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

Viruses ◽  
2018 ◽  
Vol 10 (10) ◽  
pp. 566 ◽  
Author(s):  
Siemon Ng ◽  
Cassandra Braxton ◽  
Marc Eloit ◽  
Szi Feng ◽  
Romain Fragnoud ◽  
...  
Keyword(s):  
Sample Preparation ◽  
Nucleic Acids ◽  
High Throughput ◽  
High Throughput Sequencing ◽  
Virus Detection ◽  
Extraction Methods ◽  
Control Measures ◽  
Acid Extraction ◽  
Library Preparation ◽  
Sample Processing

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.

scholarly journals A Multicenter Study To Evaluate the Performance of High-Throughput Sequencing for Virus Detection

mSphere ◽  
2017 ◽  
Vol 2 (5) ◽  
Author(s):  
Arifa S. Khan ◽  
Siemon H. S. Ng ◽  
Olivier Vandeputte ◽  
Aisha Aljanahi ◽  
Avisek Deyati ◽  
...  
Keyword(s):  
Sample Preparation ◽  
Cell Line ◽  
High Throughput ◽  
Future Development ◽  
High Throughput Sequencing ◽  
Collaborative Study ◽  
Virus Detection ◽  
Biological Products ◽  
Reference Virus ◽  
Complex Technology

ABSTRACT Recent high-throughput sequencing (HTS) investigations have resulted in unexpected discoveries of known and novel viruses in a variety of sample types, including research materials, clinical materials, and biological products. Therefore, HTS can be a powerful tool for supplementing current methods for demonstrating the absence of adventitious or unwanted viruses in biological products, particularly when using a new cell line. However, HTS is a complex technology with different platforms, which needs standardization for evaluation of biologics. This collaborative study was undertaken to investigate detection of different virus types using two different HTS platforms. The results of the independently performed studies demonstrated a similar sensitivity of virus detection, regardless of the different sample preparation and processing procedures and bioinformatic analyses done in the three laboratories. Comparable HTS detection of different virus types supports future development of reference virus materials for standardization and validation of different HTS platforms. The capability of high-throughput sequencing (HTS) for detection of known and unknown viruses makes it a powerful tool for broad microbial investigations, such as evaluation of novel cell substrates that may be used for the development of new biological products. However, like any new assay, regulatory applications of HTS need method standardization. Therefore, our three laboratories initiated a study to evaluate performance of HTS for potential detection of viral adventitious agents by spiking model viruses in different cellular matrices to mimic putative materials for manufacturing of biologics. Four model viruses were selected based upon different physical and biochemical properties and commercial availability: human respiratory syncytial virus (RSV), Epstein-Barr virus (EBV), feline leukemia virus (FeLV), and human reovirus (REO). Additionally, porcine circovirus (PCV) was tested by one laboratory. Independent samples were prepared for HTS by spiking intact viruses or extracted viral nucleic acids, singly or mixed, into different HeLa cell matrices (resuspended whole cells, cell lysate, or total cellular RNA). Data were obtained using different sequencing platforms (Roche 454, Illumina HiSeq1500 or HiSeq2500). Bioinformatic analyses were performed independently by each laboratory using available tools, pipelines, and databases. The results showed that comparable virus detection was obtained in the three laboratories regardless of sample processing, library preparation, sequencing platform, and bioinformatic analysis: between 0.1 and 3 viral genome copies per cell were detected for all of the model viruses used. This study highlights the potential for using HTS for sensitive detection of adventitious viruses in complex biological samples containing cellular background. IMPORTANCE Recent high-throughput sequencing (HTS) investigations have resulted in unexpected discoveries of known and novel viruses in a variety of sample types, including research materials, clinical materials, and biological products. Therefore, HTS can be a powerful tool for supplementing current methods for demonstrating the absence of adventitious or unwanted viruses in biological products, particularly when using a new cell line. However, HTS is a complex technology with different platforms, which needs standardization for evaluation of biologics. This collaborative study was undertaken to investigate detection of different virus types using two different HTS platforms. The results of the independently performed studies demonstrated a similar sensitivity of virus detection, regardless of the different sample preparation and processing procedures and bioinformatic analyses done in the three laboratories. Comparable HTS detection of different virus types supports future development of reference virus materials for standardization and validation of different HTS platforms.

scholarly journals Adventitious Virus Detection in Cells by High-Throughput Sequencing of Newly Synthesized RNAs: Unambiguous Differentiation of Cell Infection from Carryover of Viral Nucleic Acids

mSphere ◽  
2019 ◽  
Vol 4 (3) ◽  
Author(s):  
Justine Cheval ◽  
Erika Muth ◽  
Gaëlle Gonzalez ◽  
Muriel Coulpier ◽  
Pascale Beurdeley ◽  
...  
Keyword(s):  
Nucleic Acids ◽  
High Throughput ◽  
High Throughput Sequencing ◽  
Rna Virus ◽  
Virus Detection ◽  
Analytical Sensitivity ◽  
Cell Infection ◽  
Biological Products ◽  
Viral Sequences ◽  
In Cells

