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A novel iflavirus, tentatively named laodelphax striatellus iflavirus 1 (LsIV1), was identified in Laodelphax striatellus by total RNA-sequencing, and its genome sequence was confirmed by Sanger sequencing. The complete genome consisted of 10,831 nucleotides with a polyA tail and included one open reading frame, encoding a 361.7-kD polyprotein. Conserved motifs for structural proteins, helicase, protease, and RNA-dependent RNA polymerase were identified by aligning the deduced amino acid sequence of LsIV1 with several other iflaviruses. The genome has the highest identity with another planthopper iflavirus, nilaparvata lugens honeydew virus-3 (39.7%), under the species demarcation threshold (90%). Results of the identities and phylogenetic analysis based on the deduced amino acid sequences of the complete polyprotein and helicase of LsIV1 and other iflaviruses, indicated it is a new species belonging to the family Iflaviridae. Furthermore, we did not observe any differences of biological characterizations like development and reproduction between viruliferous and virus-free SBPH. Meanwhile, we found that female could transmit LsIV1 with higher transmission efficiency., (Copyright © 2019 Elsevier B.V. All rights reserved.)

The ability to provide a fast, inexpensive and reliable diagnostic for any given viral infection is a key parameter in efforts to fight and control these ubiquitous pathogens. The recent developments of high-throughput sequencing (also called Next Generation Sequencing - NGS) technologies and bioinformatics have drastically changed the research on viral pathogens. It is now raising a growing interest for virus diagnostics. This review provides a snapshot vision on the current use and impact of high throughput sequencing approaches in plant virus characterization. More specifically, this review highlights the potential of these new technologies and their interplay with current protocols in the future of molecular diagnostic of plant viruses. The current limitations that will need to be addressed for a wider adoption of high-throughput sequencing in plant virus diagnostics are thoroughly discussed., (Copyright © 2014 Elsevier B.V. All rights reserved.)