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 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 PRIME-3D2D is a 3D2D model to predict binding sites of protein–RNA interaction

2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Juan Xie ◽  
Jinfang Zheng ◽  
Xu Hong ◽  
Xiaoxue Tong ◽  
Shiyong Liu
Keyword(s):  
Full Advantage ◽  
High Throughput ◽  
Binding Sites ◽  
High Throughput Sequencing ◽  
Secondary Structures ◽  
Biological Processes ◽  
Genome Wide ◽  
Rna Interaction ◽  
Rna Complexes ◽  
Better Than

AbstractProtein-RNA interaction participates in many biological processes. So, studying protein–RNA interaction can help us to understand the function of protein and RNA. Although the protein–RNA 3D3D model, like PRIME, was useful in building 3D structural complexes, it can’t be used genome-wide, due to lacking RNA 3D structures. To take full advantage of RNA secondary structures revealed from high-throughput sequencing, we present PRIME-3D2D to predict binding sites of protein–RNA interaction. PRIME-3D2D is almost as good as PRIME at modeling protein–RNA complexes. PRIME-3D2D can be used to predict binding sites on PDB data (MCC = 0.75/0.70 for binding sites in protein/RNA) and transcription-wide (MCC = 0.285 for binding sites in RNA). Testing on PDB and yeast transcription-wide data show that PRIME-3D2D performs better than other binding sites predictor. So, PRIME-3D2D can be used to predict the binding sites both on PDB and genome-wide, and it’s freely available.

scholarly journals High Throughput Sequencing For Plant Virus Detection and Discovery

2019 ◽  
Vol 109 (5) ◽  
pp. 716-725 ◽  
Author(s):  
D. E. V. Villamor ◽  
T. Ho ◽  
M. Al Rwahnih ◽  
R. R. Martin ◽  
I. E. Tzanetakis
Keyword(s):  
High Throughput ◽  
Plant Virus ◽  
High Throughput Sequencing ◽  
Virus Detection ◽  
Agricultural Crops ◽  
Virus Discovery ◽  
Plant Virus Detection ◽  
Virus Biology ◽  
Disease Causality

Over the last decade, virologists have discovered an unprecedented number of viruses using high throughput sequencing (HTS), which led to the advancement of our knowledge on the diversity of viruses in nature, particularly unraveling the virome of many agricultural crops. However, these new virus discoveries have often widened the gaps in our understanding of virus biology; the forefront of which is the actual role of a new virus in disease, if any. Yet, when used critically in etiological studies, HTS is a powerful tool to establish disease causality between the virus and its host. Conversely, with globalization, movement of plant material is increasingly more common and often a point of dispute between countries. HTS could potentially resolve these issues given its capacity to detect and discover. Although many pipelines are available for plant virus discovery, all share a common backbone. A description of the process of plant virus detection and discovery from HTS data are presented, providing a summary of the different pipelines available for scientists’ utility in their research.

scholarly journals High-throughput sequencing identifies distinct fecal and mucosal gut microbiota correlating with different mucosal proteins

2016 ◽  
Author(s):  
Li-na Dong ◽  
Jun-ping Wang ◽  
Ping Liu ◽  
Yun-feng Yang ◽  
Jing Feng ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
High Throughput ◽  
High Throughput Sequencing ◽  
Flexible Sigmoidoscopy ◽  
Local Effect ◽  
Chinese People ◽  
Rt Pcr ◽  
Clinical Indices ◽  
16Srrna Gene ◽  
Firmicutes Phylum

The intestinal microbiota is associated with human health. The luminal microbiota (LM) and mucosa-associated microbiota (MAM) are distinct ecosystems with different metabolic and immunological functions. Several studies have examined the correlations between the gut microbiota and clinical indices, but few have investigated the relationships between the microbiota and mucosal proteins. We characterized the intestinal LM and MAM in Chinese people and examined the association between these communities and the expression of mucosal proteins. Fresh fecal samples and distal colonic mucosal biopsies were collected from 32 subjects before (fecal) and during (mucosal) flexible sigmoidoscopy. We used high-throughput sequencing targeting the 16SrRNA gene V3–V4 region to analyze the samples and reverse transcription(RT)–PCR to detect the expression of colonic proteins BDNF, ZO1, TLR2, TLR4, AQP3, and AQP8. Differences in the stool and mucosal microbiota were identified and a correlation network analysis performed. The LM and MAM populations differed significantly. In LM, the microbiota composition correlated significantly positively with host age, and Firmicutes (phylum) correlated positively with body mass index (BMI), but inversely with ZO1.At the genus level, systemic indices, such as age, BMI, and BDNF, correlated predominantly with LM, whereas systemic and local indices, such as TLR2, correlated with both MAM and LM. ZO1 and TLR4 which usually exert a local effect, mainly correlated with MAM. Different bacteria were associated with the expression of different proteins. Our data suggest that The microbial compositions of LM and MAM differed. Different gut bacteria may play different roles by regulating the expression of different proteins.

