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Keywords = Orthoavulavirus javaense

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16 pages, 1907 KiB  
Article
Characterizing Host microRNA: Virus Interactions of Orthoavulavirus javaense
by Megan C. Mears and Abhijeet Bakre
Viruses 2024, 16(11), 1748; https://doi.org/10.3390/v16111748 - 7 Nov 2024
Viewed by 1052
Abstract
Post-transcriptional gene regulation mediated by microRNAs (miRNAs) relies on sequence complementarity between the miRNA seed site and the target gene transcript(s). This complementarity can completely inhibit or reduce translation into protein. We hypothesized that viruses employ sequence complementarity/similarity with host miRNAs to inhibit [...] Read more.
Post-transcriptional gene regulation mediated by microRNAs (miRNAs) relies on sequence complementarity between the miRNA seed site and the target gene transcript(s). This complementarity can completely inhibit or reduce translation into protein. We hypothesized that viruses employ sequence complementarity/similarity with host miRNAs to inhibit or increase the miRNA-mediated regulation of host gene expression specifically during viral infection(s). In this study, we focus on Orthoavulavirus javaense (OAVJ), the causative of Newcastle disease, a poultry disease with significant economic impact. A computational analysis of OAVJ genomes from low-virulence (lentogenic) versus virulent (velogenic) viruses was carried out to identify viral signature motifs that potentially either mimic or complement host miRNA seed sequences. Data show that OAVJ genomes harbor viral seed mimics (vSMs) or viral seed sponges (vSSs) and can mimic host miRNAs or inhibit their regulation of host genes, disrupting cellular pathways. Our analyses showed that velogens encode a statistically significant higher number of vSMs and a lower number of vSSs relative to lentogens. The number of vSMs or vSSs did not correlate with gene length. The analysis of the secondary structures flanking these vSMs and vSSs showed structural features common to miRNA precursors. The inhibition or upregulation of vSS-miR-27b-5p altered P gene expression in a sequence-dependent manner. These data demonstrate that viral transcripts can interact with host miRNAs to alter the outcomes of infection. Full article
(This article belongs to the Special Issue Viruses, MicroRNAs and Host Interactions)
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Figure 1

Figure 1
<p>Differential abundance of viral seed mimics and seed sponges in AOAV-1 pathotypes. (<b>A</b>) Average number of viral seed mimics (vSMs) in lentogenic, mesogenic, and velogenic viruses are shown in clear, hatched, and filled bars, respectively. Data represent summary of <a href="#viruses-16-01748-t001" class="html-table">Table 1</a> and <a href="#viruses-16-01748-t002" class="html-table">Table 2</a> (*** indicates <span class="html-italic">p</span> &lt; 0.001). (<b>B</b>) Average number of viral seed sponges (vSSs) in lentogenic, mesogenic, and velogenic sequences are shown in clear, hatched, and filled bars, respectively. Data represent summary of <a href="#viruses-16-01748-t001" class="html-table">Table 1</a> and <a href="#viruses-16-01748-t002" class="html-table">Table 2</a>. Comparisons were completed using ordinary one-way ANOVA with Tukey’s multiple comparisons test with a single pooled variance.</p>
Full article ">Figure 2
<p>RNA secondary structure analysis identifies prominent stem–loop structures in vSMs and vSSs of interest. Secondary structure predictions of 100 nucleotides flanking vSM-148b-3p (<b>A</b>), vSM-15b-5p (<b>B</b>), vSM-129-5p (<b>C</b>), and vSS-27b-5p (<b>D</b>) are shown. The most stable structure based on lowest mean free energy, as predicted by RNAstructure with default parameters, is shown. Ct files obtained from RNAstructure were then analyzed using Ribosketch [<a href="#B69-viruses-16-01748" class="html-bibr">69</a>]. vSM and vSS residues are highlighted. Effects of shuffling the sequences of vSM-148b-5p (<b>E</b>) and vSM-15b-5p (<b>F</b>) are shown. Left panel represents secondary structure of original vSM, while the right panel represents the secondary structure of the scrambled sequence. Highlighted nucleotides (beginning at position 101) show the predicted vSM/vSS sequence. Only relevant parts of the full structure are shown for clarity. For vSS-27-b-5p, the reverse complement of the sequence is shown for clarity.</p>
Full article ">Figure 3
<p>Analysis of vSS-miR-27b-5p: (<b>A</b>) Sequence alignment of OAVJ P 2991-3002 interaction with gga-miR-27b-5p, as predicted by RNAhybrid, is shown. Straight lines indicate Watson–Crick base pairing. (<b>B</b>) Sequence logo demonstrates conservation of vSS-miR-27b-5p in all OAVJ strains analyzed. Height of letters corresponds to conservation. The vSS region is boxed. (<b>C</b>) Predicted mean free energy for miR-27b-5p-P gene transcript calculated from RNAhybrid and effect of progressive in silico point mutation on thermodynamic stability of the heterodimer are shown. Black sequence represents OAVJ P gene transcript while dark-blue sequence represents gga-miR-27b-5p. Changes to seed sequences are shown in red.</p>
Full article ">Figure 4
<p>vSS-miR-27b-5p modulates expression of CA18 M and P genes. Total RNA from chicken fibroblast (DF-1) cells infected with CA18 followed by transfection with controls or miR-27b-5p mimics/inhibitors was analyzed for expression of OAVJ M gene copy numbers (<b>A</b>,<b>C</b>) or fold change in P gene relative to glyceraldehyde phosphate dehydrogenase (GAPDH) (<b>B</b>,<b>D</b>). Panels A and B represent infection with CA18, while panels C and D represent infection with OAVJ strain LaSota. Data represent mean ± SD from triplicates. Standard curves conform to MIQE guidelines. ns = non-significant; * <span class="html-italic">p</span> &lt; 0.05, *** <span class="html-italic">p</span> &lt; 0.0005. Statistical significance was calculated using one-way ANOVA with single pooled variance and post hoc Dunnett’s test.</p>
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