ABSTRACTThe use of high-throughput sequencing (HTS) to identify viruses in biologicals differs from current molecular approaches, since its use enables an unbiased approach to detection without the need to design specific primers to preamplify target sequences. Its broad range of detection and analytical sensitivity make it an important tool to ensure that biologicals are free from adventitious viruses. Similar to other molecular methods, however, identification of viral sequences in cells by HTS does not prove viral infection, since this could reflect carryover of inert viral sequences from reagents or other sources or the presence of transcriptionally inactive cellular sequences. Due to the broad range of detection associated with HTS, the above can potentially be perceived as a drawback for the testing of pharmaceutical biological products using this method. In order to avoid the identification of inert viral sequences, we present a methodology based on metabolic RNA labeling and sequencing, which enables the specific identification of newly synthesized viral RNAs in infected cells, resulting in the ability to unambiguously distinguish active infection by DNA or RNA viruses from inert nucleic acids. In the present study, we report the ability to differentiate Vero cells acutely infected by a single-stranded positive-sense RNA virus (tick-borne encephalitis virus) from cells which have been in contact with nonreplicating virus particles. Additionally, we also found a laboratory contamination by the squirrel monkey retrovirus of our Vero cell line, which was derived from an Old World (African green) monkey, a type of contamination which until now has been identified only in cells derived from primates from the New World.IMPORTANCEThe use of high-throughput sequencing (HTS) to identify viral contamination of biological products is extremely sensitive and provides a broad range of detection. Nevertheless, viral sequences identified can also be inert. Examples include contamination resulting from reagents or the presence of inactivated viruses in animal-derived components of the cell culture medium. We therefore developed a method that relies on the sequencing of newly synthesized RNAs, an unequivocal sign of the presence of a transcriptionally active virus. This improvement in the specificity of viral testing increases the acceptability of HTS as a standard test for cells used in manufacturing biologicals and in biotherapies.

scholarly journals Virome Capture Sequencing Enables Sensitive Viral Diagnosis and Comprehensive Virome Analysis

mBio ◽  
2015 ◽  
Vol 6 (5) ◽  
Author(s):  
Thomas Briese ◽  
Amit Kapoor ◽  
Nischay Mishra ◽  
Komal Jain ◽  
Arvind Kumar ◽  
...  
Keyword(s):  
Nucleic Acids ◽  
High Throughput ◽  
High Throughput Sequencing ◽  
Viral Infections ◽  
Limit Of Detection ◽  
Virus Detection ◽  
Fold Increase ◽  
Sequencing Platform ◽  
Oligonucleotide Library ◽  
Capture Sequencing

ABSTRACT Insensitivity and technical complexity have impeded the implementation of high-throughput nucleic acid sequencing in differential diagnosis of viral infections in clinical laboratories. Here, we describe the development of a virome capture sequencing platform for vertebrate viruses (VirCapSeq-VERT) that increases the sensitivity of sequence-based virus detection and characterization. The system uses ~2 million probes that cover the genomes of members of the 207 viral taxa known to infect vertebrates, including humans. A biotinylated oligonucleotide library was synthesized on the NimbleGen cleavable array platform and used for solution-based capture of viral nucleic acids present in complex samples containing variable proportions of viral and host nucleic acids. The use of VirCapSeq-VERT resulted in a 100- to 10,000-fold increase in viral reads from blood and tissue homogenates compared to conventional Illumina sequencing using established virus enrichment procedures, including filtration, nuclease treatments, and RiboZero rRNA subtraction. VirCapSeq-VERT had a limit of detection comparable to that of agent-specific real-time PCR in serum, blood, and tissue extracts. Furthermore, the method identified novel viruses whose genomes were approximately 40% different from the known virus genomes used for designing the probe library. The VirCapSeq-VERT platform is ideally suited for analyses of virome composition and dynamics.IMPORTANCEVirCapSeq-VERT enables detection of viral sequences in complex sample backgrounds, including those found in clinical specimens, such as serum, blood, and tissue. The highly multiplexed nature of the system allows both the simultaneous identification and the comprehensive genetic characterization of all known vertebrate viruses, their genetic variants, and novel viruses. The operational simplicity and efficiency of the VirCapSeq-VERT platform may facilitate transition of high-throughput sequencing to clinical diagnostic as well as research applications.

scholarly journals Optimised biomolecular extraction for metagenomic analysis of microbial biofilms from high-mountain streams

PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e9973
Author(s):  
Susheel Bhanu Busi ◽  
Paraskevi Pramateftaki ◽  
Jade Brandani ◽  
Stilianos Fodelianakis ◽  
Hannes Peter ◽  
...  
Keyword(s):  
High Throughput ◽  
High Throughput Sequencing ◽  
Extreme Environments ◽  
Extraction Methods ◽  
Ecosystem Functions ◽  
High Mountain ◽  
Acid Extraction ◽  
Microbial Life ◽  
Microbial Biofilms ◽  
Taxonomic Profile

Glacier-fed streams (GFS) are harsh ecosystems dominated by microbial life organized in benthic biofilms, yet the biodiversity and ecosystem functions provided by these communities remain under-appreciated. To better understand the microbial processes and communities contributing to GFS ecosystems, it is necessary to leverage high throughput sequencing. Low biomass and high inorganic particle load in GFS sediment samples may affect nucleic acid extraction efficiency using extraction methods tailored to other extreme environments such as deep-sea sediments. Here, we benchmarked the utility and efficacy of four extraction protocols, including an up-scaled phenol-chloroform protocol. We found that established protocols for comparable sample types consistently failed to yield sufficient high-quality DNA, delineating the extreme character of GFS. The methods differed in the success of downstream applications such as library preparation and sequencing. An adapted phenol-chloroform-based extraction method resulted in higher yields and better recovered the expected taxonomic profile and abundance of reconstructed genomes when compared to commercially-available methods. Affordable and straight-forward, this method consistently recapitulated the abundance and genomes of a mock community, including eukaryotes. Moreover, by increasing the amount of input sediment, the protocol is readily adjustable to the microbial load of the processed samples without compromising protocol efficiency. Our study provides a first systematic and extensive analysis of the different options for extraction of nucleic acids from glacier-fed streams for high-throughput sequencing applications, which may be applied to other extreme environments.

scholarly journals Optimised biomolecular extraction for metagenomic analysis of microbial biofilms from high-mountain streams

2020 ◽  
Author(s):  
Susheel Bhanu Busi ◽  
Paraskevi Pramateftaki ◽  
Jade Brandani ◽  
Stylianos Fodelianakis ◽  
Hannes Peter ◽  
...  
Keyword(s):  
High Throughput ◽  
High Throughput Sequencing ◽  
Extreme Environments ◽  
Extraction Methods ◽  
Ecosystem Functions ◽  
High Mountain ◽  
Acid Extraction ◽  
Microbial Life ◽  
Microbial Biofilms ◽  
Taxonomic Profile

AbstractGlacier-fed streams (GFS) are harsh ecosystems dominated by microbial life organized in benthic biofilms, yet the biodiversity and ecosystem functions provided by these communities remain under-appreciated. To better understand the microbial processes and communities contributing to GFS ecology, it is necessary to leverage high throughput sequencing. Low biomass and high inorganic particle load in GFS sediment samples may affect nucleic acid extraction efficiency using extraction methods tailored to other extreme environments such as deep-sea sediments. Here, we benchmarked the utility and efficacy of four extraction protocols, including an up-scaled phenol-chloroform protocol. We found that established protocols for comparable sample types consistently failed to yield sufficient high-quality DNA, delineating the extreme character of GFS. The methods differed in the success of downstream applications such as library preparation and sequencing. An adapted phenol-chloroform-based extraction method resulted in higher yields and better recovered the expected taxonomic profile and abundance of reconstructed genomes when compared to commercially-available methods. Affordable and straight-forward, this method consistently recapitulated the abundance and genomes of a “mock” community, including eukaryotes. Moreover, by increasing the amount of input sediment, the protocol is readily adjustable to the microbial load of the processed samples without compromising protocol efficiency. Our study provides a first systematic and extensive analysis of the different options for extraction of nucleic acids from glacier-fed streams for high-throughput sequencing applications, which may be applied to other extreme environments.

scholarly journals Interlaboratory Comparison Study on Ribodepleted Total RNA High-Throughput Sequencing for Plant Virus Diagnostics and Bioinformatic Competence

Pathogens ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 1174
Author(s):  
Yahya Z. A. Gaafar ◽  
Marcel Westenberg ◽  
Marleen Botermans ◽  
Krizbai László ◽  
Kris De Jonghe ◽  
...  
Keyword(s):  
Sample Preparation ◽  
High Throughput ◽  
Ribosomal Rna ◽  
Diagnostic Tool ◽  
Plant Virus ◽  
High Throughput Sequencing ◽  
Interlaboratory Comparison ◽  
Virus Detection ◽  
Plant Viruses ◽  
Comparison Study

