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562 results for “bumblebee”
Data from: Honeybee visitation to shared flowers increases Vairimorpha ceranae prevalence in bumblebees
<p><em>Vairimorpha</em> (=<em>Nosema</em>) <em>ceranae</em> is a widespread pollinator parasite that commonly infects honeybees and wild pollinators, including bumblebees. Honeybees are highly competent <em>V. ceranae</em> hosts and previous work in experimental flight cages suggests <em>V. ceranae </em>can be transmitted during visitation to shared flowers. However, the relationship between floral visitation in the natural environment and the prevalence of <em>V. ceranae </em>among multiple bee species has not been explored. Here, we analyzed the number and duration of pollinator visits to particular components of squash flowers—including the petals, stamen, and nectary—at six farms in southeastern Michigan, USA. We also determined the prevalence of <em>V. ceranae </em>in honeybees and bumblebees at each site. Our results showed that more honeybee flower contacts and longer duration of contacts with pollen and nectar was linked with greater <em>V. ceranae</em> prevalence in bumblebees. Honeybee visitation patterns appear to have a disproportionately large impact on <em>V. ceranae</em> prevalence in bumblebees even though honeybees are not the most frequent flower visitors. Floral visitation by squash bees or other pollinators were not linked with <em>V. ceranae</em> prevalence in bumblebees. Further, <em>V. ceranae</em> prevalence in honeybees was unaffected by floral visitation behaviors by any pollinator species. These results suggest that honeybee visitation behaviors on shared floral resources may be an important contributor to increased <em>V. ceranae</em> spillover to bumblebees in the field. Understanding how <em>V. ceranae</em> prevalence is influenced by pollinator behavior in the shared floral landscape is critical for reducing parasite spillover into declining native bee populations.</p>
Fig. 16 in Bumblebees with big teeth: revising the subgenus Alpigenobombus with the good, the bad and the ugly of numts (Hymenoptera: Apidae)
Fig. 16. BEAST estimate of species' dated phylogeny as an ultrametric tree (outgroup B. festivus Smith, 1861, not shown) from six genes for the subgenus Alpigenobombus Skorikov, 1914. All nodes have support values> 0.98. Numbers at nodes are estimates of the age of a node in Ma before the present, with grey node bars representing the 95% highest posterior density interval of the age estimates.
Figs 1‒9 in Bumblebees with big teeth: revising the subgenus Alpigenobombus with the good, the bad and the ugly of numts (Hymenoptera: Apidae)
Figs 1‒9. Individuals of the subgenus Alpigenobombus Skorikov, 1914 (with photo credits). 1. Bombus mastrucatus Gerstaecker, 1869, worker Norway robbing (P. Haringsma). 2. B. kashmirensis Friese, 1909 s. str., worker China-Sichuan robbing (PW). 3. B. kashmirensis (taxon meinertzhageni Richards, 1928) worker India-Kashmir-Zanskar (PW). 4. B. sikkimi Friese, 1918, worker India-Arunachal (MS). 5. B. nobilis Friese, 1905 s. str., worker China-Yunnan (ZR). 6. B. genalis Friese, 1918, worker India-Arunachal (MS). 7. B. breviceps Smith, 1852 (taxon dentatus Handlirsch, 1888) worker ChinaYunnan (PW). 8. B. breviceps (taxon channicus Gribodo, 1892) worker Thailand (CT). 9. B. grahami (Frison, 1933) worker India-Arunachal (MS). Some images reversed.
Figs 106–115 in Bumblebees with big teeth: revising the subgenus Alpigenobombus with the good, the bad and the ugly of numts (Hymenoptera: Apidae)
Figs 106–115. Morphology of the male genitalia for species of the subgenus Alpigenobombus Skorikov, 1914, from the dorsal aspect, anterior at the bottom of the image, posterior at the top. 106. Bombus wurflenii Radoszkowski, 1860, Turkey. 107. B mastrucatus Gerstaecker, 1869, Austria. 108. B. kashmirensis Friese, 1909, India-Kashmir. 109. B. rainai Williams, 2022, India-Kashmir. 110. B. sikkimi Friese, 1918, Nepal. 111. B. nobilis Friese, 1905, China-Sichuan. 112. B. validus Friese, 1905, China-Gansu. 113. B. genalis Friese, 1918, China-Yunnan. 114. B. breviceps Smith, 1852, ChinaSichuan. 115. B. grahami (Frison, 1933) China-Sichuan (left penis-valve recurved hook missing). Scale bars = 1 mm.
Figs 13–15 in Bumblebees with big teeth: revising the subgenus Alpigenobombus with the good, the bad and the ugly of numts (Hymenoptera: Apidae)
Figs 13–15. Distribution of the barcoded samples (and matching haplotypes) of the subgenus Alpigenobombus Skorikov, 1914, from Fig. 10 with their interpretation as the 11 species from Fig. 12 and from the associated morphology in the keys, shown as differently coloured spots as in the colour keys on the left, to indicate the approximate relative range extent among the species. 13. The wurflenii- group and kashmirensis-group. 14. The nobilis-group. 15. The breviceps-group. Relief map with hill shading, Cartesian orthonormal projection, the international boundaries shown as narrow grey lines. Images created in ArcGIS using World_Shaded_Relief basemap which is Copyright: ©2014 Esri.
