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Genome constellations of rotavirus a isolated from avian species in Brazil, 2008-2015

  • Laila A. R. Beserra
  • , Carla M. Barbosa
  • , Mikael Berg
  • , Paulo E. Brandao
  • , Rodrigo M. Soares
  • , Fabio Gregori

    Publication: Contribution to journalJournal articlepeer-review

    Abstract

    Rotaviruses are members of the family Reoviridae and are a common cause of acute diarrhea in many mammalian and avian species. They are non-enveloped icosahedral particles and their genome comprises 11 segments of double-stranded RNA, which encodes six structural proteins (VP1-4, VP6-7) and six nonstructural proteins (NSP1-6). Genotypes are defined based upon the diversity found in these genes and viral characterization plays a central role on epidemiological studies and prevention. Here we investigate the distribution of Brazilian RVAs genotypes in 8 chicken samples collected between 2008 and 2015 from different regions by RT-PCR, partial (Sanger) nucleotide sequencing and phylogenetic analysis from all rotavirus genes. Although the identified genotypes were typical from avian host species, when analyzed together, they form novel genetic constellations: G19-P[31]-I11-R6-C6-M7-A16-N6-T8-E10-H8 and G19-P[31]-I4-R4-C4-M4-A16-N4-T4-E4-H4. This study highlights that avian rotaviruses are widespread among commercial farms in Brazil, and the co-circulation of at least two different genomic constellations indicates that may present a way bigger genetic variability, that can be increased by the possible transmission events from other birds, lack of specific preventive measures, as well as the different viral evolution mechanisms.
    Original languageEnglish
    Pages (from-to)1363-1375
    Number of pages13
    JournalBrazilian Journal of Microbiology
    Volume51
    Issue number3
    DOIs
    Publication statusPublished - 2020

    Bibliographical note

    Correction in: Brazilian Journal of Microbiology, 2020, DOI: 10.1007/s42770-020-00407-w

    Keywords

    • Rotavirus
    • Avian
    • Diversity
    • Genotypes
    • Sequence analysis
    • Phylogeny

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