Related Experiment Video
Updated: Apr 15, 2026

Unbiased Deep Sequencing of RNA Viruses from Clinical Samples
Published on: July 2, 2016
Use of S1 nuclease in deep sequencing for detection of double-stranded RNA viruses
Saya Shimada1, Makoto Nagai, Hiromitsu Moriyama
1Laboratory of Epizootiology, Cooperative Department of Veterinary Medicine Faculty and Agriculture, Tokyo University of Agriculture and Technology, Saiwai, Fuchu, Tokyo 183-8509, Japan.
Abstract:
Metagenomic approach using next-generation DNA sequencing has facilitated the detection of many pathogenic viruses from fecal samples. However, in many cases, majority of the detected sequences originate from the host genome and bacterial flora in the gut. Here, to improve efficiency of the detection of double-stranded (ds) RNA viruses from samples, we evaluated the applicability of S1 nuclease on deep sequencing. Treating total RNA with S1 nuclease resulted in 1.5-28.4- and 10.1-208.9-fold increases in sequence reads of group A rotavirus in fecal and viral culture samples, respectively. Moreover, increasing coverage of mapping to reference sequences allowed for sufficient genotyping using analytical software. These results suggest that library construction using S1 nuclease is useful for deep sequencing in the detection of dsRNA viruses.
Related Concept Videos
RNA-seq
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
Sanger Sequencing
Viruses with RNA Genomes

