A complex virome including two distinct emaraviruses associated with virus-like symptoms in Camellia japonica

International Trade and Local Effects of Viral and Bacterial Diseases in Ornamental Plants

Since the 1950s, there have been major changes in the scope, value, and organization of the ornamental plant industry. With fewer individual producers and a strong trend toward consolidation and globalization, increasing quantities of diverse plant genera and species are being shipped internationally. Many more ornamentals are propagated vegetatively instead of by seed, further contributing to disease spread. These factors have led to global movement of pathogens to countries where they were not formerly known. The emergence of some previously undescribed pathogens has been facilitated by high-throughput sequencing, but biological studies are often lacking, so their roles in economic diseases are not yet known. Case studies of diseases in selected ornamentals discuss the factors involved in their spread, control measures to reduce their economic impact, and some potential effects on agronomic crops. Advances in diagnostic techniques are discussed, and parallels are drawn to the international movement of human diseases.

In-silico prediction of RT-qPCR-high resolution melting for broad detection of emaraviruses

Twenty-four species of RNA viruses contain members infecting economically important crops that are classified within the genus Emaravirus, family Fimoviridae. There are at least two other non-classified species that may be added. Some of these viruses are spreading rapidly and cause economically important diseases on several crops, raising a need for a sensitive diagnostic technique for taxonomic and quarantine purposes. High-resolution melting (HRM) has shown to be reliable for the detection, discrimination, and diagnosis of several diseases of plants, animals, and humans. This research aimed to explore the ability to predict HRM outputs coupled to reverse transcription-quantitative polymerase chain reaction (RT-qPCR). To approach this goal a pair of degenerate genus-specific primers were designed for endpoint RT-PCR and RT-qPCR-HRM and the species in the genus Emaravirus were selected to framework the development of the assays. Both nucleic acid amplification methods were able to detect in-vitro several members of seven Emaravirus species with sensitivity up to one fg of cDNA. Specific parameters for in-silico prediction of the melting temperatures of each expected emaravirus amplicon are compared to the data obtained in-vitro. A very distinct isolate of the High Plains wheat mosaic virus was also detected. The high-resolution DNA melting curves of the RT-PCR products predicted in-silico using uMeltSM allowed saving time while designing and developing the RT-qPCR-HRM assay since the approach avoided extensive searching for optimal HRM assay regions and rounds of HRM tests in-vitro for optimization. The resultant assay provides sensitive detection and reliable diagnosis for potentially any emaravirus, including new species or strains.

Complete genome sequence of a new badnavirus infecting a tea plant in China

The complete genome of a novel virus, provisionally named "Camellia sinensis badnavirus 1" (CSBV1), was identified in tea plant (Camellia sinensis) leaves collected in Anhui Province, China. The genome of CSBV1 consists of 8,195 bp and possesses three open reading frames (ORFs), sharing 68.6 % nucleotide sequence identity with the genome of Camellia lemon glow virus (CLGV) from Camellia japonica. The genome organization of CSBV1 is highly similar to that of members of the genus Badnavirus (family Caulimoviridae). Phylogenetic analysis revealed that CSBV1, CLGV, and cacao swollen shoot virus form a separate clade within the genus Badnavirus, suggesting that CSBV1 is the first badnavirus infecting C. sinensis.

Virus classification based on in-depth sequence analyses and development of demarcation criteria using the Betaflexiviridae as a case study

Currently, many viruses are classified based on their genome organization and nucleotide/amino acid sequence identities of their capsid and replication-associated proteins. Although biological traits such as vector specificities and host range are also considered, this later information is scarce for the majority of recently identified viruses, characterized only from genomic sequences. Accordingly, genomic sequences and derived information are being frequently used as the major, if not only, criteria for virus classification and this calls for a full review of the process. Herein, we critically addressed current issues concerning classification of viruses in the family Betaflexiviridae in the era of high-throughput sequencing and propose an updated set of demarcation criteria based on a process involving pairwise identity analyses and phylogenetics. The proposed framework has been designed to solve the majority of current conundrums in taxonomy and to facilitate future virus classification. Finally, the analyses performed herein, alongside the proposed approaches, could be used as a blueprint for virus classification at-large.

Bacteriophages Roam the Wheat Phyllosphere

The phyllosphere microbiome plays an important role in plant fitness. Recently, bacteriophages have been shown to play a role in shaping the bacterial community composition of the phyllosphere. However, no studies on the diversity and abundance of phyllosphere bacteriophage communities have been carried out until now. In this study, we extracted, sequenced, and characterized the dsDNA and ssDNA viral community from a phyllosphere for the first time. We sampled leaves from winter wheat (Triticum aestivum), where we identified a total of 876 virus operational taxonomic units (vOTUs), mostly predicted to be bacteriophages with a lytic lifestyle. Remarkably, 848 of these vOTUs corresponded to new viral species, and we estimated a minimum of 2.0 × 10⁶ viral particles per leaf. These results suggest that the wheat phyllosphere harbors a large and active community of novel bacterial viruses. Phylloviruses have potential applications as biocontrol agents against phytopathogenic bacteria or as microbiome modulators to increase plant growth-promoting bacteria.

