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Nucleic Acids Research logoLink to Nucleic Acids Research
. 2024 Feb 26;52(6):3199–3212. doi: 10.1093/nar/gkae133

Cryptic proteins translated from deletion-containing viral genomes dramatically expand the influenza virus proteome

Jordan N Ranum 1, Mitchell P Ledwith 2, Fadi G Alnaji 3, Meghan Diefenbacher 4, Richard Orton 5, Elizabeth Sloan 6, Melissa Güereca 7, Elizabeth M Feltman 8, Katherine Smollett 9, Ana da Silva Filipe 10, Michaela Conley 11, Alistair B Russell 12, Christopher B Brooke 13,14, Edward Hutchinson 15, Andrew Mehle 16,2,
PMCID: PMC11014358  PMID: 38407436

Abstract

Productive infections by RNA viruses require faithful replication of the entire genome. Yet many RNA viruses also produce deletion-containing viral genomes (DelVGs), aberrant replication products with large internal deletions. DelVGs interfere with the replication of wild-type virus and their presence in patients is associated with better clinical outcomes. The DelVG RNA itself is hypothesized to confer this interfering activity. DelVGs antagonize replication by out-competing the full-length genome and triggering innate immune responses. Here, we identify an additionally inhibitory mechanism mediated by a new class of viral proteins encoded by DelVGs. We identified hundreds of cryptic viral proteins translated from DelVGs. These DelVG-encoded proteins (DPRs) include canonical viral proteins with large internal deletions, as well as proteins with novel C-termini translated from alternative reading frames. Many DPRs retain functional domains shared with their full-length counterparts, suggesting they may have activity during infection. Mechanistic studies of DPRs derived from the influenza virus protein PB2 showed that they poison replication of wild-type virus by acting as dominant-negative inhibitors of the viral polymerase. These findings reveal that DelVGs have a dual inhibitory mechanism, acting at both the RNA and protein level. They further show that DPRs have the potential to dramatically expand the functional proteomes of diverse RNA viruses.

Graphical Abstract

Graphical Abstract.

Graphical Abstract

Introduction

RNA viruses face a race against the clock. Once infection starts, the virus must quickly replicate its genome and exit the cell before antiviral responses can mount an effective defense. This prioritizes speed, especially for acute infections like influenza virus. But this need for speed comes at a cost – fidelity is sacrificed as the genome is copied quickly by the viral RNA-dependent RNA polymerase (1). The speed and lack of proof reading by the polymerase results in the frequent introduction of point mutations into the viral genome. The process introduces approximately 10−4 to 10−6 substitutions per nucleotide per strand copied (2–4). These subtle changes allow rapid viral evolution, and are one of the underlying reasons why influenza vaccines must currently be reformulated each year (5).

RNA virus polymerases are also prone to larger replication errors. Instead of mutating a single nucleotide, these errors create large internal deletions in genome segments (6,7). Most RNA viruses produce some version of deleted genomes, including important human pathogens like influenza virus, measles virus, SARS-CoV-2 and respiratory syncytial virus (8,9). Influenza virus deletion-containing viral genomes (DelVGs, sometimes referred to as defective viral genomes, DVGs) are aberrant replication products containing a deletion of more than 10 nts while retaining the cis-acting sequences necessary for replication, transcription and packaging into virions (6,10–13). Their smaller size gives them a competitive advantage during replication compared to their much larger wild-type (WT) counterparts (14). Indeed, the preferential replication of DelVGs is seen in high-throughput sequencing data for influenza A and B viruses where they cause an under-representation of the deleted regions in the middle of viral genome segments (15,16). DelVGs originate from all eight genome segments for during influenza virus infections in culture and in humans, but tend to be most abundant on the three largest genes that code for the viral polymerase subunits and possibly the next largest gene, hemagglutinin (13,17–22). When DelVGs are packaged into virions, they create defective interfering particles (DIPs). Because DelVGs and the DIPs they form no longer encode essential viral proteins, they must parasitize WT viruses for their own replication (23). In so doing, they suppress replication of the WT virus. This interference phenomena is not restricted to influenza virus, and is a common feature of most RNA viruses (8).

DelVGs arise naturally in human and animal infections (19–22,24). DelVG abundance is inversely correlated with the severity of influenza disease (25–27). As such, DelVGs and DIPs have been considered as alternative therapeutics, and recently used to disrupt SARS-CoV-2 replication in vivo (8,28–30). Yet, the specific mechanisms by which influenza virus DelVGs disrupt WT replication remain unclear. Most work has focused on the DelVG RNA itself. DelVG RNAs directly interfere with WT virus by competing for access to the viral replication machinery and possibly for packaging into virions (11,14,31). DelVG RNAs can also be immunogenic, indirectly interfering with viral replication by triggering innate immune sensing pathways that antagonize WT virus replication (24,32,33). A limited number of influenza virus DelVGs have been shown to produce proteins, but if and how this contributes to interference is still unclear (34–36). Translation of DelVGs during infection with mouse hepatitis virus, Zika virus, or an engineered human respiratory syncytial virus actually enhanced replication of the DelVG or the virus (37–39).

Here, we reveal a new actor that interferes with WT virus replication – DelVG-encoded proteins (DPRs). We show that influenza virus DelVGs are translated, producing hundreds of unique proteins. For DelVGs where the deletion remains in-frame, this results in DPRs with native N- and C-termini, but large internal deletions. For DelVGs with out-of-frame deletions, this produces proteins with unique C-termini. DPRs derived from PB2 with native and unique C-termini disrupted replication of WT virus, even demonstrating cross-strain interference. Mechanistic studies showed that PB2 DPRs act as dominant-negative inhibitors that poison the viral replication machinery. Thus, DelVGs have a multipronged inhibitory activity. The RNAs themselves antagonize WT virus, and we now show that the enormous variety of DPRs encoded by DelVGs include proteins that regulate the rate of viral replication.

Materials and methods

Cells, viruses, and plasmids

Experiments were conducted on A549 (ATCC CCL-185), HEK 293T (ATCC CRL-3216), MDCK (ATCC CCCL-34) or MDCK-SIAT1-TMPRSS2 cells (a kind gift from J. Bloom (40)). MDCK-SIAT1-TMPRSS2 stably expressing PB2 were generated by retroviral gene delivery of a codon-optimized PB2 gene. Cells were maintained in Dulbecco's modified Eagle's medium (DMEM; Mediatech 10–013-CV) with 10% FBS and grown at 37°C in 5% CO2.

pCDNA3-based vectors for A/WSN/1933 (WSN) proteins and pBD bi-directional reverse genetics plasmids were previously described (41). pBD-PB2-TRAP-V5 encodes a PB2 gene segment that expresses V5-tagged proteins only when translated from a DelVG (Supplemental File 1). To achieve this, we first identified the last 327 nt of the PB2 ORF as a 3′ junction zone where most PB2 DelVGs reinitiate. We inserted an additional copy of this sequence downstream of the native PB2 stop codon, duplicating the junction zone. This also maintained a contiguous packing sequence, as was done previously (42). We then codon optimized the last 106 nt of the PB2 ORF to minimize direct repeats with the sequence copied downstream of the stop codon. The copied 3′ junction zone was further modified to remove stop codons in all three frames. Coding sequence for the V5 epitope tag was then inserted at the 3′ end of the repeated junction zone in all three frames. In this way, native PB2 is produced under normal circumstances and can support viral replication, while V5-tagged proteins are only produced if deletions arise that create junctions in the 3′ end of the reporter than maintain an open reading frame with one of the V5 coding sequences. All sequences were confirmed by sequencing.

All virus and virus-derived protein expression constructs are based on A/WSN/1933 except where indicated. Viruses were rescued using the pBD bi-directional reverse genetics system (43). PASTN reporter viruses expressing PA-2A-NanoLuc have been described (44–46). Rescue supernatants were used to initiate low MOI infection (MOI = 0.01–0.001) on MDCK-SIAT1-TMPRSS2 cells and virus was harvested ∼48 hpi to obtain stocks of WSN and PASTN. PB2 TRAP V5 virus was generated by replacing wild type PB2 with PB2 TRAP V5. Three different plaque-purified stocks of PB2 TRAP V5 were grown by placing the picked plaque directly on to MDCK-SIAT1-TMPRSS2 cells. All stocks were titered on MDCK cells by plaque assay.

DelVG viruses were created by substituting the PB2 gene segment with a cloned version of a DelVG. PB2 protein was provided in trans during transfection of the 293T cells. Virus was amplified and titered using MDCK-SIAT1-TMPRSS2 stably expressing PB2.

WSN PB2 TRAP V5 virus and DelVG viruses were confirmed by RT-PCR and Sanger sequencing using a universal primer set (47), and western blot.

Transfections were completed using TransIT X2 (Mirus Bio) with a 3:1 reagent:DNA ratio following the manufacturers’ recommendation.

