bioRxivMicrobiologyPreprint
Ebola virus mRNAs contain RNA structures that are critical for viral infection and targetable by antisense oligonucleotides
M.‐Z. LUOiD, Judith OlejnikiD, Kristina MeieriD, Tanja HanniD, Elke MühlbergeriD, Anna Marie PyleiD
Abstract
Filoviruses, such as Ebola virus (EBOV), are highly pathogenic non-segmented negative-sense RNA viruses (nsNSVs) with limited therapeutic options. Filovirus RNA structures remain largely untapped due to the enhanced biosafety requirements for handling infectious virus. Here, we present the first in-cell secondary structure maps of four EBOV mRNAs (VP35, VP40, VP30, and VP24) using two orthogonal chemical probing approaches: SHAPE-MaP and fbDMS-MaP. We find that EBOV mRNA coding sequences (CDS) are highly structured, much like +ssRNA viruses, whereas untranslated regions (UTRs) are significantly less structured. This suggests that high CDS structure contents are general features of viral translation templates, and that nsNSVs have evolved separate regulatory function at the RNA structure level that extends beyond using distinct mRNAs and genomes. These structure maps are consistent with formation of mRNA 5' hairpin structures during infection and reveal numerous additional RNA structures within the CDS, 3' UTRs, and at CDS-UTR junctions. To assess functionality, we disrupted these structures with locked nucleic acid (LNA) antisense oligonucleotides. Disrupting the TSS hairpins in VP35, VP30, and VP24 decreased infection by >60%, indicating these mRNA structures are critical for infection. LNA targeting of the newly identified structures reduced EBOV infection by 31% to 88%, thereby linking RNA structural integrity to viral function. Synonymous mutation rates and covariation analysis provided evolutionary support across mammalian filoviruses for the functional RNA elements observed. Collectively, these results demonstrate EBOV mRNAs contain numerous conserved RNA motifs contributing to viral infection, and that these elements represent promising targets for development of pan-filoviral therapeutics.
- organism: virus
- assay: metagenomics
- research focus: host-pathogen & immune response
- approach: deep learning
- approach: statistical model
- Citations
- 0
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