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553 results for “damselflies”
Damselfly survey data 2022
<p>Dataset containing survey data recorded in May/June 2022 for a selection of small ponds in Scotland, with a focus on damselfly larvae in artifical ponds</p>
The genomic response to urbanization in the damselfly Ischnura elegans
<p>The complex and rapid environmental changes brought about by urbanization pose significant challenges to organisms. The multifaceted effects of urbanization often make it difficult to define and pinpoint the very nature of adaptive urban phenotypes. In such situations, scanning genomes for regions differentiated between urban and non-urban populations may be an attractive approach. Here, we investigated the genomic signatures of adaptation to urbanization in the damselfly <em>Ischnura elegans</em> sampled from 31 rural and urban localities in three geographic regions: southern and northern Poland, and southern Sweden. Genome-wide variation was assessed using more than 370,000 single nucleotide polymorphisms (SNPs) genotyped by ddRADseq. Associations between SNPs and the level of urbanization were tested using two genetic environment association methods: LFMM and BayPass. While we found numerous candidate SNPs and a highly significant overlap between candidates identified by the two methods within the geographic regions, there was a distinctive lack of repeatability between the geographic regions both at the level of individual SNPs and of genomic regions. However, we found "synapse organization" at the top of the functional categories enriched among the genes located in the proximity of the candidate urbanization SNPs. Interestingly, the overall significance of "synapse organization" was built up by the accretion of different genes associated with candidate SNPs in different geographic regions. This finding is consistent with the highly polygenic nature of adaptation, where the response may be achieved through a subtle adjustment of allele frequencies in different genes that contribute to adaptive phenotypes. Taken together, our results point to a polygenic adaptive response in the nervous system, specifically implicating genes involved in synapse organization, which mirrors the findings from several genomic and behavioral studies of adaptation to urbanization in other taxa. </p>
Diversification and evolution of Hawaiian Megalagrion damselflies (Pinapinao, Odonata: Coenagrionidae)
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Multilocus microsatellite genotypes and population geographical coordinates in the southern Damselfly (Coenagrion mercuriale)
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Data from: Habitat size thresholds for predators: why damselflies only occur in large bromeliads
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Data from: Cannibalism by damselflies increases with rising temperature
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Supplemental datasets: Opsin gene expression plasticity and spectral sensitivity in male damselflies could mediate female colour morph detection
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Data from: Levels and spatial patterns of effective population sizes in the southern damselfly (Coenagrion mercuriale): On the need to carefully interpret single-point and temporal estimations to set conservation guidelines
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Experimental data on time constraint, predator, and pollutant stress effects across life stages in the damselfly <em>Lestes sponsa</em>
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Population‐level variation of digestive physiology costs of mounting an immune response in damselflies
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Data from: Adaptive evolution to novel predators facilitates the evolution of damselfly species range shifts
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Size-mediated priority effects are trait-dependent and consistent across latitudes in a damselfly
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OdoBD: An online database for the dragonflies and damselflies of Bangladesh
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Data from: Opportunistic data reveal widespread species turnover in Enallagma damselflies at biogeographical scales
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The genomic response to urbanization in the damselfly Ischnura elegans
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High variation in last male sperm precedence and genital morphology in the emerald damselfly Lestes sponsa
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Development of a panel of SNP loci in the emblematic southern damselfly (Coenagrion mercuriale) using a hybrid method: Pitfalls and recommendations for large-scale SNP genotyping in a non-model endangered species
