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355 results for “RNA viruses”

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dryad32/100

Data from: Re-assessing the diversity of negative strand RNA viruses in insects

<p class="western">The spectrum of viruses in insects is important for subjects as diverse as public health, veterinary medicine, food production, and biodiversity conservation. The traditional interest in vector-borne diseases of humans and livestock has drawn the attention of virus studies to hematophagous insect species. However, these represent only a tiny fraction of the broad diversity of Hexapoda, the most speciose group of animals. Here, we systematically probed the diversity of negative strand RNA viruses in the largest and most representative collection of insect transcriptomes from samples representing all 34 extant orders of Hexapoda and 3 orders of Entognatha, as well as outgroups, altogether representing 1243 species. Based on profile hidden Markov models we detected 488 viral RNA-directed RNA polymerase (RdRp) sequences with similarity to negative strand RNA viruses. These were identified in members of 324 arthropod species. Selection for length, quality, and uniqueness left 234 sequences for analyses, showing similarity to genomes of viruses classified in <i>Bunyavirales</i> (n=86), <i>Articulavirales</i> (n=54), and several orders within <i>Haploviricotina</i> (n=94). Coding-complete genomes or nearly-complete subgenomic assemblies were obtained in 61 cases. Based on phylogenetic topology and the availability of coding complete genomes we estimate that at least 20 novel viral genera in seven families need to be defined, only two of them monospecific. Seven additional viral clades emerge when adding sequences from the present study to formerly monospecific lineages, potentially requiring up to seven additional genera. One long sequence may indicate a novel family. For segmented viruses, cophylogenies between genome segments were generally improved by the inclusion of viruses from the present study, suggesting that <i>in silico</i> misassembly of segmented genomes is rare or absent. Contrary to previous assessments, significant virus-host codivergence was identified in major phylogenetic lineages based on two different approaches of codivergence analysis in a hypotheses testing framework. In spite of these additions to the known spectrum of viruses in insects, we caution that basing taxonomic decisions on genome information alone is challenging due to technical uncertainties, such as the inability to prove integrity of complete genome assemblies of segmented viruses.</p>

opencc-zeroNov 2019View details →
zenodo32/100

Bacterial RNA Virus MS2 Exposure Increases the Expression of Cancer Progression genes in LNCaP Prostate Cancer Cell Line

<p><strong>Supplementary Figure 1. </strong>Network of protein-protein interactions in LNCaP cells according to their interaction with T4 and M13 phages (DNA phages). The network of protein-protein interactions in Homo Sapiens was constructed using the string protein-protein interaction network v 11.5 [35] with the overexpressed genes (highest confidence level setting) in LNCaP cells. Interactions of overexpressed protein genes were mapped with the highest confidence cut-off of (0.7-0.9). In the resulting protein association network, proteins are presented as nodes connected by lines with varying thicknesses representing the highest confidence level of (0.7-0.9). It is observed that there is strong experimentally determining evidence for the link between SRC and other overexpressed genes, including MAPKs and other integrins by adding more nodes until the highest confidence level of (0.7-0.9) among all overexpressed genes was obtained based on known interactions.</p> <p>&nbsp;</p> <p><strong>Supplementary Figure 2. </strong>Enrichr web server-based gene set enrichment analysis for overexpressed cancer progression genes in LNCaP cells treated with (A) MS2 and (B) T4 and M13 phages; which predicts caveolin-mediated endocytosis for MS2 bacterial virus (with a p-value of 0.000001399). Similarly, an integrin-mediated signaling pathway (with a p-value of 0.000007588) based on overexpression of most integrin genes and caveolin-mediated endocytosis (with a p-value of 0.000001799) were predicted for both T4 and M13 phages based on GO Biological process 2021.</p>

