Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
128
datasets available to search
ShareScore release 0.9.0
Dataset results
128 results for “Plant viruses”
Within-plant coexistence of viruses across nitrogen and phosphorus supply rates
Most species can be coinfected by multiple pathogens that may interact through shared resources (i.e., resource competition) or the host immune system (i.e., apparent competition). Community theory developed for free-living organisms suggests that coinfecting pathogens can persist if they satisfy the mutual invasion criterion of coexistence, establishing infections in hosts that are already infected. Furthermore, the likelihood of coexistence may depend on host nutrition which can affect shared resources and host immunity. Here we apply the novel approach of combining a dynamical model and experimental mutual invasibility trials to explore the effects of host nutrient supply on the coexistence of two viral plant pathogens. We focus on among-pathogen interactions mediated by shared resources. First, we used a model to generate hypotheses about how nitrogen (N) and phosphorus (P) supply rates affect the ability of two plant viruses to invade established infections of the other virus. Then, we experimentally manipulated the N and P supplied to oats (Avena sativa) in a growth chamber experiment and tested mutual invasion of two RNA viral pathogens, BYDV-PAV and CYDV-RPV. Nutrient supplies ranged from rates that barely kept hosts alive up to high, but sub-toxic, rates. Model simulations suggested that the viruses were more likely to invade established infections either when they could replicate at lower N and P concentrations or when plant N and P concentrations increased due to a combination of nutrient supply rates and resident virus nutrient use. In the experiment, each virus successfully invaded hosts infected by the other and had consistent growth rates across N and P supply rates. Our results suggest that BYDV-PAV and CYDV-RPV can coexist across a wide range environmental nutrient supply, which is consistent with the high levels of co-occurrence of these two viruses in field populations.
VirHunter: a deep learning-based method for detection of novel RNA viruses in plant sequencing data
<p>This storage contains 2 archives: toy datasets to test the training of the VirHunter and weights of the fully trained VirHunter models for 3 host species (peach, grapevine, sugar beet) and for fragment sizes 500 and 1000. .</p> <p>The toy dataset consists of 3 archived files: 'viruses.fasta', 'host.fasta', 'bacteria.fasta'.</p> <p>'viruses.fasta' contains 10000 randomly selected plant viruses from the virus dataset described in the paper.</p> <p>'host.fasta' consists of peach chromosome 2.</p> <p>'bacteria.fasta' consists of 10 bacterial genomes selected randomly: GCF_000284415, GCF_000590555, GCF_001548055, GCF_002795265, GCF_003330825, GCF_003957805, GCF_005845345, GCF_009176625, GCF_010748935, GCF_014681765</p> <p> </p>
Soil nitrogen and phosphorus effects on plant virus density, transmission, and species interactions
This data package includes data and code from an experiment testing the effects of nitrogen and phosphorus addition on interactions between two grass viruses (BYDV-PAV and CYDV-RPV). Data include virus density within oats (Avena sativa) and transmission of viruses to a second set of oats. Data were collected by Amy E. Kendig and collaborators between February 2014 and August 2014 at the University of Minnesota in St. Paul Minnesota, USA. Experiments were performed in growth chambers, virus density data were obtained using one-step reverse transcription-quantitative polymerase chain reaction (RT-qPCR), and transmission data were obtained using RT-PCR. The code includes statistical analyses and figures. Model objects created through statistical analyses are also included. The code was run using R (version 3.5.2).
