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393 results for “honey bees”
Signatures of adaptive decreased virulence of deformed wing virus in an isolated population of wild honey bees (Apis mellifera)
<p>Understanding the ecological and evolutionary processes that drive host-pathogen interactions is critical for combating epidemics and conserving species. The <em>Varroa</em> <em>destructor</em> mite and deformed wing virus (DWV) are two synergistic threats to Western honey bee (<em>Apis</em> <em>mellifera</em>) populations across the globe. Distinct honey bee populations have been found to self-sustain despite <em>Varroa</em> infestations, including colonies within the Arnot Forest outside Ithaca, NY, USA. We hypothesized that in these bee populations, DWV has been selected to produce an avirulent infection phenotype, allowing for the persistence of both host and disease-causing agents. To investigate this, we assessed the titer of viruses in bees from the Arnot Forest and managed apiaries, and assessed genomic variation and virulence differences between DWV isolates. Across groups, we found viral abundance was similar, but DWV genotypes were distinct. We also found that infections with isolates from the Arnot Forest resulted in higher survival and lower rates of symptomatic deformed wings, compared to analogous isolates from managed colonies, providing preliminary evidence to support the hypothesis of adaptive decreased viral virulence. Overall, this multi-level investigation of virus genotype and phenotype across different contexts reveals critical insight into global bee health and the ecological and evolutionary processes driving host-pathogen interactions.</p>
Data from: Evaluating the foraging performance of individual honey bees in different environments with automated field RFID systems
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Signatures of adaptive decreased virulence of deformed wing virus in an isolated population of wild honey bees (Apis mellifera)
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Data from: Iridescence untwined - Honey bees can separate hue variations in space and time
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Synergistic negative effects between a fungicide and high temperatures on homing behaviours in honey bees
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The effect of Israeli acute paralysis infection on honey bee brood care behavior
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Ecological and evolutionary drivers of stingless bee honey variation at the global scale
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Pollen collection by the western honey bee and common eastern bumble bee foraging in a common landscape and applications for agri-environment schemes
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The more the better: Fatty acids are predictive markers of honey bee, Apis mellifera, worker longevity
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Data for: An invasive ant increases deformed wing virus loads in honey bees
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Data from: Quantifying the impact of crop coverings on honey bee orientation and foraging in sweet cherry orchards using RFID
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Supplemental data Effects of imidacloprid exposure on honey bee colony growth and activity
To better understand how exposure to a low (5 ppb) concentration of imidacloprid affects honey bee colonies we conducted five field experiments involving a total of 54 bee colonies. In each experiment, bee colonies in one treatment group were fed sugar syrup adulterated with 5ppb imidacloprid over six weeks, and colonies in the other group were fed unadulturated sugar syrup over the same time period. Treatments were intended to simulate nectar collection by the colonies. No commercial agriculture existed within 10 km of the sites. We collected data from hive assessments, including adult bee mass and mass of food resources, and the total surface area of capped brood; and we collected data from sensors, including continuous hive weight, internal temperature and, for two years of the study, internal CO2 concentration. We measured Varroa mite fall before and after treatment each year of the study, and for 3 years of the study we measured the dry weight of newly-emerged adult bees.
Experimental infection of bumble bees with honey bee associated viruses: no direct fitness costs but potential future threats to novel wild bee hosts
<p>Pathogen spill-over represents an important cause of biodiversity decline. For wild bee species such as bumble bees, many of which are in decline, correlational data point toward viral spill-over from naged honey bees as a potential cause. Yet impacts of honey bee viruses on wild bees are rarely evaluated. Here, in a series of highly controlled laboratory infection assays with well characterised viral inocula, we show that three viral types isolated from honey bees (<i>Deformed wing virus</i> genotype A, <i>Deformed wing virus</i> genotype B and <i>Black queen cell virus</i>) readily replicate within hosts of the bumble bee <i>Bombus terrestris</i>. Impacts of these honey bee-derived viruses – either injected or fed – on the mortality of <i>B. terrestris </i>workers were, however, negligible and likely dependent on host condition. Our results highlight the potential threat of viral spill-over from honey bees to novel wild bee species, though they also underscore the importance of additional studies on this and other non- bee species under field-realistic conditions to evaluate whether pathogen spill-over has a negative impact on wild bee individuals and population fitness.</p>
Floral tea polyphenols can improve honey bee memory retention and olfactory sensitivity
<p>Animal-pollinated plants face a common problem, how their defensive anti-herbivore compounds may impair or alter pollinator behavior. Evolution has tailored multiple solutions, which largely involve pollinator tolerance or manipulation, to the benefit of the plant, not the removal of these compounds from pollen or nectar. The tea plant, <em>Camilla sinensis</em>, is famous for the caffeine and tea polyphenols (TP) that it produces in its leaves. However, these compounds are also produced in its nectar, which honey bees readily collect. We examined the effects of these compounds on bee foraging choices, learning, memory, and olfactory sensitivity. Foragers preferred a sucrose feeder with 100 µg or 10 µg TP/ml over a control feeder. Caffeine, but not TP, weakly increased honey bee learning. Both caffeine and TP significantly increased memory retention, even when tested 7 d after the last learning trial. In addition, TP generally elevated EAG responsiveness to alarm pheromone odors. These results demonstrate that not only caffeine, but other secondary plant compounds, can attract pollinators and influence their learning and memory.</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.
