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Dataset results
18 results for “Bee brains”
Bees need larger brains to thrive in urban environments
<p>The rapid conversion of natural habitats to anthropogenic landscapes is threatening insect pollinators worldwide, raising concern on the negative consequences for their fundamental role as plant pollinators. However, not all pollinators are negatively affected by habitat conversion, as certain species find in anthropogenic landscapes appropriate resources to persist and proliferate. The reason why some species thrive in anthropogenic environments while most find them inhospitable remains poorly understood. The cognitive buffer hypothesis, widely supported in vertebrates but untested in insects, offers a potential explanation. This theory suggests that species with larger brains have enhanced behavioural plasticity, enabling them to confront and adapt to novel challenges. To investigate this hypothesis in insects, we measured brains for 89 bee species, and evaluated the association between brain size and habitat preferences. Our analyses revealed that bee species that prefer urban habitats had larger brains relative to their body size than those who prefer forested or agricultural habitats. Additionally, urban bees exhibited larger body sizes and, consequently, larger absolute brain sizes. Our results provide the first empirical support for the cognitive buffer hypothesis in invertebrates, suggesting that a large brain in bees could confer behavioural advantages to tolerate urban environments.</p>
Brain size predicts bees’ tolerance to urban environments
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Pigment-Dispersing Factor expressing neurons provide an infrastructure for conveying circadian information in the honey bee brain
<p>A movie of a 360° view of the 3D-reconstructed PDF (Pigment Dispersing Factor) network in the honey bee brain. (avi file to be opened with for example Fiji ImageJ)</p>
Data from: Feeding specialisation and longer generation time are associated with relatively larger brains in bees
<p>Despite their miniature brains, insects exhibit substantial variation in brain size. Although the functional significance of this variation is increasingly recognized, research on whether differences in insect brain sizes are mainly the result of constraints or selective pressures has hardly been performed. Here, we address this gap by combining prospective and retrospective phylogenetic-based analyses of brain size for a major insect group, bees (superfamily Apoidea). Using a brain dataset of 93 species from North America and Europe, we found that body size was the single best predictor of brain size in bees. However, the analyses also revealed that substantial variation in brain size remained even when adjusting for body size. We consequently asked whether such variation in relative brain size might be explained by adaptive hypotheses. We found that ecologically specialized species with single generations have larger brains —relative to their body size— than generalist or multi-generation species, but we did not find an effect of sociality on relative brain size. Phylogenetic reconstruction further supported the existence of different adaptive optima for relative brain size in lineages differing in feeding specialisation and reproductive strategy. Our findings shed new light on the evolution of the insect brain, highlighting the importance of ecological pressures over social factors and suggesting that these pressures are different from those previously found to influence brain evolution in other taxa.</p>
Data from: Feeding specialisation and longer generation time are associated with relatively larger brains in bees
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Brain size predicts learning abilities in bees
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Pollen diet mediates how pesticide exposure impacts brain gene expression in nest-founding bumble bee queens
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Next Generation Sequencing Facilitates Quantitative Analysis of Honey Bee Brain Transcriptomes Treated by Dinotefuran
GEO Series GSE168740. Apis mellifera. 18 samples. Type: Expression profiling by high throughput sequencing.
The effect of the brood and the queen on early gene expression in bumble bee workers' brains
GEO Series GSE196471. Bombus impatiens. 24 samples. Type: Expression profiling by high throughput sequencing.
Effects of flight on gene expression and aging in the honey bee brain and flight muscle
GEO Series GSE40650. Apis mellifera. 20 samples. Type: Expression profiling by array.
Analysis of the honey bee brain transcriptome from nurses and forager bees
GEO Series GSE64315. Apis mellifera. 2 samples. Type: Expression profiling by high throughput sequencing.
Brain transcriptomics of honey bee parasitized by Varroa destructor or Nosema ceranae
GEO Series GSE41109. Apis mellifera. 6 samples. Type: Expression profiling by high throughput sequencing.
Brain transcriptomic differences in response to social opportunity and social challenge in honey bees
GEO Series GSE113132. Apis mellifera. 184 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Identification of Mblk-1-binding DNA regions in honey bee brains by ChIP-seq.
GEO Series GSE173409. Apis mellifera. 8 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Brain regions and molecular pathways responding to food reward type and value in honey bees
GEO Series GSE130701. Apis mellifera. 39 samples. Type: Expression profiling by high throughput sequencing.
The gene vitellogenin affects microRNA regulation in honey bee (Apis mellifera) fat body and brain
GEO Series GSE44917. Apis mellifera. 24 samples. Type: Non-coding RNA profiling by array.
Defense against territorial intrusion is associated with DNA methylation changes in the honey bee brain
GEO Series GSE104994. Apis mellifera ligustica. 24 samples. Type: Methylation profiling by high throughput sequencing.
Mushroom body RNA-Sequencing of the honey bee brain
GEO Series GSE208676. Apis mellifera. 176 samples. Type: Expression profiling by high throughput sequencing.
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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.