Dataset underlying the study "Enhanced Susceptibility to Tomato Chlorosis Virus (ToCV) in Hsp90- and Sgt1-Silenced Plants: Insights from Gene Expression Dynamics"
<p>This dataset is underlying the scientific publication titled "Enhanced Susceptibility to Tomato Chlorosis Virus (ToCV) in Hsp90- and Sgt1-Silenced Plants: Insights from Gene Expression Dynamics", published in the <a href="https://www.mdpi.com/1999-4915/15/12/2370">Viruses</a> journal. </p><p>The dataset includes a time-course transcriptome analysis using RNA-seq of naïve (no whitefly and no virus), mock (non-viruliferous whiteflies) and ToCV (ToCV_viruliferous whiteflies)-treated tomato samples at 2, 7, and 14 days post-infection (dpi) and viral small RNAs derived from Tomato plants infected with ToCV at 14 dpi. The dataset provided here has been deposited in full by the authors in the European Nucleotide Archive (ENA) at EMBL-EBI under accession number PRJEB67704 (<a href="https://www.ebi.ac.uk/ena/browser/view/PRJEB67704"><strong>https://www.ebi.ac.uk/ena/browser/view/PRJEB67704</strong></a><br><br>The provided information in the dataset are further discussed and interpreted in detail, as well as their subsequent results, in the scientific publication.</p><p>This research was conducted within the VIRTIGATION project, which is part of the EU Open Research Data pilot. This project has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement No. 101000570.</p>
Data from: Virus infection and host plant suitability affect feeding behaviors of cannabis aphid (Hemiptera: Aphididae), a newly described vector of potato virus Y
<p>Aphids are the most prolific vectors of plant viruses resulting in significant yield losses to crops worldwide. P<span>otato virus Y (PVY) </span>is transmitted in a non-persistent manner by 65 species of aphids. <span>With the increasing acreage of hemp </span>(<i>Cannabis sativa</i> L.) (Rosales: Cannabaceae) <span>in the U.S, we were interested to know if the cannabis aphid (<i>Phorodon cannabis</i> Passerini) </span><span>(Hemiptera: Aphididae) </span><span>is a potential vector of PVY.</span> Here, we conduct transmission assays and utilize the electrical penetration graph (EPG) technique to determine whether cannabis aphids can transmit PVY to hemp (host) and potato (non-host) (<i>Solanum tuberosum</i> L.) (Solanales: Solanaceace). We show for the first time that the cannabis aphid is an efficient vector of PVY to hemp (96%) and potato (91%) using cohorts of aphids. In contrast, individual aphids transmitted the virus more efficiently to hemp (63%) compared to potato (19%). During the initial 15 minutes of EPG recordings, aphids demonstrated lower number and time spent performing intracellular punctures on potato compared to hemp, which may in part explain low virus transmission to potato using individual aphids. During the entire 8-hour recording, viruliferous aphids spent less time ingesting phloem compared to non-viruliferous aphids on hemp. This reduced host suitability could potentially cause aphids to disperse to more suitable hosts thereby increasing virus transmission. Overall, our study shows that cannabis aphid is an efficient vector of PVY, and that virus infection and host plant suitability affect feeding behaviors of the cannabis aphid in ways which may increase virus transmission.</p>
Host developmental stages shape the evolution of a plant RNA virus
<p>Datasets used in the generation of figures 1 and 2 of:</p> <p>Melero, I., González, R., Elena, S.F. 2022. Host developmental stages shape the evolution of a plant RNA Virus. Philos. Trans. R. Soc. B doi: 10.1098/rtsb.2022.0005</p>
Figure 9 in Evaluation of the Chilli veinal mottle virus CP gene expressing transgenic Nicotiana benthamiana plants for disease resistance against the virus
Figure 9. ELISA plate readings (O.D at 405nm) of leaf samples of transgenic lines (T1-T8) and control plants after 15 dpi.
Figure 7 in Evaluation of the Chilli veinal mottle virus CP gene expressing transgenic Nicotiana benthamiana plants for disease resistance against the virus
Figure 7. PCR Products of the hpt gene from T0 transgenic plants. Lane 1-9 are transgenic. Lane 10, +ve control. Lane 11, control (untransformed) plant.
Figure 6. DNA bands from T0 in Evaluation of the Chilli veinal mottle virus CP gene expressing transgenic Nicotiana benthamiana plants for disease resistance against the virus
Figure 6. DNA bands from T0 transgenic and Agro-infilterated plants. Lane 1-10, transgenic plants. Lane 11-13, agro-infilterated plants.
Figure 3 in Evaluation of the Chilli veinal mottle virus CP gene expressing transgenic Nicotiana benthamiana plants for disease resistance against the virus
Figure 3. Symptoms development on propagative host plants after mechanical inoculation with ChiVMV isolate ATIPK. (a) N. tabacum showing mosaic, mottling and vein clearing (b) C. annum (cv. Loungi) displays the symptoms of mottling, mosaic, leaf deformation and vein clearing.
Figure 2 in Evaluation of the Chilli veinal mottle virus CP gene expressing transgenic Nicotiana benthamiana plants for disease resistance against the virus
Figure 2. Symptoms of ChiVMV on chilli leaves collected from Islamabad. (a) Shows mottling and severe vein clearing and distortion. (b) Shows reduced leaf size with mottling and distortion.
