Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
70
datasets available to search
ShareScore release 0.9.0
Dataset results
70 results for “wing shape”
Data from: Bird predation selects for wing shape and coloration in a damselfly
Open the record for dataset details and reuse information.
Data from: Cross-sex genetic covariances limit the evolvability of wing-shape within and among species of Drosophila
The independent evolution of males and females is potentially constrained by both sexes inheriting the same alleles from their parents. This genetic constraint can limit the evolvability of complex traits; however, there are few studies of multivariate evolution that incorporate cross-sex genetic covariances in their predictions. Drosophila wing-shape has emerged as a model high-dimensional phenotype; wing-shape is highly evolvable in contemporary populations, and yet perplexingly stable across phylogenetic timescales. Here we show that cross-sex covariances in D. melanogaster, given by the B-matrix, may considerably bias wing-shape evolution. Using random skewers, we show that B would constrain the response to antagonistic selection by 90%, but would double the response to concordant selection. Both cross-sex within-trait and cross-sex cross-trait covariances determined the response to antagonistic selection, but only cross-sex within-trait covariances facilitated the response to concordant selection. Similar patterns were observed when selection was applied in the direction of extant sexual dimorphism in D. melanogaster, and in directions of most and least dimorphic variation across the Drosophila phylogeny. Our results highlight the importance of considering between-sex genetic covariances when making predictions about evolution on both macro- and micro- evolutionary timescales, and may provide one more explanatory piece in the puzzle of stasis.
Data from: Enhanced flight performance by genetic manipulation of wing shape in Drosophila
Insect wing shapes are remarkably diverse and the combination of shape and kinematics determines both aerial capabilities and power requirements. However, the contribution of any specific morphological feature to performance is not known. Using targeted RNA interference to modify wing shape far beyond the natural variation found within the population of a single species, we show a direct effect on flight performance that can be explained by physical modelling of the novel wing geometry. Our data show that altering the expression of a single gene can significantly enhance aerial agility and that the Drosophila wing shape is not, therefore, optimized for certain flight performance characteristics that are known to be important. Our technique points in a new direction for experiments on the evolution of performance specialities in animals.
Data from: Qualitative skeletal correlates of wing shape in extant birds (Aves: Neoaves)
Background: Among living fliers (birds, bats, and insects), birds display relatively high aspect ratios, a dimensionless shape variable that distinguishes long and narrow vs. short and broad wings. Increasing aspect ratio results in a functional tradeoff between low induced drag (efficient cruise) and increased wing inertia (difficult takeoff). Given the wide scope of its functional effects, the pattern of aspect ratio evolution is an important factor that contributes to the substantial ecological and phylogenetic diversity of living birds. However, because the feathers that define the wingtip (and hence wingspan and aspect ratio) often do not fossilize, resolution in the pattern of avian wing shape evolution is obscured by missing information. Here I use a comparative approach to investigate the relationship between skeletal proxies of flight feather attachment and wing shape. Results: An accessory lobe of the internal index process of digit II-1, a bony correlate of distal primary attachment, shows weak but statistically significant relationships to aspect ratio and mass independent of other skeletal morphology. The dorsal phalangeal fossae of digit II-1, which house distal primaries VIII and IX, also show a trend of increased prominence with higher aspect ratio. Quill knobs on the ulna are examined concurrently, but do not show consistent signal with respect to wing shape. Conclusions: Although quill knobs are cited as skeletal correlates of flight performance in birds, their relationship to wing shape is inconsistent among extant taxa, and may reflect diverging selection pressures acting on a conserved architecture. In contrast, correlates of distal primary feather attachment on the major digit show convergent responses to increasing aspect ratio. In light of the diversity of musculoskeletal and integumentary mophology that underlies wing shape in different avian clades, it is unlikely that a single skeletal feature will show consistent predictive power across Neoaves. Confident inference of wing shape in basal ornithurine birds will require multiple lines of evidence, together with an understanding of clade-specific evolutionary trends within the crown.