Virus detection in high-throughput sequencing data without a reference genome of the host

2018 ◽  
Vol 66 ◽  
pp. 180-187 ◽  
Author(s):  
Jochen Kruppa ◽  
Wendy K. Jo ◽  
Erhard van der Vries ◽  
Martin Ludlow ◽  
Albert Osterhaus ◽  
...  
Keyword(s):  
High Throughput ◽  
High Throughput Sequencing ◽  
Reference Genome ◽  
Virus Detection ◽  
Sequencing Data ◽  
High Throughput Sequencing Data

scholarly journals DNA extraction and sequencing of the Mawangdui ancient cadaver protected by formalin

2020 ◽  
Author(s):  
Hua-Lin Huang ◽  
Shikui Yin ◽  
Huifang Zhao ◽  
Chao Tian ◽  
Jufang Huang ◽  
...  
Keyword(s):  
Dna Extraction ◽  
High Throughput ◽  
High Throughput Sequencing ◽  
Pcr Amplification ◽  
Magnetic Bead ◽  
Sequencing Data ◽  
Sequencing Library ◽  
Bead Method ◽  
Formalin Fixed ◽  
Better Than

AbstractMawangdui ancient Cadaver is the first wet corpse found in the world, which is famous for being immortal for over two thousands of years. After being unearthed, the female corpse was immersed in the formalin protective solution for more than 40 years. We used magnetic bead method and formalin fixed paraffing (FFPE) method to extract the DNA of the female corpse, respectively. PCR amplification, sanger sequencing, library building, high throughput sequencing (testing) and data processing were carried out on the DNA samples, and about 0.5% of the whole genome coverage sequencing data was obtained. Comparing the results of DNA trough two extraction and sequencing methods. We found that the FFPE and high throughput sequencing methods is better than others for DNA extraction of the ancient samples which were preserved in formalin, providing a guidance for dealing with formalin preserved ancient samples in the future.

scholarly journals Virus Detection by High-Throughput Sequencing of Small RNAs: Large-Scale Performance Testing of Sequence Analysis Strategies

2019 ◽  
Vol 109 (3) ◽  
pp. 488-497 ◽  
Author(s):  
Sebastien Massart ◽  
Michela Chiumenti ◽  
Kris De Jonghe ◽  
Rachel Glover ◽  
Annelies Haegeman ◽  
...  
Keyword(s):  
High Throughput ◽  
Large Scale ◽  
High Throughput Sequencing ◽  
Performance Test ◽  
Virus Detection ◽  
Performance Testing ◽  
Plant Viruses ◽  
Reference Sequence ◽  
Bioinformatics Pipeline ◽  
Double Blind

Recent developments in high-throughput sequencing (HTS), also called next-generation sequencing (NGS), technologies and bioinformatics have drastically changed research on viral pathogens and spurred growing interest in the field of virus diagnostics. However, the reliability of HTS-based virus detection protocols must be evaluated before adopting them for diagnostics. Many different bioinformatics algorithms aimed at detecting viruses in HTS data have been reported but little attention has been paid thus far to their sensitivity and reliability for diagnostic purposes. Therefore, we compared the ability of 21 plant virology laboratories, each employing a different bioinformatics pipeline, to detect 12 plant viruses through a double-blind large-scale performance test using 10 datasets of 21- to 24-nucleotide small RNA (sRNA) sequences from three different infected plants. The sensitivity of virus detection ranged between 35 and 100% among participants, with a marked negative effect when sequence depth decreased. The false-positive detection rate was very low and mainly related to the identification of host genome-integrated viral sequences or misinterpretation of the results. Reproducibility was high (91.6%). This work revealed the key influence of bioinformatics strategies for the sensitive detection of viruses in HTS sRNA datasets and, more specifically (i) the difficulty in detecting viral agents when they are novel or their sRNA abundance is low, (ii) the influence of key parameters at both assembly and annotation steps, (iii) the importance of completeness of reference sequence databases, and (iv) the significant level of scientific expertise needed when interpreting pipeline results. Overall, this work underlines key parameters and proposes recommendations for reliable sRNA-based detection of known and unknown viruses.

