Distribution and genetic variability of alfalfa dwarf virus, a cytorhabdovirus associated with alfalfa dwarf disease in Argentina

Biological and Genetic Characterization of Physostegia Chlorotic Mottle Virus in Europe Based on Host Range, Location, and Time

Application of high throughput sequencing (HTS) technologies enabled the first identification of Physostegia chlorotic mottle virus (PhCMoV) in 2018 in Austria. Subsequently, PhCMoV was detected in Germany and Serbia on tomatoes showing severe fruit mottling and ripening anomalies. We report here how prepublication data-sharing resulted in an international collaboration across eight laboratories in five countries, enabling an in-depth characterization of PhCMoV. The independent studies converged toward its recent identification in eight additional European countries and confirmed its presence in samples collected 20 years ago (2002). The natural plant host range was expanded from two to nine species across seven families, and we confirmed the association of PhCMoV presence with severe fruit symptoms on economically important crops such as tomato, eggplant, and cucumber. Mechanical inoculations of selected isolates in the greenhouse established the causality of the symptoms on a new indexing host range. In addition, phylogenetic analysis showed a low genomic variation across the 29 near-complete genome sequences available. Furthermore, a strong selection pressure within a specific ecosystem was suggested by nearly identical sequences recovered from different host plants through time. Overall, this study describes the European distribution of PhCMoV on multiple plant hosts, including economically important crops on which the virus can cause severe fruit symptoms. This work demonstrates how to efficiently improve knowledge on an emergent pathogen by sharing HTS data and provides a solid knowledge foundation for further studies on plant rhabdoviruses.[Formula: see text] Copyright © 2022 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license.

Iranian Strawberry crinkle cytorhabdovirus variation assessed using its movement protein (P3) gene

BACKGROUND

Strawberry crinkle virus (SCV) is a member of the genus Cytorhabdovirus, family Rhabdovirida, and order Mononegavirales. SCV affects the production of various strawberry cultivars. In this study we investigated the genetic diversity of SCV in strawberry fields based on P3 (movement protein) gene.

METHODS AND RESULTS

The samples were collected from strawberry fields in the Kurdistan Province, Iran. P3 gene from 20 SCV isolates, representing 18 nucleic acid haplotypes, is composed of 729 nucleotides, encoding a protein with 243 amino acids. SCV-P3 sequences shared 98.77%-99.86% nucleotide and 97.5%-100% amino acid sequence identity. Phylogenetic analyses of the new P3 sequences with two previously published SCV-P3 sequences from the Czech Republic showed that there are two major phylogroups (I and II) and three minor phylogroups in the body of the phylogeny, I-1, I-2, II-1. Comparisons of P3 gene sequences revealed a mutational bias, with more differences being transitions than transversions. The ratio of non-synonymous/synonymous nucleotide changes was < 1, indicating that SCV-P3 gene is under predominantly negative selection.

CONCLUSIONS

Phylogenetic and sequence identity analyses showed that SCV isolates from Iran are closely related and have not diverged more than 2% based on P3 gene despite geographical separation and strawberry cultivar. This is the first report of the genetic diversity of SCV worldwide.

RNA-seq reveals plant virus composition and diversity in alfalfa, thrips, and aphids in Beijing, China

Viruses are widespread in alfalfa (Medicago sativa L.), representing a key limitation to the production of this important forage plant. Understanding the diversity of plant viruses in alfalfa and their potential vectors will play an important role in management to minimize the emergence, transmission, and impact of viruses. Next-generation sequencing (NGS) targeting the transcriptome was applied to monitor the virus communities in alfalfa and its two main pests, thrips (Odontothrips loti Haliday and Frankliniella intonsa Trybom) and aphids (Acyrthosiphon pisum Mordvilko and Therioaphis trifolii Monell). A comparison of transcriptome datasets with reference databases revealed the presence of eight candidate viruses. Five out of the eight viruses, alfalfa mosaic virus (AMV), Medicago sativa alphapartitivirus 1 (MsAPV1), Medicago sativa deltapartitivirus 1 (MsDPV1), Medicago sativa amalgavirus 1 (MsAV1), and bean yellow mosaic virus (BYMV), were confirmed by RT-PCR. We identified and determined the presence of four RNA viruses from alfalfa samples, two viruses (AMV and MsAPV1) from thrips samples, and one virus (BYMV) from T. trifolii. All sequences isolated from the insect samples were more than 95% identical to the sequences from the alfalfa samples or to sequences from the National Center for Biotechnology Information (NCBI) reference database. The RNA-seq results of this study suggest that AMV and MsAPV1 are the predominant RNA plant viruses infecting alfalfa and that they are carried by the major pests. This lays the foundation for future research on the vectors and transmission of these viruses. In addition, the sequence data have enabled the assembly of the first complete genome sequence of MsDPV1 from alfalfa.

Diversity and epidemiology of plant rhabdoviruses

Plant rhabdoviruses are recognized by their large bacilliform particles and for being able to replicate in both their plant hosts and arthropod vectors. This review highlights selected, better studied examples of plant rhabdoviruses, their genetic diversity, epidemiology and interactions with plant hosts and arthropod vectors: Alfalfa dwarf virus is classified as a cytorhabdovirus, but its multifunctional phosphoprotein is localized to the plant cell nucleus. Lettuce necrotic yellows virus subtypes may differentially interact with their aphid vectors leading to changes in virus population diversity. Interactions of rhabdoviruses that infect rice, maize and other grains are tightly associated with their specific leafhopper and planthopper vectors. Future outbreaks of vector-borne nucleorhabdoviruses may be predicted based on a world distribution map of the insect vectors. The epidemiology of coffee ringspot virus and its Brevipalpus mite vector is illustrated highlighting the symptomatology and biology of a dichorhavirus and potential impacts of climate change on its epidemiology.

Geographic Distribution and Genetic Diversity of Rice Stripe Mosaic Virus in Southern China

Rice stripe mosaic virus (RSMV) transmitted by the leafhopper Recilia dorsalis is a tentative new species in the genus Cytorhabdovirus identified recently in South China. To explore its geographic distribution and genetic diversity, field investigation and viral whole-genome sequencing were conducted in this study. The results indicated that RSMV was present in the rice samples collected across southern China. Twelve representative samples from different geographical regions were selected for viral whole-genome sequencing and the viral genome variation was analyzed in combination with a previously reported RSMV isolate. Identity analysis showed that the genome sequences of 13 RSMV isolates were highly conserved with nucleotide identities over 99.4%. There was a strong negative selection pressure during the evolution of RSMV with more transitions (72.08%) than transversions (27.92%) found between the RSMV isolates. Among the seven genes encoded by RSMV, the P gene was the most variable, followed by N, M, L, and G; the P3 and P6 amino acid sequences were not found to be mutated and no mutations were found in the non-coding region. A phylogenetic tree based on the RSMV whole-genome nucleotide sequences revealed that all RSMV isolates clustered in two groups based on geographical origin. Notably, the L proteins of the Guangxi and Hainan isolates had five and one specific amino acid sites, respectively, suggesting that the L gene has undergone environmental adaptive variation during the dispersal of RSMV.