Hunt honey bee markers
<p>Early honey bee QTL studies (e.g. Hunt et al 1995) relied on RAPD and STS markers. For the latter, the sequences were often not included in the final publication or were difficult to find in the literature. The author discovered the attached list of markers for honey bees on Greg Hunt's desktop computer in 2019. The list is composed of published and unpublished marker sequences corresponding to those in QTL papers from 1995 onwards. This is not a peer-reviewed data set. <br> <br> Hunt, Greg J., et al. "Major quantitative trait loci affecting honey bee foraging behavior." <i>Genetics</i> 141.4 (1995): 1537-1545.</p>
The weakest link: Haploid honey bees are more susceptible to neonicotinoid insecticides
<p><span>Neonicotinoid insecticides are currently of major concern for the health of wild and managed insects that provide key ecosystem services like pollination. Even though sublethal effects of neonicotinoids are well known, there is surprisingly little information on how they possibly impact developmental stability, and to what extent genetics are involved. This holds especially true for haploid individuals because they are hemizygous at detoxification loci and may be more susceptible. Here we take advantage of haplodiploidy in Western honey bees, <i>Apis mellifera</i>, to show for the first time that neonicotinoids affect developmental stability in diploid females (workers), and that haploid males (drones) are even more susceptible. Phenotypic fore wing venation abnormalities and fluctuating wing asymmetry, as measures of developmental instability, were significantly increased under field-realistic neonicotinoid-exposure of colonies. The higher susceptibility of haploid drones suggests that heterozygosity can play a key role in the ability to buffer the sublethal effects of neonicotinoids. Aiming to improve conservation efforts, our findings highlight the urgent need to better understand the role that genetics plays at enabling non-target organisms to cope with insecticide exposure.</span></p>
Data from: Population genomics and morphometric assignment of western honey bees (Apis mellifera L.) in the Republic of South Africa
Backgrounds: Apis mellifera scutellata and A.m. capensis (the Cape honey bee) are western honey bee subspecies indigenous to the Republic of South Africa (RSA). Both bees are important for biological and economic reasons. First, A.m. scutellata is the invasive "African honey bee" of the Americas and exhibits a number of traits that beekeepers consider undesirable. They swarm excessively, are prone to absconding (vacating the nest entirely), usurp other honey bee colonies, and exhibit heightened defensiveness. Second, Cape honey bees are socially parasitic bees; the workers can reproduce thelytokously. Both bees are indistinguishable visually. Therefore, we employed Genotyping-by-Sequencing (GBS), wing geometry and standard morphometric approaches to assess the genetic diversity and population structure of these bees to search for diagnostic markers that can be employed to distinguish between the two subspecies. Results: Apis mellifera scutellata possessed the highest mean number of polymorphic SNPs (among 2,449 informative SNPs) with minor allele frequencies >0.05 (Np = 88%). The RSA honey bees generated a high level of expected heterozygosity (Hexp = 0.24). The mean genetic differentiation (FST; 6.5%) among the RSA honey bees revealed that approximately 93% of the genetic variation was accounted for within individuals of these subspecies. Two genetically distinct clusters (K = 2) corresponding to both subspecies were detected by Model-based Bayesian clustering and supported by Principal Coordinates Analysis (PCoA) inferences. Selected highly divergent loci (n = 83) further reinforced a distinctive clustering of two subspecies across geographical origins, accounting for approximately 83% of the total variation in the PCoA plot. The significant correlation of allele frequencies at divergent loci with environmental variables suggested that these populations are adapted to local conditions. Only 17 of 48 wing geometry and standard morphometric parameters were useful for clustering A.m. capensis, A.m. scutellata, and hybrid individuals. Conclusions: We produced a minimal set of 83 SNP loci and 17 wing geometry and standard morphometric parameters useful for identifying the two RSA honey bee subspecies by genotype and phenotype. We found that genes involved in neurology/behavior and development/growth are the most prominent heritable traits evolved in the functional evolution of honey bee populations in RSA.
Dataset for honey bee audio detection
<p>The database contains recordings of bees and drones in wav format, without compression. The sampling frequency is 44.1kHz.</p><p>The database contains 10000 one-second recordings of bees and 1700 one-second recordings of drones.</p>
Fore wing images of honey bees (Apis mellifera) from Serbia
<p>The dataset consists of 2282 fore wing images of honey bee (<i>Apis mellifera</i>) workers. The wing images represent 60 colonies. Each of the colonies was collected in a different location in Serbia. The wing images are compressed in RS_21_80-wing-images.zip. Raw coordinates of 19 landmarks marked on the wings are in file RS_21_80-raw-coordinates.csv. Additional data, including geographic coordinates and resolution, is saved in file RS_21_80-data.csv.</p>
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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.
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.