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Unbiased whole-genome deep sequencing of human and porcine stool samples reveals circulation of multiple groups of rotaviruses and a putative zoonotic infection

Authors :
Juliet E. Bryant
Maia A. Rabaa
Phuc Tran My
Guy E. Thwaites
Paul Kellam
Nguyen Van Cuong
Mark E. J. Woolhouse
My V. T. Phan
Tue Ngo Tri
Lia van der Hoek
Bas B. Oude Munnink
Pham Hong Anh
Stephen Baker
Matthew Cotten
Wellcome Trust
Medical Microbiology and Infection Prevention
Amsterdam institute for Infection and Immunity
Source :
Virus Evolution, BASE-Bielefeld Academic Search Engine, Virus evolution, 2(2). Oxford University Press
Publication Year :
2016

Abstract

Coordinated and synchronous virological surveillance for zoonotic viruses in both human clinical cases and animal reservoirs provides an opportunity to identify interspecies virus movement. Rotavirus is an important cause of viral gastroenteritis in humans and animals. We have documented the rotavirus diversity within co-located humans and animals sampled from the Mekong delta region of Vietnam using a primer-independent, agnostic, deep sequencing approach. A total of 296 stool samples (146 from diarrhoeal human patients and 150 from pigs living in the same geographical region) were directly sequenced, generating the genomic sequences of 60 human rotaviruses (all group A) and 31 porcine rotaviruses (13 group A, 7 group B, 6 group C and 5 group H). Phylogenetic analyses showed the co-circulation of multiple distinct rotavirus group A (RVA) genotypes/strains, many of which were divergent from the strain components of licensed RVA vaccines, as well as considerable virus diversity in pigs including full genomes of rotaviruses in groups B, C and H, none of which have been previously reported in Vietnam. Furthermore the detection of an atypical RVA genotype constellation (G4-P[6]-I1-R1-C1-M1-A8-N1-T7-E1-H1) in a human patient and a pig from the same region provides some evidence for a zoonotic event

Details

Language :
English
ISSN :
20571577
Volume :
2
Issue :
2
Database :
OpenAIRE
Journal :
Virus Evolution
Accession number :
edsair.doi.dedup.....26c5d7e8894961949201c46a55c824a5