Computational Biology and Machine Learning Approaches Identify Rubber Tree (Hevea brasiliensis Muell. Arg.) Genome Encoded MicroRNAs Targeting Rubber Tree Virus 1

نویسندگان

چکیده

Tapping panel dryness (TPD), a complex physiological syndrome associated with the rubber tree (Hevea brasiliensis Muell. Arg.), causes cessation of latex drainage upon tapping and thus threatens production. Rubber virus 1 (RTV1) is novel positive-sense single-stranded RNA from Betaflexiviridae (genus Capillovirus), which has been established to cause TPD. MicroRNAs (miRNAs) play an important role in interplay between viruses host cells. In this study, we identified genome-encoded miRNAs their therapeutic targets against RTV1. We applied computational algorithms predict target binding sites potentially targeting RTV1 genome. Mature rubber-tree are retrieved miRBase database used for hybridization A total eleven common were based on consensus genomic positions. The four predicted hbr-miR396a hbr-miR398 at loci (6676 1840), respectively. miRNA-regulatory network was constructed RTV1— ORFs using Circos, illustrated analyze targets. Overall, study provides first evidence reliable miRNA–mRNA interaction specific transcript. Therefore, data offer valuable development RTV1-resistant future. Our work suggests that similar miRNA prediction strategies warranted identification other viral genomes.

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ژورنال

عنوان ژورنال: Applied sciences

سال: 2022

ISSN: ['2076-3417']

DOI: https://doi.org/10.3390/app122412908