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4,529 results for “drosophila”
Conditioning, short-term and long-term memory tests of Drosophila melanogaster grown with and without predators
<p>Conditioning (i.e., associative learning) and memory tests were performed following the methods of previous studies. We used samples of 10 adult flies (males only), raised in standard conditions and aged 6-7 days. The conditioning procedure consisted of 5 training sessions separated by 20-minute intervals (i.e., spaced protocol). During associative conditioning, flies were first exposed for 30 seconds (s) to one odorant simultaneously with a mechanical shock of 2000 rpm vibration pulses of 1 s duration, delivered every 5 s by a test tube shaker (Heidolph Instruments, Schwabach, Germany). This period was followed by a 60 s rest period (no odor and no shock). Then, for 30 s, another odorant was delivered without shock. The training session ended with a second rest period of 60 s. 3-octanol and 4-methylcyclohexanol (both 0.6 mL/L of paraffin) were used as odorants. Each fly group was chosen to be conditioned randomly to either 3-octanol or 4-methylcyclohexanol. The results of the final trial (the fifth out of 5 trials, referred to as the “conditioning” group hereafter) of associative conditioning were used to characterize the learning of fruit flies. </p> <p>We tested 1 h (short-term memory, STM) and 24 h memory (LTM) retention after associative conditioning. During the memory retention assay, the flies walked to the choice point of a T-maze, in which they were exposed to two converging currents of air, one carrying 3-octanol and the other 4-methylcyclohexanol, and then allowed to choose between the two odors for 60 s. The memory score was calculated as the difference in the proportion of individuals choosing 3-octanol between flies conditioned to avoid 4-methylcyclohexanol and those conditioned to avoid 3-octanol.</p>
Scaling between cell cycle duration and wing growth is regulated by Fat-Dachsous signaling in Drosophila
<p>The atypical cadherins Fat and Dachsous (Ds) signal through the Hippo pathway to regulate growth of numerous organs, including the <em>Drosophila</em> wing. Here, we find that Ds-Fat signaling tunes a unique feature of cell proliferation found to control the rate of wing growth. The duration of the cell cycle increases in direct proportion to the size of the wing, leading to linear rather than exponential growth. Ds-Fat signaling enhances the rate at which the cell cycle lengthens with wing size, thus diminishing the linear rate of wing growth. We show that this results in a complex but stereotyped relative scaling of wing growth with body growth in <em>Drosophila</em>. Finally, we examine the dynamics of Fat and Ds protein distribution in the wing, observing graded distributions that change during growth. However, the significance of these dynamics is unclear since perturbations in expression have negligible impact on wing growth.</p>
Data from: Life history changes associated with over 400 generations of artificial selection on body size in Drosophila
<p>Body size is a trait that shapes many aspects of a species' development and evolution. Larger body size is often beneficial in animals, but it can also be associated with life history costs in natural systems. Similarly, miniaturization, the evolution of extremely small adult body size, is found in every major animal group, yet carries its own life history trade-offs. Given that these effects can depend on an animal's environment and life stage and have mainly been studied in species that are already specialized for their size, the life history changes associated with evolutionary shifts in body size warrant additional investigation. Here, we used <em>Drosophila melanogaster </em>populations that had undergone over 400 generations of artificial selection on body size to investigate the changes in life history traits associated with the evolution of extremely large and extremely small body sizes. Populations selected for small body size experienced strong trade-offs in multiple life history traits, including reduced female fecundity and lower juvenile viability. Although we found correlated changes in egg size associated with selection for both large and small body size, after adjusting for female body size, females from populations selected for large size had the lowest relative investment per egg and females from populations selected for small size had the highest relative investment per egg. Taken together, our results suggest that egg size may be a key constraint on the evolution of body size in <em>D. melanogaster,</em> providing insight into the broader phenomenon of body size evolution in insects.</p>
Data files for "Mitochondria-enriched protrusions are associated with brain and intestinal stem cells in Drosophila"
<p>This entry is for our report "Mitochondria-enriched protrusions are associated with brain and intestinal stem cells in <em>Drosophila" </em>by Sharyn A. Endow, Sara E. Miller & Phuong Thao Ly in <em>Commun Biol </em><strong>2</strong>, 427 (2019). <a href="https://doi.org/10.1038/s42003-019-0671-4">https://doi.org/10.1038/s42003-019-0671-4</a></p> <p>The deposited datasets contain the 1) EM raw images, 2) immunofluorescence microscopy (IFM) raw images, 3) live imaging raw sequences, and 4) data analysis files.</p>
An advanced metabolomic approach untangles oviposition preference of grape skin by Drosophila suzukii
Open the record for dataset details and reuse information.
