Arie Kant Tel.: (31) 320 238800; fax: (31) 320 238094;

© INRA, EDP Sciences 2003

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.