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13 results for “Housefly”
Fig. 2 in Houseflies speaking for the conservation of natural areas: a broad sampling of Muscidae (Diptera) on coastal plains of the Pampa biome, Southern Brazil
Fig. 2. Sample coverage curves based on the number of individuals of Muscidae per region in the Coastal Plain (CPPB) of Rio Grande do Sul, Brazil. The grey shaded area represents the confidence intervals. (a) region 1; (b) region 2; (c) region 3; (d) region 4; (e) region 5; (f) CPPB total.
Fig. 3 in Houseflies speaking for the conservation of natural areas: a broad sampling of Muscidae (Diptera) on coastal plains of the Pampa biome, Southern Brazil
Fig. 3. Compositional differences between Muscidae (Insecta, Diptera) assemblages of all five regions of the Coastal Plain of Pampa Biome (Rio Grande do Sul, Brazil) shown by the unweighted pair-group method using arithmetic averages (UPGMA) cluster analysis.
Fig. 3 in Houseflies of the Tristan da Cunha Islands: new records, including the first for Fannia albitarsis S , 1911 (Diptera: Fanniidae, Muscidae)
Fig. 3: A Lesser Housefly, Fannia albitarsis STEIN, 1911. A lateral view of the female specimen collected from the potato patches on Tristan da Cunha in 2005. Photograph taken by Ch. Hänel.
Fig. 1 in Houseflies of the Tristan da Cunha Islands: new records, including the first for Fannia albitarsis S , 1911 (Diptera: Fanniidae, Muscidae)
Fig. 1: Places on Tristan da Cunha Island where Muscidae and Fanniidae were collected in 2005. The circled digits 2, 7 & 9 represent the sites where samples were obtained. Map drawn by Ch. Hänel.
Fig. 2 in Houseflies of the Tristan da Cunha Islands: new records, including the first for Fannia albitarsis S , 1911 (Diptera: Fanniidae, Muscidae)
Fig. 2: Places on Nightingale Island where Muscidae and Fanniidae were collected in 2005. The expanded digits on the perimeter point to the sites (circled) where samples were obtained. Map drawn by Ch. Hänel.
Integrated genome-wide investigations of the housefly, a global vector of diseases reveal unique dispersal patterns and bacterial communities across farms
<p><span><span><span><span><span><span><span><span><span><span><span><b>Background:</b>Houseflies (<i>Musca domestica</i>L.) live in intimate association with numerous microorganisms and is a vector of human pathogens. In temperate areas, houseflies will<span>overwinter in environments constructed by humans and recolonize surrounding areas in early summer. However, the </span>dispersal patterns and associated bacteria across season and location are unclear.We used genotyping-by-sequencing (GBS) for the simultaneous identification and genotyping of thousands of Single Nucleotide Polymorphisms (SNPs) to establish dispersal patterns of houseflies across farms. Secondly, we used16S rRNA gene amplicon sequencing to establish the variation and association between bacterial communities and the housefly across farms. </span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><b>Results: </b>Using GBS we identified 18,000 SNPs across 400 individualssampled within and between 11 dairy farms in Denmark. There was evidence for sub-structuring of Danish housefly populations and with genetic structure that differed across season and sex. Further, there was a strong isolation by distance (IBD) effect, but with large variation suggesting that other hidden geographic barriers are important. Large individual variations were observed in the community structure of the microbiome and it was found to be dependent on location, sex, and collection time. Furthermore, the relative prevalence of putative pathogens was highly dependent on location and collection time.</span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><b>Conclusion:</b>We were able to identify SNPs for the determination of the spatiotemporal housefly genetic structure, and to establish the variation and association between bacterial communities and the housefly across farms using novel <span>next</span><span>‐</span><span>generation sequencing (NGS)</span>techniques. These results are important for disease prevention given the fine-scale population structure and IBD for the housefly, and that individual houseflies carry location specific bacteria including putative pathogens. </span></span></span></span></span></span></span></span></span></span></span></p>
Integrated genome-wide investigations of the housefly, a global vector of diseases reveal unique dispersal patterns and bacterial communities across farms
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Data on: contrasting manual and automated assessment of larval body size and thermal stress responses in black soldier flies and houseflies
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Data from: Landing maneuvers of houseflies on vertical and inverted surfaces
Landing maneuvers of flies are complex behaviors which can be conceptually decomposed into sequences of modular actions, including body-deceleration, leg-extension, and body rotations. These behavioral 'modules' must be coordinated to ensure well-controlled landing. The composite nature of these behaviors induces kinematic variability, making it difficult to identify the central rules that govern landing. Many previous studies have relied on tethered preparations to study landing behaviors, but tethering induces experimental artefacts by forcing some behaviors to operate in open-feedback control loop while others remain closed-loop. On the other hand, freely-flying insects are harder to precisely control, and hence inherently prone to behavioral variability. One approach towards understanding general mechanisms of landing is to determine the common elements of their kinematics on surfaces of different orientations. We conducted a series of experiments in which the houseflies, Musca domestica, were lured to land on vertical (vertical landings) or inverted (inverted landings) substrates, while their flight was recorded with multiple high-speed cameras. We observed that, in both cases, well-controlled landings occurred when the distance at which flies initiated deceleration was proportional to flight velocity component in the direction of substrate. The ratio of substrate distance and velocity at onset of deceleration (tau) was conserved, despite substantial differences in mechanics of vertical vs. inverted landings. When these conditions were not satisfied, their landing performance was compromised, causing their heads to collide into the substrate. Unlike body-deceleration, leg-extension in flies was independent of substrate distance or approach velocity. Thus, the robust reflexive visual initiation of deceleration is independent of substrate orientation, and combines with a more variable initiation of leg-extension which depends on surface orientation. Together, these combinations of behaviors enable flies to land in a versatile manner on substrates of various orientations.
Fig. 5 in Houseflies speaking for the conservation of natural areas: a broad sampling of Muscidae (Diptera) on coastal plains of the Pampa biome, Southern Brazil
Fig. 5. Graphical representation of proportional richness (a) and abundance (b) by the guild in the five regions of Coastal Plain of Pampa Biome (Rio Grande do Sul, Brazil). SS, saprophagous larvae and saprophagic/hematophagous adults; SPS, facultative predators/parasitic larvae and saprophagous adults; OS, predatory larvae and saprophagous adults; PP, predatory larvae and adults.
Data from: Landing maneuvers of houseflies on vertical and inverted surfaces
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Impacts of the Hytrosavirus on the Transcriptome of the Housefly, Musca domestica
GEO Series GSE88939. Musca domestica. 6 samples. Type: Expression profiling by high throughput sequencing.
Transcriptome analysis of insecticide resistant housefly strain: insights about SNPs and regulatory elements in differentially expressed cytochrome P450 genes
GEO Series GSE65891. Musca domestica. 8 samples. Type: Expression profiling by high throughput sequencing.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.