opencc-by-4.0Aug 2022View details →
dryad32/100

Data from: RNA-Seq reveals virus–virus and virus–plant interactions in nature

As research on plant viruses has focused mainly on crop diseases, little is known about these viruses in natural environments. To understand the ecology of viruses in natural systems, comprehensive information on virus–virus and virus–host interactions is required. We applied RNA-Seq to plants from a natural population of Arabidopsis halleri subsp. gemmifera to simultaneously determine the presence/absence of all sequence-reported viruses, identify novel viruses, and quantify the host transcriptome. By introducing the criteria of read number and genome coverage, we detected infections by Turnip mosaic virus (TuMV), Cucumber mosaic virus, and Brassica yellows virus. Active TuMV replication was observed by ultramicroscopy. De novo assembly further identified a novel partitivirus, Arabidopsis halleri partitivirus 1. Interestingly, virus reads reached a maximum level that was equivalent to that of the host's total mRNA, although asymptomatic infection was common. AhgAGO2, a key gene in host defence systems, was upregulated in TuMV-infected plants. Multiple infection was frequent in TuMV-infected leaves, suggesting that TuMV facilitates multiple infection, probably by suppressing host RNA silencing. Revealing hidden plant–virus interactions in nature can enhance our understanding of biological interactions and may have agricultural applications.

opencc-zeroDec 2015View details →
zenodo32/100

Structural 3D domain reconstruction of the RNA genome from viruses from a secondary structure model

<p>Fragments and final models of reconstructed STMV genome from in virio and in vitro secondary structures reported in Larman et al. (2017).</p> <p>Simulation scripts for simulations of genome and fragments.</p> <p>Full code of SPQR package for performing simulations.</p>

opencc-by-4.0Jun 2021View details →
zenodo32/100

Nanopore Sequencing of Double-Stranded RNA (dsRNA) for Plant Virus and Viroid Detection

<p>Thi file contain results of 24&nbsp;grapevines leaf samples analyzed using dsRNA-MiSeq (Illumina Miseq) and dsRNAcD sequencing (ONT nanopore), that were used in the following article &#39;&#39;<strong>Nanopore Sequencing of Double-Stranded RNA (dsRNA) for Plant Virus and Viroid Detection&#39;&#39;&nbsp;</strong> submitted in Frontiers in Microbiology&nbsp;</p>

opencc-by-4.0Mar 2023View details →
ClinicalTrials.gov32/100

Intrahepatic HCV RNA and Telaprevir Kinetics in Hepatitis C Virus (HCV)

ClinicalTrials.gov study NCT00892697. IPD Sharing: Not stated. Countries: 0. Publications: 2.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Evaluation Viral RNA and Virus Infectivity in Exhaled Air Before and After Use of One Dose With ColdZyme Mouth Spray

ClinicalTrials.gov study NCT07041671. IPD Sharing: YES. Countries: 1. Publications: 1.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov32/100

PREVAIL VI: Identification of Host Genetic Factors Underlying Ebola Virus Disease Risk, Mortality, Long-term Sequelae, Viral RNA Persistence, Humoral Immunity, and Ebola Vaccine Response

ClinicalTrials.gov study NCT03098862. IPD Sharing: Not stated. Countries: 1. Publications: 3.

restrictedIPD-UNDECIDEDFeb 2026View details →
dryad32/100

ZAP affects Zika virus RNA interactome - Table S1-ChIRP-MS data

Open the record for dataset details and reuse information.

publicJul 2024View details →
dryad32/100

Data from: RNA-Seq reveals virus–virus and virus–plant interactions in nature

Open the record for dataset details and reuse information.

publicAug 2017View details →
dryad32/100

Data from: Re-assessing the diversity of negative strand RNA viruses in insects

Open the record for dataset details and reuse information.

publicDec 2019View details →
dryad32/100

ZAP affects Zika virus RNA interactome- supplemental datasets 1 and 2

Open the record for dataset details and reuse information.

publicJul 2024View details →
dryad32/100

Data from: Distinct spread of DNA and RNA viruses among mammals amid prominent role of domestic species

Open the record for dataset details and reuse information.

publicMar 2020View details →
dryad28/100

Data from: Revised time scales of RNA virus evolution based on spatial information

The time scales of pathogen evolution are of major concern in the context of public and veterinary health, epidemiology and evolutionary biology. Dating the emergence of a pathogen often relies on estimates of evolutionary rates derived from nucleotide sequence data. For many viruses, this has yielded estimates of evolutionary origins only a few hundred years in the past. Here we demonstrate through the incorporation of geographic information from virus sampling that evolutionary age estimates of two European hantaviruses are severely underestimated because of pervasive mutational saturation of nucleotide sequences. We detected very strong relationships between spatial distance and genetic divergence for both Puumala and Tula hantavirus – irrespective whether nucleotide or derived amino acid sequences were analyzed. Extrapolations from these relationships dated the emergence of these viruses most conservatively to at least 3,700 and 2,500 years ago, respectively. Our minimum estimates for the age of these hantaviruses are ten to a hundred times older than results from current non-spatial methods and in much better accordance with the biogeography of these viruses and their respective hosts. Spatial information can thus provide valuable insights on the deeper time scales of pathogen evolution and improve our understanding of disease emergence.

