Biology subjects

Simmonds, P.

Publications and source records attributed to Simmonds, P..

At least 19 recordsLinked to original sources

bioRxiv2026

Systematic genome analysis enables long-overdue taxonomic reorganization of genus Orthoflavivirus; potential assignment of over 50 new species

Members of the Orthoflavivirus genus in the family Flaviviridae are primarily vector-transmitted RNA viruses infecting humans, other mammals and birds, including major pathogens such as tick borne encephalitis, West Nile, Zika and dengue viruses. Vector-borne flaviviruses are assigned to the Euflavivirus subgenus of orthoflaviviruses, with more divergent largely unclassified insect-specific flaviviruses, including cell fusing agent virus assigned to the second subgenus, Fusivirus. The currently classified 57 orthoflavivirus species have traditionally been assigned descriptively on the basis of their genome and antigenic relatedness, ecology and host and vector tropisms, although many more orthoflavi-like viruses remain unassigned. To investigate whether species might be demarcated using a fixed genetic divergence threshold, we examined distributions of pairwise distances in NS5 and E genes (which encode the RNA-dependent RNA polymerase and envelope protein, respectively) of classified orthoflaviviruses. Demarcation thresholds of 0.1 in the two regions would be most parsimonious with current euflavivirus classification. Exceptions include species in the tick-borne encephalitis virus complex with divergences below the threshold, and dengue virus types currently assigned to a single species that are substantially above. Application of the proposed thresholds would provide the means to establish 25 new euflavivirus and 33 new fusivirus species and reconcile several anomalies and inconsistencies in the current species taxonomy. The use of a species demarcation threshold brings consistency with the classification of viruses in other families. A robust and evolutionarily consistent framework furthermore enables taxonomic assignments of the numerous currently unassigned orthoflaviviruses that lack the phenotypic descriptions required for the current species definition.

microbiology↗

bioRxiv2026

First community challenge for automated virus taxonomy

The rapid rate of virus discovery renders manual curation by taxonomy experts increasingly impractical, creating a need for reliable software that can reproducibly assign viral contigs to taxa at all fifteen ranks of the virus taxonomy. We led an open community challenge for the computational taxonomic classification of viruses and assembled a dataset of virus sequences combining expert-curated and metagenomic sequences. Seventeen teams contributed a total of thirty-four automated, fully reproducible classification pipelines. Most tools correctly assigned viruses belonging to established species, genera, or families, but viruses that are unclassified at those lower ranks remain challenging. This study provides datasets, open-source software, novel approaches, and recommendations to benchmark computational taxonomic classification of viruses, and support organizing the many viruses discovered in big omics data.

microbiology↗

bioRxiv2026

Comprehensive hallmark gene sequence, genomic and structural analysis of Picornavirales viruses clarifies new and existing taxa

The order Picornavirales is a group of highly diverse RNA viruses that includes many pathogens of significance to human and veterinary health, agriculture and the wider environment. However, the wide range of viruses assigned to the order, together with their genomic variability, and the recent description of numerous "picorna-like" viruses derived from metagenomic analyses of environmental samples, challenges the existing taxonomic classification of members of the order and the criteria for their classification. Here, we combine the existing gold standard, hallmark RNA-dependent RNA-polymerase (RdRp) gene sequence-based analysis with helicase sequence-based phylogeny, RdRp structural prediction through the use of ColabFold and Fold Tree, and analysis of coding complete genomes using GRAViTy-V2, to genetically classify 525 Picornavirales genomes and recently described "picorna-like" viruses. All analyses were conducted with a bespoke, fully automated pipeline for retrieval of genomes, domain classification and extraction, phylogenetic analysis, and output conditioning, which is available as open-source software. Our results reveal broad support for existing families as well as for six novel families, and 32 new genera. In instances where inconsistencies were found between classification methods, we demonstrate how examination of the pipelines output may be used to reconcile differences with respect to the genomic features quantified by the analysis. Automated multimodal taxonomic analysis may save significant resources over manual methods and better define demarcation criteria for families and genera.