Antibodies

V5 proteins were captured using V5 trap agarose beads (Chromotek v5ta). The following antibodies were used for western blot analysis: rabbit anti-PB1 (41), rabbit anti-PB2 (41), rabbit anti-V5 (Chromotek 14440-1-AP), and mouse anti-V5-HRP (Sigma V2260).

Amplicon-based sequencing of influenza virion RNA using Illumina

A viral stock of WSN or three plaque-purified stocks of PB2 TRAP V5 were treated with 0.25 μg of RNaseA for 30 min at 37°C. Viral RNA was purified with the QIAamp Viral RNA Kit (Qiagen 52904). cDNA was synthesized using the Superscript III Reverse Transcriptase (Invitrogen 18080–044) and primed with MBTUni-12 (5′-ACGCGTGATCAGCRAAAGCAGG-3′). All 8 segments were amplified in a multiplex PCR is MBTUni-12 primer, MBTUni-13 primer (5′-ACGCGTGATCAGTAGAAACAAGG-3′) and Phusion Polymerase (NEB M0530L). PCR products were purified with PureLink PCR Purification Kit (Invitrogen K310002) and eluted in 30μL of Nuclease-free water (Ambion). The RT-PCR procedure was repeated in duplicate for each virus sample. The PCR products were then subjected to next generation sequencing using the Illumina NovaSeq or MiSeq platforms.

DelVG mapping and quantification in viral stocks

We applied our DelVG-detection pipeline (15) (available at https://github.com/BROOKELAB/Influenza-virus-DI-identification-pipeline). In addition to the standard pipeline, we increased confidence in sequence mapping by using the correlation between replicate sequencing runs of the same sample to calculate the Read Support cutoff (RSC) values (15). DelVG were identified in these filtered dataset using a modified version of ViReMa (15,48). The presence of repeated sequence in our PB2 TRAP V5 reporter raised the possibility that DelVG assignments may be miscalled. In addition to the standard 25 nt seed used for mapping, we re-ran the analysis using a 52 nt seed, the minimal length needed for unique mapping in the reporter. Only two reads were miscalled and they were excluded from further analysis. The parallel-coordinate maps were generated by adapting an example code (https://observablehq.com/@drimaria/parallel-coordinates-d3-v4) from the D3.js platform.

Identification of DelVGs in Ribo-Seq data

Ribosome profiling experiments were previously reported in Tran, Ledwith et al. (2021) (BioProject PRJNA633047) (49). Data were reanalyzed with a modified version of ViReMa (48) paying attention to read depth at the termini of gene segments and to specifically identify and quantify chimeric ribosome protected fragments (RPFs) spanning the deletion junction of a DelVG.

Direct RNA sequencing of influenza virions paired mass spectrometry analysis

Long-read sequencing was performed on stocks of WSN that had been generated using a previously-described eight-plasmid reverse genetics system (50), and stocks were used to infect MDCK cells in roller bottles at a multiplicity of infection of 0.01 PFU/cell. After 48 h, supernatants were clarified by low-speed centrifugation, and influenza virions were concentrated and purified by a two-step ultracentrifugation through a cushion and a gradient of OptiPrep (Sigma) in NTC buffer (100 mM NaCl, 20 mM Tris–HCl pH 7.4, 5 mM CaCl2), as previously described (51).

Next, genomic RNA was extracted from purified virions using a Direct-zol RNA Miniprep kit (Zymo) according to the manufacturer's instructions. 1 μg of freshly purified RNA was prepared for sequencing using a Direct RNA sequencing kit (SQK-RNA002, Oxford Nanopore Technology), with the supplied RT adapter targeting mRNA being replaced with an influenza A virus-specific RT adapter that targets the 12 nucleotides conserved at the 3′ end influenza A virus RNA segments as described previously (52). The modified RT adapter was prepared by annealing primers RTA_FluA (5′- /5PHOS/GGCTTCTTCTTGCTCTTAGGTAGTAGGTTC-3′) and RTA_FluB (5′-GAGGCGAGCGGTCAATTTTCCTAAGAGCAAGAAGAAGCCAGCRAAAGCAGG-3′, replaced sequence underlined). Adapter ligated RNA was sequenced on a MinION nanopore sequencer using FLO-MIN106 flow cell for 48 hours. The resulting fast5 files were basecalled using guppy version 2.3.5.

Nanopore reads were mapped to the WSN genome using minimap2 followed by samtools to create a BAM alignment file (53). Each of the mapped reads within the BAM file were examined for the presence of deletions utilizing the CIGAR alignment string within the BAM file, with the start and end genome coordinates of each deletion extracted. A heatmap was created as a visualization of the frequency of all the deletions >50 nucleotides observed on each genome segment, with the deletion start and end coordinates binned into windows of 50 bases across the genome. The heatmap was created using ggplot (54,55). Long-read data suggested frequent smaller deletions along the length of each segment of ∼50–100 nt. However, these were not detected at similar frequencies in our amplicon-based sequencing data, and thus it is not clear whether this is reflective of true deletions in the genome or an artifact of the direct RNA sequencing approach. For each deletion observed on each segment, a DelVG segment sequence was created in silico by introducing a corresponding deletion into that sequence from the reverse genetics WSN genome. All of these DelVG segment sequences were then translated in all six frames using EMBOSS-getORF to predict protein sequences with more than 30 amino acids between their start and stop codons (56).

To test whether these predicted proteins could be translated and packaged into virions, we used the six-frame translations of the DelVG sequences to re-query mass spectra previously obtained from purified WSN virions (57). Briefly, this stock of WSN had been grown on MDBK cells and then purified by sucrose gradient ultracentrifugation, either with or without a haemadsorption (HAd) step; its proteins were extracted and digested with trypsin, and liquid chromatography and tandem mass spectrometry (LC-MS/MS) had been performed using a Q Exactive mass spectrometer (Thermo Electron, Hemel Hempstead, UK). The raw data files can be downloaded from MassIVE (http://massive.ucsd.edu/ProteoSAFe/datasets.jsp) using the MassIVE ID MSV000078740 (without HAd: C121116_014.raw, C130214_015.raw, D130107_004.raw; with HAd: C130610_004.raw, C130702_003.raw, C130712_028.raw). Data were analyzed using MaxQuant v.1.6.3.4, using a custom protein database concatenated from several proteomes as described previously (51,58). The proteomes used were: (i) the Bos taurus proteome (UniProt UP000009136, downloaded on the 16 May 2017) and manually edited to remove all repeats of the ubiquitin sequence; (ii) a single repeat of the ubiquitin sequence; (iii) the proteome of our reverse genetics strain of WSN, and (iv) the complete six-frame translations of all of the DelVG sequences identified in the long-read experiment. MaxQuant's list of common protein contaminants was also included in the search. Protein and peptide false discovery rates were set to a maximum of 1% using a reverse sequence database. Proteins translated from DelVGs (DPRs) were identified on the basis of peptide spectra that were matched to sequences translated from DelVG segments and which were not found in translations of the reference influenza virus genome segments. The DelVGs identified as encoding DPRs are highlighted on the heatmap by a black circle at the co-ordinates corresponding to the start and end of their genomic deletion.

Cloning DPRs

RNA was extracted from the supernatant of MDCK cells infected with the PB2 TRAP V5 virus using Trizol (Invitrogen). RNA was reverse-transcribed with Superscript III (Invitrogen) using primers specific to the PB2 segment. cDNA was amplified via PCR using primers annealing to PB2 UTRs that would capture full-length PB2 and DelVGs. Products were cloned into pCDNA3, pBD or the viral RNA expression vector pHH21 and sequenced. To create versions that contained premature stop codons, DPRs cloned into pHH21 were mutated by introducing stop codons in all three frames beginning at the fourth codon of the open reading frame.

Co-immunoprecipitation

HEK 293T cells were transfected with plasmids expressing NP, PB2-DelVG-V5, PB2, PB1 and PA. Transfection was performed with TransIT X2 (Mirus Bio) using a 3:1 reagent:DNA ratio. Cells were lysed 24- 48 hpi in coIP buffer (50mM Tris pH 7.4, 150 mM NaCl, 0.5% NP40 and 1× protease inhibitors) and clarified by centrifugation. PB2-V5 proteins were captured with V5 trap agarose beads and washed at least three times with coIP buffer. Precipitating proteins were detected by western blot.

Polymerase activity assay

Polymerase activity assays were performed by transfecting HEK 293T cells with plasmids expressing NP, PB2, PB1 and PA and pHH21-vNA luc expressing a model vRNA encoding firefly luciferase (59). A plasmid expression Renilla luciferase was included as a transfection control. Transfection was performed with TransIT X2 (Mirus Bio) using a 3:1 reagent:DNA ratio. Where indicated, PB2-DelVG-V5 proteins were co-transfected in these cells to test their inhibitory potential. Cells were lysed 24 hours after transfection in passive lysis buffer (Promega) and firefly and Renilla luciferase activity were measured. Results were normalized to the internal Renilla control. Protein expression was assessed by western blot.

