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Current Perspectives on High-Throughput Sequencing (HTS) for Adventitious Virus Detection: Upstream Sample Processing and Library Preparation

Authors :
Siemon H. Ng
Cassandra Braxton
Marc Eloit
Szi Fei Feng
Romain Fragnoud
Laurent Mallet
Edward T. Mee
Sarmitha Sathiamoorthy
Olivier Vandeputte
Arifa S. Khan
Source :
Viruses, Vol 10, Iss 10, p 566 (2018)
Publication Year :
2018
Publisher :
MDPI AG, 2018.

Abstract

A key step for broad viral detection using high-throughput sequencing (HTS) is optimizing the sample preparation strategy for extracting viral-specific nucleic acids since viral genomes are diverse: They can be single-stranded or double-stranded RNA or DNA, and can vary from a few thousand bases to over millions of bases, which might introduce biases during nucleic acid extraction. In addition, viral particles can be enveloped or non-enveloped with variable resistance to pre-treatment, which may influence their susceptibility to extraction procedures. Since the identity of the potential adventitious agents is unknown prior to their detection, efficient sample preparation should be unbiased toward all different viral types in order to maximize the probability of detecting any potential adventitious viruses using HTS. Furthermore, the quality assessment of each step for sample processing is also a critical but challenging aspect. This paper presents our current perspectives for optimizing upstream sample processing and library preparation as part of the discussion in the Advanced Virus Detection Technologies Interest group (AVDTIG). The topics include: Use of nuclease treatment to enrich for encapsidated nucleic acids, techniques for amplifying low amounts of virus nucleic acids, selection of different extraction methods, relevant controls, the use of spike recovery experiments, and quality control measures during library preparation.

Details

Language :
English
ISSN :
19994915
Volume :
10
Issue :
10
Database :
Directory of Open Access Journals
Journal :
Viruses
Publication Type :
Academic Journal
Accession number :
edsdoj.0aafc75f3d7145d1933a2feff0a8d8b2
Document Type :
article
Full Text :
https://doi.org/10.3390/v10100566