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FIG. 1 in The Drosophila (Sophophora) obscura species group in the Americas (Diptera: Drosophilidae): review, revisions, and three new species
FIG. 1. Distribution map of species in the affinis subgroup. Distributions derived from Miller (1958), M. Miller et al. (2017), new records provided in the present paper, and more recent published reports. For distributions of species in the pseudoobscura group, see Dobzhansky and Epling (1944) and Heed and O'Grady (2000). Distribution boundaries are approximate, especially northernmost boundaries.
FIG. 2 in The Drosophila (Sophophora) obscura species group in the Americas (Diptera: Drosophilidae): review, revisions, and three new species
FIG. 2. Heads and thoraces (lateral view) of representative New World species of the obscura group (A–D), and a male midleg of D. cuauhtemoci (E). A. D. chibcha holotype, n. sp. (ASG 05); B. D. maya holotype. C. D. narragansett paralectotype male. D. D. seminole holotype. E. D. cuauhtemoci, male midleg (lateral view), paratype.
Figure 5 in The range dynamics of a cactophilic Drosophila species under climate change scenarios
Figure 5. Last Interglacial, Last Glacial Maximum, Present (1960–1990), and the Future (2050 and 2070) predictions of the potential distribution of two cacti species (C. hildmannianus and P. machrisii) based on 10% thresholding approaches. The abbreviations are defined as follows: LGM-Last Glacial Maximum, LIG-Last Interglacial.
Figure 2 in The range dynamics of a cactophilic Drosophila species under climate change scenarios
Figure 2. Occurrence points used for ecological niche modeling are shown in red. Squares equal approximately 2 decimal degrees and the background image on thmap shows the elevational structure of Brazil.
Figure 1 in The range dynamics of a cactophilic Drosophila species under climate change scenarios
Figure 1. Approximate distribution of D. gouveai (green area) showed Caatinga and Cerrado domains and the localities sampled for the species (based on Moraes et al., 2009), descriptive statistics (n, number of individuals; H, the number of haplotype; H d, haplotype diversity; pi, nucleotide diversity) and median joining network of 48 individuals of D. gouveai. All statistics based on nucleotide sequences were adopted from Moraes et al. (2009). MIR: Pirapotanga; FOR: Morro do Forno; FUR: Furnas; CEU: Vale do Céu; CRI: Cristalina; FER: Fercal; PIR: Pirenópolis; SER: Serrinha; IBO: Ibotirama; BAX: Baxio.
Figure 4 in The range dynamics of a cactophilic Drosophila species under climate change scenarios
Figure 4. Last Interglacial, Last Glacial Maximum, Present (1960–1990), and the Future (2050 and 2070) predictions of the potential distribution of D. gouveai based on two thresholding approaches. Arrows shows very limited potential distribution of D. gouveai in 2050 and 2070. The abbreviations are defined as follows: LGM-Last Glacial Maximum, LIG-Last Interglacial. Additionally, specific climate models include LGM-cc (Community Climate System Model), LGM-me (MPI-ESM-P, General Circulation Models), and LGM-mr (Model for Interdisciplinary Research on Climate, Earth System version 2 for Long-term simulations).
Figure 3 in The range dynamics of a cactophilic Drosophila species under climate change scenarios
Figure 3. Isolation-by-distance of populations of D. gouveai based on mtDNA. Linear regression lines were drawn for all comparisons among populations (full line), and for populations not included MIR (dotted line).