microbiology↗

bioRxiv2025

RNA binding regulation is a new dimension in the type I IFN response

The type I interferon (IFN-I) response shapes the intracellular environment to supress virus infection. Historically, this remodelling has been linked to the transcriptional induction of interferon stimulated genes (ISGs). However, IFN-I-driven post-translational regulation of proteins already present in the cell remains relatively unexplored. Here, we profiled the activity of cellular RNA-binding proteins (RBPs), which are key players in antiviral immunity. Using RNA interactome capture (RIC), we identified hundreds of RBPs whose association with RNA is regulated by IFN-I (IR-RBPs). Among these IR-RBPs are both known antiviral proteins and novel candidates identified in this study through a knockdown screen. By modifying RIC to study IR-RBPs phosphorylation states, we identified several putative instances of IFN-I-driven phospho-regulation of RNA binding. We experimentally confirmed this phospho-driven regulation for MATR3. Altogether, our results reveal a new dimension of the cells antiviral programme, in which the cellular RNA-bound proteome is remodelled by IFN-I.

biochemistry↗

bioRxiv2025

Integrated analysis of protein sequence and structureredefines viral diversity and the taxonomy of the Flaviviridae

The Flaviviridae are a family of non-segmented positive-sense enveloped RNA viruses containing significant pathogens including hepatitis C virus and yellow fever virus. Recent large-scale metagenomic surveys have identified many diverse RNA viruses related to classical orthoflaviviruses and pestiviruses but quite different genome lengths and configurations, and with a hugely expanded host range that spans multiple animal phyla, including molluscs, cnidarians and stramenopiles,, and plants. Grouping of RNA-directed RNA polymerase (RdRP) hallmark gene sequences of flavivirus and flavi-like viruses into four divergent clades and multiple lineages within them was congruent with helicase gene phylogeny, PPHMM profile comparisons, and comparison of RdRP protein structure predicted by AlphFold2. These results support their classification into the established order, Amarillovirales, in three families (Flaviviridae, Pestiviridae, and Hepaciviridae), and 14 genera. This taxonomic framework informed by RdRP hallmark gene evolutionary relationships provides a stable reference from which major genome re-organisational events can be understood.

microbiology↗

bioRxiv2024

GRAViTy-V2: a grounded viral taxonomy application

Taxonomic classification of viruses is essential for understanding their evolution and therefore their distribution, host interactions and pathogenic mechanisms. Classification methodologies usually rely on comparison of aligned sequence motifs in conserved genes, by genome organisation and gene complements, and at lower taxonomic ranks such as genus and species, through genome sequence identities. Building on our previous classification framework based on a novel whole-genome analysis method, we here describe Genome Relationships Applied to Viral Taxonomy Version 2 (GRAViTy-V2), which encompasses a greatly expanded range of features and numerous optimisations, packaged as an application that may be used as an alignment-free general-purpose virus classification tool. Using 28 datasets derived from the International Society on Taxonomy of Viruses 2022 taxonomy proposals, GRAViTy-V2 output was compared against human expert-curated classifications used for assignments in the 2023 round of ICTV taxonomy changes. GRAViTy-V2 produced taxonomies equivalent to manually-curated versions down to the family level and in almost all cases, to genus and species levels. However, discrepancies with our results primarily arose through various human and automated sequence annotation errors and erroneous annotations of coding sequences used in their original classification. Analysis times ranged from 1-506 min (median 3.59) on datasets with 17-1004 genomes and mean genome length of 3,000-1,000,000 bases, on a standard consumer-grade laptop. We discuss how the output from GRAViTY-V2 outputs allows for a full analysis of why taxonomic classifications were proposed, the value of the program for quality control of genetic comparisons, and how to optimise the speed of classification through proper use of GRAViTy-V2s workflow management system.

