Virology Research Articles

How does Agricultural Expansion Affect Nipah Virus Ecology?

In locations experiencing rapid agricultural expansion, the Nipah virus is an emerging zoonotic pathogen that brings about a serious threat to public health. This study looks at the effects that agricultural expansion has on the ecology of the Nipah virus. The study examines the consequences of habitat loss on fruit bat populations, the natural reservoir hosts for the Nipah virus, and how these changes influence bat foraging behaviour and interaction rates with other living organisms. Through reviews of outbreak data, the research identifies a link between agricultural activities and the increased risk of Nipah virus spillover into populations. The findings suggest that the expansion of agriculture disturbs the natural habitats of bats, forcing them to forage near humans and livestock which encourages the virus's spread. The results emphasize the importance of strategies for agricultural biosecurity, wildlife conservation, and land-use planning in order to minimize the potential for Nipah virus outbreaks.

Evolutionary Relationships of Unclassified Coronaviruses in Canadian Bat Species

Bats are recognized as natural reservoirs for an array of diverse viruses, particularly coronaviruses, which have been linked to major human diseases like SARS-CoV and MERS-CoV. These viruses are believed to have originated in bats, highlighting their role in virus ecology and evolution. Our study focuses on the molecular characterization of bat-derived coronaviruses (CoVs) in Canada. Tissue samples from 500 bat specimens collected in Canada were analyzed using pan-coronavirus RT-PCR assays to detect the presence of CoVs from four genera: Alpha-CoVs, Beta-CoV, Gamma-CoV, and Delta-CoV. Phylogenetic analysis was performed targeting the RNA-dependent RNA polymerase (RdRP) gene. Our results showed an overall 1.4% CoV positivity rate in our bat sample size. Phylogenetic analysis based on the ~600 bp sequences led to the identification of an unclassified subgenus of Alpha-CoV, provisionally named Eptacovirus. The findings contribute to a better understanding of the diversity and evolution of CoVs found in the bat species of Canada. The current study underscores the significance of bats in the epidemiology of CoVs and enhances the knowledge of their genetic diversity and potential impact on global public health.

Studying bats using a One Health lens: bridging the gap between bat virology and disease ecology.

Accumulating data suggest that some bat species host emerging viruses that are highly pathogenic in humans and agricultural animals. Laboratory-based studies have highlighted important adaptations in bat immune systems that allow them to better tolerate viral infections compared to humans. Simultaneously, ecological studies have discovered critical extrinsic factors, such as nutritional stress, that correlate with virus shedding in wild-caught bats. Despite some progress in independently understanding the role of bats as reservoirs of emerging viruses, there remains a significant gap in the molecular understanding of factors that drive virus spillover from bats. Driven by a collective goal of bridging the gap between the fields of bat virology, immunology, and disease ecology, we hosted a satellite symposium at the 2024 American Society for Virology meeting. Bringing together virologists, immunologists, and disease ecologists, we discussed the intrinsic and extrinsic factors such as virus receptor engagement, adaptive immunity, and virus ecology that influence spillover from bat hosts. This article summarizes the topics discussed during the symposium and emphasizes the need for interdisciplinary collaborations and resource sharing.

A Closer Look at the Avian Influenza Virus H7N9: A Calm before the Storm?

The avian influenza A (H7N9) virus, which circulates in wild birds and poultry, has been a major concern for public health since it was first discovered in China in 2013 due to its demonstrated ability to infect humans, causing severe respiratory illness with high mortality rates. According to the World Health Organization (WHO), a total of 1568 human infections with 616 fatal cases caused by novel H7N9 viruses have been reported in China from early 2013 to January 2024. This manuscript provides a comprehensive review of the virology, evolutionary patterns, and pandemic potential of H7N9. The H7N9 virus exhibits a complex reassortment history, receiving genes from H9N2 and other avian influenza viruses. The presence of certain molecular markers, such as mutations in the hemagglutinin and polymerase basic protein 2, enhances the virus's adaptability to human hosts. The virus activates innate immune responses through pattern recognition receptors, leading to cytokine production and inflammation. Clinical manifestations range from mild to severe, with complications including pneumonia, acute respiratory distress syndrome, and multiorgan failure. Diagnosis relies on molecular assays such as reverse transcription-polymerase chain reaction. The increasing frequency of human infections, along with the virus's ability to bind to human receptors and cause severe disease, highlights its pandemic potential. Continued surveillance, vaccine development, and public health measures are crucial to limit the risk posed by H7N9. Understanding the virus's ecology, transmission dynamics, and pathogenesis is essential for developing effective prevention and control strategies.