Transfection-infection

HEK 293T cells were seeded into a 6 well plate and transfected the next day with plasmids expressing PB2-DelVG-V5 or an empty pCDNA3 control. Transfection was performed with TransIT X2 (Mirus Bio) using a 3:1 reagent:DNA ratio. Cells were split 1:2 24 h after transfection. 24 h after that, cells were inoculated with the PASTN reporter virus at an MOI of 0.05. Supernatants were harvested 24 h post-infection. Viral titers were measured by infecting MDCK cells and measuring Nanoluciferase activity 8 h later with the Nano-Glo Luciferase Assay System (Promega)(60).

Co-infection and fitness competition assays

Recombinant viruses encoding PB2 DPRs 416/2189 or PB2 195/2223 in place of full-length PB2 were rescued in 293T cells co-expressing WT PB2 protein. PB2 DPR viruses were amplified by using rescue supernatant to initiate a low MOI infection (MOI = 0.01–0.001) of MDCK-SIAT1-TMPRSS2 stably expressing PB2. Virus was harvested ∼48 hpi and stocks were titered on MDCK-SIAT1-TMPRSS2 stably expressing PB2. Co-infections were performed by inoculating MDCK cells with WT PASTN virus (MOI = 0.05), and where indicated PB2 DPR viruses were also added (MOI = 0.05 or 0.1). Supernatant was recovered and yield of WT virus was measured via Nano-Glo viral titer assay (44).

HA segments expressing PB2 DPRs were designed as before (61) and cloned into pHW2000. All upstream start codons present in the packaging signals were mutated and sequence for PB2 416/2189 or a mutant containing a premature stop codon was inserted. Viruses encoding the artificial HA segment were rescued, amplified and titered on cells expressing HA protein. Competition experiments were performed by infecting HA-expressing MDCK cells at an MOI = 0.01 with a 1:1 mixture of viruses with WT PB2 416/2189 or the premature stop mutant. Virus was harvested 72 hpi. RNA was extracted from the inoculum mix and output virus and was quantified with genotype-specific primer pairs by RT-qPCR. WT was detected with 5′-CTCGCACTCGCGAGATACTC-3′ and 5′-CCAAAAGCACCAGGATCATTG-3′ while the premature stop mutant was detected with 5′-CTCGCACTCGCGAGATATAG-3′ and 5′-AGACCAAAAGCACCAGGATCCCTA-3′. Plasmids bearing each variant were used to generate a qPCR standard curve, against which a linear regression was used to back-calculate normalized copy number values for each molecular species and correct for relative inefficiencies in qPCR. Inoculums were generated from two independent virus rescue experiment. Each inoculum was then used for two independent competition experiments. Each qPCR value was calculated as the mean of technical triplicates. A competitive index was calculated for each of the four trials by dividing the mutant:WT ratio following infection by the mutant:WT in the inoculum.

Statistics

Experiments were performed in at least biological triplicate, with each including at least three technical replicates. Results are presented as grand mean of three biological replicates ± standard error, or mean of a representative biological replicate ± standard deviation, as indicated. Statistical significance of pairwise comparisons were made with a two-tailed Student's t-test or one-sample t-test. Multiple comparisons were assessed by ANOVA with post hoc Dunnett's multiple comparisons test. The correlation between input RNA and ribosome-protected fragments was determined using a Spearman's correlation coefficient. χ2 tests were used to test for deviation from an expected distribution.

Results

Translation of DelVG mRNAs

DelVGs are replicated and transcribed, but the degree to which they are translated is unknown. We performed amplicon-based sequencing of virion-associated RNA from A/WSN/33 (WSN; H1N1) stocks to identify and characterize the DelVGs present in our viral stocks. As DelVGs contain large internal deletions, our analysis pipeline explicitly allowed discontinuous mapping of reads for precise identification of deletion junctions (15). In addition to full-length vRNA, DelVGs originating from all genomic segments except HA were identified (Figure 1a and Supplementary Figure S1a). Of the 137 DelVGs detected, 86% were derived from the polymerase gene segments (Supplemental Table S1), consistent with prior work showing that these larger segments are more likely to be the source of DelVGs (13,17–22). DelVG breakpoints were heavily concentrated near the termini, with ∼90% starting within the first 400 nt of a fragment and rejoining with the last 450 nt (Figure 1a-b, Supplementary Figure S1a, b, Supplemental Table S1). While we represent DelVGs in cRNA orientation, it is not known whether deletions were formed during cRNA or vRNA synthesis. Further, the DelVGs that were detected are not necessarily reflective of all of those that were made, but rather those that were maintained in the viral population over multiple rounds of replication (14).

Figure 1.

Figure 1.

Transcription and translation of deletion-containing viral genomes (DelVGs). (A) Virions contain DelVGs with protein-coding potential. DelVG were identified by amplicon-based sequencing of genomic RNA purified from WSN virions and visualized by parallel coordinate mapping. PB2 is shown as plus-sense cRNA, and each PB2 DelVGs is depicted by a line connecting the 5′ (top) and 3′ (bottom) ends of each deletion. The reading frame downstream of the deletion was predicted, revealing the potential to produce internally deleted PB2 variants in the +0 frame or chimeric proteins in +1 and +2 frames. (B) Junctions and read depth were determined for all DelVGs and plotted as a function of their positions from the ends of the respective viral gene. Note that none of the DelVGs in this sample mapped to HA. (C) DelVGs are translated. Ribo-Seq data obtained from cells infected with the same viral stocks as above were reanalyzed to allow for discontinuous mapping of ribosome-protected fragments (RPFs). top, Read depth of total mRNAs (lines) and RPFs (filled) were mapped to PB2 in two independent replicates. bottom, RPFs containing deletion junctions are shown as arcs, where line width reflects read depth. (D) Parallel coordinate mapping of PB2 RPFs containing deletion junctions, performed as in (A). (E) Junctions and read depth were determined for all RPFs containing deletions and plotted as a function of their positions from the ends of the respective viral gene. (F) The abundance of deletion-containing fragments from PB2 is correlated between total RNA and RPFs. Data are composite of two independent Ribo-Seq experiments. Spearman's correlation coefficient (r) between total and RPF read depth for each DelVG is shown. See also Supplementary Figures S1S2 and Supplemental Tables S1 and S2 for remaining gene segments, bubble plots showing the entire gene length, and predicted protein products.

Analysis of DelVG sequence revealed that 30% retained the original reading frame after the deletion (Figure 1A; Supplemental Table S1), raising the possibility that mRNAs transcribed from DelVGs have the potential to produce protein products that are fusions between the N- and C-termini of the parental protein. The remaining DelVGs shifted into the +1 or +2 reading frame downstream of the junction. Transcripts from these would code for proteins with a native N-terminus followed by entirely new protein sequence downstream of the junction until encountering a stop codon that is normally out of frame. For PB2 DelVGs in our stock, we predicted this would result in translation of up to 17 amino acids from an alternative reading frame downstream of the native N-terminus (Supplemental Table S1).

This coding potential suggests that DelVGs may be translated. To determine if DelVGs mRNAs are translated during infection, we re-analyzed ribosome profiling (Ribo-Seq) data we had previously obtained from A549 lung cells infected with WSN (49). High-throughput sequencing of total RNA from infected cells showed high read coverage at the termini of PB2, consistent with the presence of DelVGs in our viral stocks (Figure 1C). This pattern was also seen in ribosome-protected fragments. Mapping of ribosome-protected fragments on PB2 identified 50 unique DelVG junctions (Figure 1c, bottom), which could only occur if DelVGs were actively undergoing translation. Over 300 unique DelVGs derived from all 8 segments were detected in ribosome-protected fragments across two biological replicates (Supplementary Figure S2a, Supplemental Table S2). A similar distribution of DelVGs was present in the total RNA extracted from these cells (Supplementary Figure S2b). The reading frame downstream of the deletion junctions in ribosome-protected fragments did not differ significantly from an equal distribution across all three frames (χ2P> 0.05, Supplemental Table S2). Most of the predicted DelVG-encoded proteins were less than 250 amino acids in length (Supplementary Figure S2c). Reading frame usage showed no obvious correlation with deletion size or the position of deletion junctions for both ribosome-protected fragments and total RNA (Figure 1D, Supplementary Figure S2b). As in our viral stocks, deletion junctions were enriched near the termini of gene segments (Figure 1E, Supplementary Figure S2d, e). The abundance of specific PB2 DelVGs in total RNA versus ribosome-protected fragments is positively correlated (Figure 1F). This correlation may be underestimated by our data, as short-read sequencing of total mRNA has inherent length-dependent bias that over-represents smaller fragments, which is absent from the Ribo-Seq approach. This suggests that the probability of translation is a function of concentration with no obvious preference for a particular type of DelVG mRNA.