A plant virus differentially alters DNA methylation in two cryptic species of a hemipteran vector
<p>This study investigated DNA methylation patterns in two cryptic species (B and Q) of the sweet potato whitefly, <em>Bemisia tabaci</em> (Gennadius), following the acquisition of the tomato yellow curl virus, a single-stranded DNA virus. The methylation levels in genomic features such as promoters, gene bodies, and transposable elements in both cryptic species were described in this study. While overall trends were found to be similar, specific differences in methylation levels were observed. Virus-induced differentially methylated regions (DMRs) were associated with different genes in each cryptic species and were negatively correlated with differential gene expression. These DMRs were analyzed for changes in gene expression and alternative splicing, revealing clusters of hyper- and hypomethylated genes related to virus-vector interactions, immune functions, and detoxification processes. These methylation differences may help explain the distinct biological and physiological traits observed between the B and Q cryptic species.</p>
K-mer databases of plant virus sequences for use with the Kodoja workflow
<p><strong>Details</strong></p> <p>This is a gzipped tar file that includes the plant virus database files required to run the Kodoja workflow (https://github.com/abaizan/kodoja)[1]. Kodoja is a workflow for the detection of plant virus sequences in RNA-seq data files that uses two previoulsy published tools Kraken[2] and Kaiju[3].</p> <p>This file contains databases for Kraken [2] and Kaiju [3]. The file includes the kraken database files: database.idx, database.kdb, nodes.dmp, names.dmp and the kaiju database file kaij_library.fmi.</p> <p>These k-mer databases are based on virus sequences in RefSeq [4] (ttps://www.ncbi.nlm.nih.gov/refseq/) with plant hosts as defined in the Virus-Host Database [5] (https://www.genome.jp/virushostdb/).</p> <p><strong>Version</strong><strong> 1.0</strong></p> <p>kodojaDB_v1.0 is based on RefSeq v89 and the Virus-Host Database (accessed 03/09/2018 which is based on RefSeq 89 and Genbank 226.0). The viral partition of RefSeq v89 genome comprises 7946 viruses (ftp://ftp.ncbi.nlm.nih.gov/genomes/refseq/viral/assembly_summary.txt).</p> <p>kodojaDB_v1.0 was created using kodoja_retrieve.py which is part of the kodoja workflow (v0.05) (https://github.com/abaizan/kodoja).</p> <p><strong>References</strong></p> <p>[1] Baizan-Edge, A, Cock, P, MacFarlane, S, McGavin, W, Torrance, T, Jones, S. Kodoja: A workflow for virus detection in plants using k-mer analysis of RNA-sequencing data (under review Nucleic Acids Research). </p> <p>[2] Wood,D.E. and Salzberg,S.L. (2014) Kraken: ultrafast metagenomic sequence classification using exact alignments. <em>Genome Biol.</em>, <strong>15</strong>, R46</p> <p>[3] Menzel,P., Ng,K.L. and Krogh,A. (2016) Fast and sensitive taxonomic classification for metagenomics with Kaiju. <em>Nat. Commun.</em>, <strong>7</strong>, 1–9.</p> <p>[4] O’Leary,N.A., Wright,M.W., Brister,J.R., Ciufo,S., Haddad,D., McVeigh,R., Rajput,B., Robbertse,B., Smith-White,B., Ako-Adjei,D., <em>et al.</em> (2016) Reference sequence (RefSeq) database at NCBI: Current status, taxonomic expansion, and functional annotation. <em>Nucleic Acids Res.</em>, <strong>44</strong>, D733–D745.</p> <p>[5] Mihara,T., Nishimura,Y., Shimizu,Y., Nishiyama,H., Yoshikawa,G., Uehara,H., Hingamp,P., Goto,S. and Ogata,H. (2016) Linking virus genomes with host taxonomy. <em>Viruses</em>, <strong>8</strong>, 10–15</p>
Fig. 3 in Odorant-binding protein 2 is involved in the preference of Sogatella furcifera (Hemiptera: Delphacidae) for rice plants infected with the Southern rice black-streaked dwarf virus
Fig. 3. Effects of RNAi of SfurOBP-2 or -11 on the preferences of S. furcifera for healthy, virus-infected rice plants or air (empty pot with soil). The data of nonresponding insects were given on the right of the bar in the figure. Double asterisks indicate statistically significant difference (chi-square test: **P <0.01), NS indicates no significant difference. (A) S. furcifera choice tests between healthy or infected rice plants afer injection of dsRNA or water (Control); (B) S. furcifera choice tests between healthy rice plants or air afer injection of dsRNA or water (Control); (C) S. furcifera choice tests between virus-infected rice plants or air afer injection of dsRNA or water (control).
