AUTHOR=Kovács Edit , Varga-Kugler Renáta , Mató Tamás , Homonnay Zalán , Tatár-Kis Tímea , Farkas Szilvia , Kiss István , Bányai Krisztián , Palya Vilmos TITLE=Identification of the main genetic clusters of avian reoviruses from a global strain collection JOURNAL=Frontiers in Veterinary Science VOLUME=Volume 9 - 2022 YEAR=2023 URL=https://www.frontiersin.org/journals/veterinary-science/articles/10.3389/fvets.2022.1094761 DOI=10.3389/fvets.2022.1094761 ISSN=2297-1769 ABSTRACT=The present study describes an avian reovirus (ARV) collection comprising over 200 isolates from diagnostic samples collected over (1) a decade from 34 (1) countries worldwide. The samples represented not only arthritis/tenosynovitis and runting-stunting syndrome, but also respiratory symptoms, egg production problems, and undefined disease conditions accompanied with increased mortality, and were obtained from broiler, layer or breeder flocks. In 31 percent of the cases other viral or bacterial agents were demonstrated besides ARV. The most frequent co-infectious agent was infectious bronchitis virus followed by infectious bursal disease virus and adenoviruses. One hundred and thirty-six ARV isolates were characterized based on σC sequences. All isolates could be classified in one of the major genetic clusters, although we observed marked discrepancies in the genotyping systems currently in use, a finding that made genotype assignment challenging. Reovirus related clinical symptoms could not be unequivocally connected to any particular virus strains belonging to a specific genetic group, suggesting the lack of strict association between disease forms of ARV infection and the investigated (2) genetic features of ARV strains. Also, large genetic differences were seen between field and vaccine strains (1,2). The presented findings reinforce the need to establish a uniform, widely accepted molecular classification scheme for ARV and further, highlight the need for ARV strain identification to support more efficient control measures (1,2,3).