opencc-zeroDec 2016View details →
dryad28/100

Data from: A new plant virus discovered by immunocapture of double stranded RNA; assessment of a novel approach for viral metagenomics studies

Next-generation sequencing technologies enable the rapid identification of viral infection of diseased organisms. However, despite a consistent decrease in sequencing costs, it is difficult to justify their use in large-scale surveys without a virus sequence enrichment technique. As the majority of plant viruses have an RNA genome, a common approach is to extract the double-stranded RNA (dsRNA) replicative form, to enrich the replicating virus genetic material over the host background. The traditional dsRNA extraction is time-consuming and labour-intensive. We present an alternative method to enrich dsRNA from plant extracts using anti-dsRNA monoclonal antibodies in a pull-down assay. The extracted dsRNA can be amplified by reverse transcriptase–polymerase chain reaction and sequenced by next-generation sequencing. In our study, we have selected three distinct plant hosts: Māori potato (Solanum tuberosum), rengarenga (Arthropodium cirratum) and broadleaved dock (Rumex obtusifolius) representing a cultivated crop, a New Zealand-native ornamental plant and a weed, respectively. Of the sequence data obtained, 31–74% of the reads were of viral origin, and we identified five viruses including Potato virus Y and Potato virus S in potato; Turnip mosaic virus in rengarenga (a new host record); and in the dock sample Cherry leaf roll virus and a novel virus belonging to the genus Macluravirus. We believe that this new assay represents a significant opportunity to upscale virus ecology studies from environmental, primary industry and/or medical samples.

opencc-zeroDec 2015View details →
dryad28/100

Data from: Dynamics of molecular evolution in RNA virus populations depend on sudden versus gradual environmental change

Understanding the dynamics of molecular adaptation is a fundamental goal of evolutionary biology. While adaptation to constant environments has been well characterized, the effects of environmental complexity remain seldom studied. One simple but understudied factor is the rate of environmental change. Here we used experimental evolution with RNA viruses to investigate whether evolutionary dynamics varied based on the rate of environmental turnover. We used whole-genome next-generation sequencing to characterize evolutionary dynamics in virus populations adapting to a sudden versus gradual shift onto a novel host cell type. In support of theoretical models, we found that when populations evolved in response to a sudden environmental change, mutations of large beneficial effect tended to fix early, followed by mutations of smaller beneficial effect; as predicted, this pattern broke down in response to a gradual environmental change. Early mutational steps were highly parallel across replicate populations in both treatments. The fixation of single mutations was less common than sweeps of associated "cohorts" of mutations, and this pattern intensified when the environment changed gradually. Additionally, clonal interference appeared stronger in response to a gradual change. Our results suggest that the rate of environmental change is an important determinant of evolutionary dynamics in asexual populations.

opencc-zeroDec 2016View details →
dryad28/100

Data from: Magnitude and sign epistasis among deleterious mutations in a positive-sense plant RNA virus

How epistatic interactions between mutations determine the genetic architecture of fitness is of central importance in evolution. The study of epistasis is particularly interesting for RNA viruses because of their genomic compactness, lack of genetic redundancy, and apparent low complexity. Moreover, interactions between mutations in viral genomes determine traits such as resistance to antiviral drugs, virulence and host range. In this study we generated 53 Tobacco etch potyvirus genotypes carrying pairs of single-nucleotide substitutions and measured their separated and combined deleterious fitness effects. We found that up to 38% of pairs had significant epistasis for fitness, including both positive and negative deviations from the null hypothesis of multiplicative effects. Interestingly, the sign of epistasis was correlated with viral protein–protein interactions in a model network, being predominantly positive between linked pairs of proteins and negative between unlinked ones. Furthermore, 55% of significant interactions were cases of reciprocal sign epistasis (RSE), indicating that adaptive landscapes for RNA viruses maybe highly rugged. Finally, we found that the magnitude of epistasis correlated negatively with the average effect of mutations. Overall, our results are in good agreement to those previously reported for other viruses and further consolidate the view that positive epistasis is the norm for small and compact genomes that lack genetic robustness.