bioinformatics↗

bioRxiv2024

Castanet: a pipeline for rapid analysis of targeted multi-pathogen genomic data

MotivationTarget enrichment strategies generate genomic data from multiple pathogens in a single process, greatly improving sensitivity over metagenomic sequencing and enabling cost-effective, high throughput surveillance and clinical applications. However, uptake by research and clinical laboratories is constrained by an absence of computational tools that are specifically designed for the analysis of multi-pathogen enrichment sequence data. Here we present the Castanet pipeline: an analysis pipeline for end-to-end processing and consensus sequence generation for use with multi-pathogen enrichment sequencing data. Castanet is designed to work with short-read data produced by existing targeted enrichment strategies, but can be readily deployed on any BAM file generated by another methodology. It is packaged with usability features, including graphical interface and installer script. ResultsIn addition to genome reconstruction, Castanet reports method-specific metrics that enable quantification of capture efficiency, estimation of pathogen load, differentiation of low-level positives from contamination, and assessment of sequencing quality. Castanet can be used as a traditional end-to-end pipeline for consensus generation, but its strength lies in the ability to process a flexible, pre-defined set of pathogens of interest directly from multi-pathogen enrichment experiments. In our tests, Castanet consensus sequences were accurate reconstructions of reference sequences, including in instances where multiple strains of the same pathogen were present. Castanet performs effectively on standard laptop computers and can process the entire output of a 96-sample enrichment sequencing run (50M reads) using a single batch process command, in < 2 h. Availability and ImplementationSource code freely available under GPL-3 license at https://github.com/MultipathogenGenomics/castanet, implemented in Python 3.10 and supported in Ubuntu Linux 22.04 and other Bash-like environments. The data for this study have been deposited in the European Nucleotide Archive (ENA) at EMBL-EBI under accession number PRJEB77004.

bioinformatics↗

bioRxiv2024

C->U transition biases in SARS-CoV-2 - still rampant four years from the start of the COVID-19 pandemic

The evolution of SARS-CoV2 in the pandemic and post-pandemic periods has been characterised by rapid adaptive changes that confer immune escape and enhanced human-to-human transmissibility. Sequence change is additionally marked by an excess number of C->U transitions suggested as being due to host-mediated genome editing. To investigate how therse influence the evolutionary trajectory of SARS-CoV-2, 2000 high quality, coding complete genome sequences of SARS-CoV-2 variants collected pre-September, 2020, and from each subsequently appearing alpha, delta, BA.1, BA.2, BA.5, XBB, EG, HK and JN.1 lineages were downloaded from NCBI Virus in April, 2024. C->U transitions were the most common substitution during diversification of SARS-CoV-2 lineages over the 4-year observation period. A net loss of C bases and accumulation of Us occurred at a constant rate of approximately 0.2%-0.25% / decade. C->U transitions occurred in over a quarter of all sites with a C (26.5%; range 20.0%-37.2%), around 5 times more than observed for the other transitions (5.3%-6.8%). In contrast to an approximately random distribution of other transitions across the genome, most C->U substitutions occurred at statistically preferred sites in each lineage. However, only the most C->U polymorphic sites showed evidence for a preferred 5U context previously associated with APOBEC 3A editing. There was a similarly weak preference for unpaired bases suggesting much less stringent targeting of RNA than mediated by A3 deaminases in DNA editing. Future functional studies are required to determine editing preferences, impacts on replication fitness in vivo of SARS-CoV-2 and other RNA viruses and impact on host tropism.

microbiology↗

bioRxiv2023

Understanding off-target growth defects introduced to influenza A virus by synonymous recoding

CpG dinucleotides are under-represented in the genomes of most RNA viruses. Synonymously increasing CpG content of a range of RNA viruses reliably causes replication defects due to the recognition of CpG motifs in RNA by cellular Zinc-finger Antiviral Protein (ZAP). Prior to the discovery of ZAP as a CpG sensor, we described an engineered influenza A virus (IAV) enriched for CpGs in segment 5 that displays the expected replication defects. However, we report here that this CpG-high ( CpGH) mutant is not attenuated by ZAP. To understand this, we sought to uncover the alternative attenuation mechanism(s). IAV segment 5 encodes NP, a component of the viral RNA replication complex. Unexpectedly, while CpG enrichment resulted in depleted segment 5 transcript and NP protein abundance, this did not impair viral polymerase activity. A pair of nucleotide changes, introduced as compensatory changes to maintain base frequencies, were instead found to be responsible for the replication defect. These mutations resulted in the encoding of a stretch of eight consecutive adenosines (8A), a phenomenon not seen in natural IAV isolates. Sequencing experiments revealed evidence of viral polymerase slippage at this site, resulting in the production of aberrant peptides and type I interferon induction. When the nucleotides in either of these two positions were restored to wildtype sequence, no viral attenuation was seen, despite the 86 extra CpGs encoded by this virus. Conversely, when these two adenosines were introduced into wildtype virus (thereby introducing the 8A tract), viral attenuation, polymerase slippage, aberrant peptide production and type I interferon induction were apparent. That a single nucleotide change can offset the growth defects in a virus designed to have a formidable barrier to wild-type reversion highlights the importance of understanding the processes underlying viral attenuation. The lessons from this study will inform improved recoding designs in the future.