Expansion of Oropouche virus in non-endemic Brazilian regions: analysis of genomic characterisation and ecological drivers.

Oropouche virus (OROV) is an arbovirus endemic in the Amazon region that closely resembles other arboviruses in terms of human disease, leading to potential misdiagnoses. The virus ecology has mostly restricted its occurrence to the Amazon biome; however, after a large 2023-24 OROV epidemic in the Brazilian Amazon region, outbreaks are being reported across Brazil and in other countries in Latin America. Here, we investigate the OROV spread outside Amazonia. In this genomic and epidemiological study, OROV cases from January, 2023, to July, 2024, provided by the General Coordination of Public Health Laboratories of Brazil on Aug 1, 2024, were compared by geographical location (Amazon vs non-Amazon) and municipal population size, and a linear mixed model was employed to assess the relationship between agricultural area size and cases. OROV-positive samples from central laboratories of five non-Amazonian Brazilian states were sequenced using an amplicon-based approach. Bayesian phylogeographical analysis was performed with near full-length viral genomes, incorporating individual travel histories when relevant. The estimated dates of viral introductions in each sampled location were then contextualised with public epidemiological data. Epidemic data show that outside the Amazon region, OROV cases frequency was 3·9-times higher in small municipalities than in large municipalities. The planted areas of some agricultural products, such as banana plantations, were positively correlated (r=0·39, p<0·0001) with OROV cases. The linear mixed model revealed that, besides banana, cassava also has larger (p<0·05) planted areas in municipalities with OROV cases when compared with those with no cases. The phylogenetic analysis of 32 new OROV genomes reconstructed multiple exportation events of the newly identified reassortant lineage from the Amazon to other Brazilian regions between January and March, 2024. At least three of the previously described OROV phylogenetic clades circulating in the Amazon were the source of viral introductions. Molecular clock analysis estimated that viral introductions happened from 50 days to 100 days before detecting the outbreaks in each state. Our results confirm that the novel OROV reassortant lineage spread from the Amazon to other regions in early 2024, successfully establishing local transmission. The fact that outbreaks were observed in small municipalities, instead of large urban centres, suggests that local ecological conditions that are ideal for OROV vector occurrence, such as the banana plantation environment, might be important factors driving its spread in Brazil. DECIT, CNPq, FAPEAM, and Inova-Fiocruz. For the Portuguese translation of the abstract see Supplementary Materials section.

Exploring the Multifaceted Role of Viruses in Sustaining Biodiversity: Mechanisms, Implications, and Contributions to Ecosystems Stability

Viruses, traditionally recognized as pathogenic agents, are increasingly acknowledged for their indispensable roles in sustaining biodiversity and fostering ecosystem stability. This review examines the multifaceted contributions of viruses, exploring their influence on nutrient cycling, genetic diversification, and regulation of microbial populations. By mediating microbial interactions, facilitating horizontal gene transfer, and driving co-evolutionary processes, viruses shape the intricate tapestry of life across diverse ecosystems. The primary aim of this study is to synthesize contemporary findings in virology to highlight the universal ecological importance of viruses. Drawing upon research conducted in marine, terrestrial, and extreme habitats, the review delineates the mechanisms through which viruses mediate ecological balance. Utilizing meta-analyses of global virome datasets, coupled with advanced metagenomics and bioinformatics methodologies, this investigation unveils the nuanced interplay between viral activity and ecosystem functionality. The results illuminate the significant role of viruses in regulating population dynamics, promoting evolutionary innovation, and maintaining genetic reservoirs critical for ecological resilience. This research enriches our understanding of viral influence on biogeochemical cycles and biodiversity, establishing viruses as integral components of global ecosystems. Furthermore, it contributes a paradigm shift in virology, advocating for a broader perspective that transcends the traditional view of viruses as mere pathogens. The practical implications are profound, providing insights for conservation biology and climate resilience strategies. By reimagining viruses as keystones of ecological health, this work underscores the necessity of integrating viral ecology into holistic environmental and evolutionary research frameworks, advancing scientific and practical knowledge of ecosystem sustainability.

