Viral genome sequence datasets display pervasive evidence of strand-specific substitution biases that are best described using non-reversible nucleotide substitution models.

Background: The vast majority of phylogenetic trees are inferred from molecular sequence data (nucleotides or amino acids) using time-reversible evolutionary models which assume that, for any pair of nucleotide or amino acid characters, the relative rate of X to Y substitution is the same as the relative rate of Y to X substitution. However, this reversibility assumption is unlikely to accurately reflect the actual underlying biochemical and/or evolutionary processes that lead to the fixation of substitutions. Here, we use empirical viral genome sequence data to reveal that evolutionary non-reversibility is pervasive among most groups of viruses. Specifically, we consider two non-reversible nucleotide substitution models: (1) a 6-rate non-reversible model (NREV6) in which Watson-Crick complementary substitutions occur at identical relative rates and which might therefor be most applicable to analyzing the evolution of genomes where both complementary strands are subject to the same mutational processes (such as might be expected for double-stranded (ds) RNA or dsDNA genomes); and (2) a 12-rate non-reversible model (NREV12) in which all relative substitution types are free to occur at different rates and which might therefore be applicable to analyzing the evolution of genomes where the complementary genome strands are subject to different mutational processes (such as might be expected for viruses with single-stranded (ss) RNA or ssDNA genomes). Results: Using likelihood ratio and Akaike Information Criterion-based model tests, we show that, surprisingly, NREV12 provided a significantly better fit to 21/31 dsRNA and 20/30 dsDNA datasets than did the general time reversible (GTR) and NREV6 models with NREV6 providing a better fit than NREV12 and GTR in only 5/30 dsDNA and 2/31 dsRNA datasets. As expected, NREV12 provided a significantly better fit to 24/33 ssDNA and 40/47 ssRNA datasets. Next, we used simulations to show that increasing degrees of strand-specific substitution bias decrease the accuracy of phylogenetic inference irrespective of whether GTR or NREV12 is used to describe mutational processes. However, in cases where strand-specific substitution biases are extreme (such as in SARS-CoV-2 and Torque teno sus virus datasets) NREV12 tends to yield more accurate phylogenetic trees than those obtained using GTR. Conclusion: We show that NREV12 should, be seriously considered during the model selection phase of phylogenetic analyses involving viral genomic sequences.

How virulent are emerging maize-infecting mastreviruses?

Maize streak disease (MSD) is one of the most significant biotic constraints on the production of Africa's most important cereal crop. Until recently, the only virus known to cause severe MSD was the A-strain of maize streak virus (MSV/A), a member of the genus Mastrevirus, family Geminiviridae. However, over the past decade, two other mastreviruses, MSV/C and maize streak Réunion virus (MSRV), have been repeatedly found in the absence of MSV/A in maize plants displaying severe MSD symptoms. Here, we report on infectious clones of MSV/C and MSRV and test their ability to cause severe MSD symptoms. Although cloned MSV/C and MSRV genomes could cause systemic symptomatic infections in MSD-sensitive maize genotypes, these infections yielded substantially milder symptoms than those observed in the field. The MSV/C and MSRV isolates that we have examined are therefore unlikely to cause severe MSD on their own. Furthermore, mixed infections of MSRV and MSV/C with other mild MSV strains also consistently yielded mild MSD symptoms. It is noteworthy that MSRV produces distinctive striate symptoms in maize that are similar in pattern, albeit not in severity, to those seen in the field, showing that this virus may contribute to the severe MSD symptoms seen in the field. Therefore, despite not fulfilling Koch's postulates for MSV/C and MSRV as causal agents of severe MSD, we cannot exclude the possibility that these viruses could be contributing to currently emerging maize diseases.

Symptom evolution following the emergence of maize streak virus.

For pathogens infecting single host species evolutionary trade-offs have previously been demonstrated between pathogen-induced mortality rates and transmission rates. It remains unclear, however, how such trade-offs impact sub-lethal pathogen-inflicted damage, and whether these trade-offs even occur in broad host-range pathogens. Here, we examine changes over the past 110 years in symptoms induced in maize by the broad host-range pathogen, maize streak virus (MSV). Specifically, we use the quantified symptom intensities of cloned MSV isolates in differentially resistant maize genotypes to phylogenetically infer ancestral symptom intensities and check for phylogenetic signal associated with these symptom intensities. We show that whereas symptoms reflecting harm to the host have remained constant or decreased, there has been an increase in how extensively MSV colonizes the cells upon which transmission vectors feed. This demonstrates an evolutionary trade-off between amounts of pathogen-inflicted harm and how effectively viruses position themselves within plants to enable onward transmission.

