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.
17
datasets available to search
ShareScore release 0.9.0
Dataset results
17 results for “Varroa mite”
Insights into Varroa mite (Varroa destructor) infestation levels in local honeybee (Apis mellifera) colonies of Ethiopia
<p>These data were collected from three geographic regions of Ethiopia from September, 2020 to June 2022 in order to determine the prevalence of<em> varroa destructor </em>in Ethiopian honeybee colonies. The data was analyzed to compare the <em>Varroa destructor</em> mite among the honeybee development stages (brood Vs Adult), by the hive types (Local traditional Vs Frame modern) and across the geographic regions (Oromia, Amhara and SNNPR). </p> <p>Both the raw and the partially processed data were available here. </p>
Data from: Pathogen shifts in a honey bee predator following arrival of the Varroa mite
Emerging infectious diseases (EIDs) are a global threat to honey bees, and spillover from managed bees threaten wider insect populations. Deformed wing virus (DWV), a widespread virus that has become emergent in conjunction with the spread of the mite Varroa destructor, is thought to be partly responsible for global colony losses. The arrival of Varroa in honey bee populations causes a dramatic loss of viral genotypic diversity, favoring a few virulent strains. Here, we investigate DWV spillover in an invasive Hawaiian population of the wasp, Vespula pensylvanica, a honey bee predator and honey-raider. We show that Vespula underwent a parallel loss in DWV variant diversity upon the arrival of Varroa, despite the mite being a honey bee specialist. The observed shift in Vespula DWV, and the variant-sharing between Vespula and Apis, suggest that these wasps can acquire DWV directly or indirectly from honey bees. Apis prey items collected from Vespula foragers were positive for DWV, indicating predation is a possible route of transmission. We also sought cascading effects of DWV shifts in a broader Vespula pathogen community. We identified concurrent changes in a suite of additional pathogens, as well as shifts in the associations between these pathogens in Vespula and in Apis. These findings reveal how hidden effects of the Varroa mite can, via spillover, transform the composition of pathogens in interacting species, with potential knock-on effects for entire pathogen communities.
Dataset for varroa mite detection on sticky boards
<p>This Zenodo entry contains several supplementary files to the paper <i>"Analysis of Varroa mite colony infestation level using new open software based on deep learning techniques"</i> by Jose Divasón, Ana Romero, Francisco Javier Martínez de Pisón, Miguel A. Silvestre, Pilar Santolaria and Jesús L. Yániz.</p><p>The code is also publicly available in Github: <a href="https://github.com/jodivaso/varroa_detector">https://github.com/jodivaso/varroa_detector</a></p><p>The following files are included in this entry:</p><ul><li><strong>dataset.zip: </strong>this file contains the dataset that consists of 64 images (dimensions 8064 x 6048) of sticky boards with varroa mites. The compressed file also includes the labels (the annotations).</li><li><strong>images_deblurGAN.zip: </strong>this file contains the same 64 images, but after applying deblurGAN techniques.</li><li><strong>df_dataset.csv: </strong>CSV containing the information which images belong to the training set and which belong to the validation set.</li><li><strong>models.zip:</strong> it contains the different deep learning models that have been developed.</li><li><strong>example.zip: </strong>compressed file that includes a model (based on Faster R-CNN with resnet18 as backbone and fpn) and one image.</li></ul>
Biting behavior against Varroa mites in honey bees is associated with changes in mandibles
<p>raw data of the mite biting behavior, and parameters of mandibles for our manuscript "<span>Biting behavior against Varroa mites in honey bees is associated with changes in mandibles, with tracking by a new mobile application for mite damage identification</span>"</p>
Data for: Negative but antagonistic effects of neonicotinoid insecticides and ectoparasitic mites Varroa destructor on Apis mellifera honey bee food glands
<p>Collaborative brood care by workers is essential for the functionality of eusocial honey bee, <em>Apis</em> <em>mellifera</em>, colonies. The hypopharyngeal food glands of workers play a crucial role in this context. Even though there is consensus that ubiquitous ectoparasitic mites <em>Varroa</em> <em>destructor</em> and widespread insecticides, such as neonicotinoids, are major stressors for honey bee health, their impact alone and in combination on the feeding glands of workers is poorly understood. Here, we show that both <em>V. destructor</em> and neonicotinoids reduce hypopharyngeal gland size, thereby potentially compromising collaborative brood care in colonies. In a fully-crossed laboratory experiment, the impact of mites and the neonicotinoids thiamethoxam and clothianidin alone and in combination on workers were evaluated. While the neonicotinoids did not impact survival and emergence body mass, the data confirm that <em>V. destructor</em> reduces both. Even though the interactions between both stressors were antagonistic and neutral, the clear detrimental effects of both stressors alone and in combination on worker longevity and food glands are remarkable. Besides reduced worker longevity, impaired brood care provided by workers exposed to <em>V. destructor</em> and neonicotinoids could be detrimental for honey bee colony functionality. Our findings highlight a mechanism to explain honey bee colonies losses globally.</p>
Data from: Pathogen shifts in a honey bee predator following arrival of the Varroa mite
Open the record for dataset details and reuse information.