microbiology↗

bioRxiv2023

Reconstructing the evolutionary history of human, simian, and prosimian immunodeficiency viruses

The evolutionary history of simian and prosimian immunodeficiency viruses (SIVs and pSIVs) remains difficult to resolve due to time-dependent rate variation in viral evolution. Standard molecular clock methods relying on contemporary sequences often underestimate viral ages, conflicting with paleovirological and biogeographical evidence. Here, we apply the Prisoner of War model, which accounts for time-dependent rate effects, to reconstruct the evolutionary history of primate lentiviruses. Using non-recombinant genomic regions from 436 HIV, SIV, and pSIV sequences, we estimate that the most recent common ancestor of extant SIVs dates to [~]1 million years ago. The lineages giving rise to HIV-1 and HIV-2 (SIVcpz and SIVsmm) have circulated in their respective hosts for tens to hundreds of thousands of years, suggesting prolonged pre-pandemic human exposure. The divergence of SIV and pSIV is dated to 17-51 million years ago, consistent with lentiviral transfer during the last mammalian colonisation of Madagascar. Our analysis integrates lentiviral data across recent (HIV), intermediate (Bioko Island SIVs), and ancient (pSIV) timescales, enabling inferences not possible from any single timescale alone, and recovers both shallow and deep divergence events without relying on fixed internal node calibrations. This unified framework provides new insights into virus-host coevolution and zoonotic risk.

evolutionary biology↗

bioRxiv2022

A vast world of viroid-like circular RNAs revealed by mining metatranscriptomes

Viroids and viroid-like agents are unique, minimal RNA replicators that typically encode no proteins and hijack cellular enzymes for their genome replication. As the extent and diversity of viroid-like agents are poorly understood, we developed a computational pipeline to identify viroid-like covalently closed circular (ccc) RNAs and applied it to 5,131 global metatranscriptomes and 1,344 plant transcriptomes. The search resulted in 11,420 viroid-like, ribozyme-containing cccRNAs spanning 4,409 species-level clusters, which is a five-fold increase compared to the previously known set of viroids and viroid-like RNA agents. Within this diverse collection, we identified numerous putative novel viroids, satellite RNAs, retrozymes, and ribozylike viruses. We also found previously unknown ribozyme combinations and unusual ribozymes within the cccRNAs. Self-cleaving ribozymes were identified in both RNA strands of ambiviruses and some mito-like viruses as well as in capsid-encoding satellite virus-like cccRNAs. The broad presence of viroid-like cccRNAs in diverse transcriptomes and ecosystems implies that their host range is not limited to plants, and matches between viroid-like cccRNAs and CRISPR spacers suggest that some of them might replicate in prokaryotes.