Drosophila serrata mutation accumulation lines: Phenotypic data on survival following infection with Drosophila C virus and reproduction
<p>The impact of selection on host immune function genes has been widely documented. However, it remains essentially unknown how mutation influences the quantitative immune traits that selection acts on. Applying a classical mutation accumulation (MA) experimental design in <em>Drosophila serrata</em>, we found the mutational variation in susceptibility (median time of death, LT50) to Drosophila C virus (DCV) was of similar magnitude to that reported for intrinsic survival traits. Mean LT50 did not change as mutations accumulated, suggesting no directional bias in mutational effects. Maintenance of genetic variance in immune function is hypothesised to be influenced by pleiotropic effects on immunity and other traits that contribute to fitness. To investigate this, we assayed female reproductive output for a subset of MA lines with relatively long or short survival times under DCV infection. Longer survival time tended to be associated with lower reproductive output, suggesting that mutations affecting susceptibility to DCV had pleiotropic effects on investment in reproductive fitness. Further studies are needed to uncover the general patterns of mutational effect on immune responses and other fitness traits, and to determine how selection might typically act on new mutations via their direct and pleiotropic effects.</p>
Fig. 2 in Assessment Of The Influence Of Teratogenic Activity Of Cigarette Smoke On Drosophila Melanogaster
Fig. 2. Frequency of abdominal tergite Fig. 4. Growth of imaginal disks of fruit fly abnormality morphoses in wild type fruit flies (Drosophila melanogaster) in embryonic and (Drosophila melanogaster) depending on postembryonic stages of development the"Elita" cigarette smoke dose and the age of the larvae (hours since the eggs were laid)
Fig. 1 in Assessment Of The Influence Of Teratogenic Activity Of Cigarette Smoke On Drosophila Melanogaster
Fig. 1. Frequency of abdominal tergite Fig. 3. Frequency of abdominal tergite abnormality (morphoses) in w+/w and w+/Y fruit abnormality morphoses in wild type fruit flies flies (Drosophila melanogaster) depending on the (Drosophila melanogaster) depending on "Prima HEBO" cigarette smoke dose and the age the"Elita" cigarette smoke dose and the age of of the larvae (hours since the eggs were laid). the pupae (hours since the eggs were laid)
Fig. 3 in Evaluation Of Teratogenic Activity Of The Smoke Of Burning Combustible Plastic Influencing The Drosophila Melanogaster
Fig. 3. Amount of abdominal tergite anomalies in wild type Drosophila melanogaster depending on the dose of burning plastic (polysterene) smoke and larvae age (hours after eggs are laid)
Fig. 4 in Evaluation Of Teratogenic Activity Of The Smoke Of Burning Combustible Plastic Influencing The Drosophila Melanogaster
Fig. 4. Amount of abdominal tergite anomalies in wild type Drosophila melanogaster depending on the dose of burning plastic (polysterene) smoke and pupae age (hours after eggs are laid)
Fig. 9 in Evaluation Of Teratogenic Activity Of The Smoke Of Burning Combustible Plastic Influencing The Drosophila Melanogaster
Fig. 9. Abdominal tergite anomalies in wild type Drosophila melanogaster in the result of treating pupae with the smoke of burning polysterene; 1 – females, 2 – males
Fig. 2 in Evaluation Of Teratogenic Activity Of The Smoke Of Burning Combustible Plastic Influencing The Drosophila Melanogaster
Fig. 2. Amount of abdominal tergite anomalies in wild type Drosophila melanogaster depending on the dose of burning plastic (polyethyleneterephtalane) smoke and pupae age (hours after eggs are laid)
Fig. 1 in Evaluation Of Teratogenic Activity Of The Smoke Of Burning Combustible Plastic Influencing The Drosophila Melanogaster
Fig. 1. Amount of abdominal tergite anomalies in wild type Drosophila melanogaster depending on the dose of burning plastic (polyethyleneterephtalane) smoke and larvae age (hours after eggs are laid)
Fig. 1 in Survey for spotted-wing drosophila (Diptera: Drosophilidae) in the five-county nursery production region of middle Tennessee, USA
Fig. 1. Average trap captures of Drosophila suzukii males (gray triangles) and females (black circles) by week in 2013 and 2014. Weeks with an asterisk above them indicate significant differences (P <0.05) between the sexes by pair-wise LSMeans comparison in the negative binomial regression analysis (PROC GENMOD).
Fig. 2 in Survey for spotted-wing drosophila (Diptera: Drosophilidae) in the five-county nursery production region of middle Tennessee, USA
Fig. 2. Average trap captures of Drosophila suzukii in red (black circles) and yellow traps (gray triangles) by week in 2013 and 2014. No significant differences (P> 0.05) were found between the colors by pair-wise LSMeans comparison in the negative binomial regression analysis (PROC GENMOD).
Fig. 3 in Survey for spotted-wing drosophila (Diptera: Drosophilidae) in the five-county nursery production region of middle Tennessee, USA
Fig. 3. Adult Drosophila suzukii males (gray triangles) and females (black circles) captured from a yeast-baited deli cup trap in a plot of mixed Cornus species at the Otis L. Floyd Nursery Research Center during 2014 and 2015.
Fig. 2 in Drosophila suzukii (Diptera: Drosophilidae) arrives at Minas Gerais State, a main strawberry production region in Brazil
Fig. 2. Damaged strawberry in the field with drosophilid flies including a Drosophila suzukii male (inlet) with its characteristic wing black dots (arrows) and 2 adults of Zaprionus indianus (white circles), scale bar = 5 mm.
Fig. 1 in Drosophila suzukii (Diptera: Drosophilidae) arrives at Minas Gerais State, a main strawberry production region in Brazil
Fig. 1. Drosophila suzukii adult female collected at Minas Gerais State, Brazil. (A) Female on a strawberry fruit in the field, scale bar = 3 mm; (B) D. suzukii egg laid inside the fruit (white box), scale bar = 5 mm; (C) oviposition hole (white circle) with the egg's spiracles (black arrow) coming out. The egg laid beneath the fruit epidermis is delimited by a white ellipse, scale bar = 500 μm; (D) the female from image A viewed under microscope, scale bar = 500 μm; and (E) the female characteristic, serrated ovipositor, scale bar = 200 μm.
ScienceDex guides
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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.