Sympatric populations of crop and wild carrots (Daucus carota ssp.) have distinct viromes, with shared core species more prevalent in farm-grown populations

Viral exchanges between crops and wild plants are important considerations in virus ecology and epidemiology but remain poorly understood. To investigate such exchanges, we compared the viromes of wild and farmed carrots (Daucus carota ssp.) growing near each other in France. Farm populations included cultivated varieties and off-type carrots (resembling wild ones) growing among them. This crop - wild relative pathosystem offers notable opportunities for virus exchange due to the hosts’ genetic closeness and geographic proximity. High-throughput sequencing found that viral taxonomic richness was greatest in wild carrots. However, hierarchical clustering and bipartite network analyses revealed that wild and farm carrot viromes differed in their seed-borne and vector-borne components. While ~50% of viral taxa were shared among carrot population types, others were uniquely associated with either wild or farm carrots. Individual-plant RT-PCR testing of 16 aphid-borne agents from the shared core virome found their prevalence was generally greatest in farm populations, with some geographic variability in virus pressure. The viromes of off-type and cultivated carrots were most similar, suggesting that proximity and/or management practices influence virome properties. For some aphid-borne viruses, similar isolates were found in wild and cultivated carrots, suggesting exchanges between them or with a shared source. However, isolates of other aphid-borne viruses clustered by carrot type, indicating barriers to viral fluxes, that might involve differential susceptibility of populations, vector preferences, or unidentified factors. To improve virus management, we need better understanding of how specific facilitators and barriers of viral exchange can be manipulated to reduce negative viral impacts.

Microbial distribution in Mudbank regions off Alappuzha, South-West coast of India.

The coastal waters of Kerala, in the South Eastern Arabian Sea (SEAS), are unique during the Southwest monsoon season due to the concurrent occurrence of two physical processes, the upwelling and Mudbanks. However, little is known about the viral ecology and activity in a system where upwelling and Mudbanks coexist, though it is generally recognized that microbial assemblages play a vital role in the food web dynamics of marine systems, particularly in upwelling. Water samples were taken from monsoon and pre-monsoon period from three locations, (M1, M2, and M3) off Alappuzha, on the southwest coast of India to examine the viral activity and distribution. The dissolved oxygen levels showed the incursion of hypoxic waters in all the stations during the peak upwelling period. Upwelling signals were prominent in all the stations, but Mudbank and upwelling co-occurred at M2 alone during monsoon. The abundance of viruses ranged from 0.86 to 15.68 × 106 Viral-like Particles (VLPs mL-1) and prokaryotic abundance ranged from 2.73-16.26 × 105 cells mL-1. Viral and prokaryotic abundance was significantly higher in the monsoon compared to pre and late-monsoon. Based on Transmission electron microscopy (TEM) results, the non-tailed viruses constituted the major (43%) proportion of the total viruses in this study region. However, the viral production rates and viral-mediated bacterial mortality were high in the pre-monsoon compared to the monsoon and late-monsoon periods. There was no obvious effect of Mudbanks on viral dynamics and the observed variations in virological and hydrological features were governed mainly by coastal upwelling.

Features that matter: Evolutionary signatures can predict viral transmission routes.