From Spatial Metagenomics to Molecular Characterization of Plant Viruses: A Geminivirus Case Study.

The number of plant viruses that are known likely remains only a vanishingly small fraction of all extant plant virus species. Consequently, the distribution and population dynamics of plant viruses within even the best-studied ecosystems have only ever been studied for small groups of virus species. Even for the best studied of these groups very little is known about virus diversity at spatial scales ranging from an individual host, through individual local host populations to global host populations. To date, metagenomics studies that have assessed the collective or metagenomes of viruses at the ecosystem scale have revealed many previously unrecognized viral species. More recently, novel georeferenced metagenomics approaches have been devised that can precisely link individual sequence reads to both the plant hosts from which they were obtained, and the spatial arrangements of these hosts. Besides illuminating the diversity and the distribution of plant viruses at the ecosystem scale, application of these "geometagenomics" approaches has enabled the direct testing of hypotheses relating to the impacts of host diversity, host spatial variations, and environmental conditions on plant virus diversity and prevalence. To exemplify how such top-down approaches can provide a far deeper understanding of host-virus associations, we provide a case-study focusing on geminiviruses within two complex ecosystems containing both cultivated and uncultivated areas. Geminiviruses are a highly relevant model for studying the evolutionary and ecological aspects of viral emergence because the family Geminiviridae includes many of the most important crop pathogens that have emerged over the past century. In addition to revealing unprecedented degrees of geminivirus diversity within the analyzed ecosystems, the geometagenomics-based approach enabled the focused in-depth analysis of the complex evolutionary dynamics of some of the highly divergent geminivirus species that were discovered.

Recombinant Goose Circoviruses Circulating in Domesticated and Wild Geese in Poland.

Circoviruses are circular single-stranded DNA (ssDNA) viruses that infect a variety of animals, both domestic and wild. Circovirus infection in birds is associated with immunosuppression and this in turn predisposes the infected animals to secondary infections that can lead to mortality. Farmed geese (Anser anser) in many parts of the world are infected with circoviruses. The majority of the current genomic information for goose circoviruses (GoCVs) (n = 40) are from birds sampled in China and Taiwan, and only two genome sequences are available from Europe (Germany and Poland). In this study, we sampled 23 wild and 19 domestic geese from the Goplo Lake area in Poland. We determined the genomes of GoCV from 21 geese; 14 domestic Greylag geese (Anser anser), three wild Greylag geese (A. anser), three bean geese (A. fabalis), and one white fronted goose (A. albifrons). These genomes share 83-95% nucleotide pairwise identities with previously identified GoCV genomes, most are recombinants with exchanged fragment sizes up to 50% of the genome. Higher diversity levels can be seen within the genomes from domestic geese compared with those from wild geese. In the GoCV capsid protein (cp) and replication associated protein (rep) gene sequences we found that episodic positive selection appears to largely mirror those of beak and feather disease virus and pigeon circovirus. Analysis of the secondary structure of the ssDNA genome revealed a conserved stem-loop structure with the G-C rich stem having a high degree of negative selection on these nucleotides.

Geometagenomics illuminates the impact of agriculture on the distribution and prevalence of plant viruses at the ecosystem scale.

Disease emergence events regularly result from human activities such as agriculture, which frequently brings large populations of genetically uniform hosts into contact with potential pathogens. Although viruses cause nearly 50% of emerging plant diseases, there is little systematic information about virus distribution across agro-ecological interfaces and large gaps in understanding of virus diversity in nature. Here we applied a novel landscape-scale geometagenomics approach to examine relationships between agricultural land use and distributions of plant-associated viruses in two Mediterranean-climate biodiversity hotspots (Western Cape region of South Africa and Rhône river delta region of France). In total, we analysed 1725 geo-referenced plant samples collected over two years from 4.5 × 4.5 km2 grids spanning farmlands and adjacent uncultivated vegetation. We found substantial virus prevalence (25.8-35.7%) in all ecosystems, but prevalence and identified family-level virus diversity were greatest in cultivated areas, with some virus families displaying strong agricultural associations. Our survey revealed 94 previously unknown virus species, primarily from uncultivated plants. This is the first effort to systematically evaluate plant-associated viromes across broad agro-ecological interfaces. Our findings indicate that agriculture substantially influences plant virus distributions and highlight the extent of current ignorance about the diversity and roles of viruses in nature.