DelVGs arise naturally during influenza virus infections in humans and animals (19–22,24). Analysis of sequencing results from human influenza virus infections revealed DelVGs with protein-coding potential in challenge studies with A/Wisconsin/67/2005 (H3N2) and in naturally acquired infections with A/Anhui/1/2013 (H7N9) (20,22). DelVGs from patients were primarily derived from the polymerase segments. Human-derived PB2 DelVGs from both studies encoded potential protein products in all three frames, and several of these were of similar sequence to those detected in our viral stocks (Supplementary Figure S3 and Supplemental Table S3). Thus, DelVGs with protein coding potential arise in vitro and in vivo and their mRNAs are translated into proteins, some of which contain entirely new C-terminal sequences derived from alternative reading frames.

Cryptic viral proteins produced by DelVG mRNAs

Influenza A virus encodes at least 14 canonical proteins (62). To test for the presence of non-canonical DelVG-encoded proteins, we combined direct RNA sequencing of viral genomes with mass spectrometry proteomics. Direct RNA sequencing covers entire genome segments in a single continuous read without copying into cDNA or amplification allowing for direct detection of deletions. Direct RNA sequencing of virion-derived genomes identified DelVGs with large internal deletions in each genome segment that retained the terminal ∼200 nt (Figure 2A), mirroring our short-read data. These DelVG sequences, along with the full-length viral genome, were then subjected to a complete 6-frame translation in silico to create a search database of hypothetical proteins that could be translated from a wide variety of different DelVGs. Mass spectrometry analysis was performed on proteins extracted from purified virions. Mapping spectral matches to the 6-frame database identified peptides derived from translation of both the full length reference mRNAs and of DelVG mRNAs (Figure 2A, B and Supplemental Table S4). A large constellation of DelVG-encoded proteins (DPRs) were detected, derived from 7 of the 8 genome segments. These ranged from a big DPR of 526 amino acids encoded by a HA DelVG to a little DPR of only 18 amino acids that shared an N-terminus with PB1-F2 (Figure 2B). Some of these peptides appear to have originated from proteins using alternative initiation codons (Supplemental Table S4). M DelVGs yielded the highest number of unique DPR types when compared to all other segments. Whether this distribution reflects overall DPR abundance, stability, or the fact that we analyzed proteins packaged into virions remains to be determined. Together, our results show that not only do DelVGs have coding potential, but they are also translated and produce unique proteins, some of which are incorporated into virions.

Figure 2.

Figure 2.

Chimeric proteins translated from deletion-containing viral mRNAs. (A) DelVGs were identified by direct RNA sequencing of virion-derived viral genomes. Deletion junctions for each of the 8 genomic segments were binned into 50 nt groups and plotted on heatmaps to represent their abundance. These DelVGs were used to create a query database for detection of DelVG-encoded proteins. Proteins extracted from purified virions were subject to mass spectrometry. Identified chimeric peptides are indicated by black dots mapped onto to the DelVGs that encoded them. (B) Histogram showing the lengths of DPRs encoded by DelVGs detected by direct RNA sequencing compared to the length of the corresponding protein encoded by a full-length segment.

DelVG-encoded proteins arise de novo

Our viral stocks were produced via plasmid-based reverse genetics (63), and in theory should have started as a clonal population containing full-length genomes. The DelVGs and DPRs that we identified presumably arose as our viruses replicated to produce working stocks. To elucidate the emergence and translation of DelVGs and the potential function of these proteins, we designed the influenza virus reporter PB2 V5 TRAP (Figure 3A). The majority of PB2 DelVGs contain 3′ junctions within the last 300 nt of the cRNA (Figures 1 and 2) and so we created a virus that would identify deletions ending in this region. To do this, we inserted an additional copy of this 3′ junction zone downstream of the native PB2 stop codon. The repeated region was modified to remove stop codons and to encode V5 epitope tags in all three reading frames. In this way, the PB2 V5 TRAP virus produces native PB2 from its full-length genomes, while V5-tagged DPRs would be produced by DelVGs with a break-point placed in any frame of the repeated junction zone.

Figure 3.

Figure 3.

DelVG-encoded proteins are expressed during infection. (A) Diagram of the PB2 gene in a A/WSN/33 reporter virus designed to capture expression of DelVG-encoded proteins. Sequence from the 3′ junction zone of DelVGs was repeated downstream of the native stop codon. Stop codons were purged in all three frames from the repeated sequence to enable expression of a V5 epitope tag on proteins translated from this region. (B) Parallel coordinate mapping of DelVGs identified by amplicon-based sequencing the PB2 TRAP V5 stock #1. DelVGs with the potential to express V5-tagged proteins (top) and the remaining DelVGs (bottom) are shown. (C) Junctions and read depth were determined for all DelVGs in three independent plaque-purified stocks and plotted as a function of their positions from the ends of the respective viral gene. Note that none of the DelVGs in this sample mapped to NS. (D) Expression of DelVG-encoded proteins (DPRs) in infected cells. Cells were infected with WT or PB2 V5 TRAP virus. Infected-cell lysate was probed with anti-PB2 antibody by western blot, while epitope-tagged DPRs were immunoprecipitated and detected with anti-V5 antibody. For (A) and (B) See also Supplementary Figure S4, S4 and Supplemental Table S4.

Recombinant PB2 V5 TRAP virus was rescued and used to generate plaque-purified stocks to ensure we began with a clonal population. Importantly, only viruses encoding a full-length PB2 gene should be able to replicate during plaque purification. Three clones of reporter virus were selected, amplified as viral stocks, and DelVGs were identified by amplicon-based sequencing of vRNA. Over 350 distinct DelVGs were detected in all segments except NS (Supplementary Figure S4a, Supplemental Table S3). Again, DelVGs were enriched in the polymerase genes. Patterns of DelVG junctions paralleled those present in WT WSN stocks (Figure 3B, C, Supplementary Figure S4a-b), except that in the PB2 V5 TRAP reporter 3′ junctions were relocated downstream to the repeated junction zone as anticipated (Figure 3B). DelVGs encoding >100 potential V5-tagged proteins were identified (Supplemental Table S5). The + 1 reading frame was overrepresented (χ2 < 0.05), but whether this bias represents a preference in PB2 DPR production or is a consequence of the reporter design is not clear.

Cells were infected with WT or the PB2 V5 TRAP virus. Lysates were probed for PB2, revealing multiple lower molecular weight proteins (Figure 3D). To confirm that these were DelVG-encoded, antibodies that recognize the V5 tag were used to immunopurify proteins from the lysates and to detect the recovered proteins by western blot. Three prominent bands were detected exclusively in cells infected with the reporter virus, including a 50 kDa protein that was also clearly detected in the total lysate. These data from plaque-purified virus demonstrate that DPRs are produced from DelVGs that arise de novo during viral growth. Our sequence analysis, proteomics and experimental validation provide multiple lines of evidence that reveal DPRs as a new class of viral proteins.

PB2 DPRs are dominant negative inhibitors of polymerase activity and viral replication

The function of DPRs, if any, was not known. To investigate this, we cloned cDNA encoding PB2 DPRs from our reporter virus for further study. Of nine randomly cloned PB2 DelVGs, eight had protein coding potential (Figure 4A, Supplemental Table S6). The ninth, PB2 32/2143, had a premature stop after the first four codons; this then served as a negative control in functional assays allowing us to isolate the impact of DelVG RNA from that of DPRs. Five of these potential proteins from PB2 V5 TRAP have equivalent versions when mapped back to WT PB2 (Figure 4A). As PB2 is an essential subunit of the viral polymerase, we assessed the impact of PB2 DPRs on polymerase function. PB2 DPRs were co-expressed in polymerase activity assays. Polymerase activity was significantly reduced by all DPRs, except the negative control PB2 32/2143 (Figure 4B). Thus, proteins encoded by PB2 DelVGs interfere with polymerase activity.

Figure 4.

Figure 4.

