Title
Genetic diversity of human sapovirus across the Americas
Date Issued
01 July 2018
Access level
open access
Resource Type
journal article
Author(s)
Diez-Valcarce M.
Castro C.J.
Marine R.L.
Halasa N.
Tsaknaridis L.
Pan C.Y.
Bucardo F.
Becker-Dreps S.
Lopez M.R.
Magaña L.C.
Ng T.F.F.
Vinjé J.
Publisher(s)
Elsevier B.V.
Abstract
Background: Sapoviruses are responsible for sporadic and epidemic acute gastroenteritis worldwide. Sapovirus typing protocols have a success rate as low as 43% and relatively few complete sapovirus genome sequences are available to improve current typing protocols. Objective/study design: To increase the number of complete sapovirus genomes to better understand the molecular epidemiology of human sapovirus and to improve the success rate of current sapovirus typing methods, we used deep metagenomics shotgun sequencing to obtain the complete genomes of 68 sapovirus samples from four different countries across the Americas (Guatemala, Nicaragua, Peru and the US). Results: VP1 genotyping showed that all sapovirus sequences could be grouped in the four established genogroups (GI (n = 13), GII (n = 30), GIV (n = 23), GV (n = 2)) that infect humans. They include the near-complete genome of a GI.6 virus and a recently reported novel GII.8 virus. Sequences of the complete RNA-dependent RNA polymerase gene could be grouped into three major genetic clusters or polymerase (P) types (GI.P, GII.P and GV.P) with all GIV viruses harboring a GII polymerase. One (GII.P-GII.4) of the new 68 sequences was a recombinant virus with the hotspot between the NS7 and VP1 regions. Conclusions: Analyses of this expanded database of near-complete sapovirus sequences showed several mismatches in the genotyping primers, suggesting opportunities to revisit and update current sapovirus typing methods.
Start page
65
End page
72
Volume
104
Language
English
OCDE Knowledge area
Genética, Herencia
Virología
Subjects
Scopus EID
2-s2.0-85046635982
PubMed ID
Source
Journal of Clinical Virology
ISSN of the container
13866532
Sponsor(s)
We thank Nikkail Collins for technical assistance. This work was made possible through support from the Advanced Molecular Detection (AMD) program at the CDC. This research was also supported in part by an appointment to the Research Participation Program at the CDC administered by the Oak Ridge Institute for Science and Education (ORISE) through an interagency agreement between the U.S. Department of Energy and the CDC.
Sources of information:
Directorio de Producción Científica
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