Complete genome sequence of maize sterile stunt virus

Genomic characterization of soybean blotchy mosaic virus, a cytorhabdovirus from South Africa

Samples showing blotchy mottle symptoms were collected from soybeans in North-West province, South Africa. The assembly of high-throughput sequencing data from three samples yielded contigs of 13,426 to 13,435nt, which represent the first complete genome sequences of soybean blotchy mosaic virus (SbBMV). SbBMV shows a typical cytorhabdovirus gene organization (3'-N-P-P3-M-G-L-5'), with each putative gene product being most similar, but with only 49.1-71.1% sequence identity, to those of cucurbit cytorhabdovirus 1. Given the species demarcation thresholds for rhabdoviruses, SbBMV is thus a distinct member of the genus Cytorhabdovirus.

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.

Identification, molecular characterization and prevalence of a novel cytorhabdovirus infecting zucchini crops in Greece

A new cytorhabdovirus was identified in zucchini (Cucurbita pepo) in Greece with the aid of high-throughput sequencing technology. The negative-sense, single-stranded genomic RNA of the new virus was determined and includes seven open reading frames in the order 3'-N-P-P3-P4-M-G-L-5' in the antigenomic orientation. Typical rhabdovirus-like particles were observed in infected leaf material. Comparative sequence analysis and phylogenetic reconstructions suggested that the described virus is a new member of the genus Cytorhabdovirus, and it was tentatively named cucurbit cytorhabdovirus 1 (CuCV1). To our knowledge CuCV1 is the first cytorhabdovirus infecting cucurbits in nature. Our surveys indicated that it occurs in a percentage of 36.7 % in zucchini crops in Greece.

Millet Could Be both a Weed and Serve as a Virus Reservoir in Crop Fields

Millet is a dangerous weed in crop fields. A lack of seed dormancy helps it to spread easily and be present in maize, wheat, and other crop fields. Our previous report revealed the possibility that millet can also play a role as a virus reservoir. In that study, we focused on visual symptoms and detected the presence of several viruses in millet using serological methods, which can only detect the presence of the investigated pathogen. In this current work, we used small RNA high-throughput sequencing as an unbiased virus diagnostic method to uncover presenting viruses in randomly sampled millet grown as a volunteer weed in two maize fields, showing stunting, chlorosis, and striped leaves. Our results confirmed the widespread presence of wheat streak mosaic virus at both locations. Moreover, barley yellow striate mosaic virus and barley virus G, neither of which had been previously described in Hungary, were also identified. As these viruses can cause severe diseases in wheat and other cereals, their presence in a weed implies a potential infection risk. Our study indicates that the presence of millet in fields requires special control to prevent the emergence of new viral diseases in crop fields.