The complete nucleotide sequences of 10 genomic segments (S1-S10) from an isolate of rice black-streaked dwarf virus causing rough dwarf disease on maize (RBSDV-Hbm) in China were determined, a total of 29,142 base pairs (bp). Each segment possessed the genus-specific termini with conserved nucleotide sequences of (+) 5'-AAGUUUUU......CAGCUNNNGUC-3' and a perfect or imperfect inverted repeat of seven to eleven nucleotides immediately adjacent to the terminal conserved sequence. While the coding strand of most RBSDV-Hbm segments contained one open reading frame (ORF), there were two non-overlapping ORFs in S7 and S9, and one small overlapping ORF downstream of the major ORF in S5. Homology comparisons suggest that S1 encodes a RNA-dependent RNA polymerase (RdRp), with 63.5% and 32.6% identity to the putative RdRp encoded by Fiji disease virus (FDV) and Nilaparvata lugens reovirus (NLRV), respectively. The proteins encoded by S2, S3, and S4 showed various degrees of similarity to those encoded by the corresponding segments of FDV or NLRV. In S5 and S6, low identities were found to those of FDV only, but not to NLRV. Sequence analyses showed that RBSDV-Hbm had the most similarities in the genome organizations and the coding assignments with a RBSDV isolated from rice in China, in which each pair of the corresponding segments shared sequence identities of 93.8-98.9% and 93.5-100% at nucleotide or amino acid levels, respectively. In addition, phylogenetic analyses suggested that RBSDV-Hbm had the closest evolutionary relationship to RBSDV in Fijivirus.
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http://dx.doi.org/10.1023/a:1025776527286 | DOI Listing |
Microbiome
October 2024
State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193, P. R. China.
Plant Biotechnol J
January 2025
State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Key Laboratory of Biotechnology in Plant Protection of MARA and Zhejiang Province, Institute of Plant Virology, Ningbo University, Ningbo, China.
Nat Commun
August 2024
State Key Laboratory of Plant Environmental Resilience/College of Agronomy and Biotechnology/National Maize Improvement Center/Center for Crop Functional Genomics and Molecular Breeding, China Agricultural University, Beijing, 100193, PR China.
Maize rough dwarf disease (MRDD) threatens maize production globally. The P7-1 effector of the rice black-streaked dwarf virus (RBSDV) targets maize Rab GDP dissociation inhibitor alpha (ZmGDIα) to cause MRDD. However, P7-1 has difficulty recruiting a ZmGDIα variant with an alternative helitron-derived exon 10 (ZmGDIα-hel), resulting in recessive resistance.
View Article and Find Full Text PDFPlant Pathol J
August 2024
Department of Applied Biology, Chonnam National University, Gwangju 61185, Korea.
The emergence of rice black-streaked dwarf virus (RBSDV) poses a significant threat to global cereal crop cultivation, necessitating the urgent development of reliable detection and quantification techniques. This study introduces a reliable approach for the precise and sensitive quantification of the RBSDV in cereal crop samples, employing a reverse transcription digital polymerase chain reaction (RT-dPCR) assay. We assessed the specificity and sensitivity of the RT-dPCR assay proposed for precise RBSDV detection and quantification.
View Article and Find Full Text PDFBMC Genomics
July 2024
Department of Plant Protection, Faculty of Agriculture, Vali-e-Asr University of Rafsanjan, Rafsanjan, Iran.
Rice black-streaked dwarf virus (RBSDV) is an etiological agent of a destructive disease infecting some economically important crops from the Gramineae family in Asia. While RBSDV causes high yield losses, genetic characteristics of replicative viral populations have not been investigated within different host plants and insect vectors. Herein, eleven publicly available RNA-Seq datasets from Chinese RBSDV-infected rice, maize, and viruliferous planthopper (Laodelphax striatellus) were obtained from the NCBI database.
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