DPRs are dominant-negative inhibitors of the influenza virus polymerase and viral replication. (A) DelVGs cloned from cells infected with the PB2 TRAP V5 reporter virus. Deletion junctions were mapped back to WT PB2 and used to name each DelVG. Numbering is based on full-length PB2 cRNA and indicates the last nucleotide of the upstream portion and the first nucleotide of the downstream sequence. The expected size of the V5-tagged DPR from the reporter virus is indicated as is the predicted size if this deletion arose in a wild-type virus. PB2 208/2580 (Δ126/145) contains an additional deletion. aIdentical sequence surrounding the 5′ and 3′ junction precludes precise mapping, with the junction spanning 25–32/2136–2143. bThe 3′ junction is within the V5 epitope coding sequence and does not have analogous position in WT virus. cThe equivalent DelVG in a WT background lacks a stop codon, making it unclear if it would produce a protein. (B) Polymerase activity assays were performed in 293T cells in the presence or absence of the indicated DPRs. PB1, PB2, PA, NP and DPRs are all derived from WSN. Data are normalized to co-transfected Renilla luciferase. (C) Polymerase activity assays were performed as in (b) in the presence of PB2 416/2189 or a version containing premature stop codons. DPR expression was detected by western blot. Molecular weight (kDa) is shown. (D) Fitness competition assays were performed by coinfecting with a virus encoding PB2 416/2189 and a version containing a premature stop codon. Genotypes were quantified by RT-qPCR and a competitive index was calculated for the premature stop mutant versus WT following coinfection. (E) Polymerase interference by heterotypic DPRs. Polymerase activity assays in the presence or absence of the PB2 416/2189 DPR were performed as in (b), expect the DPR was cloned from the indicated viral strain. DPR sequence is shown at the top and expression was confirmed by western blot. (F, G) DPRs suppress viral replication. (F) The indicated DPRs were ectopically expressed in cells prior to infection with an influenza reporter virus. Supernatants were harvested 24 hpi and viral titers were measured. DPR expression was assessed by western blot. (G) Cells were co-infected with a wild-type reporter virus and a clonal virus encoding the indicated DPR in place of PB2. Replication of the wild-type virus was measured by titering the supernatant via a luciferase-based assay. For B–F data are mean of a representative biological replicate of n = 3–6. For G, data are shown as the grand mean of n = 3 independent biological replicates, each performed in technical triplicate. Statistical significance was assessed by Student's t-test (C), a one-sample t-test (D) or for others, using an ANOVA with post hoc Dunnett's multiple comparisons test. *P < 0.05, **P < 0.01, ***P ≤ 0.001. ****P < 0.0001.

We tested the cumulative effects of both the DelVG RNA and DPR on polymerase activity and viral replication. We focused on PB2 416/2189 as it was the most abundant DPR amongst those that we cloned from our reporter stock. Similar DelVGs were also identified in our WSN stock and Ribo-Seq data (Supplemental Tables S1, S2, S4). Expressing the PB2 416/2189 vRNA dramatically reduced polymerase activity compared to the control (Figure 4C). This inhibitory activity was partially dependent on the encoded DPR, as polymerase activity was partially restored in the presence of a mutant vRNA containing premature stop codons that reduce DPR expression. However, DelVGs that do not express DPRs still retain substantial inhibitory activity. Curiously, despite three stop codons in different frames at the very beginning of the open reading frame, this mutant still expressed low amounts of proteins, possibly by reinitiating at the methionine at position 11 (Figure 4C). We further tested the contribution of DelVG RNA versus DPR in the context of viral replication. We engineered viruses where the HA gene was replaced with PB2 416/2189, or by a mutant PB2 416/2189 with a stop codon at position 20. These viruses were grown on cells that supplied HA protein in trans. The relative fitness of each genotype was measured by co-infecting cells with an equal mixture of DPR-expressing and premature-stop mutant viruses. A competitive index was calculated by comparing genotype ratios after competition to those in the inoculum. The mutant virus with the truncated DPR outcompetes virus expressing WT PB2 416/2189 (Figure 4D), indicating that DPR expression reduces fitness. While DelVGs were known to interfere with replication (6), these data now show that the translated DPRs themselves also directly contribute to this inhibition.

The sequence for WT PB2 416/2189 is highly conserved amongst influenza A viruses, raising the possibility that a wide variety of strains, including those in naturally-occurring infections, could produce DPRs with inhibitory activity (Figure 4E). To test this, polymerase activity assays were performed with the WSN-derived polymerase and NP in combination with PB2 416/2189 DPRs cloned from different primary isolates of influenza A virus. We detected heterotypic inhibition of WSN polymerase using DPRs derived from the 1918 H1N1 pandemic virus, the 2009 H1N1 pandemic virus, and an emerging H7N9 virus (Figure 4E). The sequence and deletions in several of the potential DPRs identified in human H3N2 and H7N9 samples were similar to the inhibitory DPRs we tested here (Supplemental Table S3), suggesting that inhibitory activity of DPRs may be shared across influenza virus strains.

Given the ability of DPRs to disrupt polymerase activity, we tested their impact on viral replication. DPRs were expressed in cells prior to infection. Pre-expressing PB2 416/2189 or PB2 195/2223 reduced virus titers by 50% (Figure 4F). In contrast, the PB2 32/2143 DelVG that contains a premature stop codon had no effect, yielding viral titers indistinguishable from controls. To exclude the possibility that the pre-expression process artifactually altered replication, we utilized influenza virus itself to deliver the DPR. We created viruses encoding PB2 416/2189 or PB2 195/2223 in place of full-length PB2. These viruses were propagated and titered on cells constitutively expressing native PB2 protein. DPR viruses were used for co-infection experiments with a WT WSN NanoLuc reporter virus (44). Titering samples using the NanoLuc reporter allowed us to uniquely measure replication of the WT virus, and not the DPR virus (60). Co-infection with increasing amounts of the DPR virus showed a dose-dependent inhibition of WT WSN, reducing titers by up to 75% (Figure 4G). Our data show that DPRs inhibit replication and that viruses encoding DPRs function as classic defective interfering particles.

PB2 DPRs are dominant negative inhibitors of polymerase assembly

The influenza virus polymerase assembles into a functional trimer containing PB1, PB2 and PA. The N-terminal 37 amino acids of PB2 form three α-helices that intertwine with the C-terminus to PB1 (64). Most of our PB2 DPRs retained this portion of the full-length protein, but lacked other important function domains, including the cap-binding domain, the 627 domain, and possibly the nuclear localization signal. The N-terminus is sufficient for PB1 binding (64,65), raising the possibility that PB2 DPRs might interact with PB1. To test this, cells were infected with the PB2 V5 TRAP virus and DPRs were immunopurified from cell lysates. Blotting revealed co-precipitation of PB1 when V5-tagged DPRs were present, but not during infection with WT virus (Figure 5A). Interactions between PB1 and PB2 DPRs were investigated further by expressing only these two proteins in cells. Again, PB1 co-precipitated with the PB2 DPRs 416/2189 and 195/2223 (Figure 5B). Thus, not only do these proteins interact, PB2 DPRs are likely directly engaging PB1 without the need for other viral proteins.

Figure 5.

Figure 5.

DPRs compete for assembly of function viral polymerase. (A, B) PB2 DPRs interact with PB1. (A) Lysate were prepared from cells infected with the PB2 TRAP V5 virus and DPRs were immunopurified via their V5 tag. DPRs and co-precipitating proteins were detected by western blot. (B) The viral polymerase proteins and NP were expressed in the presence or absence of the indicated DPR. DPRs were immunopurified from cell lysates and proteins were detected by western blot. * = non-specific band. (C) PB2 DPR competes for polymerase assembly. The viral polymerase proteins and NP were expressed in the presence of increasing amounts of the PB2 DPR. Polymerase assembly was measured by immunoprecipitating PA and probing for PB2. (D) A dual mechanism for the inhibitory activity for DelVGs and the DPRs they encode.

Interfering with trimer assembly disrupts polymerase activity (64–67). Given that PB2 DPRs bind PB1 and impair polymerase function, a potential mechanism is that they competitively inhibit trimer formation. We tested this with an RNP assembly assay where the polymerase proteins and NP are expressed in cells, immunopurified via PA, and blotted for PB2. PA does not form a stable, direct interaction with PB2. Therefore, any co-precipitated PB2 must be part of a trimeric complex and reflect successful polymerase assembly. PB2 was readily co-precipitated with PA under control conditions (Figure 5C). However, expressing increasing amounts of PB2 416/2189 displaced WT PB2, and instead the DPR was co-precipitated (Figure 5C). These data demonstrate that PB2 DPRs are dominant-negative inhibitors of trimeric polymerase assembly, establishing the mechanism by which they reduce in polymerase activity and viral replication.

Discussion

DelVGs are aberrant replication products with the potential to interfere with the replication of WT virus. DelVGs contain large internal deletions while retaining terminal sequences necessary for replication, transcription and packaging by viral machinery. We now reveal that influenza virus DelVGs template synthesis of hundreds of cryptic viral proteins. These DPRs usually contain native N-termini fused to C-termini derived from all three reading frames, creating novel protein products. Functional assays demonstrate that DPRs make key contributions to the inhibitory potential of DelVGs and their interference with replication of influenza virus. Given that DelVGs are produced by most RNA viruses, our results suggest DPRs have the potential to dramatically expand the functional space of proteins encoded by a diverse array of human pathogens.