Data from: Drosophila medulla neuroblast termination via apoptosis, differentiation and gliogenic switch is scheduled by the depletion of the neuroepithelial stem cell pool
<p>The brain is consisted of diverse neurons arising from a limited number of neural stem cells. <em>Drosophila</em> neural stem cells called neuroblasts (NBs) produces specific neural lineages of various lineage sizes depending on their location in the brain. In the <em>Drosophila</em> visual processing centre - the optic lobes (OLs), medulla NBs derived from the neuroepithelium (NE) give rise to neurons and glia cells of the medulla cortex. The timing and the mechanisms responsible for the cessation of medulla NBs are so far not known. In this study, we show that the termination of medulla NBs during early pupal development is determined by the exhaustion of the NE stem cell pool. Hence, altering NE-NB transition during larval neurogenesis disrupts the timely termination of medulla NBs. Medulla NBs terminate neurogenesis via a combination of apoptosis, terminal symmetric division via Prospero, and a switch to gliogenesis via Glial Cell Missing (Gcm), however, these processes occur independently of each other. We also show that temporal progression of the medulla NBs is mostly not required for their termination. As the <em>Drosophila</em> OL shares a similar mode of division with mammalian neurogenesis, understanding when and how these progenitors cease proliferation during development can have important implications for mammalian brain size determination and regulation of its overall function.</p>
Fig. 1 in Primera cita de Drosophila suzukii (Matsumura 1931) (Diptera: Drosophilidae) en Galicia (NO de la Península Ibérica).
Fig. 1.- Vista lateral del macho de Drosophila suzukii y detalles característicos resaltados.
Fig. 1 in Trapping Drosophila repleta (Diptera: Drosophilidae) using color and volatiles
Fig. 1. Spectrophotometer analysis of colors used in laboratory and field experiments.
Junction bam files for Drosophila species
<p>Junction bam files for Drosophila species</p>
Lifespan and fecundity data for: The evolutionary potential of diet-dependent effects on lifespan and fecundity in a multi-parental population of Drosophila melanogaster
<p>This repository contains 3 original data files for a study of heritability in a half-sibling design of outbred multi-parent population of Drosophila melanogaster treated with 3 nutritional conditions.</p> <p> </p> <p>1) lifespan_only.xlsx contains lifespan records.</p> <p>Columns:</p> <p>setDate, start date</p> <p>flipDate, observation date</p> <p>days, age</p> <p>fID, identity of line</p> <p>repl, replicate number</p> <p>treat, diet treatment (HS=high sugar, STD=standard, LY=low yeast)</p> <p>NstartF, starting number of females</p> <p>NstartM, starting number of males</p> <p>box, ccord, rcoord are position coordinates of a vial in a holding box</p> <p>deadF, number of female dead</p> <p>deadM, number of males dead</p> <p>cens, censored events</p> <p>carriedF, dead females that flip to a new food vial</p> <p>carriedM, dead males that flip to a new food vial</p> <p>flipper initials of observer</p> <p>time, time in which 108 vials were flipped.</p> <p> </p> <p>2) feclife_with-image-ids.xlsx - lifespan observation vials are matched with a specific image of eggs collected at a specific day (once a week).</p> <p>Columns:</p> <p>cameraid, image id assigned by the camera</p> <p>handcounted, images counted by hand</p> <p>handcount, number of eggs on an image counted by hand</p> <p>training_set, images that were used to develop and test a prediction model</p> <p>drop_from_lifespan & visually_recheck, quality control.</p> <p> </p> <p>3) egg_images.tgz - all original images. Each image represent fecundity from a single vial at a specific date (in feclife_with-image-ids.xlsx ). The images have been cropped to remove the excess area outside the egg disc. The area outside the circular disc has been converted to black to peripheral eliminate noise.</p>
DsecF Drosophila sechellia Female Template Brain
<p>An nc82-stained averaged brain constructed from 26 female D. sechellia brains. Voxel size: (0.461, 0.461, 1) microns</p>
DsecM Drosophila sechellia Male Template Brain
<p>An nc82-stained averaged brain constructed from 21 male D. sechellia brains. Voxel size: (0.461, 0.461, 1) microns</p>
Drosophila embryo tissue time-lapse.
<p>This was created from the example dataset released with the TGMM software: <em>Amat et al., Nature Methods, 2014 </em>(<a href="https://www.janelia.org/lab/keller-lab/software/fast-accurate-reconstruction-cell-lineages-large-scale-fluorescence">https://www.janelia.org/lab/keller-lab/software/fast-accurate-reconstruction-cell-lineages-large-scale-fluorescence</a>).</p> <p>This is a drosophila embryo movie, acquired by William Lemon (see associated publication). </p> <p>The image data was converted from TIFs into BigDataViewer HDF5/XML. The tracks were imported from TGMMs XML output files into Mastodon.</p> <p>The data is released along with a software, itself released under the Janelia License for Open-Source Software:</p> <p> </p> <p>Janelia Open-Source Software<br> Copyright © 2018 Howard Hughes Medical Institute<br> <br> <br> Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:<br> <br> <br> Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.<br> Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.<br> Neither the name of HHMI nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.<br> THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS “AS IS” AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.<br> <br> <br> </p>
Serotonergic modulation of walking in Drosophila
<p>This repository includes the data and code associated with Howard et al 2019.</p>
Fig. 2 in Comparison of attractants, insecticides, and mass trapping for managing Drosophila suzukii (Diptera: Drosophilidae) in blueberries
Fig. 2. Commercially available trap from RIGA® AG used in mass trapping.