Data from: Epidermal growth factor receptor and transforming growth factor-beta signaling contributes to variation for wing shape in Drosophila melanogaster
Wing development in Drosophila is a common model system for the dissection of genetic networks and their roles during development. In particular, the RTK and TGF-beta regulatory networks appear to be involved with numerous aspects of wing development, including patterning, cell determination, growth, proliferation, and survival in the developing imaginal wing disc. However, little is known as to how subtle changes in the function of these genes may contribute to quantitative variation for wing shape, per se. In this study 50 insertional mutations, representing 43 loci in the RTK, Hedgehog, TGF-beta pathways, and their genetically interacting factors were used to study the role of these networks on wing shape. To concurrently examine how genetic background modulates the effects of the mutation, each insertion was introgressed into two wild-type genetic backgrounds. Using geometric morphometric methods, it is shown that the majority of these mutations have profound effects on shape but not size of the wing when measured as heterozygotes. To examine the relationships between how each mutation affects wing shape hierarchical clustering was used. Unlike previous observations of environmental canalization, these mutations did not generally increase within-line variation relative to their wild-type counterparts. These results provide an entry point into the genetics of wing shape and are discussed within the framework of the dissection of complex phenotypes.
Data from: Cellular basis of morphological variation and temperature-related plasticity in Drosophila melanogaster strains with divergent wing shapes
Organ shape evolves through cross-generational changes in developmental patterns at cellular and/or tissue levels that ultimately alter tissue dimensions and final adult proportions. Here, we investigated the cellular basis of an artificially selected divergence in the outline shape of Drosophila melanogaster wings, by comparing flies with elongated or rounded wing shapes but with remarkably similar wing sizes. We also tested whether cellular plasticity in response to developmental temperature was altered by such selection. Results show that variation in cellular traits is associated with wing shape differences, and that cell number may play an important role in wing shape response to selection. Regarding the effects of developmental temperature, a size-related plastic response was observed, in that flies reared at 16 °C developed larger wings with larger and more numerous cells across all intervein regions relative to flies reared at 25 °C. Nevertheless, no conclusive indication of altered phenotypic plasticity was found between selection strains for any wing or cellular trait. We also described how cell area is distributed across different intervein regions. It follows that cell area tends to decrease along the anterior wing compartment and increase along the posterior one. Remarkably, such pattern was observed not only in the selected strains but also in the natural baseline population, suggesting that it might be canalized during development and was not altered by the intense program of artificial selection for divergent wing shapes.
Fig. 7 in A geometric morphometric study of the wing shapes of Pieris rapae (Lepidoptera: Pieridae) from the Qinling Mountains and adjacent regions: An environmental and distance-based consideration
Fig. 7. Correlations between the geographical distances and the Euclidean distances between the mean values of the forewing shapes (strong positive correlation, P <0.001, r = 0.58) and the hind wing shapes (strong positive correlation, P <0.001, r = 0.78).
Fig. 4 in Wing shape is influenced by environmental variability in Polietina orbitalis (Stein) (Diptera: Muscidae)
Fig. 4. Graphic reconstruction of the wing shape of individuals with (A) positive and (B) negative scores on the first canonical axis (CV1, increased 10 times). The lines in gray represent the average configuration of the wing, and those in black represent the canonical first variable.
Data from: No effect of environmental heterogeneity on the maintenance of genetic variation in wing shape in Drosophila melanogaster
Open the record for dataset details and reuse information.
Data from: Sexual conflict in wing size and shape in Drosophila melanogaster
Open the record for dataset details and reuse information.
Data from: Qualitative skeletal correlates of wing shape in extant birds (Aves: Neoaves)
Open the record for dataset details and reuse information.
Data from: Properties of spontaneous mutational variance and covariance for wing size and shape in Drosophila melanogaster
Open the record for dataset details and reuse information.
Data from: Wasp waist and flight: convergent evolution in wasps reveals a link between wings and body shapes
Open the record for dataset details and reuse information.
Data from: Epidermal growth factor receptor and transforming growth factor-beta signaling contributes to variation for wing shape in Drosophila melanogaster
Open the record for dataset details and reuse information.
Data from: The effects of weak genetic perturbations on the transcriptome of the wing imaginal disc, and its association with wing shape in Drosophila melanogaster
Open the record for dataset details and reuse information.
Data from: Cruising the rain forest floor: butterfly wing shape evolution and gliding in ground effect
Open the record for dataset details and reuse information.
Data from: Cellular basis of morphological variation and temperature-related plasticity in Drosophila melanogaster strains with divergent wing shapes
Open the record for dataset details and reuse information.
Data from: Habitat variation and wing coloration affects wing shape evolution in dragonflies
Open the record for dataset details and reuse information.
Data from: Cross-sex genetic covariances limit the evolvability of wing-shape within and among species of Drosophila
Open the record for dataset details and reuse information.
Data from: Enhanced flight performance by genetic manipulation of wing shape in Drosophila
Open the record for dataset details and reuse information.
ScienceDex guides
Understand access before you commit
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.