Routes of virus transmission between hosts are key to understanding viral epidemiology. Different routes have large effects on viral ecology, and likelihood and rate of transmission; for example, respiratory and vector-borne viruses together encompass the majority of rapid outbreaks and high-consequence animal and plant epidemics. However, determining the specific transmission route(s) can take months to years, delaying mitigation efforts. Here, we identify the viral features and evolutionary signatures which are predictive of viral transmission routes and use them to predict potential routes for fully-sequenced viruses in silico and rapidly, for both viruses with no observed routes, as well as viruses with missing routes. This was achieved by compiling a dataset of 24,953 virus-host associations with 81 defined transmission routes, constructing a hierarchy of virus transmission encompassing those routes and 42 higher-order modes, and engineering 446 predictive features from three complementary perspectives. We integrated those data and features to train 98 independent ensembles of LightGBM classifiers. We found that all features contributed to the prediction for at least one of the routes and/or modes of transmission, demonstrating the utility of our broad multi-perspective approach. Our framework achieved ROC-AUC = 0.991, and F1-score = 0.855 across all included transmission routes and modes, and was able to achieve high levels of predictive performance for high-consequence respiratory (ROC-AUC = 0.990, and F1-score = 0.864) and vector-borne transmission (ROC-AUC = 0.997, and F1-score = 0.921). Our framework ranks the viral features in order of their contribution to prediction, per transmission route, and hence identifies the genomic evolutionary signatures associated with each route. Together with the more matured field of viral host-range prediction, our predictive framework could: provide early insights into the potential for, and pattern of viral spread; facilitate rapid response with appropriate measures; and significantly triage the time-consuming investigations to confirm the likely routes of transmission.

Local patterns of spread of influenza A H3N2 virus in coastal Kenya over a 1-year period revealed through virus sequence data.

The patterns of spread of influenza A viruses in local populations in tropical and sub-tropical regions are unclear due to sparsity of representative spatiotemporal sequence data. We sequenced and analyzed 58 influenza A(H3N2) virus genomes sampled between December 2015 and December 2016 from nine health facilities within the Kilifi Health and Demographic Surveillance System (KHDSS), a predominantly rural region, covering approximately 891km2 along the Kenyan coastline. The genomes were compared with 1571 contemporaneous global sequences from 75 countries. We observed at least five independent introductions of A(H3N2) viruses into the region during the one-year period, with the importations originating from Africa, Europe, and North America. We also inferred 23 virus location transition events between the nine facilities included in the study. International virus imports into the study area were captured at the facilities of Chasimba, Matsangoni, Mtondia, and Mavueni, while all four exports from the region were captured from the Chasimba facility, all occurring to Africa destinations. A strong spatial clustering of virus strains at all locations was observed associated with local evolution. Our study shows that influenza A(H3N2) virus epidemics in local populations appear to be characterized by limited introductions followed by significant local spread and evolution. Knowledge of the viral lineages that circulate within specific populations in understudied tropical and subtropical regions is required to understand the full diversity and global ecology of influenza viruses and to inform vaccination strategies within these populations.

Viromes vs. mixed community metagenomes: choice of method dictates interpretation of viral community ecology

BackgroundViruses, the majority of which are uncultivated, are among the most abundant biological entities on Earth. From altering microbial physiology to driving community dynamics, viruses are fundamental members of microbiomes. While the number of studies leveraging viral metagenomics (viromics) for studying uncultivated viruses is growing, standards for viromics research are lacking. Viromics can utilize computational discovery of viruses from total metagenomes of all community members (hereafter metagenomes) or use physical separation of virus-specific fractions (hereafter viromes). However, differences in the recovery and interpretation of viruses from metagenomes and viromes obtained from the same samples remain understudied.ResultsHere, we compare viral communities from paired viromes and metagenomes obtained from 60 diverse samples across human gut, soil, freshwater, and marine ecosystems. Overall, viral communities obtained from viromes had greater species richness and total viral genome abundances than those obtained from metagenomes, although there were some exceptions. Despite this, metagenomes still contained many viral genomes not detected in viromes. We also found notable differences in the predicted lytic state of viruses detected in viromes vs metagenomes at the time of sequencing. Other forms of variation observed include genome presence/absence, genome quality, and encoded protein content between viromes and metagenomes, but the magnitude of these differences varied by environment.ConclusionsOverall, our results show that the choice of method can lead to differing interpretations of viral community ecology. We suggest that the choice of whether to target a metagenome or virome to study viral communities should be dependent on the environmental context and ecological questions being asked. However, our overall recommendation to researchers investigating viral ecology and evolution is to pair both approaches to maximize their respective benefits.ADm-mTTAXM3aVZwCyoroCBVideo