scholarly journals High-Throughput Sequencing Reveals Cyclamen persicum Mill. as a Natural Host for Fig Mosaic Virus

Viruses ◽  
2018 ◽  
Vol 10 (12) ◽  
pp. 684 ◽  
Author(s):  
Toufic Elbeaino ◽  
Armelle Marais ◽  
Chantal Faure ◽  
Elisa Trioano ◽  
Thierry Candresse ◽  
...  
Keyword(s):  
High Throughput ◽  
High Throughput Sequencing ◽  
Viral Infections ◽  
Small Scale ◽  
Rt Pcr ◽  
Cyclamen Persicum ◽  
Sequence Variations ◽  
Pcr Products ◽  
Complete Sequences ◽  
Fig Mosaic Virus

In a search for viral infections, double-stranded RNA (dsRNA) were recovered from a diseased cyclamen (Cyclamen persicum Mill.) accession (Cic) and analyzed by high-throughput sequencing (HTS) technology. Analysis of the HTS data showed the presence of Fig mosaic emaravirus (FMV) in this accession. The complete sequences of six FMV-Cic RNA genomic segments were determined from the HTS data and using Sanger sequencing. All FMV-Cic RNA segments are similar in size to those of FMV from fig (FMV-Gr10), with the exception of RNA-6 that is one nucleotide longer. The occurrence of FMV in cyclamen was investigated through a small-scale survey, from which four plants (out of 18 tested) were found RT-PCR positive. To study sequence variations of cyclamen isolates of FMV, RT-PCR products generated through the amplification of the partially RNA-dependent RNA polymerase (RdRp, RNA-1), glycoprotein (GP, RNA-2), and nucleocapsid (NCP, RNA-3) genes were explored. The nucleotide sequence identities for cyclamen isolates ranged between 86% and 99% in RNA-1, 93% and 99% in RNA-2, and 98% and 99% in RNA-3, while lower identity levels were observed with the sequences of fig isolates. Based on the phylogenetic tree obtained with a 304-nt fragment of RNA3, all FMV isolates from cyclamens were assigned to a single cluster close to fig isolates from the Mediterranean. FMV was graft-transmitted to healthy cyclamens eliciting symptoms similar to those observed in the Cic accession, thus suggesting a causal role of FMV in the symptoms that prompted the investigation. This is the first report of FMV in a non-fig host, Cyclamen persicum, a finding that may help in the control of the mosaic and mosaic-like diseases of fig and cyclamen, respectively.

scholarly journals Broad-Range Virus Detection and Discovery Using Microfluidic PCR Coupled with High-throughput Sequencing

2020 ◽  
Author(s):  
Ying Tao ◽  
Clinton R. Paden ◽  
Krista Queen ◽  
Jing Zhang ◽  
Eishita Tyagi ◽  
...  
Keyword(s):  
High Throughput ◽  
High Throughput Sequencing ◽  
Virus Detection ◽  
Viral Pathogens ◽  
Large Numbers ◽  
Straightforward Method ◽  
Sequence Identification ◽  
Pcr Assays ◽  
Taxonomic Groups ◽  
Next Generation Sequencing Ngs

AbstractThere is a need for a comprehensive and sensitive method to test for a broad range of viral pathogens in samples without any identifiable pathogen detected. Real-time PCR assays are sensitive and rapid, but their specificity limits their utility in detecting divergent agents. Shotgun high-throughput sequencing methods provide unbiased sequence identification, however, they have limited sensitivity and require complex analyses. In order to meet the need for a sensitive, high-throughput virus detection and discovery platform with good sensitivity, we combine two existing technologies, broadly-reactive consensus-degenerate pan-viral group PCR and the MiSeq sequencer (Illumina), using the Access Array (Fluidigm), a commercially-available microfluidic PCR system. Pan-viral group primers target conserved regions of virus taxonomic groups and can amplify known and potentially novel species. The Access Array employs dozens of these assays in parallel, which are then sequenced all at once on the MiSeq. In this study, we run a respiratory panel of pan-viral group PCR assays using AA-PCR-Seq. We validate the panel on a collection of representative human and animal samples, comparing it to qPCR and shotgun next-generation sequencing (NGS). AA-PCR-Seq provides a robust, straightforward method for screening large numbers of samples for virus detection and discovery.

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