A Framework for the Evaluation of Biosecurity, Commercial, Regulatory, and Scientific Impacts of Plant Viruses and Viroids Identified by NGS Technologies

Recent advances in high-throughput sequencing technologies and bioinformatics have generated huge new opportunities for discovering and diagnosing plant viruses and viroids. Plant virology has undoubtedly benefited from these new methodologies, but at the same time, faces now substantial bottlenecks, namely the biological characterization of the newly discovered viruses and the analysis of their impact at the biosecurity, commercial, regulatory, and scientific levels. This paper proposes a scaled and progressive scientific framework for efficient biological characterization and risk assessment when a previously known or a new plant virus is detected by next generation sequencing (NGS) technologies. Four case studies are also presented to illustrate the need for such a framework, and to discuss the scenarios.Peer reviewe

Identification and Characterization of a Novel <i>Robigovirus</i> Species from Sweet Cherry in Turkey

High throughput sequencing of total RNA isolated from symptomatic leaves of a sweet cherry tree (Prunus avium cv. 0900 Ziraat) from Turkey identified a new member of the genus Robigovirus designated cherry virus Turkey (CVTR). The presence of the virus was confirmed by electron microscopy and overlapping RT-PCR for sequencing its whole-genome. The virus has a ssRNA genome of 8464 nucleotides which encodes five open reading frames (ORFs) and comprises two non-coding regions, 5&#8242; UTR and 3&#8242; UTR of 97 and 296 nt, respectively. Compared to the five most closely related robigoviruses, RdRp, TGB1, TGB2, TGB3 and CP share amino acid identities ranging from 43&#8722;53%, 44&#8722;60%, 39&#8722;43%, 38&#8722;44% and 45&#8722;50%, respectively. Unlike the four cherry robigoviruses, CVTR lacks ORFs 2a and 5a. Its genome organization is therefore more similar to African oil palm ringspot virus (AOPRV). Using specific primers, the presence of CVTR was confirmed in 15 sweet cherries and two sour cherries out of 156 tested samples collected from three regions in Turkey. Among them, five samples were showing slight chlorotic symptoms on the leaves. It seems that CVTR infects cherry trees with or without eliciting obvious symptoms, but these data should be confirmed by bioassays in woody and possible herbaceous hosts in future studies

Identification of Pomegranate as a New Host of Passiflora Edulis Symptomless Virus (PeSV) and Analysis of PeSV Diversity

Pomegranate is an important crop in the Mediterranean Basin that can be affected by a range of pathogens. With the aim to better understand the impact of viral diseases on pomegranate, two leaf samples from Turkey showing virus-like symptoms such as chlorotic spots and oak-leaf patterns were subjected to high throughput sequencing (HTS). Data analysis indicated the presence of passiflora edulis symptomless virus (PeSV: genus Roymovirus, Potyviridae family) in these two pomegranate samples, consistent with the observation by electron microscopy of flexuous filamentous viral particles 760 to 780 nm long. Further analysis of HTS reads revealed the presence of five PeSV variants in one of the samples and another single variant in the other. PeSV occurrence was also identified from publicly available SRA pomegranate RNA-Seq transcriptomic data from India and China. The genome of these PeSV-pomegranate variants share 78.0-86.8% nucleotide identity with that of the reference isolate from passionfruit (MH379332). The presence of PeSV in pomegranate was confirmed by specific RT-PCR assays targeting either the coat protein (CP) or Nla-Pro genes in 37 cultivated and one ornamental pomegranate out of 133 samples collected from the Eastern Mediterranean region of Turkey. To our knowledge, this is the first application of HTS to assess virus occurrence in pomegranate and the first recognition of pomegranate as a new host for PeSV

Identification of Pomegranate as a New Host of Passiflora Edulis Symptomless Virus (PeSV) and Analysis of PeSV Diversity

Pomegranate is an important crop in the Mediterranean Basin that can be affected by a range of pathogens. With the aim to better understand the impact of viral diseases on pomegranate, two leaf samples from Turkey showing virus-like symptoms such as chlorotic spots and oak-leaf patterns were subjected to high throughput sequencing (HTS). Data analysis indicated the presence of passiflora edulis symptomless virus (PeSV: genus Roymovirus, Potyviridae family) in these two pomegranate samples, consistent with the observation by electron microscopy of flexuous filamentous viral particles 760 to 780 nm long. Further analysis of HTS reads revealed the presence of five PeSV variants in one of the samples and another single variant in the other. PeSV occurrence was also identified from publicly available SRA pomegranate RNA-Seq transcriptomic data from India and China. The genome of these PeSV-pomegranate variants share 78.0-86.8% nucleotide identity with that of the reference isolate from passionfruit (MH379332). The presence of PeSV in pomegranate was confirmed by specific RT-PCR assays targeting either the coat protein (CP) or Nla-Pro genes in 37 cultivated and one ornamental pomegranate out of 133 samples collected from the Eastern Mediterranean region of Turkey. To our knowledge, this is the first application of HTS to assess virus occurrence in pomegranate and the first recognition of pomegranate as a new host for PeSV

After the data deluge: biological characterization of the new variants and viral species identified by HTS

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A Primer on the Analysis of High-Throughput Sequencing Data for Detection of Plant Viruses

High-throughput sequencing (HTS) technologies have become indispensable tools assisting plant virus diagnostics and research thanks to their ability to detect any plant virus in a sample without prior knowledge. As HTS technologies are heavily relying on bioinformatics analysis of the huge amount of generated sequences, it is of utmost importance that researchers can rely on efficient and reliable bioinformatic tools and can understand the principles, advantages, and disadvantages of the tools used. Here, we present a critical overview of the steps involved in HTS as employed for plant virus detection and virome characterization. We start from sample preparation and nucleic acid extraction as appropriate to the chosen HTS strategy, which is followed by basic data analysis requirements, an extensive overview of the in-depth data processing options, and taxonomic classification of viral sequences detected. By presenting the bioinformatic tools and a detailed overview of the consecutive steps that can be used to implement a well-structured HTS data analysis in an easy and accessible way, this paper is targeted at both beginners and expert scientists engaging in HTS plant virome project