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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 |
Appears in Collections: | Elements Staff Publications |
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