microbiology↗

bioRxiv2022

CpG enrichment as a vaccine strategy for influenza A virus

Synonymous recoding of RNA virus genomes is a promising approach for generating attenuated viruses to use as vaccines. Problematically, recoding typically hinders virus growth, but this may be rectified using CpG dinucleotide enrichment. CpGs are recognised by cellular zinc-finger antiviral protein (ZAP), and so in principle, removing ZAP sensing from a virus propagation system will reverse attenuation of a CpG-enriched virus, enabling high titre yield of a vaccine virus. We tested this using a vaccine strain of influenza A virus (IAV) engineered for increased CpG content in genome segment 1. Virus attenuation was mediated by the short isoform of ZAP, correlated with the number of CpGs added, and was enacted via turnover of viral transcripts. The CpG-enriched virus was strongly attenuated in mice, yet conveyed protection from a potentially lethal challenge dose of wildtype virus. Importantly for vaccine development, CpG-enriched viruses were genetically stable during serial passage. Unexpectedly, in both MDCK cells and embryonated hens eggs that are used to propagate live attenuated influenza vaccines, the ZAP-sensitive virus was fully replication competent. Thus, ZAP- sensitive CpG enriched viruses that are defective in human systems can yield high titre in vaccine propagation systems, providing a realistic, economically viable platform to augment existing live attenuated vaccines. AUTHOR SUMMARYCpG dinucleotides are under-represented in vertebrate genomes, wherein cytosines in the CpG conformation are methylated to regulate transcription. Methylated cytosines are prone to deamination, resulting in TpG dinucleotides replacing CpGs. The resultant CpG suppression has provided a route by which vertebrate cells can recognise RNA from invading pathogens, using cellular Zinc-finger Antiviral Protein (ZAP) as a CpG sensor. Vertebrate-infecting RNA viruses also genomically suppress CpGs, and it is believed that this is an evolved trait to evade detection by ZAP. Here, we engineered an influenza A virus (IAV) with elevated CpG content and characterised how this impacts viral replication. CpG addition resulted in viral attenuation, mediated by ZAP activity. CpG suppression is conserved in dog and chicken genomes (relevant for live attenuated IAV vaccine propagation), and it is logical to predict that ZAP-mediated CpG sensing would also be conserved in these species. However, when we propagated ZAP-sensitive IAV in cognate culture systems, we saw no replication defect. This unexpected result raises questions about why viruses infecting these species suppress CpG in their genomes, and importantly delivers a new, tractable approach to augment rational live attenuated IAV vaccine design.

microbiology↗

bioRxiv2022

Seasonal dynamics of the wild rodent faecal virome

Viral discovery studies in wild animals often rely on cross-sectional surveys at a single time point. As a result, our understanding of the temporal stability of wild animal viromes remains poorly resolved. While studies of single host-virus systems indicate that host and environmental factors influence seasonal virus transmission dynamics, comparable insights for whole viral communities in multiple hosts are lacking. Leveraging non-invasive faecal samples from a long-term wild rodent study, we characterised viral communities of three common European rodent species (Apodemus sylvaticus, A. flavicollis, and M. glareolus) living in temperate woodland over a single year. Our findings indicate that a substantial fraction of the rodent virome is seasonally transient and associated with vertebrate or bacteria hosts. Further analyses of one of the most abundant virus families, Picornaviruses, show pronounced temporal changes in viral richness and diversity, which were associated with concurrent and up to [~]3-month lags in host density, ambient temperature, rainfall and humidity, suggesting complex feedbacks from the host and environmental factors on virus transmission and shedding in seasonal habitats. Overall, this study emphasizes the importance of understanding the seasonal dynamics of wild animal viromes in order to better predict and mitigate zoonotic risks.

ecology↗

bioRxiv2021

Zinc finger antiviral protein (ZAP) activity in mammalian and avian hosts in CpG and UpA-mediated restriction of RNA viruses and investigation of ZAP-mediated shaping of host transcriptome compositions

The ability of zinc finger antiviral protein (ZAP) to recognise and respond to RNA virus sequences with elevated frequencies of CpG dinucleotides has been proposed as a functional part of the vertebrate innate immune antiviral response. It has been further proposed that ZAP activity shapes compositions of cytoplasmic mRNA sequences to avoid self-recognition, particularly mRNAs for interferons (IFNs) and IFN-stimulated genes highly expressed when ZAP is upregulated during the antiviral state. We investigated the ZAP functional activity in different species of mammals and birds, and potential downstream effects of differences in CpG and UpA dinucleotide representations in host transcriptomes and in RNA viruses that infect them. Cell lines from different bird orders showed variability in restriction of influenza A virus and echovirus 7 replicons with elevated CpG frequencies and none restricted UpA-high mutants, in marked contrast to mammalian cell lines. Given this variability, we compared CpG and UpA representation in coding regions of ISGs and IFNs with the total cellular transcriptome to determine whether differences in ZAP activity shaped dinucleotide compositions of highly expressed genes during the antiviral state. While type 1 IFN genes typically showed often profound suppression of CpG and UpA frequencies, there was no over-suppression of CpGs or UpAs in ISGs in any species, irrespective of underlying ZAP activity. Similarly, mammalian and avian RNA virus genome sequences were compositionally equivalent as were IAV serotypes recovered from ducks, chickens and humans. Overall, we found no evidence for host variability in ZAP function impacting compositions of antiviral genes.