Data for: Negative but antagonistic effects of neonicotinoid insecticides and ectoparasitic mites Varroa destructor on Apis mellifera honey bee food glands
Open the record for dataset details and reuse information.
Adaptive population structure shifts in invasive parasitic mites, Varroa destructor
<p>Comparative studies of genetic diversity and population structure can shed light on the ecological and evolutionary factors governing host–parasite interactions. Even though invasive parasites are considered of major biological importance, little is known about their adaptive potential when infesting the new hosts. Here, the genetic diversification of <i>Varroa destructor</i>, a novel parasite of <i>Apis mellifera</i> originating from Asia, was investigated using population genetics to determine how the genetic structure of the parasite changed in distinct European populations of its new host. To do so, mites infesting two categories of hosts in four European regions were compared: (i) adapted hosts surviving through means of natural selection, thereby expected to impose strong selective pressure on the mites, and (ii) treated host populations, surviving mite infestations because acaricides are applied, therefore characterized by a relaxed selection imposed by the host on the mites. Significant genetic divergence was found across regions, partially reflecting the invasion pattern of <i>V. destructor</i> throughout Europe and indicating local adaptation of the mite to the host populations. Additionally, varying degrees of genotypic changes were found between mites from adapted and treated colonies. Altogether, these results indicate that <i>V. destructor</i> managed to overcome the genetic bottlenecks following its introduction in Europe and that host-mediated selection fostered changes in the genetic structure of this mite at diverse geographical scales. These findings highlight the potential of parasites to adapt to their local host populations and confirm that adaptations developed within co-evolutionary dynamics are a major determinant of population genetic changes.</p>
Data from: Honey bee colonies headed by hyperpolyandrous queens have improved brood rearing efficiency and lower infestation rates of parasitic Varroa mites
A honey bee queen mates on wing with an average of 12 males and stores their sperm to produce progeny of mixed paternity. The degree of a queen's polyandry is positively associated with measures of her colony's fitness, and observed distributions of mating number are evolutionary optima balancing risks of mating flights against benefits to the colony. Effective mating numbers as high as 40 have been documented, begging the question of the upper bounds of this behavior that can be expected to confer colony benefit. In this study we used instrumental insemination to create three classes of queens with exaggerated range of polyandry– 15, 30, or 60 drones. Colonies headed by queens inseminated with 30 or 60 drones produced more brood per bee and had a lower proportion of samples positive for Varroa destructor mites than colonies whose queens were inseminated with 15 drones, suggesting benefits of polyandry at rates higher than those normally obtaining in nature. Our results are consistent with two hypotheses that posit conditions that reward such high expressions of polyandry: (1) a queen may mate with many males in order to promote beneficial non-additive genetic interactions among subfamilies, and (2) a queen may mate with many males in order to capture a large number of rare alleles that regulate resistance to pathogens and parasites in a breeding population. Our results are unique for identifying the highest levels of polyandry yet detected that confer colony-level benefit and for showing a benefit of polyandry in particular toward the parasitic mite V. destructor.
Supplementary material S2: Video evidence of vibrational traces originating from an individual Varroa mite walking.
<p>A video demonstrating an individual mite walking, together with the measured vibrations in spectrogram form. The logged coordinates of mite movement allow the individual to be tracked within the field of view which is continuously updated. The right-hand side panel detects the changes between two consecutive images of the original cropped video panel. When motionless the mite remains dark blue in the said panel, but the pixels flash red when the mite is walking. The synchronicity between mite movement and the vibrational traces seen on the top spectrogram panel can clearly be seen. This movie soundtrack, which is the accelerometer signal, also demonstrates the audible ‘clicking’ of mite walking vibrations, which are also synchronous with the movement and spectrogram traces. The spectrogram of the accelerometer data is shown with respect to time, with acceleration magnitude in logarithmic (to the base 10) format, with dark red always forced to be 6x10<sup>-3 </sup>m/s<sup>2</sup> (for ease of viewing the walking traces) as the highest point of magnitude at any point in time and dark blue as 1/50 of the maximum. This movie and its corresponding audio track are slowed from the original 50 to 25 frames per second for better viewing.</p>
The salivary gland transcriptome of Varroa destructor reveals suitable targets for RNAi-based mite control
<p><span>The mite <em>Varroa destructor</em> has a dramatic impact on beekeeping, and is one of the main causes of honey bee colony losses. This ectoparasite feeds on honey bees’ liquid tissues through a wound created on the host integument, which determines weight loss, a reduced lifespan and the transmission of viral pathogens. However, despite its importance, the mite feeding strategy and the host regulation role by the salivary secretions have been poorly explored. Here we contribute to fill this gap by identifying the salivary components of <em>V. destructor </em>and by studying their on mite feeding and survival. Our differential expression analysis identified 30 salivary gland genes encoding putatively secreted proteins, among which only 15 were found to be functionally annotated. These latter include proteins with putative antibacterial, antifungal, cytolytic, digestive and immunosuppressive function. To study the role of the identified genes on mite feeding we selected the three most highly transcribed genes coding for: a chitin-binding domain protein (CHIBIN), a Kazal domain serine protease inhibitor (KAZAL) and a papain-like cysteine protease (PAPA). Knockdown of CHIBIN was associated with a significant decrease of mite survival, likely interfering with the immune reaction to facilitate mite feeding. This work expands our knowledge of the host regulation and nutritional exploitation strategies adopted by ectoparasites of arthropods and allows the identification of novel targets for RNAi-based strategies <span> </span>of <em>Varroa </em>mite control. <span> </span></span></p>
Data from: Honey bee colonies headed by hyperpolyandrous queens have improved brood rearing efficiency and lower infestation rates of parasitic Varroa mites
Open the record for dataset details and reuse information.