High-throughput sequencing (HTS) technologies and bioinformatic analyses are of growing interest to be used as a routine diagnostic tool in the field of plant viruses. The reliability of HTS workflows from sample preparation to data analysis and results interpretation for plant virus detection and identification must be evaluated (verified and validated) to approve this tool for diagnostics. Many different extraction methods, library preparation protocols, and sequence and bioinformatic pipelines are available for virus sequence detection. To assess the performance of plant virology diagnostic laboratories in using the HTS of ribosomal RNA depleted total RNA (ribodepleted totRNA) as a diagnostic tool, we carried out an interlaboratory comparison study in which eight participants were required to use the same samples, (RNA) extraction kit, ribosomal RNA depletion kit, and commercial sequencing provider, but also their own bioinformatics pipeline, for analysis. The accuracy of virus detection ranged from 65% to 100%. The false-positive detection rate was very low and was related to the misinterpretation of results as well as to possible cross-contaminations in the lab or sequencing provider. The bioinformatic pipeline used by each laboratory influenced the correct detection of the viruses of this study. The main difficulty was the detection of a novel virus as its sequence was not available in a publicly accessible database at the time. The raw data were reanalysed using Virtool to assess its ability for virus detection. All virus sequences were detected using Virtool in the different pools. This study revealed that the ribodepletion target enrichment for sample preparation is a reliable approach for the detection of plant viruses with different genomes. A significant level of virology expertise is needed to correctly interpret the results. It is also important to improve and complete the reference data

Comparison of high throughput sequencing to standard protocols for virus detection in berry crops

Plant Disease ◽  
2021 ◽  
Author(s):  
Dan Edward Veloso Villamor ◽  
Karen E Keller ◽  
Robert Martin ◽  
Ioannis Emmanouil Tzanetakis
Keyword(s):  
High Throughput ◽  
High Throughput Sequencing ◽  
Wide Spectrum ◽  
Virus Detection ◽  
Rt Pcr ◽  
Host Interactions ◽  
Growing Seasons ◽  
Berry Crops ◽  
Sampling Times ◽  
Better Than

A comprehensive study comparing virus detection between high throughput sequencing (HTS) and standard protocols in 30 berry selections (12 Fragaria, 10 Vaccinium and 8 Rubus) with known virus profiles was completed. The study examined temporal detection of viruses at four sampling times encompassing two growing seasons. Within the standard protocols, RT-PCR proved better than biological indexing. Detection of known viruses by HTS and RT-PCR nearly mirrored each other. HTS provided superior detection compared to RT-PCR on a wide spectrum of virus variants and discovery of novel viruses. More importantly, in most cases where the two protocols showed parallel virus detection, 11 viruses in 16 berry selections were not consistently detected by both methods at all sampling points. Based on these data we propose a four sampling times/two-year testing requirement for berry and potentially other crops to ensure that no virus remains undetected independent of titer, distribution or other virus/virus or virus/host interactions.

scholarly journals Extraction and high-throughput sequencing of oak heartwood DNA: Assessing the feasibility of genome-wide DNA methylation profiling

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0254971
Author(s):  
Federico Rossi ◽  
Alessandro Crnjar ◽  
Federico Comitani ◽  
Rodrigo Feliciano ◽  
Leonie Jahn ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Tree Ring ◽  
High Throughput ◽  
Environmental Conditions ◽  
High Throughput Sequencing ◽  
Wood Formation ◽  
Whole Genome ◽  
Library Preparation ◽  
Bisulfite Treatment ◽  
Standing Trees

Tree ring features are affected by environmental factors and therefore are the basis for dendrochronological studies to reconstruct past environmental conditions. Oak wood often provides the data for these studies because of the durability of oak heartwood and hence the availability of samples spanning long time periods of the distant past. Wood formation is regulated in part by epigenetic mechanisms such as DNA methylation. Studies of the methylation state of DNA preserved in oak heartwood thus could identify epigenetic tree ring features informing on past environmental conditions. In this study, we aimed to establish protocols for the extraction of DNA, the high-throughput sequencing of whole-genome DNA libraries (WGS) and the profiling of DNA methylation by whole-genome bisulfite sequencing (WGBS) for oak (Quercus robur) heartwood drill cores taken from the trunks of living standing trees spanning the AD 1776-2014 time period. Heartwood contains little DNA, and large amounts of phenolic compounds known to hinder the preparation of high-throughput sequencing libraries. Whole-genome and DNA methylome library preparation and sequencing consistently failed for oak heartwood samples more than 100 and 50 years of age, respectively. DNA fragmentation increased with sample age and was exacerbated by the additional bisulfite treatment step during methylome library preparation. Relative coverage of the non-repetitive portion of the oak genome was sparse. These results suggest that quantitative methylome studies of oak hardwood will likely be limited to relatively recent samples and will require a high sequencing depth to achieve sufficient genome coverage.

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