PB2 DPRs disrupt virus replication by competing with WT PB2 for binding to PB1 (Figure 5). Only the N-terminal 37 amino acids of PB2 are required to form a PB1-binding domain and disrupt polymerase function (64,65). We identified ∼270 distinct DelVGs across our samples that code for this domain. Thus, any PB2 DPR that contains this region and is stably expressed has the potential to function as a dominant-negative inhibitor. The inhibitory potential of PB2 DPRs may be further aided by the fact that DelVGs are often present at much higher levels than their WT counterparts. We identified analogous DPRs from PB1. The N-terminal ∼12 amino acids of PB1 encompass the minimal binding domain for PA (68), and were found in every PB1 DelVG that we identified. This region expressed as a fusion protein, or even delivered as a peptide, blocks binding of full-length PB1 to PA (66,69). PB1 DPRs that retain the native C-terminus may also disrupt trimer assembly, as they would contain the PB2 binding domain (70). These suggest that PB1 DPRs would also inhibit replication by disrupting polymerase assembly. Many of the DPRs from other gene segments retained defined functional domains. It will be important to determine if they impact replication as well.

DPRs join a growing collection of non-canonical protein products made during influenza virus infection. The virus exploits splicing, leaky scanning and frame-shifting to encode multiple protein products (71). Recent work has also revealed additional, perhaps more fortuitous mechanisms to produce proteins. Start-snatching involves translation initiation in the host-derived regions of viral mRNAs, upstream of the normal start codon. The resultant products create N-terminal extensions to native viral proteins or novel polypeptides when initiation is out of frame, and some of these affect virulence in vivo (72). Leaky scanning expresses cryptic viral epitopes from the M and NS segments that drive potent CD8 T cell response during infection (73,74). Translation products have also been detected from a conserved open reading frame of the negative strand of genome segments (75). While these negative strand-encoded products are detected by T cells as part of immunosurveillance, their impact on viral replication is currently an open question. Our large-scale detection of DPRs here complements earlier reports that identified specific proteins encoded by individual DelVGs. In vitro translation of purified DelVG mRNAs identified peptides from PB2 and PA, but no function was assigned (34,35). More recently, a 10 kDa protein from a PB2 DelVG was identified and shown to activate innate immune signaling (36). Our data indicate DPRs are common components of influenza virus infection. It should be noted that our ability to detect DPRs is dependent upon the DPR being sufficiently tolerated by the virus to be maintained in the population. Exceptionally potent DPRs would suppress WT virus to such an extent that they would be lost. Thus, our identification likely under-samples the total sum of DPRs that are produced and the full spectrum of their inhibitory potential. We have defined a discrete function for some of the PB2 DPRs in disrupting polymerase assembly. It is tempting to speculate that they may impact replication not just at the cellular level, but also at the population level by establishing a negative feedback loop that tempers the outgrowth of inhibitory DelVGs. The discovery of DPRs opens an entire new collection of protein chimeras with the potential to alter population fitness, pathogenicity or present novel immunogenic epitopes.

DelVGs are produced by a diverse range of RNA viruses and have been shown to impact pathogenesis during human infections with influenza virus, respiratory syncytial virus, and SARS-CoV-2 (9,25,76,77). This raises the possibility that DPRs may be a generalizable feature of RNA virus replication. By extension, exploiting DelVGs and the specific DPRs they encode may offer a universal therapeutic strategy for these infection. In summary, we have shown that DelVGs interfere with viral replication via a one-two punch – both the RNA itself and the encoded DPR combine to antagonize WT virus.

Supplementary Material

gkae133_Supplemental_Files

Acknowledgements

We thanks members of the Mehle lab for comments on the manuscript and Daniel Mair for technical assistance with sequencing.

Notes

Present address: Fadi G. Alnaji, Agency for Science Technology and Research (A*STAR), Infectious Disease Labs, Singapore.

Contributor Information

Jordan N Ranum, Medical Microbiology and Immunology, University of Wisconsin-Madison, Madison, WI 53706, USA.

Mitchell P Ledwith, Medical Microbiology and Immunology, University of Wisconsin-Madison, Madison, WI 53706, USA.

Fadi G Alnaji, Department of Microbiology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.

Meghan Diefenbacher, Department of Microbiology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.

Richard Orton, MRC-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, UK.

Elizabeth Sloan, MRC-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, UK.

Melissa Güereca, Division of Biological Sciences, University of California, San Diego, La Jolla, CA 92093, USA.

Elizabeth M Feltman, Medical Microbiology and Immunology, University of Wisconsin-Madison, Madison, WI 53706, USA.

Katherine Smollett, MRC-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, UK.

Ana da Silva Filipe, MRC-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, UK.

Michaela Conley, MRC-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, UK.

Alistair B Russell, Division of Biological Sciences, University of California, San Diego, La Jolla, CA 92093, USA.

Christopher B Brooke, Department of Microbiology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA; Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.

Edward Hutchinson, MRC-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, UK.

Andrew Mehle, Medical Microbiology and Immunology, University of Wisconsin-Madison, Madison, WI 53706, USA.

Data availability

Raw data underlying results presented in the figures can be found in Supplemental Table S7 and uncropped blots are present in Supplementary Figure S5. Accession numbers for all deposited data are in Supplemental Table S8. Ribo-Seq data are available in BioProject PRJNA633047. Sequencing data from viral stocks are accessible as BioProject PRJNA957839. Direct-RNA sequence data are in BioProject PRJNA1051370. Mass spectrometry spectra are accessible as MassIVE ID MSV000078740.

Supplementary data

Supplementary Data are available at NAR Online.

Funding

Burroughs Wellcome Fund Investigator in the Pathogenesis of Infectious Disease (to A.M.); H.I. Romnes Faculty Fellow funded by the Wisconsin Alumni Research Foundation (to A.M.); Vilas Faculty Mid-Career Investigator Award (to A.M.); National Science Foundation GRFP [DGE-1747503 to M.P.L.]; National Institute of General Medicine [R35GM147031to A.B.R.]; PATHS program at University of California San Diego (to M.G.); Defense Advanced Research Projects Agency [DARPA-16-35-INTERCEPT-FP-018 to C.B.B.]; National Institute of Allergy and Infectious Diseases [R01AI139246 to C.B.B.]; core funding to the MRC-University of Glasgow Centre for Virus Research [MC_UU_12014/9, MC_UU_12014/12, d MC_UU_00034/5]. Funding for open access charge: HI Romnes Faculty Fellow award.

Conflict of interest statement. A.M., J.R.M. and M.P.L. are inventors on a patent related to this material.