Exploring in-silico prediction for the development of a RT-qPCR-high resolution melting assay for the broad detection of emaraviruses

High-resolution melting (HRM) has shown to be reliable for the detection, discrimination, and diagnosis of several diseases of plants, animals, and humans. The aim of this research was to explore the ability to predict HRM outputs when coupled to reverse transcription quantitative polymerase chain reaction (RT-qPCR). This research used the species in the Emaravirus genus as model to framework the development of genus-specific RT-qPCR-HRM assays. A pair of degenerate genus-specific primers were designed for use in endpoint RT-PCR and RT-qPCR-HRM detection of emaraviruses. Eleven species of RNA viruses infecting economically important crops are classified within the genus Emaravirus, family Fimoviridae. There are at least fifteen other non-classified species that may be added. Some of these viruses are spreading rapidly and cause economically important diseases on several crops, raising a need for a sensitive diagnostic technique for taxonomic and quarantine purposes. RT-PCR and RT-qPCR-HRM were able to detect seven emaravirus species in-vitro with sensitivity up to one fg of cDNA. Specific parameters for prediction in-silico of the melting temperatures of each expected emaravirus amplicon are provided and compared to the data obtained in-vitro. A very distinct isolate of the High Plains wheat mosaic virus was also detected. The prediction in-silico of fluorescence of high-resolution DNA melting curves of predicted RT-PCR products using uMeltSM speeded the design and development of RT-qPCR-HRM assay. This approach avoided rounds of HRM tests in-vitro when searching for the optimal regions that provides accurate diagnosis. The resultant assay provided sensitive detection and reliable diagnosis for potentially any emaravirus, including new species or strains.

2021 Taxonomic update of phylum Negarnaviricota (Riboviria: Orthornavirae), including the large orders Bunyavirales and Mononegavirales

In March 2021, following the annual International Committee on Taxonomy of Viruses (ICTV) ratification vote on newly proposed taxa, the phylum Negarnaviricota was amended and emended. The phylum was expanded by four families (Aliusviridae, Crepuscuviridae, Myriaviridae, and Natareviridae), three subfamilies (Alpharhabdovirinae, Betarhabdovirinae, and Gammarhabdovirinae), 42 genera, and 200 species. Thirty-nine species were renamed and/or moved and seven species were abolished. This article presents the updated taxonomy of Negarnaviricota as now accepted by the ICTV.

Complete genome sequence of camellia virus A, a tentative new member of the genus Waikavirus

A new positive-strand RNA virus genome was discovered in Camellia japonica plants. The complete genome of the virus is 12,570 nt in size, excluding the poly(A) tail, and contains one large open reading frame (ORF1) and two small open reading frames (ORF2, ORF3). ORF1 and ORF2 are homologous to sequences of waikaviruses, while ORF3 has no relatives in the databases. ORF1 encodes a putative polyprotein precursor that is putatively processed into eight smaller proteins, as in typical waikaviruses. Comprehensive analysis, including BLAST searches, genome organization and pairwise sequence comparisons, and phylogeny reconstructions, invariably placed the virus with the waikaviruses. Furthermore, due to lower amino acid sequence identity to known waikaviruses than the threshold species demarcation cutoff, this virus may represent a new species in the genus Waikavirus, family Secoviridae, and we have tentatively named it "camellia virus A" (CamVA). Finally, a field survey was conducted to assess the occurrence of CamVA in camellias and its associated symptoms.

Characterisation and Distribution of Karaka Ōkahu Purepure Virus-A Novel Emaravirus Likely to Be Endemic to New Zealand

We report the first emaravirus on an endemic plant of Aotearoa New Zealand that is, to the best of our knowledge, the country’s first endemic virus characterised associated with an indigenous plant. The new-to-science virus was identified in the endemic karaka tree (Corynocarpus laevigatus), and is associated with chlorotic leaf spots, and possible feeding sites of the monophagous endemic karaka gall mite. Of the five negative-sense RNA genomic segments that were fully sequenced, four (RNA 1–4) had similarity to other emaraviruses while RNA 5 had no similarity with other viral proteins. A detection assay developed to amplify any of the five RNAs in a single assay was used to determine the distribution of the virus. The virus is widespread in the Auckland area, particularly in mature trees at Ōkahu Bay, with only occasional reports elsewhere in the North Island. Phylogenetic analysis revealed that its closest relatives are pear chlorotic leaf spot-associated virus and chrysanthemum mosaic-associated virus, which form a unique clade within the genus Emaravirus. Based on the genome structure, we propose this virus to be part of the family Emaravirus, but with less than 50% amino acid similarity to the closest relatives in the most conserved RNA 1, it clearly is a novel species. In consultation with mana whenua (indigenous Māori authority over a territory and its associated treasures), we propose the name Karaka Ōkahu purepure virus in te reo Māori (the Māori language) to reflect the tree from which it was isolated (karaka), a place where the virus is prevalent (Ōkahu), and the spotted symptom (purepure, pronounced pooray pooray) that this endemic virus appears to cause.