Ecological distribution and phylogenetic diversity of measles virus genotypes in West Africa, 2001 to 2020

IntroductionMeasles remains a significant threat to public health in developing countries, particularly among children under the age of 5. A pivotal aspect of the measles eradication initiative involves the genetic characterization of wild-type viruses to better understand transmission patterns and inform vaccination strategies. ObjectiveThis study aims to investigate the ecology and genotype diversity of the measles virus in West Africa from 2001 to 2020, utilizing available sequence data from the GenBank. MethodologyWe conducted a comprehensive analysis using maximum-likelihood phylogenetics, focusing on the N450 fragment from measles virus isolates found in West Africa between 2001 and 2020. Additionally, pairwise sequence comparison analysis was carried out to determine the evolutionary divergence of various genotypes in West Africa and their genetic distance from vaccine strains. ResultsOur findings indicate that over the past 2 decades, B3, D3, and D8 isolates have been circulating in various West African countries. Notably, B3 isolates have been identified as the primary contributors to endemic transmission, as evidenced by the concurrent presence of the same isolate in different countries within the subregion. Furthermore, our analysis reveals a significant shift in the circulation of D3 and D8 isolates, which were originally reported exclusively in New Guinea over 15 years ago but are now dominated by the B3 genotype. ConclusionOver the past 2 decades, B3, D3, and D8 measles virus genotypes have circulated in 10 West African countries. Particularly, B3.1 isolates currently dominate, especially in Nigeria, indicating endemic transmission. However, despite the informative value of N450, complete genome sequencing data is highly needed to accurately understand the evolutionary dynamics of the measles virus in West Africa.

Influence of climate on soil viral communities in Australia on a regional scale

AbstractViruses play a crucial role in regulating microbial communities and ecosystem functioning. However, the biogeographic patterns of viruses and their responses to climate factors remain underexplored. In this study, we performed viral size fraction metagenomes on 108 samples collected along a 2600 km transect across Australia, encompassing distinct climate conditions. A total of 14,531 viral operational taxonomic units were identified. Climate factors had a greater influence than edaphic and biotic factors on driving the alpha diversity of viral communities. The strongest relationship was observed between mean annual temperature and the diversity of viral communities. Moreover, climate factors, particularly aridity index, were the primary drivers of viral community structure. Overall, these findings underscore the pivotal role of climate factors in shaping viral communities and have implications for understanding how climate change influences soil viral ecology.

MVP: a modular viromics pipeline to identify, filter, cluster, annotate, and bin viruses from metagenomes.

