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1,161 results for “Drosophila melanogaster”
Fig. 2 in Ecological niche difference associated with varied ethanol tolerance between Drosophila suzukii and Drosophila melanogaster (Diptera: Drosophilidae)
Fig. 2. Mortality of Drosophila melanogaster (A) and Drosophila suzukii (B) adults exposed to varying concentrations of ethanol.
Fig. 4 in Ecological niche difference associated with varied ethanol tolerance between Drosophila suzukii and Drosophila melanogaster (Diptera: Drosophilidae)
Fig. 4. ADH and ALDH activity levels of Drosophila melanogaster and Drosophila suzukii exposed to ethanol. (A) ADH activity in Drosophila melanogaster; (B) ALDH activity in Drosophila melanogaster; (C) ADH activity in Drosophila suzukii; (D) ALDH activity in Drosophila suzukii. Different letters in each figure (A, B, C, D) indicate a significant difference between adults and larvae (One-way ANOVA: α = 0.05).
Fig. 3 in Ecological niche difference associated with varied ethanol tolerance between Drosophila suzukii and Drosophila melanogaster (Diptera: Drosophilidae)
Fig. 3. Mortality of Drosophila melanogaster and Drosophila suzukii larvae exposed to varying concentrations of ethanol.
Fig. 1 in Ecological niche difference associated with varied ethanol tolerance between Drosophila suzukii and Drosophila melanogaster (Diptera: Drosophilidae)
Fig. 1. Ethanol (A) and acetaldehyde (B) contents of grapes infested by Drosophila melanogaster and Drosophila suzukii.
Figure. 3 in Niche separation between the cosmopolitan species Drosophila melanogaster and the tropical Asian species Drosophila ananassae based on larval host-plant species
Figure. 3. Statistical interaction between Drosophila species and larval host plant in determining the number of male flies eclosing in the present experiment. Blue circles represent replicates for Drosophila ananassae and Drosophila melanogaster when raised on cucumberfruit (Averrhoa bilimbi). Red circles indicate replicates where D. ananassae or D. melanogaster were raised on banana (Musa sp.). The number of male flies eclosing from each replicate are presented as squareroot transformed data (variable: TFlies), since the transformed data were used in the ANOVA to determine the statistical significance of this statistical interaction. Da. = Drosophila ananassae, Dm.= Drosophila melanogaster.
Figure 2 in Niche separation between the cosmopolitan species Drosophila melanogaster and the tropical Asian species Drosophila ananassae based on larval host-plant species
Figure 2. Number of Drosophila ananassae and Drosophila melanogaster eclosing in the present experiment, pooling across fruit types. Da. = Drosophila ananassae, Dm.= Drosophila melanogaster.
Figure 1 in Niche separation between the cosmopolitan species Drosophila melanogaster and the tropical Asian species Drosophila ananassae based on larval host-plant species
Figure 1. Number of male flies eclosing from cucumberfruit (Averrhoa bilimbi) vs. banana (Musa species), pooled across Drosophila Species.
Lifespan Fecundity data for The Combined Effects of Macronutrient Ratios and the chico1 Variant on Life History Traits in Drosophila melanogaster
<p>Data sheets for Lifespan Fecundity data for The Combined Effects of Macronutrient Ratios and the chico1 Variant on Life History Traits in Drosophila melanogaster. Chico_life_extention_ds and Chico_CP_life_extention_REP_ds are data sheets from project one that keep track of deaths that occurred in the experiment. Deaths of males, deaths of females, and censors were recorded. Hour = hour of collection, Minute = minute of collection, Days_alive = number of days flies have been inside the vials after initial collection, last_flip = day of last time flies were flipped, Label = id of the vial, repl = replicant group, deadF = number of females that died before that days collection, deadM = number of males that died before each collection, cens = number of censors before each collection, counter = person who counted the flies, Year = year of collection, Month = month of collection, Day = day of collection, notes = observations during collection.</p> <p> LDF_flipping_and_counting_data is a data sheet keeping track of deaths that occured in project two. Deaths of females, males, and censors were recorded. Month = month of collection, Day = day of collection, Year = year of collection, Days_alive = number of days flies have been inside vials, Flipped = were the flies flipped with Y meaning Yes and N meaning No, flipper = person who flipped the flies, DeadF = number of dead females before collection, DeadM = number of dead males before collection, Censor = number of censors before collection, Hour = hour of collection, Minute = minute of collection, Label = id of the vial, Notes = observations during collection.