Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/106754
Title: Application of a targeted-enrichment methodology for full-genome sequencing of Dengue 1-4, Chikungunya and Zika viruses directly from patient samples
Authors: Kamaraj, Uma Sangumathi
Tan, Jun Hao
Pan, Louise
Chawla, Tanu
Ong, Xin Mei
Uehara, Anna
Wang, Lin-Fa
Ooi, Eng Eong
Gubler, Duane J.
Tissera, Hasitha
Ng, Lee Ching
Wilder-Smith, Annelies
de Sessions, Paola Florez
Barkham, Timothy
Anderson, Danielle E.
Sessions, October Michael
Keywords: Genomic Libraries
Chikungunya Virus
DRNTU::Science::Medicine
Issue Date: 2019
Source: Kamaraj, U. S., Tan, J. H., Ong, X. M., Pan, L., Chawla, T., Uehara, A., . . . Sessions, O. M. (2019). Application of a targeted-enrichment methodology for full-genome sequencing of Dengue 1-4, Chikungunya and Zika viruses directly from patient samples. PLOS Neglected Tropical Diseases, 13(4), e0007184-. doi:10.1371/journal.pntd.0007184
Series/Report no.: PLOS Neglected Tropical Diseases
Abstract: The frequency of epidemics caused by Dengue viruses 1–4, Zika virus and Chikungunya viruses have been on an upward trend in recent years driven primarily by uncontrolled urbanization, mobility of human populations and geographical spread of their shared vectors, Aedes aegypti and Aedes albopictus. Infections by these viruses present with similar clinical manifestations making them challenging to diagnose; this is especially difficult in regions of the world hyperendemic for these viruses. In this study, we present a targeted-enrichment methodology to simultaneously sequence the complete viral genomes for each of these viruses directly from clinical samples. Additionally, we have also developed a customized computational tool (BaitMaker) to design these enrichment baits. This methodology is robust in its ability to capture diverse sequences and is amenable to large-scale epidemiological studies. We have applied this methodology to two large cohorts: a febrile study based in Colombo, Sri Lanka taken during the 2009–2015 dengue epidemic (n = 170) and another taken during the 2016 outbreak of Zika virus in Singapore (n = 162). Results from these studies indicate that we were able to cover an average of 97.04% ± 0.67% of the full viral genome from samples in these cohorts. We also show detection of one DENV3/ZIKV co-infected patient where we recovered full genomes for both viruses.
URI: https://hdl.handle.net/10356/106754
http://hdl.handle.net/10220/48951
ISSN: 1935-2727
DOI: 10.1371/journal.pntd.0007184
Rights: © 2019 Kamaraj et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:LKCMedicine Journal Articles

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