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43 results for “Insect wing”
Data from: Aerobatic maneuvers in insect-scale flapping-wing aerial robots via deep-learned robust tube model predictive control
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Data from: Persistent inner tepals and wings protect developing seeds of Rheum nanum from insect herbivory in Central Asian cold deserts
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A polar insect’s tale: observations on the life cycle of Parochlus steinenii, the only winged midge native to Antarctica
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Data from: Thermal plasticity in protective wing pigmentation is modulated by genotype and food availability in an insect model of seasonal polyphenism
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Out from under the wing: reconceptualizing the insect wing gene regulatory network as a versatile, general module for body-wall lobes in arthropods
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Threshold-dependent gene regulation and partial assortative mating determine wing dimorphism of an Insect
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Data from: Ecological gradients drive insect wing loss and speciation: the role of the alpine treeline
Alpine ecosystems are frequently characterised by an abundance of wing-reduced insect species, but the drivers of this biodiversity remain poorly understood. Insect wing reduction in these environments has variously been attributed to altitude, temperature, isolation, habitat stability, or decreased habitat size. We used fine-scale ecotypic and genomic analyses, along with broad-scale distributional analyses of ecotypes, to unravel the ecological drivers of wing reduction in the wing-dimorphic stonefly Zelandoperla fenestrata complex. Altitudinal transects within populations revealed dramatic wing reduction over very fine spatial scales, tightly linked to the alpine treeline. Broad biogeographic analyses confirm that the treeline has a much stronger effect on these ecotype distributions than altitude per se. Molecular analyses revealed parallel genomic divergence between vestigial-winged (high altitude) and full-winged (low altitude) ecotypes across distinct streams. These data thus highlight the role of the alpine treeline as a key driver of rapid speciation, providing a new model for ecological diversification along exposure gradients
Data from: Insect wing loss is tightly linked to the treeline: evidence from a diverse stonefly assemblage
The secondary loss of flight in previously winged insect lineages has long fascinated biologists. Habitat stability and isolation are thought to play important roles in driving wing reduction (Roff 1990, 1994), with exposure to high winds suggested to accelerate this process (Darwin 1859), although the role exposure plays in insect wing loss has never been empirically demonstrated. Here we assess fine-scale distributional records from a diverse regional stonefly assemblage, to demonstrate a widespread association between wing loss and the treeline in New Zealand. The observed pattern suggests that exposure plays a crucial role driving wing loss in alpine insects.
FIGURE 3 in Zorotypus hukawngi sp. nov., a Fossil Winged Zoraptera (Insect) in Burmese Amber
FIGURE 3. Zorotypus hukawngi sp. nov., holotype (CSCLRCAB100005). A. Head with right antenna. B. Left antenna. C. Forebody with forewings. D. Left metafemur. Abbreviations: 1–7 = metafemoral spines 1–7; a1–a8 = antennomeres I–VIII; msn = mesonotum; mtn = metanotum; prn = pronotum. Scale bars: 0.1mm.
FIGURE 2 in Zorotypus hukawngi sp. nov., a Fossil Winged Zoraptera (Insect) in Burmese Amber
FIGURE 2. Ventral habitus of Zorotypus hukawngi sp. nov., female. Abbreviations: fw = forewing; hw = hindwing. Scale bar: 1.0 mm.
FIGURE 4 in Zorotypus hukawngi sp. nov., a Fossil Winged Zoraptera (Insect) in Burmese Amber
FIGURE 4. Zorotypus hukawngi sp. nov., holotype (CSCLRCAB100005). A. Left metatibia. B. Claws. C. Cerci with apical spinelike setae. D. Forewing with jugate setae. Abbreviations: a, b = metatibial spines a, b; fjs = jugate setae of forewing. Scale bars: 0.1 mm.
Data from: Neural evidence supports a dual sensory-motor role for insect wings
Flying insects use feedback from various sensory modalities including vision and mechanosensation to navigate through their environment. The rapid speed of mechanosensory information acquisition and processing compensates for the slower processing times associated with vision, particularly under low light conditions. While halteres in dipteran species are well known to provide such information for flight control, less is understood about the mechanosensory roles of their evolutionary antecedent, wings. The features that wing mechanosensory neurons (campaniform sensilla) encode remains relatively unexplored. We hypothesized that the wing campaniform sensilla of the hawkmoth, Manduca sexta, rapidly and selectively extract mechanical stimulus features in a manner similar to halteres. We used electrophysiological and computational techniques to characterize the encoding properties of wing campaniform sensilla. To accomplish this, we developed a novel technique for localizing receptive fields using a focused IR laser that elicits changes in the neural activity of mechanoreceptors. We found that (i) most wing mechanosensors encoded mechanical stimulus features rapidly and precisely, (ii) they are selective for specific stimulus features, and (iii) there is diversity in the encoding properties of wing campaniform sensilla. We found that the encoding properties of wing campaniform sensilla are similar to those for haltere neurons. Therefore, it appears that the neural architecture that underlies the haltere sensory function is present in wings, which lends credence to the notion that wings themselves may serve a similar sensory function. Thus, wings may not only function as the primary actuator of the organism but also as sensors of the inertial dynamics of the animal.
Data from: Neural evidence supports a dual sensory-motor role for insect wings
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Data from: Ecological gradients drive insect wing loss and speciation: the role of the alpine treeline
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Data from: Insect wing loss is tightly linked to the treeline: evidence from a diverse stonefly assemblage
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Data from: Reproduction in flame azalea (Rhododendron calendulaceum, Ericaceae): a rare case of insect wing pollination
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Supplementary material 4 from: Jin S, Parks KS, Janzen DH, Hallwachs W, Dyer LA, Whitfield JB (2023) The wing interference patterns (WIPs) of Parapanteles (Braconidae, Microgastrinae): demonstrating a powerful and accessible tool for species-level identification of small and clear winged insects. Journal of Hymenoptera Research 96: 967-982. https://doi.org/10.3897/jhr.96.111382
Data files and R code
Supplementary material 3 from: Jin S, Parks KS, Janzen DH, Hallwachs W, Dyer LA, Whitfield JB (2023) The wing interference patterns (WIPs) of Parapanteles (Braconidae, Microgastrinae): demonstrating a powerful and accessible tool for species-level identification of small and clear winged insects. Journal of Hymenoptera Research 96: 967-982. https://doi.org/10.3897/jhr.96.111382
Wing interference patterns
Supplementary material 2 from: Jin S, Parks KS, Janzen DH, Hallwachs W, Dyer LA, Whitfield JB (2023) The wing interference patterns (WIPs) of Parapanteles (Braconidae, Microgastrinae): demonstrating a powerful and accessible tool for species-level identification of small and clear winged insects. Journal of Hymenoptera Research 96: 967-982. https://doi.org/10.3897/jhr.96.111382
Qualitative descriptions and materials examined for Parapanteles species included in this study
Supplementary material 1 from: Jin S, Parks KS, Janzen DH, Hallwachs W, Dyer LA, Whitfield JB (2023) The wing interference patterns (WIPs) of Parapanteles (Braconidae, Microgastrinae): demonstrating a powerful and accessible tool for species-level identification of small and clear winged insects. Journal of Hymenoptera Research 96: 967-982. https://doi.org/10.3897/jhr.96.111382
Taxonomic summary of published wing interference pattern images and/or descriptions
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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.