References

  • 1. Fitzsimmons W.J., Woods R.J., McCrone J.T., Woodman A., Arnold J.J., Yennawar M., Evans R., Cameron C.E., Lauring A.S.. A speed–fidelity trade-off determines the mutation rate and virulence of an RNA virus. PLoS Biol. 2018; 16:e2006459. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. Pauly M.D., Procario M.C., Lauring A.S.. A novel twelve class fluctuation test reveals higher than expected mutation rates for influenza A viruses. eLife. 2017; 6:e26437. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Drake J.W. Rates of spontaneous mutation among RNA viruses. Proc. Natl. Acad. Sci. U.S.A. 1993; 90:4171–4175. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Nobusawa E., Sato K.. Comparison of the mutation rates of human influenza A and B Viruses. J. Virol. 2006; 80:3675–3678. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Nelson M.I., Holmes E.C.. The evolution of epidemic influenza. Nat. Rev. Genet. 2007; 8:196–205. [DOI] [PubMed] [Google Scholar]
  • 6. Alnaji F.G., Brookeid C.B., Alnaji F.G., Brooke C.B.. Influenza virus DI particles: defective interfering or delightfully interesting?. PLoS Pathog. 2020; 16:e1008436. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Wu M., Zhou E., Sheng R., Fu X., Li J., Jiang C., Su W.. Defective interfering particles of influenza virus and their characteristics, impacts, and use in vaccines and antiviral strategies: a systematic review. Viruses. 2022; 14:2773. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Vignuzzi M., López C.B.. Defective viral genomes are key drivers of the virus–host interaction. Nat. Microbiol. 2019; 4:1075–1087. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Zhou T., Gilliam N.J., Li S., Spandau S., Osborn R.M., Connor S., Anderson C.S., Mariani T.J., Thakar J., Dewhurst S.et al.. Generation and functional analysis of defective viral genomes during SARS-CoV-2 infection. mBio. 2023; 14:e00250-23. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Davis A.R., Hiti A.L., Nayak D.P.. Influenza defective interfering viral RNA is formed by internal deletion of genomic RNA. Proc. Natl. Acad. Sci. U.S.A. 1980; 77:215–219. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Odagiri T., Tashiro M.. Segment-specific noncoding sequences of the influenza virus genome RNA are involved in the specific competition between defective interfering RNA and its progenitor RNA segment at the virion assembly step. J. Virol. 1997; 71:2138–2145. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Chanda P.K., Chambers T.M., Nayak D.P.. In vitro transcription of defective interfering particles of influenza virus produces polyadenylic acid-containing complementary RNAs. J. Virol. 1983; 45:55–61. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Nayak D.P., Sivasubramanian N., Davis A.R., Cortini R., Sung J.. Complete sequence analyses show that two defective interfering influenza viral RNAs contain a single internal deletion of a polymerase gene. Proc. Natl. Acad. Sci. U.S.A. 1982; 79:2216–2220. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Mendes M., Russell A.B.. Library-based analysis reveals segment and length dependent characteristics of defective influenza genomes. PLoS Pathog. 2021; 17:e1010125. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Alnaji F.G., Holmes J.R., Rendon G., Vera J.C., Fields C.J., Martin B.E., Brooke C.B.. Sequencing framework for the sensitive detection and precise mapping of defective interfering particle-associated deletions across influenza A and B viruses. J. Virol. 2019; 93:e00354-19. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Sheng Z., Liu R., Yu J., Ran Z., Newkirk S.J., An W., Li F., Wang D.. Identification and characterization of viral defective RNA genomes in influenza B virus. J. Gen. Virol. 2018; 99:475–488. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Alnaji F.G., Reiser W.K., Rivera-Cardona J., Te Velthuis A.J.W., Brooke C.B.. Influenza a virus defective viral genomes are inefficiently packaged into virions relative to wild-type genomic RNAs. mBio. 2021; 12:e0295921. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Nakajima K., Ueda M., Sugiura A.. Origin of small RNA in von Magnus particles of influenza virus. J. Virol. 1979; 29:1142–1148. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Saira K., Lin X., DePasse J.V., Halpin R., Twaddle A., Stockwell T., Angus B., Cozzi-Lepri A., Delfino M., Dugan V.et al.. Sequence analysis of in vivo defective interfering-like RNA of influenza a H1N1 pandemic virus. J. Virol. 2013; 87:8064–8074. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Martin M.A., Kaul D., Tan G.S., Woods C.W., Koelle K.. The dynamics of influenza a H3N2 defective viral genomes from a human challenge study. 2019; bioRxiv doi:22 October 2019, preprint: not peer reviewed 10.1101/814673. [DOI]
  • 21. Martin M.A., Berg N., Koelle K.. Influenza A genomic diversity during human infections underscores the strength of genetic drift and the existence of tight transmission bottlenecks. 2023; bioRxiv doi:21 June 2023, preprint: not peer reviewed 10.1101/2023.06.18.545481. [DOI] [PMC free article] [PubMed]
  • 22. Lui W.-Y., Yuen C.-K., Li C., Wong W.M., Lui P.-Y., Lin C.-H., Chan K.-H., Zhao H., Chen H., To K.K.W.et al.. SMRT sequencing revealed the diversity and characteristics of defective interfering RNAs in influenza A (H7N9) virus infection. Emerg. Microbes Infect. 2019; 8:662–674. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Huang A.S., Baltimore D.. Defective viral particles and viral disease processes. Nature. 1970; 226:325–327. [DOI] [PubMed] [Google Scholar]
  • 24. Tapia K., Kim W., Sun Y., Mercado-López X., Dunay E., Wise M., Adu M., López C.B.. Defective viral genomes arising in vivo provide critical danger signals for the triggering of lung antiviral immunity. PLoS Pathog. 2013; 9:e1003703. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. Vasilijevic J., Zamarreño N., Oliveros J.C., Rodriguez-Frandsen A., Gómez G., Rodriguez G., Pérez-Ruiz M., Rey S., Barba I., Pozo F.et al.. Reduced accumulation of defective viral genomes contributes to severe outcome in influenza virus infected patients. PLoS Pathog. 2017; 13:e1006650. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. Rabinowitz S.G., Huprikar J.. The influence of defective-interfering particles of the PR-8 strain of influenza A virus on the pathogenesis of pulmonary infection in mice. J. Infect. Dis. 1979; 140:305–315. [DOI] [PubMed] [Google Scholar]
  • 27. Morgan D.J., Dimmock N.J.. Defective interfering influenza virus inhibits immunopathological effects of infectious virus in the mouse. J. Virol. 1992; 66:1188–1192. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Dimmock N.J., Easton A.J.. Defective interfering influenza virus RNAs: time to reevaluate their clinical potential as broad-spectrum antivirals?. J. Virol. 2014; 88:5217–5227. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Chaturvedi S., Vasen G., Pablo M., Chen X., Beutler N., Kumar A., Tanner E., Illouz S., Rahgoshay D., Burnett J.et al.. Identification of a therapeutic interfering particle—a single-dose SARS-CoV-2 antiviral intervention with a high barrier to resistance. Cell. 2021; 184:6022–6036. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30. Xiao Y., Lidsky P.V., Shirogane Y., Aviner R., Wu C.-T., Li W., Zheng W., Talbot D., Catching A., Doitsh G.et al.. A defective viral genome strategy elicits broad protective immunity against respiratory viruses. Cell. 2021; 184:6037–6051. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Duhaut S.D., Mccauley J.W.. Defective RNAs inhibit the assembly of influenza virus genome segments in a segment-specific manner. Virology. 1996; 216:326–337. [DOI] [PubMed] [Google Scholar]
  • 32. Baum A., Sachidanandam R., Garcia-Sastre A.. Preference of RIG-I for short viral RNA molecules in infected cells revealed by next-generation sequencing. Proc. Natl. Acad. Sci. U.S.A. 2010; 107:16303–16308. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33. Liu G., Lu Y., Liu Q., Zhou Y.. Inhibition of ongoing influenza a virus replication reveals different mechanisms of RIG-I activation. J. Virol. 2019; 93:e02066-18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Akkina R.K., Chambers T.M., Nayak D.P.. Expression of defective-interfering influenza virus-specific transcripts and polypeptides in infected cells. J. Virol. 1984; 51:395–403. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35. Penn C.R., Mahy B.W.J.. Novel polypeptides encoded by influenza virus subgenomic (DI type) virion RNAs. Virus Res. 1985; 3:311–321. [DOI] [PubMed] [Google Scholar]
  • 36. Boergeling Y., Rozhdestvensky T.S., Schmolke M., Resa-Infante P., Robeck T., Randau G., Wolff T., Gabriel G., Brosius J., Ludwig S.. Evidence for a novel mechanism of influenza virus-induced type I interferon expression by a defective RNA-encoded protein. PLoS Pathog. 2015; 11:e1004924. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37. Le Nouën C., McCarty T., Yang L., Brown M., Wimmer E., Collins P.L., Buchholz U.J.. Rescue of codon-pair deoptimized respiratory syncytial virus by the emergence of genomes with very large internal deletions that complemented replication. Proc. Natl. Acad. Sci. U.S.A. 2021; 118:e2020969118. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38. Makino S., Shieh C.K., Soe L.H., Baker S.C., Lai M.M.. Primary structure and translation of a defective interfering RNA of murine coronavirus. Virology. 1988; 166:550–560. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39. Rezelj V.V., Carrau L., Merwaiss F., Levi L.I., Erazo D., Tran Q.D., Henrion-Lacritick A., Gausson V., Suzuki Y., Shengjuler D.et al.. Defective viral genomes as therapeutic interfering particles against flavivirus infection in mammalian and mosquito hosts. Nat. Commun. 2021; 12:2290. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40. Lee J.M., Huddleston J., Doud M.B., Hooper K.A., Wu N.C., Bedford T., Bloom J.D.. Deep mutational scanning of hemagglutinin helps predict evolutionary fates of human H3N2 influenza variants. Proc. Nat. Acad. Sci. U.S.A. 2018; 115:E8276–E8285. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41. Mehle A., Doudna J.A.. An inhibitory activity in human cells restricts the function of an avian-like influenza virus polymerase. Cell Host Microbe. 2008; 4:111–122. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42. Dos Santos Afonso E., Escriou N., Leclercq I., van der Werf S., Naffakh N.. The generation of recombinant influenza A viruses expressing a PB2 fusion protein requires the conservation of a packaging signal overlapping the coding and noncoding regions at the 5’ end of the PB2 segment. Virology. 2005; 341:34–46. [DOI] [PubMed] [Google Scholar]