opencc-zeroDec 2011View details →
dryad28/100

Data from: Rate of novel host invasion affects adaptability of evolving RNA virus lineages

Although differing rates of environmental turnover should be consequential for the dynamics of adaptive change, this idea has been rarely examined outside of theory. In particular, the importance of RNA viruses in disease emergence warrants experiments testing how differing rates of novel host invasion may impact the ability of viruses to adaptively shift onto a novel host. To test whether the rate of environmental turnover influences adaptation, we experimentally evolved 144 Sindbis virus lineages in replicated tissue-culture environments, which transitioned from being dominated by a permissive host cell type to a novel host cell type. The rate at which the novel host 'invaded' the environment varied by treatment. The fitness (growth rate) of evolved virus populations was measured on each host type, and molecular substitutions were mapped via whole genome consensus sequencing. Results showed that virus populations more consistently reached high fitness levels on the novel host when the novel host 'invaded' the environment more gradually, and gradual invasion resulted in less variable genomic outcomes. Moreover, virus populations that experienced a rapid shift onto the novel host converged upon different genotypes than populations that experienced a gradual shift onto the novel host, suggesting a strong effect of historical contingency.

opencc-zeroDec 2014View details →
dryad28/100

Data from: miR-122, small RNA annealing and sequence mutations alter the predicted structure of the Hepatitis C virus 5′ UTR RNA to stabilize and promote viral RNA accumulation

Annealing of the liver-specific microRNA, miR-122, to the Hepatitis C virus (HCV) 5′ UTR is required for efficient virus replication. By using siRNAs to pressure escape mutations, 30 replication-competent HCV genomes having nucleotide changes in the conserved 5′ untranslated region (UTR) were identified. In silico analysis predicted that miR-122 annealing induces canonical HCV genomic 5′ UTR RNA folding, and mutant 5′ UTR sequences that promoted miR-122-independent HCV replication favored the formation of the canonical RNA structure, even in the absence of miR-122. Additionally, some mutant viruses adapted to use the siRNA as a miR-122-mimic. We further demonstrate that small RNAs that anneal with perfect complementarity to the 5′ UTR stabilize and promote HCV genome accumulation. Thus, HCV genome stabilization and life-cycle promotion does not require the specific annealing pattern demonstrated for miR-122 nor 5′ end annealing or 3′ overhanging nucleotides. Replication promotion by perfect-match siRNAs was observed in Ago2 knockout cells revealing that other Ago isoforms can support HCV replication. At last, we present a model for miR-122 promotion of the HCV life cycle in which miRNA annealing to the 5′ UTR, in conjunction with any Ago isoform, modifies the 5′ UTR structure to stabilize the viral genome and promote HCV RNA accumulation.

opencc-zeroDec 2017View details →
dryad28/100

Data from: Generalized selection to overcome innate immunity selects for host breadth in an RNA virus

Virus-host co-evolution has selected for generalized host defense against viruses, exemplified by interferon production/signaling and other innate immune function in eukaryotes such as humans. Although cell-surface binding primarily limits virus infection success, generalized adaptation to counteract innate immunity across disparate hosts may contribute to RNA virus emergence potential. We examined this idea using vesicular stomatitis virus (VSV) populations prevoously evolved on strictly immune deficient (HeLa) cells, strictly immune competent (MDCK) cells, or on alternating deficient/competent cells. By measuring viral fitness in unselected human cancer cells of differing innate immunity, we confirmed that HeLa-adapted populations were specialized for innate immune-deficient hosts, whereas MDCK-adapted populations were relatively more generalized for fitness on hosts of differing innate immune capacity and of different species origin. We also confirmed that HeLa-evolved populations maintained fitness in immune-deficient non-human primate cells. These results suggest that innate immunity is more prominent than host species in determining viral fitness at the host-cell level. Finally, our prediction was inexact that selection on alternating deficient/competent hosts should produce innate viral generalists. Rather, fitness differences among alternating host-evolved VSV populations indicated variable capacities to evade innate immunity. Our results suggest that the evolutionary history of innate immune selection can affect whether RNA viruses evolve greater host-breadth.

opencc-zeroDec 2014View details →

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Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record