Ribosome profiling of porcine reproductive and respiratory syndrome virus reveals novel features of viral gene expression
Abstract
Porcine reproductive and respiratory syndrome virus (PRRSV) is an arterivirus which causes significant economic losses to the swine industry worldwide. Here, we use ribosome profiling (RiboSeq) and parallel RNA sequencing (RNASeq) to characterise the transcriptome and translatome of both species of PRRSV and to analyse the host response to infection. We quantified viral gene expression over a timecourse of infection, and calculated the efficiency of programmed ribosomal frameshifting (PRF) at both sites on the viral genome. At the nsp2 frameshift site (a rare example of protein-stimulated frameshifting), −2 PRF efficiency increases over time, likely facilitated by accumulation of the PRF-stimulatory viral protein (nsp1β) during infection. This marks arteriviruses as the second example of temporally regulated PRF. Surprisingly, we find that PRF efficiency at the canonical ORF1ab frameshift site also increases over time, in apparent contradiction of the common assumption that RNA structure-directed frameshift sites operate at a fixed efficiency. This has potential implications for the numerous other viruses with canonical PRF sites. Furthermore, we discovered several highly translated additional viral ORFs, the translation of which may be facilitated by multiple novel viral transcripts. For example, we found a 125-codon ORF overlapping nsp12, which is expressed as highly as nsp12 itself at late stages of replication, and is likely translated from novel subgenomic (sg) RNA transcripts that overlap the 3′ end of ORF1b. Similar transcripts were discovered for both PRRSV-1 and PRRSV-2, suggesting a potential conserved mechanism for temporal regulation of expression of the 3′-proximal region of ORF1b. In addition, we identified a highly translated, short upstream ORF (uORF) in the 5′ UTR, the presence of which is highly conserved amongst PRRSV-2 isolates. This is the first application of RiboSeq to arterivirus-infected cells, and reveals new features which add to the complexity of gene expression programmes in this important family of nidoviruses.
Data availability
Sequencing data are available on ArrayExpress under accession numbers E-MTAB-10621, E-MTAB-10622 and E-MTAB-10623. Code for the core pipeline and differential gene expression analyses was based on the pipeline available on Github at https://github.com/firth-lab/RiboSeq-Analysis.For Figure 3 (panels D-F), the raw western blots and quantification values are provided in Figure 3-source data 1-5.For Figures 4 and 5, the source data can be found in Figure 4-source data 1-3 and Figure 5-source data 1-2. The data in these tables was also used to generate Figures 7 and 8 and Figure8-figure supplements 1 and 3.For Figure 6, the source data used to annotate the ORFs is provided in Figure 6-source data 1. The data in this table was similarly used to annotate the ORFs in Figure 6-figure supplements 1 and 2 and Figure 7. The expression data in this table was used to generate some of the plots in Figure 8 and Figure 8-figure supplements 2 and 3.For Figure 11, the source data can be found in Figure 11-source data 1-3.
Article and author information
Author details
Funding
Wellcome Trust (203864/Z/16/Z)
- Georgia M Cook
Wellcome Trust (102163/Z/13/Z)
- Lior Soday
Wellcome Trust (106207/Z/14/Z)
- Andrew E Firth
Wellcome Trust (202797/Z/16/Z)
- Ian Brierley
H2020 European Research Council (646891)
- Andrew E Firth
National Institute of Food and Agriculture (2015-67015-22969)
- Ying Fang
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Reviewing Editor
- Marina V Rodnina, Max Planck Institute for Biophysical Chemistry, Germany
Version history
- Received: November 18, 2021
- Preprint posted: November 19, 2021 (view preprint)
- Accepted: February 26, 2022
- Accepted Manuscript published: February 28, 2022 (version 1)
- Version of Record published: April 11, 2022 (version 2)
Copyright
© 2022, Cook et al.
This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.
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