  • 43. Mehle A., Doudna J.A.. Adaptive strategies of the influenza virus polymerase for replication in humans. Proc. Nat. Acad. Sci. U.S.A. 2009; 106:21312–21316. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44. Tran V., Moser L.A., Poole D.S., Mehle A.. Highly sensitive real-time in vivo imaging of an influenza reporter virus reveals dynamics of replication and spread. J. Virol. 2013; 87:13321–13329. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45. Tran V., Poole D.S., Jeffery J.J., Sheahan T.P., Creech D., Yevtodiyenko A., Peat A.J., Francis K.P., You S., Mehle A.. Multi-modal imaging with a toolbox of influenza a reporter viruses. Viruses. 2015; 7:5319–5327. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46. Amato K.A., Haddock L.A., Braun K.M., Meliopoulos V., Livingston B., Honce R., Schaack G.A., Boehm E., Higgins C.A., Barry G.L.et al.. Influenza A virus undergoes compartmentalized replication in vivo dominated by stochastic bottlenecks. Nat. Commun. 2022; 13:3416. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47. Hoffmann E., Stech J., Guan Y., Webster R.G., Perez D.R.. Universal primer set for the full-length amplification of all influenza A viruses. Arch. Virol. 2001; 146:2275–2289. [DOI] [PubMed] [Google Scholar]
  • 48. Routh A., Johnson J.E.. Discovery of functional genomic motifs in viruses with ViReMa-a Virus Recombination Mapper-for analysis of next-generation sequencing data. Nucleic Acids Res. 2014; 42:e11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49. Tran V., Ledwith M.P., Thamamongood T., Higgins C.A., Tripathi S., Chang M.W., Benner C., García-Sastre A., Schwemmle M., Boon A.C.M.et al.. Influenza virus repurposes the antiviral protein IFIT2 to promote translation of viral mRNAs. Nat. Microbiol. 2020; 5:1490–1503. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50. Hoffmann E., Neumann G., Kawaoka Y., Hobom G., Webster R.G.. A DNA transfection system for generation of influenza A virus from eight plasmids. Proc. Natl. Acad. Sci. U.S.A. 2000; 97:6108–6113. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51. Hutchinson E.C., Stegmann M.. Purification and proteomics of influenza virions. Methods Mol. Biol. 2018; 1836:89–120. [DOI] [PubMed] [Google Scholar]
  • 52. Keller M.W., Rambo-Martin B.L., Wilson M.M., Ridenour C.A., Shepard S.S., Stark T.J., Neuhaus E.B., Dugan V.G., Wentworth D.E., Barnes J.R.. Direct RNA sequencing of the coding complete influenza a virus genome. Sci. Rep. 2018; 8:14408. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53. Li H. Minimap2: pairwise alignment for nucleotide sequences. Bioinformatics. 2018; 34:3094–3100. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54. R Core Team 2021; Vienna Austria: R: A Language and Environment for Statistical Computing. [Google Scholar]
  • 55. Wickham H. ggplot2: Elegant Graphics for Data Analysis. 2016; NY: Springer-Verlag. [Google Scholar]
  • 56. Rice P., Longden I., Bleasby A.. EMBOSS: the european molecular biology open software suite. Trends Genet. 2000; 16:276–277. [DOI] [PubMed] [Google Scholar]
  • 57. Hutchinson E.C., Charles P.D., Hester S.S., Thomas B., Trudgian D., Martínez-Alonso M., Fodor E.. Conserved and host-specific features of influenza virion architecture. Nat. Commun. 2014; 5:4816. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58. Cox J., Mann M.. MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification. Nat. Biotechnol. 2008; 26:1367–1372. [DOI] [PubMed] [Google Scholar]
  • 59. Larson G.P., Tran V., Yú S., Caì Y., Higgins C.A., Smith D.M., Baker S.F., Radoshitzky S.R., Kuhn J.H., Mehle A.. EPS8 facilitates uncoating of influenza a virus. Cell Rep. 2019; 29:2175–2183. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60. Karlsson E.A., Meliopoulos V.A., Tran V., Savage C., Livingston B., Schultz-Cherry S., Mehle A.. Measuring influenza virus infection using bioluminescent reporter viruses for in vivo imaging and in vitro replication assays. Methods Mol. Biol. 2018; 1836:431–459. [DOI] [PubMed] [Google Scholar]
  • 61. Marsh G.A., Hatami R., Palese P.. Specific residues of the influenza A virus hemagglutinin viral RNA are important for efficient packaging into budding virions. J. Virol. 2007; 81:9727–9736. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62. Pinto R.M., Lycett S., Gaunt E., Digard P.. Accessory gene products of influenza a virus. Cold Spring Harb. Perspect. Med. 2021; 11:a038380. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63. Neumann G., Fujii K., Kino Y., Kawaoka Y.. An improved reverse genetics system for influenza A virus generation and its implications for vaccine production. Proc. Nat. Acad. Sci. U.S.A. 2005; 102:16825–16829. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64. Sugiyama K., Obayashi E., Kawaguchi A., Suzuki Y., Tame J.R.H., Nagata K., Park S.Y.. Structural insight into the essential PB1-PB2 subunit contact of the influenza virus RNA polymerase. EMBO J. 2009; 28:1803–1811. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65. Reuther P., Manz B., Brunotte L., Schwemmle M., Wunderlich K.. Targeting of the influenza A virus polymerase PB1-PB2 interface indicates strain-specific assembly differences. J. Virol. 2011; 85:13298–13309. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66. Wunderlich K., Mayer D., Ranadheera C., Holler A.S., Manz B., Martin A., Chase G., Tegge W., Frank R., Kessler U.et al.. Identification of a PA-binding peptide with inhibitory activity against influenza A and B virus replication. PLoS One. 2009; 4:e7517. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67. Wunderlich K., Juozapaitis M., Ranadheera C., Kessler U., Martin A., Eisel J., Beutling U., Frank R., Schwemmle M.. Identification of high-affinity PB1-derived peptides with enhanced affinity to the PA protein of influenza A virus polymerase. Antimicrob. Agents Chemother. 2011; 55:696–702. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68. Perez D.R., Donis R.O.. Functional analysis of PA binding by influenza a virus PB1: effects on polymerase activity and viral infectivity. J. Virol. 2001; 75:8127–8136. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69. Ghanem A., Mayer D., Chase G., Tegge W., Frank R., Kochs G., Garcia-Sastre A., Schwemmle M.. Peptide-mediated interference with influenza A virus polymerase. J. Virol. 2007; 81:7801–7804. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70. Poole E.L., Medcalf L., Elton D., Digard P.. Evidence that the C-terminal PB2-binding region of the influenza A virus PB1 protein is a discrete alpha-helical domain. FEBS Lett. 2007; 581:5300–5306. [DOI] [PubMed] [Google Scholar]
  • 71. Krammer F., Smith G.J.D., Fouchier R.A.M., Peiris M., Kedzierska K., Doherty P.C., Palese P., Shaw M.L., Treanor J., Webster R.G.et al.. Influenza. Nat. Rev. Dis. Primers. 2018; 4:3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72. Ho J.S.Y., Angel M., Ma Y., Sloan E., Wang G., Martinez-Romero C., Alenquer M., Roudko V., Chung L., Zheng S.et al.. Hybrid gene origination creates human-virus chimeric proteins during infection. Cell. 2020; 181:1502–1517. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73. Hogan M.J., Maheshwari N., Begg B.E., Nicastri A., Hedgepeth E.J., Muramatsu H., Pardi N., Miller M.A., Reilly S.P., Brossay L.et al.. Cryptic MHC-E epitope from influenza elicits a potent cytolytic T cell response. Nat. Immunol. 2023; 24:1933–1946. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74. Zanker D.J., Oveissi S., Tscharke D.C., Duan M., Wan S., Zhang X., Xiao K., Mifsud N.A., Gibbs J., Izzard L.et al.. Influenza a virus infection induces viral and cellular defective ribosomal products encoded by alternative reading frames. J. Immunol. 2019; 202:3370–3380. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75. Hickman H.D., Mays J.W., Gibbs J., Kosik I., Magádan J.G., Takeda K., Das S., Reynoso G.V., Ngudiankama B.F., Wei J.et al.. Influenza a virus negative strand RNA is translated for CD8 + T cell immunosurveillance. J. Immunol. 2018; 201:1222–1228. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76. Sun Y., Jain D., Koziol-White C.J., Genoyer E., Gilbert M., Tapia K., R.A.P. Jr, Hodinka R.L., López C.B.. Immunostimulatory defective viral genomes from respiratory syncytial virus promote a strong innate antiviral response during infection in mice and humans. PLoS Pathog. 2015; 11:e1005122. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77. Felt S.A., Sun Y., Jozwik A., Paras A., Habibi M.S., Nickle D., Anderson L., Achouri E., Feemster K.A., Cárdenas A.M.et al.. Detection of respiratory syncytial virus defective genomes in nasal secretions is associated with distinct clinical outcomes. Nat. Microbiol. 2021; 6:672–681. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

gkae133_Supplemental_Files

Data Availability Statement

Raw data underlying results presented in the figures can be found in Supplemental Table S7 and uncropped blots are present in Supplementary Figure S5. Accession numbers for all deposited data are in Supplemental Table S8. Ribo-Seq data are available in BioProject PRJNA633047. Sequencing data from viral stocks are accessible as BioProject PRJNA957839. Direct-RNA sequence data are in BioProject PRJNA1051370. Mass spectrometry spectra are accessible as MassIVE ID MSV000078740.


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