Please use this identifier to cite or link to this item: https://doi.org/10.1186/s12864-017-3714-6
Title: A universal genome sequencing method for rotavirus A from human fecal samples which identifies segment reassortment and multi-genotype mixed infection
Authors: Dung T.T.N.
Duy P.T.
Sessions O.M. 
Sangumathi U.K. 
Phat V.V.
Tam P.T.T.
To N.T.N.
Phuc T.M.
Hong Chau T.T.
Chau N.N.M.
Minh N.N.
Thwaites G.E.
Rabaa M.A.
Baker S.
Keywords: Article
child
enzyme immunoassay
feces analysis
gene amplification
genetic reassortment
human
mixed infection
nonhuman
nucleic acid amplification
nucleotide sequence
phylogeny
randomized controlled trial (topic)
RNA extraction
Rotavirus A
Rotavirus infection
sequence analysis
unindexed sequence
virus genome
virus load
virus purification
feces
genetic reassortment
genetics
genomics
genotype
physiology
procedures
Rotavirus
virology
virus genome
complementary DNA
DNA, Complementary
Feces
Genome, Viral
Genomics
Genotype
Humans
Phylogeny
Reassortant Viruses
Rotavirus
Sequence Analysis, RNA
Viral Load
Issue Date: 2017
Publisher: BioMed Central Ltd.
Citation: Dung T.T.N., Duy P.T., Sessions O.M., Sangumathi U.K., Phat V.V., Tam P.T.T., To N.T.N., Phuc T.M., Hong Chau T.T., Chau N.N.M., Minh N.N., Thwaites G.E., Rabaa M.A., Baker S. (2017). A universal genome sequencing method for rotavirus A from human fecal samples which identifies segment reassortment and multi-genotype mixed infection. BMC Genomics 18 (1) : 324. ScholarBank@NUS Repository. https://doi.org/10.1186/s12864-017-3714-6
Abstract: Background: Genomic characterization of rotavirus (RoV) has not been adopted at large-scale due to the complexity of obtaining sequences for all 11 segments, particularly when feces are used as starting material. Methods: To overcome these limitations, we developed a novel RoV capture and genome sequencing method combining commercial enzyme immunoassay plates and a set of routinely used reagents. Results: Our approach had a 100% success rate, producing >90% genome coverage for diverse RoV present in fecal samples (Ct < 30). Conclusions: This method provides a novel, reproducible and comparatively simple approach for genomic RoV characterization and could be scaled-up for use in global RoV surveillance systems. Trial registration (prospectively registered): Current Controlled Trials ISRCTN88101063. Date of registration: 14/06/2012 © 2017 The Author(s).
Source Title: BMC Genomics
URI: https://scholarbank.nus.edu.sg/handle/10635/173848
ISSN: 14712164
DOI: 10.1186/s12864-017-3714-6
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