While numerous computational frameworks and workflows are available for recovering prokaryote and eukaryote genomes from metagenome data, only a limited number of pipelines are designed specifically for viromics analysis. With many viromics tools developed in the last few years alone, it can be challenging for scientists with limited bioinformatics experience to easily recover, evaluate quality, annotate genes, dereplicate, assign taxonomy, and calculate relative abundance and coverage of viral genomes using state-of-the-art methods and standards. Here, we describe Modular Viromics Pipeline (MVP) v.1.0, a user-friendly pipeline written in Python and providing a simple framework to perform standard viromics analyses. MVP combines multiple tools to enable viral genome identification, characterization of genome quality, filtering, clustering, taxonomic and functional annotation, genome binning, and comprehensive summaries of results that can be used for downstream ecological analyses. Overall, MVP provides a standardized and reproducible pipeline for both extensive and robust characterization of viruses from large-scale sequencing data including metagenomes, metatranscriptomes, viromes, and isolate genomes. As a typical use case, we show how the entire MVP pipeline can be applied to a set of 20 metagenomes from wetland sediments using only 10 modules executed via command lines, leading to the identification of 11,656 viral contigs and 8,145 viral operational taxonomic units (vOTUs) displaying a clear beta-diversity pattern. Further, acting as a dynamic wrapper, MVP is designed to continuously incorporate updates and integrate new tools, ensuring its ongoing relevance in the rapidly evolving field of viromics. MVP is available at https://gitlab.com/ccoclet/mvp and as versioned packages in PyPi and Conda.IMPORTANCEThe significance of our work lies in the development of Modular Viromics Pipeline (MVP), an integrated and user-friendly pipeline tailored exclusively for viromics analyses. MVP stands out due to its modular design, which ensures easy installation, execution, and integration of new tools and databases. By combining state-of-the-art tools such as geNomad and CheckV, MVP provides high-quality viral genome recovery and taxonomy and host assignment, and functional annotation, addressing the limitations of existing pipelines. MVP's ability to handle diverse sample types, including environmental, human microbiome, and plant-associated samples, makes it a versatile tool for the broader microbiome research community. By standardizing the analysis process and providing easily interpretable results, MVP enables researchers to perform comprehensive studies of viral communities, significantly advancing our understanding of viral ecology and its impact on various ecosystems.

Protein Set Transformer: A protein-based genome language model to power high diversity viromics.

Exponential increases in microbial and viral genomic data demand transformational advances in scalable, generalizable frameworks for their interpretation. Standard homology-based functional analyses are hindered by the rapid divergence of microbial and especially viral genomes and proteins that significantly decreases the volume of usable data. Here, we present Protein Set Transformer (PST), a protein-based genome language model that models genomes as sets of proteins without considering sparsely available functional labels. Trained on >100k viruses, PST outperformed other homology- and language model-based approaches for relating viral genomes based on shared protein content. Further, PST demonstrated protein structural and functional awareness by clustering capsid-fold-containing proteins with known capsid proteins and uniquely clustering late gene proteins within related viruses. Our data establish PST as a valuable method for diverse viral genomics, ecology, and evolutionary applications. We posit that the PST framework can be a foundation model for microbial genomics when trained on suitable data.

Bovine Highly Pathogenic Avian Influenza Virus Stability and Inactivation in the Milk Byproduct Lactose.

The recent incursion of highly pathogenic influenza viruses into dairy cattle opens new insights for influenza virus ecology and its interspecies transmission and may have a significant impact on public health and agriculture. The aim of this study was to determine the stability of a bovine highly pathogenic avian influenza H5N1 virus isolate in the milk byproduct lactose and to evaluate two inactivation methods using industrial procedures. The bovine isolate of the highly pathogenic avian influenza H5N1 virus was stable for 14 days in a concentrated lactose solution under refrigerated conditions. Heat or citric acid treatments successfully inactivated the virus in lactose. This study highlights the persistence of HPAIV in lactose and its efficient inactivation under industrial standards.

Novel members of the order Picornavirales identified in freshwater from Guarapiranga reservoir in São Paulo

The global challenge of water resource availability is exacerbated by anthropogenic influences that promote the emergence of pollutants. Among these pollutants are microbiological agents, including viruses, which are ubiquitous in the biosphere and play a pivotal role in both ecological balance and the occurrence of diseases in animals and plants. Consequently, monitoring viruses in water sources becomes indispensable for the establishment of effective prevention, promotion, and control strategies. Within this context, the study focuses on the identification of novel viruses belonging to the Picornavirales order in freshwater from the Guarapiranga Reservoir in the state of São Paulo, Brazil. The samples were subjected to viral metagenomics. Our analysis led to the characterization of four distinct sequences (GinkV-05, AquaV_10, MarV_14, and MarV_64), which exhibited significant divergence compared to other members of the Picornavirales order. This remarkable diversity prompted the identification of a potential new genus within the Marnaviridae family, tentatively named Ginkgonavirus. Additionally, we characterized four sequences in a very distinct clade and propose the recognition of a novel family (named Aquaviridae) within the Picornavirales order. Our findings contribute valuable insights into the previously uncharted diversity of Picornavirales present in water sources, shedding light on an important facet of viral ecology and evolution in aquatic environments.