Adaptive population structure shifts in invasive parasitic mites, Varroa destructor
Open the record for dataset details and reuse information.
A salivary chitinase of Varroa destructor influences host immunity and mite's survival
<p>This dataset represents raw data underlying the findings (and the figures) reported in the manuscript "<strong>A salivary chitinase of <em>Varroa destructor</em> influences host immunity and mite’s survival</strong>".</p> <p> </p> <p><strong>Fig 2A.</strong> <strong>Salivary gland expression of putative host regulation factors present found in the predicted secretome of <em>Varroa destructor</em>.</strong> (A)<strong> </strong>Relative expression data of 3 selected candidates are presented as mean fold changes of 3-4 independent biological replicates. Each replicate consisted of a pool of 5-10 mites and comprised , from which the RNA was extracted from,two samples: salivary glands (SG), and from the rest of the whole body, deprived of salivary glands (Whole Body – SG). Values on Y-axis are reported in Log<sub>10</sub> scale. Error bars represent standard error of the meandeviation (SD). Statistically significant differences are denoted with an asterisk (P < 0.005).</p> <p> </p> <p> </p> <p><strong>Fig 4.</strong> <strong>Survival of <em>Varroa. destructor</em> as affected by RNAi-mediated silencing of the gene encoding VdCHIsal. </strong>(A) Relative expression of <em>Vd-CHIsal</em> after mite soaking in a dsRNA solution. qRT-PCR data are presented as mean fold changes of 2-67 independent biological replicates. Each replicate consisted in a pool of 2-3 mites. Each time point was separately analyzed and the 0.9% NaCl 0.9% control sample was used as calibrator. Mean dCt values within each time point were compared by Student’s t-testone-way ANOVA followed by Tukey’s post-hoc test. Mean values denoted with different letters are significantly different. Error bars represent standard deviation (the standard error of the meanSD). Mean values denoted with asterisks are significantly different (*p<0.05; ** p<0.01). (B) Kaplan-Meier survival curves of mites soaked in a solution of dsRNA targeting <em>Vd-CHIsal</em>. Saline controls (0.9% NaCl), GFP dsRNA and Vd-CHIsal dsRNA soaked mites (blue rhombus, green circles and orange squares, respectively) were individually maintained on the same host pupa throughout the whole duration of the assayP. Subjects at risk were 18, 30 and 45 for 0.9% NaCl, GFP dsRNA and Vd-CHIsal dsRNA treatments, respectively. Survival curve of dsVd-CHIsal was significantly different from dsGFP (log rank test: <em>X</em><sub>2</sub>= 6.086; P=0.0136) and from NaCl 0.9 (log rank test: <em>X</em><sub>2</sub>=6.611; P=0.0101), while no difference was observed between dsGFP and NaCl 0.9% (log rank test: <em>X</em><sub>2</sub>= 0.46; P=0.49). Statistical significance was set at 0.016 (Bonferroni correction). aIn a separateconcurrent set of trials, host pupae were replaced every 24 h for both saline controls (0.9% NaCl) and Vd-CHIsal dsRNA soaked mites (violet down-pointing and red up-pointing triangles, respectively). Subjects at risk were 29 and 22 for 0.9% NaCl and Vd-CHIsal dsRNA, respectively. Host pupae were maintained throughout the feeding or replaced every 24 h. Survival curve of dsVd-CHIsal was significantly different from (log rank test: <em>X</em><sub>2</sub>= 18.21; P<0.0001), Statistical significance was set at 0.05.Statistical details are in the text. Error bars represent the standard error of the mean.</p> <p> </p> <p> </p> <p><strong>Fig 5.</strong> <strong>Differentially expressed genes in honey bee pupae artificially infested with mites delivering saliva with the full repertoire of proteins or lacking Vd-CHIsal.</strong> (A) Differential expression of 13 honey bee genes, as affected by presence of Vd-CHIsal in the saliva (KD/WS). DESeq2 adjusted <em>P</em> was < 0.05 and FDR was set at 5%. Log transformed mean FPKM values are reported on Y axis. For each Each group representsexperimental condition 3 individually analyzedseparate pupae were analyzed. Error bars represent SEMSD. Summary tables data sheets of differential expression analysis are presented in S2 and S3 Tables. (B) Relative expression of immune-related genes in honey bee pupae as affected by <em>Vd-CHIsal</em> expression in <em>Varroa destructor</em> infesting mites. Each groupmean value representsis obtained on 7-10 