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393 results for “honey bees”
Vitellogenins level as a biomarker of the honey bee colony seasonal dynamics
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Pathogenicity of Paenibacillus spp. for honey bee brood
<p>Raw data set of the article describing the pathogenicity of <em>Paenibacillus</em> spp. for honey bee brood.</p>
Cell orientation characteristics of the natural combs of honey bee colonies
<p>The cell orientation characteristics of the natural combs of honey bees have received much research attention. Although natural combs have been shown to be composed of cells with three orientations—vertical, intermediate (oblique), and horizontal—the proportion of comb cells in these three orientations varies. Knowledge of the comb-building preferences of honey bees is essential for the installation of wax comb foundations, and clarification of the cell orientation characteristics of natural honey bee combs is important for beekeeping. The purpose of this study was to determine the cell orientation characteristics of natural combs of Eastern honey bees (<i>Apis cerana cerana</i>) and Western honey bees (<i>Apis mellifera ligustica</i>). Newly built combs were used to measure the orientation of hexagonal cells and calculate the proportion of cells in different orientations relative to the total number of cells. The number of eggs laid by queens in the cells of different orientations was also determined. The orientation of cells in the natural combs of Eastern and Western honey bees was determined based on the value of the minimum included angle between the pair of parallel cell walls and a vertical line connecting the top and bottom bars of the movable frame in the geometric plane of the comb: 0°≤θ≤10°, 10°<θ≤20°, and 20°<θ≤30° for vertical, intermediate, and horizontal orientations, respectively. Natural combs were composed of cells with at least one orientation (vertical or horizontal), two orientations (vertical + intermediate (oblique) or vertical + horizontal), or three orientations (vertical + intermediate + horizontal), and the proportions of combs with the three aforementioned configurations differed. Both Eastern honey bees and Western honey bees preferred building combs with cells in a vertical orientation. Queens showed no clear preference for laying eggs in cells of specific orientations. The results of this study provide new insight that could aid the production and cutting of wax comb foundations of Eastern and Western honey bees. Our study highlights the importance of installing wax comb foundations compatible with the comb-building preferences of bees.</p>
Honey bee hive covers reduce food consumption and colony mortality during overwintering
<p class="MsoNormal"><span>Beekeepers regularly employ management practices to mitigate losses during the winter, often considered the most difficult time during a colony life cycle. Management recommendations involving covering or wrapping hives in insulation during winter have a long history; over 100 years ago, most recommendations for overwintering in cold climates involved heavy insulation wraps or moving hives indoors. These recommendations began to change in the mid-20<sup>th</sup> century, but hive covers are still considered useful and are described in contemporary beekeeping manuals and cooperative extension materials. However, most of the data supporting their use is published primarily in non-peer reviewed trade journals and was collected >40 years ago. In this time, the beekeeping environment has changed substantially, with new pressures from pathogens, agrochemicals, and land use changes. Here, we provide an update to the historical literature, reporting a randomized experiment testing the effectiveness of a common honey bee hive cover system across eight apiaries in central Illinois, USA, a temperate region dominated by conventional annual agriculture. We found that, when other recommended overwintering preparations are performed, covered colonies consumed less food stores and survived better than uncovered controls (22.5% higher survival). This study highlights the value of hive covers, even in an area not subject to extremely cold winter conditions, and these data can aid the production of evidence-based extension recommendations for beekeepers.</span></p>
The dose makes the poison: feeding of antibiotic-treated winter honey bees, Apis mellifera, with probiotics and b-vitamins