Identification and Characterization of a Novel Emaravirus From Grapevine Showing Chlorotic Mottling Symptoms

A novel negative-sense, single-stranded (ss) RNA virus was identified in a “Shennong Jinhuanghou” (SJ) grapevine showing severe chlorotic mottling symptoms by integrating high-throughput sequencing (HTS) and conventional Sanger sequencing of reverse transcription polymerase chain reaction (RT-PCR) products. The virus was provisionally named as “grapevine emaravirus A” (GEVA). GEVA had a genome comprising five genomic RNA segments, each containing a single open reading frame on the viral complementary strand and two untranslated regions with complementary 13- nt stretches at the 5′ and 3′ terminal ends. RNA1 (7,090 nt), RNA2 (2,097 nt), RNA3 (1,615 nt), and RNA4 (1,640 nt) encoded putative proteins P1–P4 that, based on their conserved motifs, were identified as the RNA-dependent RNA polymerase, glycoprotein, nucleocapsid protein, and movement protein, respectively. However, the functional role of protein P5 encoded by RNA5 (1,308 nt) could not be determined. Phylogenetic trees constructed based on amino acids of P1 to P4, allocated GEVA in clade I, together with other species-related emaraviruses. These data support the proposal that GEVA is a representative member of a novel species in the genus Emaravirus of the family Fimoviridae. Moreover, when GEVA was graft-transmitted to SJ and “Beta” grapevines, all grafted plants showed the same symptoms, similar to those observed in the source of the inoculum. This is the first report to our knowledge of an emaravirus infecting grapevine and its possible association with chlorotic mottling symptoms.

Complete nucleotide sequence of chrysanthemum mosaic-associated virus, a novel emaravirus infecting chrysanthemum

Here, we report the complete genome sequence of chrysanthemum mosaic-associated virus (ChMaV), a putative new member of the genus Emaravirus. The ChMaV genome comprises seven negative-sense RNA segments (RNAs 1, 2, 3a, 3b, 4, 5, and 6), and the amino acid sequences of its RNA-dependent RNA polymerase (RNA1), glycoprotein precursor (RNA2), nucleocapsid protein (RNA3), and movement protein (RNA4) showed the closest relationship to pear chlorotic leaf spot-associated virus. Phylogenetic analysis showed that it clusters with emaraviruses whose host plants originate from East Asia.

The Plant Negative-Sense RNA Virosphere: Virus Discovery Through New Eyes

The use of high-throughput sequencing (HTS) for virus diagnostics, as well as the importance of this technology as a valuable tool for discovery of novel viruses has been extensively investigated. In this review, we consider the application of HTS approaches to uncover novel plant viruses with a focus on the negative-sense, single-stranded RNA virosphere. Plant viruses with negative-sense and ambisense RNA (NSR) genomes belong to several taxonomic families, including Rhabdoviridae, Aspiviridae, Fimoviridae, Tospoviridae, and Phenuiviridae. They include both emergent pathogens that infect a wide range of plant species, and potential endophytes which appear not to induce any visible symptoms. As a consequence of biased sampling based on a narrow focus on crops with disease symptoms, the number of NSR plant viruses identified so far represents only a fraction of this type of viruses present in the virosphere. Detection and molecular characterization of NSR viruses has often been challenging, but the widespread implementation of HTS has facilitated not only the identification but also the characterization of the genomic sequences of at least 70 NSR plant viruses in the last 7 years. Moreover, continuing advances in HTS technologies and bioinformatic pipelines, concomitant with a significant cost reduction has led to its use as a routine method of choice, supporting the foundations of a diverse array of novel applications such as quarantine analysis of traded plant materials and genetic resources, virus detection in insect vectors, analysis of virus communities in individual plants, and assessment of virus evolution through ecogenomics, among others. The insights from these advancements are shedding new light on the extensive diversity of NSR plant viruses and their complex evolution, and provide an essential framework for improved taxonomic classification of plant NSR viruses as part of the realm Riboviria. Thus, HTS-based methods for virus discovery, our ‘new eyes,’ are unraveling in real time the richness and magnitude of the plant RNA virosphere.