microbiology↗

bioRxiv2021

Diversity, taxonomy and evolution of archaeal viruses of the class Caudoviricetes

The archaeal tailed viruses (arTV), evolutionarily related to tailed double-stranded DNA bacteriophages of the class Caudoviricetes, represent the most common isolates infecting halophilic archaea. Only a handful of these viruses have been genomically characterized, limiting our appreciation of their ecological impacts and evolution. Here, we present 37 new genomes of haloarchaeal tailed virus isolates, more than doubling the current number of sequenced arTVs. Analysis of all 63 available complete genomes of arTVs, which we propose to classify into 14 new families, suggests ancient divergence of archaeal and bacterial tailed viruses and points to an extensive sharing of genes involved in DNA metabolism and counter defense mechanisms, illuminating common strategies of virus-host interactions with tailed bacteriophages. Coupling of the comparative genomics with the host range analysis on a broad panel of haloarchaeal species uncovered four distinct groups of viral tail fiber adhesins controlling the host range expansion. The survey of metagenomes using viral hallmark genes suggests that the global architecture of the arTV community is shaped through recurrent transfers between different biomes, including hypersaline, marine and anoxic environments.

microbiology↗

bioRxiv2021

Mutation bias implicates RNA editing in a wide range of mammalian RNA viruses

The rapid evolution of RNA viruses has been long considered to result from a combination of high copying error frequencies during RNA replication, short generation times and the consequent extensive fixation of neutral or adaptive changes over short periods. While both the identities and sites of mutations are typically modelled as being random, recent investigations of sequence diversity of SARS coronavirus 2 (SARS-CoV-2) have identified a preponderance of C->U transitions, potentially driven by an APOBEC-like RNA editing process. The current study investigated whether this phenomenon could be observed in the more genetically diverse datasets of other RNA viruses. Using a 5% divergence filter to infer directionality, 18 from 32 datasets of aligned coding region sequences from a diverse range of mammalian RNA viruses (including Picornaviridae, Flaviviridae, Matonaviridae, Caliciviridae and Coronaviridae) showed a >2-fold base composition normalised excess of C->U transitions compared to U->C (range 2.1x-7.5x). C->U transitions showed a weak favoured 5 U upstream context consistent with previous analyses of APOBEC-mediated RNA targeting. Amongst several genomic compositional and structural parameters, the presence of genome scale RNA secondary structure (GORS) was associated with C->U/U->C transition asymmetries (p < 0.001), potentially reflecting the documented structure dependence of APOBEC-mediated RNA editing. Using the association index metric, C->U changes were specifically over-represented at phylogenetically uninformative sites, consistent with extensive homoplasy documented in SARS-CoV-2. Excess C->U substitutions accounted for 15-20% of standing sequence variability of HCV and other RNA viruses; RNA editing may therefore represent a potent driver of RNA virus sequence diversification and longer term evolution. Author SummaryThe rapid evolution of RNA viruses is thought to arise from high mutation frequencies during replication and the rapid accumulation of genetic changes over time in response to its changing environments. This study describes an additional potent factor that contributes to the evolution of RNA infecting mammals, the deliberate mutation of the viral genome by host antiviral pathways active within the cell when it becomes infected. This so called "genome editing" by one or more APOBEC enzymes leads to characteristic C->U mutations that damage the viruss ability to replicate. While this pathway is well characterised as an antiviral defence against HIV and other retroviruses, this study provides evidence for its activity against a wide range of human and veterinary viruses, including HCV and foot and mouth disease virus. APOBEC-driven mutations accounted for 15-20% of standing sequence variability of RNA virus groups, representing a potent driver of RNA virus sequence diversification.

