A universal genome sequencing method for rotavirus A from human fecal samples which identifies segment reassortment and multi-genotype mixed infection. 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. BMC genomics, 18(1):324, April, 2017.
doi  abstract   bibtex   
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 \textgreater90% genome coverage for diverse RoV present in fecal samples (Ct \textless 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.
@article{dung_universal_2017,
	title = {A universal genome sequencing method for rotavirus {A} from human fecal samples which identifies segment reassortment and multi-genotype mixed infection.},
	volume = {18},
	issn = {1471-2164 1471-2164},
	doi = {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 {\textgreater}90\% genome coverage for diverse RoV present in fecal samples (Ct {\textless} 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.},
	language = {eng},
	number = {1},
	journal = {BMC genomics},
	author = {Dung, Tran Thi Ngoc and Duy, Pham Thanh and Sessions, October M. and Sangumathi, Uma K. and Phat, Voong Vinh and Tam, Pham Thi Thanh and To, Nguyen Thi Nguyen and Phuc, Tran My and Hong Chau, Tran Thi and Chau, Nguyen Ngoc Minh and Minh, Ngoc Nguyen and Thwaites, Guy E. and Rabaa, Maia A. and Baker, Stephen},
	month = apr,
	year = {2017},
	pmid = {28438140},
	pmcid = {PMC5404283},
	keywords = {Antibody capture, Co-infection, Genome sequencing, Genomics, Phylogenetics, Reassortment, Rotavirus A},
	pages = {324},
}

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