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9 results for “Africanized honey bee”
Fig. 2 in Can the environment influence varroosis infestation in Africanized honey bees in a Neotropical region?
Fig. 2. Biplot of canonical discriminator of temperature (°C), rainfall (mm), altitude (m), and Varroa destructor infestation level (%) from Bahia State mesoregions, Brazil. BA1: São Francisco Valley; BA2: Middle East; BA3: Metropolitan of Salvador; BA4: South Center; BA5: South.
Fig. 1 in Can the environment influence varroosis infestation in Africanized honey bees in a Neotropical region?
Fig. 1. Cities (black squares) where the apiaries are located from 5 different mesoregions in Bahia State, Brazil. BA1: São Francisco Valley; BA2: Middle East; BA3: Metropolitan of Salvador; BA4: South Center; BA5: South.
Fig. 3 in Can the environment influence varroosis infestation in Africanized honey bees in a Neotropical region?
Fig. 3. Contribution of the variables in the first canonical discriminant function from temperature (°C), rainfall (mm), altitude (m), and Varroa destructor infestation level (%) from 5 different mesoregions in Bahia State,Brazil.BA1: São Francisco Valley; BA2: Middle East; BA3: Metropolitan of Salvador; BA4: South Center; BA5: South.
Fig. 1 in Current status of Acarapis woodi mite infestation in Africanized honey bee Apis mellifera in Brazil
Fig. 1. States evaluated for the presence of Acarapis woodi in Brazil. The blank area represents the states not surveyed; dark grey areas show the states surveyed in this study which presented negative results (circles with negative sign); light grey areas show previous studies from the 1970s.
African elephant responses to synthetic honey bee alarm pheromone
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Apis mellifera wing images (Africanized honey bees)
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Admixture in Africanized honey bees (Apis mellifera) from Panamá to San Diego, California (U.S.A.) honey bee dataset
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Data from: Two extended haplotype blocks are associated with adaptation to high altitude habitats in East African honey bees
Understanding the genetic basis of adaption is a central task in biology. Populations of the honey bee Apis mellifera that inhabit the mountain forests of East Africa differ in behavior and morphology from those inhabiting the surrounding lowland savannahs, which likely reflects adaptation to these habitats. We performed whole genome sequencing on 39 samples of highland and lowland bees from two pairs of populations to determine their evolutionary affinities and identify the genetic basis of these putative adaptations. We find that in general, levels of genetic differentiation between highland and lowland populations are very low, consistent with them being a single panmictic population. However, we identify two loci on chromosomes 7 and 9, each several hundred kilobases in length, which exhibit near fixation for different haplotypes between highland and lowland populations. The highland haplotypes at these loci are extremely rare in samples from the rest of the world. Patterns of segregation of genetic variants suggest that recombination between haplotypes at each locus is suppressed, indicating that they comprise independent structural variants. The haplotype on chromosome 7 harbors nearly all octopamine receptor genes in the honey bee genome. These have a role in learning and foraging behavior in honey bees and are strong candidates for adaptation to highland habitats. Molecular analysis of a putative breakpoint indicates that it may disrupt the coding sequence of one of these genes. Divergence between the highland and lowland haplotypes at both loci is extremely high suggesting that they are ancient balanced polymorphisms that greatly predate divergence between the extant honey bee subspecies.
Data from: Two extended haplotype blocks are associated with adaptation to high altitude habitats in East African honey bees
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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.
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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.