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Figure 3 in Binocular Encoding in the Damselfly Pre-motor Target Tracking System
<p>Figure 3. The TSDNs in Damselflies and Dragonflies Are Homologous TSDN traces of the damselfly neurons whose intracellular maps are shown in Figure 2, shown in comparison with the traces of TSDNs in aeshnid dragonflies (reproduced with permission from [13, 20]). The raw maximum intensity projection data and the corresponding traces are shown for each cell in Video S3; the full 3D views are shown in Video S4. In addition, see Figure S4 for details about a possible new type of TSDN, found in damselflies.</p>
Figure 1 in Binocular Encoding in the Damselfly Pre-motor Target Tracking System
Figure 1. Comparison of External Eye Anatomy and Hunting Strategies of Dragonflies and Damselflies (A) Frontal and lateral views of a dragonfly with holoptic eyes (Sympetrum vulgatum) and a demoiselle damselfly with dichoptic eyes (Calopteryx splendens). Yellow lines indicate visual area sampled by the dorsal (~60Ǫ elevated in dragonflies) [10] and frontal foveae, respectively. (B) Predatory flights of a dragonfly (i, Erythemis simplicicollis; Figure S1B; Video S1) and demoiselle (ii, Calopteryx aequabilis; Figure S1C; Video S2) while chasing an artificial prey (blue) reconstructed in 3D. Predator head positions are represented as a continuous red curve, with the body axis plotted at 10-ms intervals to indicate orientation of the predator throughout the attack (red lines). Line of sight between predator head position and artificial prey in gray. (C) Spherical plots, tracing the average subtended position of the prey (blue) compared to the body axis of the predator throughout the flight (red). Cones depict the 95% confidence interval (CI) of the prey just before the predator's first movement. In dragonfly attacks, the prey (dark blue) was on average aligned above the dragonfly body axis by 32.6Ǫ just prior to the first movement of the predator (95% CI = ±12.4Ǫ; n = 8) and by 33.7Ǫ throughout flight (95% CI = ±5.3Ǫ; n = 8). In demoiselle attacks, the prey (light blue) was on average aligned above the body axis by 13.9Ǫ just prior to the first movement of the predator (95% CI = ±13.0Ǫ; n = 10) and by 11.4Ǫ throughout flight (95% CI = ±6.5Ǫ; n = 10). A, anterior; D, dorsal; L, left; p, posterior; R, right; V, ventral.
Figure 2 in Binocular Encoding in the Damselfly Pre-motor Target Tracking System
Figure 2. Target-Selective Descending Neurons (TSDNs) in Damselflies (A) In damselflies, there is a ventral shift relative to dragonflies in the receptive field of target responses recorded from the ventral nerve cord (see Figure S2A). Apart from this elevation difference, the color wheel used to encode direction is equivalent in both animals in keeping with the coordinate system used in [11]. (B) Setup and stimulus presented when recording target responses extracellularly from a demoiselle ventral nerve cord. Visual stimuli are composed of 3,000 target trajectories with random motion direction and start location but fixed size and velocity, as used in dragonflies [11], allowing for comparative analysis. Top trace: raw responses to 44 trajectories indicated by steps on the stimulus trace (middle) are shown (scale, 1 s and 500 µV).. Bottom trace: responses to a single target trajectory where a target appears and remains stationary on the screen for 150 ms (red), moves with constant velocity (i.e., direction and speed) for 100 ms (green), and disappears for 150 ms (gray) before the start of the next trajectory are shown (scale, 25 ms and 500 µV). The raster plot shows a subset of responses used to map the cell's receptive field (time is measured from stimulus onset). Further details for the analysis workflow are shown in Figures S2C, S3A, and S3B. (C) Comparison between the receptive field maps of TSDNs in dragonflies and demoiselle TSDNs. All dragonfly maps were intracellularly acquired and are here reproduced from [11]. The damselfly recordings, both extracellular and intracellular, show one recording (for all extracellular recordings, see Figure S3C). The direction receptive field (RF) shows the position and direction of the target that elicited the spike. The spike-triggered average (STA) displays the relative spiking activity across the receptive field, normalized to maximum number of spikes in that recoding in any one screen location (pixel). Polar histograms represent the binned target direction for each spike (10Ǫ bins, black bars) and the resultant vector (red arrow) for the example receptive field. The red dots indicate the resultant vector direction for all neurons recorded. Elevation and azimuth scale are relative to the animal's head axis. The different types of TSDNs are labeled with their names (i.e., MDT1-5 and DIT1-3). The symbol * next to a map notes that it was acquired intracellularly.
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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.