drosophila_masking:v24.8.1
<p>kraken2 DB for drosophila built with masking option. This DB includes 41 species with (48657 accessions)</p> <p>See download.sh for details about the sequences included. </p> <p> </p> <p> </p>
Opposing GPCR Signaling Programs Protein Intake Setpoint in Drosophila
<p>This deposits contain dataset used to generate main electrophysiological figures in the paper titled "Opposing GPCR signaling programs protein intake setpoint in <em>Drosophila</em>" published on 08/27/2024 on<em> Cell .</em></p>
Evolution of mate harm resistance in females from Drosophila melanogaster populations selected for faster development and early reproduction
<p><span>These images are part of the study titled "<strong>Evolution of mate harm resistance in females from <em>Drosophila melanogaster </em>populations selected for faster development and early reproduction</strong>". The study uses thorax length of study fruit flies as a measure of body size. The images are of the individual fruit fly thorax. These images are used on ImageJ to measure thorax length. The details of the method can be found in the manuscript, which is now accepted for publication in the Journal of Evolutionary Biology. The same can also be found in a <a href="https://doi.org/10.1101/2022.12.25.521905">pre-print</a> version. </span></p> <p><span>The abstract of the article is mentioned below: </span></p> <p> </p> <p><strong><span>Abstract</span></strong></p> <p><span>Interlocus sexual conflict is predicted to result in sexually antagonistic coevolution between male competitive traits, which are also female-detrimental, and mate harm resistance (MHR) in females. Little is known about the connection between life-history evolution and sexually antagonistic coevolution. Here, we investigated the evolution of MHR in a set of experimentally evolved populations, where mate-harming ability has been shown to have substantially reduced in males as a correlated response to the selection for faster development and early reproduction. We measured mortality and fecundity of females of these populations and those of their matched controls, under different male exposure conditions. We observed that the evolved females were more susceptible to mate harm - suffering from significantly higher mortality under continuous exposure to control males within the twenty-day assay period. Though these evolved females are known to have shorter lifespan, substantially higher mortality was not observed under virgin and single-mating conditions. We used fecundity data to show that this higher mortality in the experimentally evolved females was not due to the cost of egg production, and hence can only be attributed to reduced MHR. Further analysis indicated that this decreased MHR is unlikely to be due purely to the smaller size of these females. Instead, it is more likely to be an indirect experimentally evolved response attributable to the changed breeding ecology, and/or male trait evolution. Our results underline the implications of changes in life history traits, including lifespan, to the evolution of MHR in females. </span></p>
Transmission of yeast and bacterial symbionts between sexual partners in Drosophila suzukii and Drosophila melanogaster
<p>Data from "Transmission of yeast and bacterial symbionts between sexual partners in Drosophila suzukii and Drosophila melanogaster"</p>
Experimental dataset: "Minimal vertex model explains how the amnioserosa avoids fluidization during Drosophila dorsal closure"
<p>This repository contains experimental data supporting our paper "Minimal vertex model explains how the amnioserosa avoids fluidization during Drosophila dorsal closure".</p> <p><strong>Original Publication:</strong><br>Tah, I., Haertter, D., et al. (2024). Minimal vertex model explains how the amnioserosa avoids fluidization during Drosophila dorsal closure. PNAS (in press).<br>Preprint available at: <a href="https://doi.org/10.1101/2023.12.20.572544">https://doi.org/10.1101/2023.12.20.572544</a></p> <h2>Dataset Structure</h2> <h2>amnioserosa_time_lapses/</h2> <p>This directory contains confocal microscopy time-lapse recordings of eCadherin-labeled Drosophila melanogaster embryos during dorsal closure:</p> <ul> <li><strong>Imaging parameters:</strong> <ul> <li>Frame interval: 15 seconds</li> <li>Pixel size: 0.158 µm</li> </ul> </li> <li><strong>Data files:</strong> <ul> <li><code>*_data.p</code>: Morphometric features of individual amnioserosa cells during closure</li> <li><code>*_junctions.p</code>: Morphometric features of individual cell-cell adherens junctions</li> <li><code>read_filter_data.py</code>: Python script demonstrating data reading and filtering procedures</li> </ul> </li> </ul> <h2>junction_laser_cuts/</h2> <p>This directory contains high-speed recordings of UV-laser junction ablation experiments:</p> <ul> <li><strong>Imaging parameters:</strong> <ul> <li>Frame rate: 5 Hz</li> <li>Pixel size: 0.364 µm</li> </ul> </li> <li><strong>Content:</strong> Time series of eCadherin-labeled embryos before, during, and after precise UV-laser severing of individual junctions</li> </ul> <h2>data_figures/</h2> <p>This directory contains processed data and analysis results presented in Figures 1-3 of the main manuscript. The data are organized by figure number and include all measurements and simulation results used to generate the plots shown in these figures.</p> <p> </p> <p>For detailed experimental methods and protocols, please refer to the published paper.</p>
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International Brain Laboratory public data
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OpenNeuro
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