scholarly journals Use of High-Throughput Sequencing and Two RNA Input Methods to Identify Viruses Infecting Tomato Crops

2021 ◽  
Vol 9 (5) ◽  
pp. 1043
Author(s):  
Ayoub Maachi ◽  
Covadonga Torre ◽  
Raquel N. Sempere ◽  
Yolanda Hernando ◽  
Miguel A. Aranda ◽  
...  
Keyword(s):  
High Throughput ◽  
High Throughput Sequencing ◽  
Tomato Fruit ◽  
Virus Detection ◽  
Read Depth ◽  
Cdna Libraries ◽  
Virus Species ◽  
Total Rna ◽  
Viral Genomes ◽  
First Time

We used high-throughput sequencing to identify viruses on tomato samples showing virus-like symptoms. Samples were collected from crops in the Iberian Peninsula. Either total RNA or double-stranded RNA (dsRNA) were used as starting material to build the cDNA libraries. In total, seven virus species were identified, with pepino mosaic virus being the most abundant one. The dsRNA input provided better coverage and read depth but missed one virus species compared with the total RNA input. By performing in silico analyses, we determined a minimum sequencing depth per sample of 0.2 and 1.5 million reads for dsRNA and rRNA-depleted total RNA inputs, respectively, to detect even the less abundant viruses. Primers and TaqMan probes targeting conserved regions in the viral genomes were designed and/or used for virus detection; all viruses were detected by qRT-PCR/RT-PCR in individual samples, with all except one sample showing mixed infections. Three virus species (Olive latent virus 1, Lettuce ring necrosis virus and Tomato fruit blotch virus) are herein reported for the first time in tomato crops in Spain.

scholarly journals High-Throughput Sequencing Reveals Further Diversity of Little Cherry Virus 1 with Implications for Diagnostics

Viruses ◽  
2018 ◽  
Vol 10 (7) ◽  
pp. 385 ◽  
Author(s):  
Asimina Katsiani ◽  
Varvara Maliogka ◽  
Nikolaos Katis ◽  
Laurence Svanella-Dumas ◽  
Antonio Olmos ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
High Throughput ◽  
High Throughput Sequencing ◽  
Sour Cherry ◽  
Prunus Species ◽  
Cherry Tree ◽  
High Genetic Diversity ◽  
Viral Genomes ◽  
Virus Diversity ◽  
First Time

Little cherry virus 1 (LChV1, Velarivirus, Closteroviridae) is a widespread pathogen of sweet or sour cherry and other Prunus species, which exhibits high genetic diversity and lacks a putative efficient transmission vector. Thus far, four distinct phylogenetic clusters of LChV1 have been described, including isolates from different Prunus species. The recent application of high throughput sequencing (HTS) technologies in fruit tree virology has facilitated the acquisition of new viral genomes and the study of virus diversity. In the present work, several new LChV1 isolates from different countries were fully sequenced using different HTS approaches. Our results reveal the presence of further genetic diversity within the LChV1 species. Interestingly, mixed infections of the same sweet cherry tree with different LChV1 variants were identified for the first time. Taken together, the high intra-host and intra-species diversities of LChV1 might affect its pathogenicity and have clear implications for its accurate diagnostics.

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.

Combinatorial Detection Algorithm for Copy Number Variations Using High-throughput Sequencing Reads

2019 ◽  
Vol 33 (14) ◽  
pp. 1950022
Author(s):  
Hai Yang ◽  
Daming Zhu
Keyword(s):  
Markov Model ◽  
Hidden Markov Model ◽  
High Throughput ◽  
Copy Number ◽  
High Throughput Sequencing ◽  
Hidden Markov ◽  
Read Depth ◽  
Detection Algorithm ◽  
Gc Bias ◽  
Unmapped Reads

Copy number variation (CNV) is a prevalent kind of genetic structural variation which leads to an abnormal number of copies of large genomic regions, such as gain or loss of DNA segments larger than 1[Formula: see text]kb. CNV exists not only in human genome but also in plant genome. Current researches have testified that CNV is associated with many complex diseases. In this paper, guanine-cytosine (GC) bias, mappability and their effect on read depth signals in sequencing data are discussed first. Subsequently, a new correction method for GC bias and an improved combinatorial detection algorithm for CNV using high-throughput sequencing reads based on hidden Markov model (CNV-HMM) are proposed. The corrected read depth signals have lower correlation with GC content, mappability of reads and the width of analysis window. Then we create a hidden Markov model which maps the reads onto the reference genome and records the unmapped reads. The unmapped reads are counted and normalized. The CNV-HMM detects the abnormal signal of read count and gains the candidate CNVs using the expectation maximization (EM) algorithm. Finally, we filter the candidate CNVs using split reads to promote the performance of our algorithm. The experiment result indicates that the CNV-HMM algorithm has higher accuracy and sensitivity for CNVs detection than most current detection algorithms.

scholarly journals High-Throughput Sequencing Facilitates Discovery of New Plant Viruses in Poland

Plants ◽  
2020 ◽  
Vol 9 (7) ◽  
pp. 820
Author(s):  
Julia Minicka ◽  
Aleksandra Zarzyńska-Nowak ◽  
Daria Budzyńska ◽  
Natasza Borodynko-Filas ◽  
Beata Hasiów-Jaroszewska
Keyword(s):  
High Throughput ◽  
High Throughput Sequencing ◽  
Plant Viruses ◽  
Yellow Mosaic Virus ◽  
Virus Species ◽  
Phylogenetic Groups ◽  
Accurate Identification ◽  
Detection And Identification ◽  
New Finding ◽  
Recent Occurrence