</p> <p>LDF_egg_counting_data is a data sheet keeping track of the number of eggs counted on every image in experiment 2. Image_ID i= image identification number, Label = id of the vial, Day = day of collection, Month = month of collection, Year = year of collection, Counter = person who counted the eggs, Egg_total = number of eggs counted on the photo, notes = observations during collection.</p> <p>Images.zip is a zipped folder of all images that were used to count the number of eggs laid over a ~16-hour time period once per week until the death of all flies in the vial. These images are organized by the date the picture was taken. These pictures were counted using the cell counter extension for ImageJ and counted. Counts were recorded in the LDF_egg_counting_data data sheet.</p>
(07)-Ratke2020A-DS0003 – Drosophila melanogaster w[*]; P{w[+mC]=His2Av-EGFP.C}2/SM6a line long-term live imaging dataset of embryonic development acquired with light sheet fluorescence microscopy
<p>(07)-Ratke2020A-DS0003 – <em>Drosophila melanogaster</em> w[*]; P{w[+mC]=His2Av-EGFP.C}2/SM6a line long-term live imaging dataset of embryonic development acquired with light sheet fluorescence microscopy</p>
(07)-Ratke2020A-DS0001 – Drosophila melanogaster y[1] w[67c23]; P{w[+mC]=Ubi-GFP.nls}ID-2; P{Ubi-GFP.nls}ID-3 line long-term live imaging dataset of embryonic development acquired with light sheet fluorescence microscopy
<p>(07)-Ratke2020A-DS0001 – <em>Drosophila melanogaster</em> y[1] w[67c23]; P{w[+mC]=Ubi-GFP.nls}ID-2; P{Ubi-GFP.nls}ID-3 line long-term live imaging dataset of embryonic development acquired with light sheet fluorescence microscopy</p>
(07)-Ratke2020A-DS0002 – Drosophila melanogaster w[*]; P{w[+mC]=Tub84B-EGFP.NLS}3 long-term live imaging dataset acquired with light sheet fluorescence microscopy
<p>(07)-Ratke2020A-DS0002 <em>–</em> <em>Drosophila melanogaste</em>r y[1] w[67c23]; P{w[+mC]=Ubi-GFP.nls}ID-2; P{Ubi-GFP.nls}ID-3 (Bloomington <em>Drosophila</em> Stock Center #29724) long-term live imaging dataset acquired with light sheet fluorescence microscopy</p>
Life stage-specific effects of heat stress on spermatogenesis and oogenesis in Drosophila melanogaster
<p><br>#Life stage-specific effects of heat stress on spermatogenesis and oogenesis in Drosophila melanogaster</p> <p>##Authors</p> <p>Abhishek Meena, Alessio N. De Nardo, Komal Maggu, Sonja Sbilordo, Benjamin Eggs, Rawaa Al Toma Sho, Stefan Lüpold</p> <p><br>## Citation of associated article<br>Meena, A., Maggu, K., De Nardo, A.N., Sbilordo, S.H., Eggs, B., Al Toma Sho, R., Lüpold, S., 2024. Life stage-specific effects of heat stress on spermatogenesis and oogenesis in Drosophila melanogaster. Journal of Thermal Biology 125, 104001. https://doi.org/10.1016/j.jtherbio.2024.104001</p> <p> </p> <p>##Overview<br>This dataset was collected to assess the impact of heat stress across various life stages on reproductive performance in Drosophila melanogaster. <br>The study focuses on stage- and sex-specific reproductive metrics such as: mating success, fertility, fecundity, hatching success, which for females were summed over four days and for males were assayed for four consecutive 24-hour periods, each with a different female. </p> <p>The dataset is structured to analyze these outcomes at different temperatures and developmental stages, providing insights into sex- and stage-specific vulnerabilities to heat stress. </p> <p>The analyses are performed in an R Markdown (.Rmd) file, using data stored in a CSV file</p> <p>##Contents</p> <p>The dataset includes the following files:</p> <p>Rscript.Rmd: An R Markdown file containing code for analyzing sex- and stage-specific reproductive fitness based on the data in Data.csv.<br>Data.csv: A CSV file with the raw data used for the analysis.</p> <p>##Data Description</p> <p>Note: NA's in each data file represent missing data (data not available). </p> <p>The Data.csv file contains the following columns:</p> <p>Unique.ID: Unique identifier for each experimental individual.</p> <p>SampleID: Identifier for each treatment group.</p> <p>Temperature: Thermal exposure temperature (measured in degrees Celsius) for 4 hours, with levels: 24.5°C, 28°C, 32°C, 36°C, and 38°C.</p> <p>Lifestage: Developmental stage during which thermal treatment was applied.</p> <p>Sex: Sex of the individual exposed to the thermal treatment.</p> <p>Day: Days post adult treatment exposure.</p> <p>Block: Experimental block identifier for randomized grouping.</p> <p>Total: Total number of eggs laid within 24 hours of oviposition.</p> <p>Hatched: Number of eggs that successfully hatched.</p> <p>Unhatched: Number of eggs that did not hatch (derived from the difference between Total and Hatched).</p> <p><br>##Usage</p> <p>To analyze the dataset, open and run the respective R Markdown (Rmd) files in RStudio or any compatible R Markdown environment. The Rmd files contain all the necessary code to reproduce the analyses described in the overview.</p> <p> </p>
