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29 results for “viral diversity”
Deep-sequencing of viral genomes from treatment-naive HIV-infected persons shows positive association between intrahost genetic diversity and viral load
<p><strong><span>Background:</span></strong><span> Infection with human immunodeficiency virus type 1 (HIV) typically results from transmission of a small and genetically uniform viral population. Following transmission, the virus population becomes more diverse because of recombination and acquired mutations through genetic drift and selection. Viral intrahost genetic diversity remains a major obstacle to the cure of HIV; however, there is a disagreement whether intrahost viral genetic diversification associates positively or negatively with disease progression and progression markers. Viral load is a key progression marker and understanding its relationship to viral intrahost genetic diversity could help design future strategies for HIV monitoring and treatment.</span></p> <p><span><strong>Methods:</strong> </span><span>We analyzed deep-sequenced viral genomes from 2,650 treatment-naive HIV-infected persons to measure the intrahost genetic diversity of 2,447 genomic codon positions as calculated by Shannon entropy. We tested for associations between viral load (VL) and amino acid (AA) entropy accounting for sex, age, race, duration of infection, and HIV population structure.</span></p> <p><strong><span>Results:</span></strong><span><strong> </strong>We confirmed that the intrahost genetic diversity is highest in the <em>env</em> gene. Furthermore, we showed that mean Shannon entropy is significantly associated with VL, especially in infections of >24 months duration. We identified 16 significant associations between VL (p-value<2.0x10<sup>-5</sup>) and Shannon entropy at AA positions which in our association analysis explained 13% of the variance in VL.</span></p> <p><strong><span>Conclusions: </span></strong><span>Our results elucidate that viral intrahost genetic diversity is associated with VL and could be used as a better disease progression marker than HIV consensus sequence variants, especially in infections of longer duration. We emphasize that viral intrahost diversity should be considered when studying viral genomes and infection outcomes.</span></p>
The first arriving virus shapes within-host viral diversity during natural epidemics
Viral diversity has been discovered across scales from host individuals to populations. However, the drivers of viral community assembly are still largely unknown. Within-host viral communities are formed through coinfections, where the interval between the arrival times of viruses may vary. Priority effects describe the timing and order in which species arrive in an environment, and how early colonizers impact subsequent community assembly. To study the effect of the first-arriving virus on subsequent infection patterns of five focal viruses, we set up a field experiment using naïve Plantago lanceolata plants as sentinels during a seasonal virus epidemic. Using joint species distribution modelling, we find both positive and negative effects of early season viral infection on late season viral colonization patterns. The direction of the effect depends on both the host genotype and which virus colonized the host early in the season. It is well-established that co-occurring viruses may change the virulence and transmission of viral infections. However, our results show that priority effects may also play an important, previously unquantified role in viral community assembly. The assessment of these temporal dynamics within a community ecological framework will improve our ability to understand and predict viral diversity in natural systems.
Deep-sequencing of viral genomes from treatment-naive HIV-infected persons shows positive association between intrahost genetic diversity and viral load
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The first arriving virus shapes within-host viral diversity during natural epidemics
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Data from: Diversity and composition of viral communities: coinfection of barley and cereal yellow dwarf viruses in California grasslands 2000 - 2005
Most species host multiple pathogens, yet field studies rarely examine the processes determining pathogen diversity within a single host or the effects of coinfection on pathogen dynamics in natural systems. Coinfection can affect pathogen transmission and virulence. In turn, coinfection can be regulated within hosts by interactions such as cross-protective immunity or at broader spatial scales via vector distributions. Using a general model, we demonstrate that coinfection by a group of vectored pathogens is highest with abundant generalist vectors and weak cross-protection and coinfection- induced mortality. Using these predictions, we investigate the distribution of five coexisting aphid-vectored, viral pathogens (barley and cereal yellow dwarf luteoviruses and poleroviruses) in a native perennial grass (Elymus glaucus) in both space (700 km) and time (4 years). Observed coinfection rates were much higher than expected at random, suggesting that within-host processes exerted weak effects on within-host pathogen diversity. Covariance among viruses in space and time was highest for viral species sharing a vector. Temporal correlation arose from the synchronous invasion of two viruses transmitted by a shared aphid species. On the basis of our modeling and empirical results, we expect that factors external to individual hosts may affect the coinfection dynamics in other communities hosting vectored pathogens.
Viral diversity and co-evolutionary dynamics across the ant phylogeny
<p>This repository contains the alignment file and phylogeny of every viral clade assessed in this study. The viral phylogenies are in Newick format as well as a pdf and contain bootstrap values greater than 50. The alignment files are in PHYLIP format. Additionally, this repository contains nucleotide sequences of every viral sequence identified in this study and it is entitled: "final_viruses_contigs.fasta" in fasta format. </p>
Data from: Diversity and composition of viral communities: coinfection of barley and cereal yellow dwarf viruses in California grasslands
Most species host multiple pathogens, yet field studies rarely examine the processes determining pathogen diversity within a single host or the effects of coinfection on pathogen dynamics in natural systems. Coinfection can affect pathogen transmission and virulence. In turn, coinfection can be regulated within hosts by interactions such as cross-protective immunity or at broader spatial scales via vector distributions. Using a general model, we demonstrate that coinfection by a group of vectored pathogens is highest with abundant generalist vectors and weak cross-protection and coinfection- induced mortality. Using these predictions, we investigate the distribution of five coexisting aphid-vectored, viral pathogens (barley and cereal yellow dwarf luteoviruses and poleroviruses) in a native perennial grass (Elymus glaucus) in both space (700 km) and time (4 years). Observed coinfection rates were much higher than expected at random, suggesting that within-host processes exerted weak effects on within-host pathogen diversity. Covariance among viruses in space and time was highest for viral species sharing a vector. Temporal correlation arose from the synchronous invasion of two viruses transmitted by a shared aphid species. On the basis of our modeling and empirical results, we expect that factors external to individual hosts may affect the coinfection dynamics in other communities hosting vectored pathogens.