<div> <p><span>Honey stores of </span><em><span>Apis mellifera</span></em><span> colonies are replaced with sugar water by beekeepers, which may result in malnutrition. Nutritional supplements have been developed, but the importance of bacterial probiotics and vitamins is poorly understood. Given that supplementary feeding with vitamins and probiotics enhances worker weight and longevity, this would suggest a feasible approach to mitigate winter colony losses. Here, we conducted a laboratory hoarding cage study with freshly emerged winter bees, which were treated with the antibiotic tetracycline to reduce gut bacteria and subsequently assigned to feeding regimes: sucrose only, sucrose + pollen, probiotics (low and high dosage), probiotics + pollen (low and high dosage), or b-vitamins (low and high dosage), (N=8 treatments, 29 workers/cage x8 replicates). In parallel, controls remained on their frame (=Frame) to establish their gut microbiota and were subsequently fed with sucrose only or sucrose + pollen (N=2 treatments, 29 workers/cage x4 replicates). Higher body weights were found in workers fed pollen, and in notably the Frame Sucrose + Pollen group, confirming a role of gut bacteria in protein digestion. Furthermore, both Frame groups and the antibiotic-treated workers fed with probiotic low + pollen survived longer than all other groups, highlighting an inherent host-microbial relationship. In contrast, high dosages of both probiotic and b-vitamins significantly reduced life span compared to their low concentration counterparts, probably due to dysbiosis and toxicity, suggesting that the outcome was dose-dependent. These results highlight that bacterial supplementation can alter longevity with advisable caution since harmful concentrations appear to exist.</span> </p> </div>
Raw data - Macronutrient balance has opposing effects on cognition and survival in honey bees
<p>This file contains the dataset used in the paper "Macronutrient balance has opposing effects on cognition and survival in honey bees"</p>
Unpublished data on birds feeding on dead honey bees [BirdBeePictures_2017]
<p>These are the original pictures of the data set "Unpublished data on birds feeding on dead honey bees" (10.5281/zenodo.6976111)</p>
Unpublished data on birds feeding on dead honey bees [BirdBeePictures_2018_2]
<p>These are the original pictures of the data set "Unpublished data on birds feeding on dead honey bees" (10.5281/zenodo.6976111)</p>
Unpublished data on birds feeding on dead honey bees [BirdBeePictures_2018_1]
<p>These are the original pictures of the data set "Unpublished data on birds feeding on dead honey bees" (10.5281/zenodo.6976111)</p>
Deformed Wing Virus interacts with host's arginine kinase to enhance viral replication in honey bees
<p><strong>Dataset used to plot the figures presented in the manuscript "Deformed Wing Virus interacts with host’s arginine kinase to enhance viral replication in honey bees".</strong></p> <p> </p> <p><strong>Abstract</strong></p> <p>Deformed wing virus (DWV) is a major bee pathogen that is actively transmitted by the parasitic mite <em>Varroa</em> <em>destructor</em> and plays a primary role in winter <em>Apis mellifera </em>colony losses. Despite intense investigation of this essential pollinator species, driven by its unique environmental and economic importance, the mechanisms underlying the molecular interactions between DWV and honey bees are still poorly understood. Here we report on a group of honey bee proteins, identified by mass spectrometry, that specifically co-immunoprecipitate with DWV virus particles. Most of the proteins identified are involved in fundamental metabolic pathways. Here we focused on Arginine kinase (ArgK), a conserved protein playing multiple roles both in physiological and pathological processes. We found that <em>ArgK</em> RNA levels positively correlate with DWV load in field-collected honey-bee larvae and adults and significantly increase in larvae and adults upon DWV injection in controlled laboratory conditions, indicating that the <em>ArgK</em> gene was upregulated by DWV infection. Silencing <em>ArgK </em>gene expression <em>in vitro</em>, using RNAi, resulted in reduced DWV viral load, thus demonstrating that ArgK function promotes the progression of DWV infection, likely altering the delicate balance between metabolism and immunity. In summary, these data indicate that successful DWV infection relies on transcriptional regulation and active recruitment of host ArgK by this viral pathogen. Therefore, our findings open novel perspectives on the potential control of DWV pathogenicity by targeting its interaction with specific host proteins.</p>
Data from: Fungicide suppression of flight performance in the honey bee (Apis mellifera) and its amelioration by quercetin