genomics↗

bioRxiv2021

An adaptive compromise - Conflicting evolutionary pressures on arthropod borne Zika virus dinucleotide composition in mammalian hosts and mosquito vectors

Most vertebrate RNA viruses show pervasive suppression of CpG and UpA dinucleotides, closely resembling the dinucleotide composition of host cell transcriptomes. In contrast, CpG suppression is absent in both invertebrate mRNA and RNA viruses that exclusively infect arthropods. Arthropod-borne (arbo) viruses are transmitted between vertebrate hosts by invertebrate vectors and thus encounter potentially conflicting evolutionary pressures in the different cytoplasmic environments. Using a newly developed Zika virus (ZIKV) model, we have investigated how demands for CpG suppression in vertebrate cells can be reconciled with potentially quite different compositional requirements in invertebrates, and how this affects ZIKV replication and transmission. Mutant viruses with synonymously elevated CpG or UpA dinucleotide frequencies showed attenuated replication in vertebrate cell lines, which was rescued by knockout of the zinc-finger antiviral protein (ZAP). Conversely, in mosquito cells, ZIKV mutants with elevated CpG dinucleotide frequencies showed substantially enhanced replication compared to wildtype. Host-driven effects on virus replication attenuation and enhancement were even more apparent in mouse and mosquito models. Infections with CpG-or UpA-high ZIKV mutants in mice did not cause typical ZIKV-induced tissue damage and completely protected mice during subsequent challenge with wildtype virus, which demonstrates their potential as live-attenuated vaccines. In contrast, the CpG-high mutants displayed enhanced replication in Aedes aegypti mosquitoes and a larger proportion of mosquitoes carried infectious virus in their saliva. These findings show that mosquito cells are also capable of discriminating RNA based on dinucleotide composition. However, the evolutionary pressure on the CpG dinucleotides of viral genomes in arthropod vectors directly opposes the pressure present in vertebrate host cells, which provides evidence that an adaptive compromise is required for arbovirus transmission. This suggests that the genome composition of arthropod-borne flaviviruses is crucial to maintain the balance between high-level replication in the vertebrate host and persistent replication in the mosquito vector.

microbiology↗

bioRxiv2021

Prisoner of War dynamics explains the time-dependent pattern of substitution rates in viruses

Molecular clock dating is widely used to estimate timescales of phylogenetic histories and to infer rates at which species evolve. One of the major challenges with inferring rates of molecular evolution is the observation of a strong correlation between estimated rates and the timeframe of their measurements. Recent empirical analysis of virus evolutionary rates suggest that a power-law rate decay best explains the time-dependent pattern of substitution rates and that the same pattern is observed regardless of virus type (e.g. groups I-VII in the Baltimore classification). However there exists no explanation for this trend based on molecular evolutionary mechanisms. We provide a simple predictive mechanistic model of the time-dependent rate phenomenon, incorporating saturation and host constraints on the evolution of some sites. Our model recapitulates the ubiquitous power-law rate decay with a slope of -0.65 (95% HPD: -0.72, -0.52) and can satisfactorily account for the variation in inferred molecular evolutionary rates over a wide range of timeframes. We show that once the saturation of sites starts - typically after hundreds of years in RNA viruses and thousands of years in DNA viruses - standard substitution models fail to correctly estimate divergence times among species, while our model successfully re-creates the observed pattern of rate decay. We apply our model to re-date the diversification of genotypes of hepatitis C virus (HCV) to 396,000 (95% HPD: 326,000 - 425,000) years before present, a time preceding the dispersal of modern humans out of Africa, and also showed that the most recent common ancestor of sarbecoviruses dates back to 23,500 (95% HPD: 21,100 - 25,300) years ago, nearly thirty times older than previous estimates. This not only creates a radical new perspective for our understanding the origins of HCV but also suggests a substantial revision of evolutionary timescales of other viruses can be similarly achieved.

evolutionary biology↗