Dataset 'Influence of bacteria on the maintenance of a yeast during Drosophila melanogaster metamorphosis'
<p>Dataset from the manuscript 'Influence of bacteria on the maintenance of a yeast during <em>Drosophila </em><em>melanogaster </em>metamorphosis'</p>
Sensory processing during sleep in Drosophila melanogaster - ethoscope dataset
<p>Dataset for "Sensory processing during sleep in Drosophila melanogaster" by French et al Nature 2021</p> <p>Gilestro Laboratory, Imperial College London</p> <p>https://lab.gilest.ro</p> <p> </p>
Paternal condition affects offspring reproduction and life history in a sex-specific manner in Drosophila melanogaster
<p>Nongenetic parental effects can contribute to the adaptation of species to changing environments by circumventing some of the limitations of genetic inheritance. A clearer understanding of the influence of nongenetic inheritance and its potentially sex-specific responses in daughters and sons is needed to better predict the evolutionary trajectories of species. However, whereas nongenetic maternal effects have long been recognized and widely studied, comparatively little is known about corresponding paternal effects. Here, by following 30 isogenic lines of <em>Drosophila</em> <em>melanogaster</em> across two generations, each reared under two dietary regimes in each generation, we tested how protein restriction during larval development of the fathers affects the fitness and health of their daughters and sons. We then quantified genetic and non-genetic paternal, and direct environmental, effects across multiple axes of offspring fitness. Daughters and sons responded differently to their father's developmental history. While isolines differed in mean trait values, their specific responses to protein restriction generally varied little. The sex- and trait-specific responses to paternal effects emphasize the complexity of inter-generational parental effects, which raise important questions about their mode of transmission and adaptive value, including the potential for conflict between the sexes.</p>
A reductionist paradigm for high-throughput behavioural fingerprinting in Drosophila melanogaster - DATASET 1 of 2
<p>Dataset associated with "A reductionist paradigm for high-throughput behavioural fingerprinting in <em>Drosophila </em><em>melanogaster" </em>by Jones et al "A reductionist paradigm for high-throughput behavioural fingerprinting in Drosophila melanogaster". </p> <p>See http://lab.gilest.ro/coccinella for more information</p> <p>This is archive 1 of 2</p> <p> </p> <p> </p>
Evidence for stronger sexual selection in males than females using an adapted method of Bateman's classic study of Drosophila melanogaster
<p>Bateman’s principle, originally a test of Darwin’s theoretical ideas, has since become fundamental to sexual selection theory and vital to contextualising the role of anisogamy and the operational sex ratio in sex differences in both reproductive competition and precopulatory sexual selection. Despite this, Bateman’s principle has received substantial criticism, and researchers have highlighted both statistical and methodological errors, suggesting that Bateman’s original experiment contains too much sampling bias for there to be any evidence of sexual selection. This study uses Bateman’s original method as a template, accounting for two fundamental flaws in his original experiments, (i) viability effects and (ii) a lack of mating behaviour observation. Experimental populations of <em>Drosophila melanogaster</em> consisted of wild-type focal individuals and non-focal individuals established by backcrossing the brown eye (<em>bw<sup>-</sup></em>) eye-colour marker. Mating assays included direct observation of mating behaviour and subsequently, total number of offspring were counted, to obtain measures of mating success, reproductive success, and standardised variance measures based on Bateman’s principle. The results provide observational support for Bateman’s principle, particularly that (i) males had significantly more variation in number of mates compared to females and (ii) males had significantly more individual variation in total number of offspring. We also find significantly steeper Bateman gradient for males compared to females, suggesting that sexual selection is operating more intensely in males. However, female remating was limited, providing the opportunity for future study to further explore female reproductive success in correlation with higher levels of remating.</p>