As a managed agricultural pollinator, the western honey bee Apis mellifera frequently encounters agrochemicals as contaminants of nectar and pollen. One such contaminant, the fungicide boscalid, is applied at bloom in orchards for fungal floral pathogen control. As an inhibitor of complex II in the mitochondrial electron transport chain of fungi, boscalid can potentially interfere with high energy-demanding activities of bees, including flight. We designed an indoor flight treadmill to evaluate impacts of ingesting boscalid and/or quercetin, a ubiquitous phytochemical in bee food that also affects mitochondrial respiration. Boscalid reduced the wing-beat frequencies of foragers during flight but did not alter the duration of flight. At the colony level, boscalid ingestion may thereby affect overall health by reducing forager efficiency. Consumption of quercetin, by contrast, led to higher adenosine triphosphate levels in flight muscles and a higher wing-beat frequency. Consuming the two compounds together increased wing beat frequency, demonstrating a hitherto unrecognized mechanism by which dietary phytochemicals may act to ameliorate toxic effects of pesticides to promote honey bee health. In carrying out this work, we also introduce two methodological improvements for use in testing for pesticide effects on flight capacity—a "force-feeding" to standardize flight fuel supply and a novel indoor flight treadmill.
Parallel evolution of Varroa resistance in honey bees; a common mechanism across continents?
<p>The near-globally distributed ecto-parasitic mite of the Apis mellifera honey bee, Varroa destructor, has formed a lethal association with Deformed wing virus, a once rare and benign RNA virus. In concert the two have killed millions of wild and managed colonies, particularly across the northern hemisphere, forcing the need for regular acaricide application to ensure colony survival. However, despite the short association (in evolutionary terms), A. mellifera populations across the globe have been surviving many years without any mite control methods. This long-term survival, or Varroa resistance, is consistently associated with the same suite of traits, recapping, brood removal and reduced mite reproduction, irrespective of location. Here we conduct an analysis of data extracted from 60 papers to illustrate how these traits connect together to explain decades of mite resistance data. For the first time we have potentially a unified understanding of natural Varroa resistance that will help the global industry achieve widespread miticide free beekeeping and indicate how different honey bee populations across four continents have resolved a recent threat using the same suite of behaviours.</p>
Within-colony transmission of Microsporidian and Trypanosomatid parasites in honey bee and bumble bee colonies
<p><span><span><span><span><span><span><span><span><span><span><span>Parasites are commonly cited as one of the causes of population declines for both managed and wild bees. Epidemiological models sometimes assume that increasing the proportion of infected individuals in a group should increase transmission. However, social insects exhibit behaviors and traits which can dampen the link between pathogen pressure and disease spread. Understanding patterns of parasite transmission within colonies of social bees has important implications for how to control diseases within those colonies, and potentially the broader pollinator community. We used bumble bees (<i>Bombus impatiens</i> Cresson) and western honey bees (<i>Apis mellifera</i> L.) infected with the gut parasites <i>Crithidia bombi </i>(Lipa & Triggiani) and <i>Nosema ceranae </i>(Fries et al.), respectively, to understand how the initial proportion of infected individuals impacts within-colony spread and intensity of infection of the parasites. In bumble bees, we found that higher initial parasite prevalence increased both the final prevalence and intensity of infection of <i>C. bombi</i>. In honey bees, higher initial prevalence increased the intensity of infection in individual bees, but not the final prevalence of <i>N. ceranae</i>. Measures that reduce the probability of workers bringing parasites back to the nest may have implications for how to control transmission and/or severity of infection and disease outbreaks, which could also have important consequences for controlling disease spread back into the broader bee community. </span></span></span></span></span></span></span></span></span></span></span></p>
Data from: Honey bees are the most abundant visitors to Australian watermelon but native stingless bees are equally effective as pollinators
