Next-generation sequencing for virus detection : covering all the bases
dc.contributor.author | Visser, Marike | en_ZA |
dc.contributor.author | Bester, Rachelle | en_ZA |
dc.contributor.author | Burger, Johan T. | en_ZA |
dc.contributor.author | Maree, Hans J. | en_ZA |
dc.date.accessioned | 2016-06-15T12:09:24Z | |
dc.date.available | 2016-06-15T12:09:24Z | |
dc.date.issued | 2016-06 | |
dc.description | CITATION: Visser, M., et al. 2016. Next-generation sequencing for virus detection : covering all the base. Virology Journal, 13(1): 85, doi: 10.1186/s12985-016-0539-x. | |
dc.description | The original publication is available at http://bmcmusculoskeletdisord.biomedcentral.com | |
dc.description | Publication of this article was funded by the Stellenbosch University Open Access Fund. | |
dc.description.abstract | Background: The use of next-generation sequencing has become an established method for virus detection. Efficient study design for accurate detection relies on the optimal amount of data representing a significant portion of a virus genome. Findings: In this study, genome coverage at different sequencing depths was determined for a number of viruses, viroids, hosts and sequencing library types, using both read-mapping and de novo assembly-based approaches. The results highlighted the strength of ribo-depleted RNA and sRNA in obtaining saturated genome coverage with the least amount of data, while even though the poly(A)-selected RNA yielded virus-derived reads, it was insufficient to cover the complete genome of a non-polyadenylated virus. The ribo-depleted RNA data also outperformed the sRNA data in terms of the percentage of coverage that could be obtained particularly with the de novo assembled contigs. Conclusion: Our results suggest the use of ribo-depleted RNA in a de novo assembly-based approach for the detection of single-stranded RNA viruses. Furthermore, we suggest that sequencing one million reads will provide sufficient genome coverage specifically for closterovirus detection. | en_ZA |
dc.description.version | Publisher's version | |
dc.format.extent | 6 pages | |
dc.identifier.citation | Visser, M., et al. 2016. Next-generation sequencing for virus detection : covering all the base. Virology Journal, 13(1): 85, doi: 10.1186/s12985-016-0539-x | |
dc.identifier.issn | 1743-422X (online) | |
dc.identifier.issn | 1743-422X (print) | |
dc.identifier.other | doi: 10.1186/s12985-016-0539-x | |
dc.identifier.uri | http://hdl.handle.net/10019.1/99041 | |
dc.language.iso | en_ZA | en_ZA |
dc.publisher | BioMed Central | |
dc.rights.holder | Authors retain copyright | |
dc.subject | Closterovirus | en_ZA |
dc.subject | Genome coverage | en_ZA |
dc.subject | GLRaV-3 | en_ZA |
dc.subject | Next-generation sequencing | en_ZA |
dc.subject | Sequencing depth | en_ZA |
dc.subject | Virus detection | en_ZA |
dc.title | Next-generation sequencing for virus detection : covering all the bases | en_ZA |
dc.type | Article | en_ZA |