Viruses cause epidemics on all major crops of agronomic importance, and a timely and accurate identification is essential for control. High throughput sequencing (HTS) is a technology that allows the identification of all viruses without prior knowledge on the targeted pathogens. In this paper, we used HTS technique for the detection and identification of different viral species occurring in single and mixed infections in plants in Poland. We analysed various host plants representing different families. Within the 20 tested samples, we identified a total of 13 different virus species, including those whose presence has not been reported in Poland before: clover yellow mosaic virus (ClYMV) and melandrium yellow fleck virus (MYFV). Due to this new finding, the obtained sequences were compared with others retrieved from GenBank. In addition, cucurbit aphid-borne yellows virus (CABYV) was also detected, and due to the recent occurrence of this virus in Poland, a phylogenetic analysis of these new isolates was performed. The analysis revealed that CABYV population is highly diverse and the Polish isolates of CABYV belong to two different phylogenetic groups. Our results showed that HTS-based technology is a valuable diagnostic tool for the identification of different virus species originating from variable hosts, and can provide rapid information about the spectrum of plant viruses previously not detected in a region.

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 Rice Stripe Tenuivirus Has a Greater Tendency To Use the Prime-and-Realign Mechanism in Transcription of Genomic than in Transcription of Antigenomic Template RNAs

2017 ◽  
Vol 92 (1) ◽  
Author(s):  
Xiaojuan Liu ◽  
Jing Jin ◽  
Ping Qiu ◽  
Fangluan Gao ◽  
Wenzhong Lin ◽  
...  
Keyword(s):  
High Throughput ◽  
High Throughput Sequencing ◽  
Rna Viruses ◽  
Viral Mrnas ◽  
Viral Pathogens ◽  
Promising Target ◽  
Cellular Mrnas ◽  
Sequencing Strategy ◽  
First Time ◽  
Negative Sense

ABSTRACTMost segmented negative-sense RNA viruses employ a process termed cap snatching, during which they snatch capped RNA leaders from host cellular mRNAs and use the snatched leaders as primers for transcription, leading to the synthesis of viral mRNAs with 5′ heterogeneous sequences (HSs). With traditional methods, only a few HSs can be determined, and identification of their donors is difficult. Here, the mRNA 5′ ends ofRice stripe tenuivirus(RSV) andRice grassy stunt tenuivirus(RGSV) and those of their host rice were determined by high-throughput sequencing. Millions of tenuiviral HSs were obtained, and a large number of them mapped to the 5′ ends of corresponding host cellular mRNAs. Repeats of the dinucleotide AC, which are complementary to the U1G2of the tenuiviral template 3′-U1G2U3G4UUUCG, were found to be prevalent at the 3′ termini of tenuiviral HSs. Most of these ACs did not match host cellular mRNAs, supporting the idea that tenuiviruses use the prime-and-realign mechanism during cap snatching. We previously reported a greater tendency of RSV than RGSV to use the prime-and-realign mechanism in transcription with leaders cap snatched from a coinfecting reovirus. Besides confirming this observation in natural tenuiviral infections, the data here additionally reveal that RSV has a greater tendency to use this mechanism in transcribing genomic than in transcribing antigenomic templates. The data also suggest that tenuiviruses cap snatch host cellular mRNAs from translation- and photosynthesis-related genes, and capped RNA leaders snatched by tenuiviruses base pair with U1/U3or G2/G4of viral templates. These results provide unprecedented insights into the cap-snatching process of tenuiviruses.IMPORTANCEMany segmented negative-sense RNA viruses (segmented NSVs) are medically or agriculturally important pathogens. The cap-snatching process is a promising target for the development of antiviral strategies against this group of viruses. However, many details of this process remain poorly characterized. Tenuiviruses constitute a genus of agriculturally important segmented NSVs, several members of which are major viral pathogens of rice. Here, we for the first time adopted a high-throughput sequencing strategy to determine the 5′ heterogeneous sequences (HSs) of tenuiviruses and mapped them to host cellular mRNAs. Besides providing deep insights into the cap snatching of tenuiviruses, the data obtained provide clear evidence to support several previously proposed models regarding cap snatching. Curiously and importantly, the data here reveal that not only different tenuiviruses but also the same tenuivirus synthesizing different mRNAs use the prime-and-realign mechanism with different tendencies during their cap snatching.

scholarly journals Detection Of Genomic Variants Of SARS-CoV-2 Circulating In Wastewater By High-Throughput Sequencing

2021 ◽  
Author(s):  
Alba Pérez-Cataluña ◽  
Álvaro Chiner-Oms ◽  
Enric Cuevas-Ferrando ◽  
Azahara Díaz-Reolid ◽  
Irene Falcó ◽  
...  
Keyword(s):  
High Throughput ◽  
High Throughput Sequencing ◽  
Community Level ◽  
Low Frequencies ◽  
Spike Gene ◽  
Genomic Variants ◽  
Clinical Databases ◽  
Novel Variants ◽  
First Time

The use of SARS-CoV-2 metagenomics in wastewater can allow the detection of variants circulating at community level. After comparing with clinical databases, we identified three novel variants in the spike gene, and six new variants in the spike detected for the first time in Spain. We finally support the hypothesis that this approach allows the identification of unknown SARS-CoV-2 variants or detected at only low frequencies in clinical genomes.Abstract Figure

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