Molecular diversity, geographic distribution and host range of monocot-infecting mastreviruses in Africa and surrounding islands.

Maize streak virus (MSV), an important pathogen of maize in Africa, is the most extensively studied member of the Mastrevirus genus in the family Geminiviridae. Comparatively little is known about other monocot-infecting African mastreviruses, most of which infect uncultivated grasses. Here we determine the complete sequences of 134 full African mastrevirus genomes from predominantly uncultivated Poaceae species. Based on established taxonomic guidelines for the genus Mastrevirus, these genomes could be classified as belonging to the species Maize streak virus, Eragrostis minor streak virus, Maize streak Reunion virus, Panicum streak virus, Sugarcane streak Reunion virus and Sugarcane streak virus. Together with all other publicly available African monocot-infecting mastreviruses, the 134 new isolates extend the known geographical distributions of many of these species, including MSV which we found infecting Digitaria sp. on the island of Grand Canaria: the first definitive discovery of any African monocot-infecting mastreviruses north-west of the Saharan desert. These new isolates also extend the known host ranges of both African mastrevirus species and the strains within these. Most notable was the discovery of MSV-C isolates infecting maize which suggests that this MSV strain, which had previously only ever been found infecting uncultivated species, may be in the process of becoming adapted to this important staple crop.

The role of Kenya in the trans-African spread of maize streak virus strain A.

Maize streak virus (MSV), the causal agent of maize streak disease (MSD), is the most important viral pathogen of Africa's staple food crop, maize. Previous phylogeographic analyses have revealed that the most widely-distributed and common MSV variant, MSV-A1, has been repeatedly traversing Africa over the past fifty years with long-range movements departing from either the Lake Victoria region of East Africa, or the region around the convergence of Zimbabwe, South Africa and Mozambique in southern Africa. Despite Kenya being the second most important maize producing country in East Africa, little is known about the Kenyan MSV population and its contribution to the ongoing diversification and trans-continental dissemination of MSV-A1. We therefore undertook a sampling survey in this country between 2008 and 2011, collecting MSD prevalence data in 119 farmers' fields, symptom severity data for 170 maize plants and complete MSV genome sequence data for 159 MSV isolates. We then used phylogenetic and phylogeographic analyses to show that whereas the Kenyan MSV population is likely primarily derived from the MSV population in neighbouring Uganda, it displays considerably more geographical structure than the Ugandan population. Further, this geographical structure likely confounds apparent associations between virus genotypes and both symptom severity and MSD prevalence in Kenya. Finally, we find that Kenya is probably a sink rather than a source of MSV diversification and movement, and therefore, unlike Uganda, Kenya probably does not play a major role in the trans-continental dissemination of MSV-A1.

Molecular characterization and prevalence of two capulaviruses: Alfalfa leaf curl virus from France and Euphorbia caput-medusae latent virus from South Africa.

Little is known about the prevalence, diversity, evolutionary processes, genomic structures and population dynamics of viruses in the divergent geminivirus lineage known as the capulaviruses. We determined and analyzed full genome sequences of 13 Euphorbia caput-medusae latent virus (EcmLV) and 26 Alfalfa leaf curl virus (ALCV) isolates, and partial genome sequences of 23 EcmLV and 37 ALCV isolates. While EcmLV was asymptomatic in uncultivated southern African Euphorbia caput-medusae, severe alfalfa disease symptoms were associated with ALCV in southern France. The prevalence of both viruses exceeded 10% in their respective hosts. Besides using patterns of detectable negative selection to identify ORFs that are probably functionally expressed, we show that ALCV and EcmLV both display evidence of inter-species recombination and biologically functional genomic secondary structures. Finally, we show that whereas the EcmLV populations likely experience restricted geographical dispersion, ALCV is probably freely moving across the French Mediterranean region.