individually analyzed pupae, individually analyzed. Results of qRT-PCR are presented as mean fold changes relative to non-infested pupae used as calibrator. Values on Y axis are reported in Log<sub>10</sub> scale. Error bars represent standard deviation (the standard error of the meanSD). Mean values were compared by one-way ANOVA, followed by Tukey post-hoc test, and values statistically different are denoted with different letters (P<0.05). Detailed resultsDetails of statistical analyses are presented in S4 Table. NP: non-parasitized controls; WS: pupae infested with mites soaked in saline solution; KD: pupae infested with mites soaked in a solution of <em>dsRNA </em><em>Vd-CHIsal</em> dsRNA dsRNA solution.</p> <p> </p> <p><strong>S1 File. </strong>Table resulting from Trinotate in-house annotation of the putatively secreted components of<em> Varroa destructor </em>predicted proteome. The annotation was performed following the protocol described in Materials and Methods section. Content of columns is hereafter described. A: GenBank accession number of the original transcript of <em>V. destructor</em>; B: GenBank accession number of the matching protein in <em>V. destructor</em>; C: ID name assigned by Transdecoder software; D: coordinates of the translation; E: top BLASTp hits in Swiss-Prot db; F: top BLASTp hits in the database of Hymenoptera venom; G: top BLASTp hits in the database of Acarina saliva; H: Pfam hits; I,: SignalP results indicating the presence of the signal peptide; J: TMHMM results indicating the presence of transmembrane domains; K: eggnog db hits; L: Kegg db hits; M: gene ontology retrieved from BLASTp; N: gene ontology retrieved from Pfam.</p>
Data for synergistic and antagonistic interactions between Varroa destructor mites and neonicotinoid insecticides in male Apis mellifera honey bees
<p>Pressures from multiple, sometimes interacting, stressors can have negative consequences to important ecosystem-service providing species like the western honey bee (<i>Apis mellifera</i>). The introduced parasite <i>Varroa destructor</i> and the neonicotinoid class of insecticides each represent important, nearly ubiquitous biotic and abiotic stressors to honey bees, respectively. Previous research demonstrated that they can synergistically interact to negatively affect non-reproductive honey bee female workers, but no data exist on how concurrent exposure may affect reproductive honey bee males (drones). This is important, given that the health of reproductive females (queens), possibly because of poor mating, is frequently cited as a major driver of honey bee colony loss. To address this, known age cohorts of drones were obtained from 12 honey bee colonies – seven were exposed to field-relevant concentrations of two neonicotinoids (4.5 ppb thiamethoxam and 1.5 ppb clothianidin) during development via supplementary pollen patties; five colonies received patties not spiked with neonicotinoids. Artificially emerged drones were assessed for natural <i>V. destructor </i>infestation, weighed, and then allocated to the following treatment groups: 1. Control, 2. <i>V. destructor</i> only, 3. Neonicotinoid only, and 4. Combined (both mites and neonicotinoid). Adult drones were maintained in laboratory cages alongside attendant workers (1 drone : 2 worker ratio) until they have reached sexual maturity after 14 days so sperm concentration and viability could be assessed. The data that <i>V. destructor</i> and neonicotinoids interacted synergistically to negatively affect adult drone survival, but that they interacted antagonistically on emergence mass. Although sample sizes were too low to assess the effects of <i>V. destructor</i> and combined exposure on sperm quality, we observed no influence of neonicotinoids on sperm concentration or viability. Our findings highlight the diverse effects of concurrent exposure to stressors on honey bees, and suggest that <i>V. destructor </i>and neonicotinoids can severely effect the number of sexually mature adult drones available for mating.</p>
Data for synergistic and antagonistic interactions between Varroa destructor mites and neonicotinoid insecticides in male Apis mellifera honey bees
Open the record for dataset details and reuse information.
Data of varroa mites and honey bees bioassay
<p>Data of varroa mites and honey bees bioassay</p>
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.