Data for: Natural genetic variation in a dopamine receptor is associated with variation in female fertility in Drosophila melanogaster
<p>Fertility is a major component of fitness but its genetic architecture remains poorly understood. Using a full diallel cross of 50 <em>Drosophila</em> <em>melanogaster</em> Genetic Reference Panel inbred lines with whole genome sequences, we found substantial genetic variation in fertility largely attributable to females. We mapped genes associated with variation in female fertility by genome-wide association analysis of common variants in the fly genome. Validation of candidate genes by RNAi knockdown confirmed the role of the dopamine 2-like receptor (<em>Dop2R</em>) in promoting egg laying. We replicated the <em>Dop2R</em> effect in an independently collected productivity dataset and showed that the effect of the <em>Dop2R</em> variant was mediated in part by regulatory gene expression variation. This study demonstrates the strong potential of genome-wide association analysis in this diverse panel of inbred strains and subsequent functional analyses for understanding the genetic architecture of fitness traits.</p>
Thermal phenotypic plasticity of pre- and post-copulatory male harm buffers sexual conflict in wild Drosophila melanogaster
<div> <p><span>Strong sexual selection frequently leads to sexual conflict and ensuing male harm, whereby males increase their reproductive success at the expense of harming females. Male harm is a widespread evolutionary phenomenon with a strong bearing on population viability. Thus, understanding how it unfolds in the wild is a current priority. Here, we sampled a wild </span><span><em>Drosophila</em> <em>melanogaster</em></span><span> population and studied male harm across the normal range of temperatures under which it reproduces optimally in nature by comparing female lifetime reproductive success and underlying male harm mechanisms under monogamy (i.e., low male competition/harm) vs. polyandry (i.e., high male competition/harm). While females had equal lifetime reproductive success across temperatures under monogamy, polyandry resulted in a maximum decrease of female fitness at 24°C (35%), reducing its impact at both 20°C (22%), and 28°C (10%). Furthermore, female fitness components and pre- (i.e., harassment) and post-copulatory (i.e., ejaculate toxicity) mechanisms of male harm were asymmetrically affected by temperature. At 20ºC, male harassment of females was reduced, and polyandry accelerated female actuarial ageing. In contrast, the effect of mating on female receptivity (a component of ejaculate toxicity) was only modulated at 28ºC, where the mating costs for females decreased and polyandry mostly resulted in accelerated reproductive ageing. We thus show that, across a natural thermal range, sexual conflict processes and their effects on female fitness components are plastic and complex. As a result, the net effect of male harm on overall population viability is likely to be lower than previously surmised. We discuss how such plasticity may affect selection, adaptation and, ultimately, evolutionary rescue under a warming climate. </span><span> </span></p> </div>
Evolution of reproductive isolation in a long-term evolution experiment with Drosophila melanogaster: 30 years of divergent life history selection
<p>We ask if three decades and over 1,500 generations of divergent life history selection on age at reproduction has resulted in the evolution of reproductive isolation (RI) between laboratory populations of <em>Drosophila</em> <em>melanogaster</em>. We tested for premating, postmating-prezygotic and postzygotic reproductive isolation between 3 replicate population pairs. Large evolved differences in body size between selection treatments suggested the potential for prezygotic barriers driven by sexual selection or physical incompatibilities between the sexes. Although a simple prediction would be preference for larger size, creating directional isolation, our results from individual mate choice trials indicate that populations from both selection treatments show a marked bias towards homotypic mate choice; indicative of prezygotic RI driven by sexual selection or sexual conflict. Hybridization between the focal populations resulted in the production of viable adult flies with intermediate size and developmental traits. We observed a suggestive but statistically non-significant trend of fitness decline in the F2 generation of hybrids, but no significant evidence suggesting the evolution of postmating-prezygotic or postzygotic RI. Our findings are in accord with extant literature that posits that premating RI evolves before postmating forms of RI.</p>
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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.