<p><span>Despite the benefits of a diverse approach to crop pollination, global food production remains reliant on a low diversity of managed pollinators, especially </span>the European honey bee (<em>Apis mellifera</em>). To facilitate more robust pollinator management and improve the resilience of the production system, it is necessary to understand regional variation in the pollination ecology of global food crops. Watermelon (<em>Citrullus lanatus</em> (Thunb.) Matsum. & Nakai) is a highly insect pollinator-dependent crop and even though it is grown globally across many different climate zones, little is known about its pollination ecology across the diverse growing regions of Australia, spanning from the tropics to the arid zone. We compared the species composition, visitation rates, and effectiveness of the dominant floral visitors on 15 farms across five major watermelon-growing regions of Australia. We found that insect species composition differed significantly among regions, but honey bees were the dominant watermelon flower visitor, with relative abundance varying from 73 - 94%. However, native bees (including stingless bees <em>Tetragonula</em> sp., and bees from Families Megachilidae, and Halictidae such as <em>Lasioglossum</em>, <em>Homalictus</em>, <em>Lipotriches</em>), and flies (particularly Syrphidae sp.) also visited and transferred pollen onto watermelon flowers. In particular, native stingless bees were common visitors in several growing regions and deposited similar amounts of pollen to honey bees. Our findings indicate that the Australian watermelon industry utilizes honey bees, but the diverse assemblage of available native pollinating taxa provides an additional opportunity for growers in specific growing regions. These native taxa may be encouraged in the production system by deploying managed populations (e.g. native stingless bee colonies), employing pollinator-safe land management practices, as well as exploring methods for increasing the efficiency of managed honey bee colonies.</p>
Influence of the land use of the foraging area on the physico-chemical properties of the honey of the honey bee, Apis mellifera , in the urban and peri-urban landscape of Butembo, Democratic Republic of Congo
<p>Dataset of the study site land cover and honey physico-chemical quality</p>
Fore wings of honey bees (Apis mellifera) from Kazakhstan
<p>The dataset consists of 1067 fore wing images of honey bee (<em>Apis mellifera</em>) workers, which represent 71 colonies and 17 locations in Kazakhstan. The wing images are compressed in KZ-wing-images.zip. Raw coordinates of 19 landmarks marked on the wings are in file KZ-raw-coordinates.csv. Additional data, including geographic coordinates and resolution, is saved in the file KZ-data.csv.</p> <p>For more information see:<br>Temirbayeva, K., Torekhanov, A., Nuralieva, U., Sheralieva, Z., & Tofilski, A. (2023). In Search of Apis mellifera pomonella in Kazakhstan. <em>Life</em>, <em>13</em>(9), 1860. <a href="https://doi.org/10.3390/life13091860">https://doi.org/10.3390/life13091860</a></p>
Fore wings of queens and drones of honey bees (Apis mellifera)
<p>The dataset consists of fore wing images of queens and drones of honey bees (<i>Apis mellifera</i>). In most cases, there are both left and right wings indicated with the letters L and R, respectively, at the end of the file name. The resolution of the images is 94488 pixels per meter. The wing images are compressed into zip files. The file queens-wing-images.zip contains 4117 wing images of queens, which represent 2086 individuals. The file drones-wing-images.zip contains 8006 wing images of drones, which represent 4102 individuals. Raw coordinates of 19 landmarks marked on the wings of queens and drones are in files queens-raw-coordinates.csv and drones-raw-coordinates.csv, respectively. For a subset of queens, there is also available data about wing length and body weight in the files queens-wing-length.csv and queens-weight.csv, respectively.</p>
Bee Honey and Functional Dyspepsia in Children
ClinicalTrials.gov study NCT05209646. IPD Sharing: NO. Countries: 1. Publications: 10.
Honey bee introductions displace native bees and decrease pollination of a native wildflower
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Apis mellifera wing images (Africanized honey bees)
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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
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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.