Fig. 17. Diagram representing a in Bumblebees with big teeth: revising the subgenus Alpigenobombus with the good, the bad and the ugly of numts (Hymenoptera: Apidae)
Fig. 17. Diagram representing a corridor-dispersal model, encompassing a set of short-distance dispersal events permitted (in either direction) between the proposed areas of endemism, based on unique taxa, the geographical proximity of these areas, and the likely disposition of corridors with suitable habitat and favourable climates in the past.
Fig. 12 in Bumblebees with big teeth: revising the subgenus Alpigenobombus with the good, the bad and the ugly of numts (Hymenoptera: Apidae)
Fig. 12. Interpretation of filtered MrBayes estimate of phylogeny as a metric tree (outgroup B. festivus Smith, 1861, not shown) for the subgenus Alpigenobombus Skorikov, 1914, from COI-like sequences from the sequences identified in black and orange in Fig. 11 together with Bayesian Poisson-tree-process (PTP) models re-applied for assessing support for species' gene coalescents by maximum likelihood (for the 11 most likely candidate species). The scale bar is calibrated in substitutions per nucleotide site. Sequence labels and branch colours as in Fig. 10. Numbers above nodes are the Bayesian support values that all daughter haplotypes are parts of a single species. Grey spots show likely mitochondrial-to-nuclear transfers of the low-divergence numts accepted for estimating this tree. Asterisks mark sequences used as informal proxies for the type specimens of each of the taxon names in Table 2. To the right in grey are shown the interpretations of the PTP results as candidate species using the oldest available names for the species.
Figs 19–105 in Bumblebees with big teeth: revising the subgenus Alpigenobombus with the good, the bad and the ugly of numts (Hymenoptera: Apidae)
Figs 19–105 (see pages 28–29). Simplified diagrams for the colour patterns of the hair on the dorsum for particular female (f) and male (m) specimens of the species from Fig. 12. The dorsum is divided into regions, each of which shows only the predominant or most apparent colour for that region, using a simplified colour palette, with olive indicating a mixture of black and yellow hair, and grey indicating a mixture of black and white hair.
Economic foraging in a floral marketplace: Asymmetrically dominated decoy effects in bumblebees
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Soil and herbivory alters genomic adaptation to bumblebee pollination
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Ten-a-day: bumblebee pollen loads reveal high consistency in foraging breadth among species, sites, and seasons
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Heather nectar extracts reduce within-colony epidemics of the bumblebee parasite <em>Crithidia bombi</em>
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BEE-STEWARD: a research and decision support software for effective land management to promote bumblebee populations
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No severe genetic bottleneck in a rapidly range-expanding bumblebee pollinator
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Data from: Prior associations affect bumblebees’ generalization performance in a tool-selection task
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Data from: Honeybee visitation to shared flowers increases Vairimorpha ceranae prevalence in bumblebees
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Data for: Experimental elevated temperature affects bumblebee foraging and flight speed
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Electroretinogram data and thermographic data from walking and sitting bumblebees
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Data from: Edge effects and mating patterns in a bumblebee-pollinated plant
<p></p><p>Researchers have long assumed that plant spatial location influences plant reproductive success and pollinator foraging behavior. For example, many flowering plant populations have small, linear, or irregular shapes that increase the proportion of plants on the edge, which may reduce mating opportunities through both male and female function. Additionally, plants that rely on pollinators may be particularly vulnerable to edge effects if those pollinators exhibit restricted foraging and pollen carryover is limited. To explore the effects of spatial location (edge vs. interior) on siring success, seed production, pollinator foraging patterns, and pollen-mediated gene dispersal, we established a square experimental array of 49 Mimulus ringens (monkeyflower) plants. We observed foraging patterns of pollinating bumblebees and used paternity analysis to quantify male and female reproductive success and mate diversity for plants on the edge vs. interior. We found no significant differences between edge and interior plants in the number of seeds sired, mothered, or the number sires per fruit. However, we found strong differences in pollinator behavior based on plant location, including 15% lower per flower visitation rates and substantially longer interplant moves for edge plants. This translated into 40% greater pollen-mediated gene dispersal for edge than for interior plants. Overall, our results suggest that edge effects are not as strong as is commonly assumed, and that different plant reproduction parameters respond to spatial location independently.</p><p></p>
Chernobyl-level radiation exposure damages bumblebee reproduction: a laboratory experiment
The consequences for wildlife of living in radiologically contaminated environments are uncertain. Previous laboratory studies suggest insects are relatively radiation-resistant; however, some field studies from the Chernobyl Exclusion Zone report severe adverse effects at substantially lower radiation dose rates than expected. Here we present the first laboratory investigation to study how environmentally-relevant radiation exposure affects bumblebee life-history, assessing the shape of the relationship between radiation exposure and fitness-loss. Dose rates comparable to the Chernobyl Exclusion Zone (50-400 µGy h-1) impaired bumblebee reproduction and delayed colony growth but did not affect colony weight or longevity. Our best-fitting model for the effect of radiation dose rate on colony queen production had a strongly non-linear concave relationship: exposure to only 100 µGy h-1 impaired reproduction by 30-45%, while further dose rate increases caused more modest additional reproductive impairment. Our data indicate that the practice of estimating effects of environmentally-relevant low dose rate exposure by extrapolating from high dose rates may have considerably underestimated the effects of radiation. If our data can be generalised, they suggest insects suffer significant negative consequences at dose rates previously thought safe; we therefore advocate relevant revisions to the international framework for radiological protection of the environment.
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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)
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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.