Fig. 2 in Odorant-binding protein 2 is involved in the preference of Sogatella furcifera (Hemiptera: Delphacidae) for rice plants infected with the Southern rice black-streaked dwarf virus
Fig. 2. Detection of the mRNA levels afer RNA interference. The histogram bars represent mean ± SE of 3 biological replicates. Different letters above bars indicate significant differences (1-way ANOVA: P <0.01). (A) mRNA levels of SfurOBP2 in S. furcifera injected with different dsRNA. RNase-free water injection (Control), EGFP-dsRNA (dsEGFP), SfurOBP2-dsRNA (dsOBP2). (B) mRNA levels of SfurOBP11 in S. furcifera injected with different dsRNA. RNase-free water injection (control), EGFP-dsRNA (dsEGFP), SfurOBP11-dsRNA (dsOBP11).
Fig. 1 in Odorant-binding protein 2 is involved in the preference of Sogatella furcifera (Hemiptera: Delphacidae) for rice plants infected with the Southern rice black-streaked dwarf virus
Fig. 1. Expression profiles of SfurOBP2 and SfurOBP11 in the antennae of virusfree and viruliferous S. furcifera. VFA: virus-free antennae; VIA: virus-infected antennae. The histogram bars represent mean ± SE of 3 biological replicates. Asterisk above bars indicate significant differences (t-test: *P <0.05, **P <0.01).
Linked collectors and determiners for: Plant Virus Italy - CNR-IPSP collection in Turin (PLAVIT-01).
Natural history specimen data linked to collectors and determiners held within, "Plant Virus Italy - CNR-IPSP collection in Turin (PLAVIT-01)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/4f929122-4e6e-4b51-8647-c6b947c038d1">https://bionomia.net/dataset/4f929122-4e6e-4b51-8647-c6b947c038d1</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/4f929122-4e6e-4b51-8647-c6b947c038d1">https://gbif.org/dataset/4f929122-4e6e-4b51-8647-c6b947c038d1</a>. Formatted as a Frictionless Data package.
Datasets related to agroinoculation and transmission experiments with Tomato Leaf Curl New Delhi Virus Spain Strain between zucchini cv. Milenio and Ecballium elaterium plants by Trialeurodes vaporariorum and Bemisia tabaci MED whiteflies
<p>These datasets support the data provided directly in the scientific publication titled "Tomato Leaf Curl New Delhi Virus Spain Strain Is Not Transmitted by Trialeurodes vaporariorum and Is Inefficiently Transmitted by Bemisia tabaci Mediterranean between Zucchini and the Wild Cucurbit Ecballium elaterium", published in the <a href="https://www.mdpi.com/2075-4450/14/4/384">Insects journal</a>. </p> <p>The figure included in the datasets highlights agroinoculation experiments with tomato leaf curl New Delhi virus Spain strain using different source plant–target plant–whitefly species combinations. ToLCNDV (DNA-A and DNA-B) was detected by molecular hybridization after tissue printing on nylon membranes using specific digoxigenin-labelled DNA probes for each viral component. (<strong>A</strong>) Prints of zucchini plants inoculated using Trialeurodes vaporariorum (T. v.) or Bemisia tabaci MED (B. t.) as a vector and infected zucchini plants as the virus source. (<strong>B</strong>) Prints of Ecballium elaterium plants using B. t. as a vector and infected zucchini plants as the virus source. (<strong>C</strong>) Prints of zucchini plants using B. t. as a vector and infected E. elaterium plants as the virus source. Blots from one of the two independent experiments (Experiment 1 in the Table) carried out for each source plant–target plant–whitefly species combination are shown. Prints of ToLCNDV-infected zucchini plants included as positive controls are outlined with red squares.</p> <p>The table included in the datasets show the results of transmission experiments of tomato leaf curl New Delhi virus Spain strain between zucchini cv. Milenio and Ecballium elaterium plants by Trialeurodes vaporariorum and Bemisia tabaci MED. Infection was determined by tissue-printing and molecular hybridization with digoxigenin-labelled ToLCNDV DNA-A and DNA-B probes. Blots from experiment (Exp.) 1 of each source plant–target plant–whitefly species combination are shown in the Figure.</p> <p>The provided datasets are further discussed and interpreted in detail, as well as their subsequent results, in the scientific publication.</p> <p>This research was conducted within the VIRTIGATION project, which is part of the EU Open Research Data pilot. This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No. 101000570.</p>
Data from: Virus infection and host plant suitability affect feeding behaviors of cannabis aphid (Hemiptera: Aphididae), a newly described vector of potato virus Y
Open the record for dataset details and reuse information.
A plant virus differentially alters DNA methylation in two cryptic species of a hemipteran vector
Open the record for dataset details and reuse information.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.
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.
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.
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.