Evolution and biological characteristics of H11 avian influenza viruses isolated from migratory birds and pigeons

ABSTRACT The emergence of novel avian influenza reassortants in wild birds in recent years is a public health concern. However, the viruses that circulate in migratory birds are not fully understood. In this study, we summarized and categorized global H11 avian influenza viruses and reported that waterfowl and shorebirds are the major reservoirs of the identified H11 viruses. The surveillance data of the 35,749 faecal samples collected from wild bird habitats in eastern China over the past seven years revealed a low prevalence of H11 viruses in birds, with a positive rate of 0.067% (24 isolates). The phylogenetic analysis of the twenty viruses indicated that H11 viruses have undergone complex reassortment with viruses circulating in waterfowl and shorebirds. These tested viruses do not acquire mammalian adaptive mutations in their genomes and preferentially bind to avian-type receptors. Experimental infection studies demonstrated that the two tested H11N9 viruses of wild bird origin replicated and transmitted more efficiently in ducks than in chickens, whereas the pigeon H11N2 virus isolated from a live poultry market was more adapted to replicate in chickens than in ducks. In addition, some H11 isolates replicated efficiently in mice and caused body weight loss but were not lethal. Our study revealed the role of waterfowl and shorebirds in the ecology and evolution of H11 viruses and the potential risk of introducing circulating H11 viruses into ducks or chickens, further emphasizing the importance of avian influenza surveillance at the interface of migratory birds and poultry.

Identification of a Novel Parvovirus in the Arctic Wolf (Canis lupus arctos).

A novel virus, temporarily named "Arctic wolf parvovirus" (AWPV), was discovered in a pharyngeal metagenomic library derived from an Arctic wolf (Canis lupus arctos) in China. The genome sequence was assigned GenBase accession number C_AA071902.1. AWPV has a genome comprised of 4,920 base pairs with a nucleotide composition of 36.4% A, 23.4% T, 18.2% G, and 22.0% C, with a GC content of 40.2%. Its structure resembles parvoviruses, containing two open reading frames: the nonstructural (NS) region encoding replication enzymes and the structural (VP) region encoding capsid protein. Pairwise sequence comparison and phylogenetic analysis suggest AWPV may represent a novel species within the genus Protoparvovirus. This discovery enhances our understanding of mammalian virus ecology and potential future infectious diseases.

Diverse RNA viruses discovered in multiple seagrass species.

Seagrasses are marine angiosperms that form highly productive and diverse ecosystems. These ecosystems, however, are declining worldwide. Plant-associated microbes affect critical functions like nutrient uptake and pathogen resistance, which has led to an interest in the seagrass microbiome. However, despite their significant role in plant ecology, viruses have only recently garnered attention in seagrass species. In this study, we produced original data and mined publicly available transcriptomes to advance our understanding of RNA viral diversity in Zostera marina, Zostera muelleri, Zostera japonica, and Cymodocea nodosa. In Z. marina, we present evidence for additional Zostera marina amalgavirus 1 and 2 genotypes, and a complete genome for an alphaendornavirus previously evidenced by an RNA-dependent RNA polymerase gene fragment. In Z. muelleri, we present evidence for a second complete alphaendornavirus and near complete furovirus. Both are novel, and, to the best of our knowledge, this marks the first report of a furovirus infection naturally occurring outside of cereal grasses. In Z. japonica, we discovered genome fragments that belong to a novel strain of cucumber mosaic virus, a prolific pathogen that depends largely on aphid vectoring for host-to-host transmission. Lastly, in C. nodosa, we discovered two contigs that belong to a novel virus in the family Betaflexiviridae. These findings expand our knowledge of viral diversity in seagrasses and provide insight into seagrass viral ecology.