Data from: Diversity and composition of viral communities: coinfection of barley and cereal yellow dwarf viruses in California grasslands
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Data for "Analysis of metagenome-assembled viral genomes from the human gut reveals diverse putative CrAss-like phages with unique genomic features"
<p>Data for "Analysis of metagenome-assembled viral genomes from the human gut reveals diverse putative CrAss-like phages with unique genomic features" (submitted to Nature Communications)</p>
Seasonal Variations of Microbial Communities and Viral Diversity in Fishery-Enhanced Marine Ranching Sediments: Insights into Metabolic Potentials and Ecological Interactions
<p>Sediment samples were collected in four seasons from May 2022 to January 2023 from the Tian coastal marine ranching (36°91′ N and 122°15′ E) located along Jinghai Bay in Weihai City, Shandong Province, China. We employed amplicon (16S and 18S) and metagenomic approaches aiming to reveal the seasonal patterns of microbial communities, bacterial-eukaryotic interactions, whole metabolic potential, and their coupling mechanisms with carbon (C), nitrogen (N), and sulfur (S) cycling in marine ranching sediments. Additionally, the characterization and diversity of viral communities in different seasons were explored in marine ranching sediments. This dataset mainly includes amplicon sequencing (16S and 18S) generated ASV tables (after rarefied), corresponding taxonomic classification tables, metagenome assembly (Single assembly and Co-assembly), <span>metagenome-assembled genomes (MAGs)</span> sequences, and <span>viral operational taxonomic units (vOTUs)</span> sequences.</p>
Monkeypox virus emergence in wild chimpanzees reveals distinct clinical outcomes and viral diversity
<p>Here we provide the 14 annotated monkeypox virus genomes detected in wild chimpanzees living in Tai National Park in 2017 and 2018.</p>
Data from: Evolution and diversity of the Microviridae viral family through a collection of 81 new complete genomes assembled from virome reads.
Recent studies suggest that members of the Microviridae (a family of ssDNA bacteriophages) might play an important role in a broad spectrum of environments, as they were found dominant among the viral fraction from seawater and human gut samples. 24 completely sequenced Microviridae have been described so far, divided into three distinct groups named Microvirus, Gokushovirinae and Alpavirinae, this last group being only composed of prophages. In this study, we present the analysis of 81 new complete Microviridae genomes, assembled from viral metagenomes originating from various ecosystems. The phylogenetic analysis of the core genes concludes to the existence of four groups, confirming the three sub-families described so far and exhibiting a new group, named Pichovirinae. The genomic organizations of these viruses are strikingly coherent with their phylogeny, the Pichovirinae being the only group of this family with a different organization of the three core genes. Analysis of the structure of the major capsid protein reveals the presence of mushroom-like insertions conserved within all the groups except for the Microvirus. In addition, a peptidase gene was found in 11 Microviridae and its analysis concludes to a horizontal gene transfer that occurred several times between these viruses and their bacterial hosts. This is the first report of such gene transfer in microviruses. Finally, searches against viral metagenomes revealed the presence of highly similar sequences in a variety of biomes indicating that Microviridae probably have both an important role in these ecosystems and an ancient origin.
Figure 1 in Density and diversity of Culicidae (Diptera), with analysis of viral circulation, in urban public establishments in Northern Paraná, Brazil
Figure 1 Geographical location of the study area, demonstrating the sample collection sites, carried out between January and September 2019, in the urban area of the municipality of Londrina, Paraná, Brazil.
Data from: Evolution and diversity of the Microviridae viral family through a collection of 81 new complete genomes assembled from virome reads.
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The influence of bat ecology on viral diversity and reservoir status
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Visualizing active viral infection reveals diverse cell fates in synchronized algal bloom demise
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Single-cell transcriptome profiling reveals diverse immune cell populations and their responses to viral infection in the spleen of zebrafish
GEO Series GSE211396. Danio rerio. 3 samples. Type: Expression profiling by high throughput sequencing.
Apoptosis, Toll-like, RIG-I-like and NOD-like receptors are pathways jointly induced by diverse respiratory bacterial and viral pathogens
GEO Series GSE88825. Mus musculus. 91 samples. Type: Expression profiling by array.
Dicer-2 processes diverse viral RNA species
GEO Series GSE28957. Drosophila melanogaster. 24 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Inhibitors of the histone methyltransferases EZH2/1 induce a potent antiviral state and suppress infection by diverse viral pathogens [RNA-Seq]
GEO Series GSE99839. Mus musculus; Homo sapiens. 30 samples. Type: Expression profiling by high throughput sequencing.
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.
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.