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841 results for “fruit flies”
Fig. 4 in Morganella morganii (Enterobacteriales: Enterobacteriaceae) is a lethal pathogen of Mexican fruit fly (Diptera: Tephritidae) larvae
Fig. 4. Mean number ± SE of Mexican fruit fly pupae produced per cup (#).
Fig. 5 in Morganella morganii (Enterobacteriales: Enterobacteriaceae) is a lethal pathogen of Mexican fruit fly (Diptera: Tephritidae) larvae
Fig. 5. Percent adult emergence ± SE and percent flight ability ± SE by treatment type.
Fig. 2 in Morganella morganii (Enterobacteriales: Enterobacteriaceae) is a lethal pathogen of Mexican fruit fly (Diptera: Tephritidae) larvae
Fig. 2. Bio-assay diet cups at sifing: Lef=Control, Right=inoculated with Morganella morganii.
Fig. 6 in Morganella morganii (Enterobacteriales: Enterobacteriaceae) is a lethal pathogen of Mexican fruit fly (Diptera: Tephritidae) larvae
Fig. 6. Adult Mexican fruit fly ± SE produced from 50 g of diet.
Fig. 1 in Morganella morganii (Enterobacteriales: Enterobacteriaceae) is a lethal pathogen of Mexican fruit fly (Diptera: Tephritidae) larvae
Fig. 1. Mean weight ± SE of Mexican fruit fly larvae produced per cup (g).
Fig. 1 in Frugivorous flies (Diptera: Tephritidae, Lonchaeidae) associated with fruit production on Ilha de Santana, Brazilian Amazon
Fig. 1. Sampling sites of fruits on Ilha de Santana, state of Amapá, Brazil (Jan to Jul 2015).
Fig. 5 in Inexpensive artisanal traps for mass trapping fruit flies (Diptera: Tephritidae) in Haiti
Fig. 5. Numbers of fruit flies caught by trap density in a mango orchard in Haiti.
Figure 3 in Embryonic development of the olive fruit fly, Bactrocera oleae Rossi (Diptera: Tephritidae), in vivo
Figure 3. Hatching of Bactrocera oleae egg by 66 h (A, B, C, and D).
Figure 43 in The determination of fruit fly (Diptera: Tephritidae) fauna in Adıyaman, Kilis, and Şanlıurfa provinces with a new record for Turkish fauna*
Figure 43. Wing pattern of Urophora terebrans. Figure 44. Wing pattern of Xyphosia miliaria.
Figure 3 in A Preliminary Survey of the Fruit Flies (Diptera: Tephritidae: Dacinae) of Bangladesh
Figure 3. Color variation patterns on scutum and abdomen of Bactrocera invadens in Burkina Faso.
Figure 1a, b in Protaetia orientalis (Coleoptera: Scarabaeidae) Attracted to Methyl Eugenol Fruit Fly Lure
Figure 1a, b. Adults of Protaetia orientalis (1a, left) and P. fusca (1b, right).
Figure 1 in Microsatellite based genetic diversity of Mediterranean fruit fly (Ceratitis capitata, Diptera: Tephritidae) populations from Southwest Turkey
Figure 1. Map of Turkey with sampling sites.
Fig. 1 in Bionomics of Bactrocera fruit flies (Diptera: Tephritidae) in Khyber Pakhtunkhwa, Pakistan; exploring performance of various trap types and their characteristics
Fig. 1. Map of Khyber Pakhtunkhwa showing (a) agro-ecological zones and (b) sampling sites.
Oregon-R-modENCODE(#25211) wild-type fruit fly (D.melanogaster) lifespan under standard maintenance conditions
<p><span>Aging is a phenomenon that manifests itself as permanent physiological deterioration, resulting in changes like reduction of immune function and fitness-related forms of behavior. Studies on changes in lifespan in response to various environmental alterations can bring knowledge of the mechanisms driving them. To properly conduct these studies, data on lifespan under the standard husbandry conditions are required.</span></p>
Fig. 2 in The effectiveness of fruit bagging and culling for risk mitigation of fruit flies affecting citrus in China: a preliminary report
Fig. 2. Culling at local purchase station.
Fig. 3 in The effectiveness of fruit bagging and culling for risk mitigation of fruit flies affecting citrus in China: a preliminary report
Fig. 3. Final packinghouse culling.
Data from: Standing geographic variation in eclosion time and the genomics of host race formation in Rhagoletis pomonella fruit flies
Taxa harboring high levels of standing variation may be more likely to adapt to rapid environmental shifts and experience ecological speciation. Here, we characterize geographic and host-related differentiation for 10,241 single nucleotide polymorphisms in Rhagoletis pomonella fruit flies to infer if standing genetic variation in adult eclosion time in the ancestral hawthorn (Crataegus spp.)-infesting host race, as opposed to new mutations, contributed substantially to its recent shift to earlier fruiting apple (Malus domestica). Allele frequency differences associated with early versus late eclosion time within each host race were significantly related to geographic genetic variation and host race differentiation across four sites, arrayed from north to south along a 430 km transect, where the host races co-occur in sympatry in the Midwest USA. Host fruiting phenology is clinal, with both apple and hawthorn trees fruiting earlier in the North and later in the South. Thus, we expected alleles associated with earlier eclosion to be at higher frequencies in northern populations. This pattern was observed in the hawthorn race across all four populations; however, allele frequency patterns in the apple race were more complex. Despite the generally earlier eclosion timing of apple flies and corresponding apple fruiting phenology, alleles on chromosomes 2 and 3 associated with earlier emergence were paradoxically at lower frequency in the apple than hawthorn host race across all four sympatric sites. However, loci on chromosome 1 did show higher frequencies of early eclosion associated alleles in the apple than hawthorn host race at the two southern sites, potentially accounting for their earlier eclosion phenotype. Thus, although extensive clinal genetic variation in the ancestral hawthorn race exists and contributed to the host shift to apple, further study is needed to resolve details of how this standing variation was selected to generate earlier eclosing apple fly populations in the North.
Data from: Host plant-related genomic differentiation in the European cherry fruit fly, Rhagoletis cerasi (L., 1758) (Diptera: Tephritidae)
<p>Elucidating the mechanisms and conditions facilitating the formation of biodiversity are central topics in evolutionary biology. A growing number of studies imply that divergent ecological selection may often play a critical role in speciation by counteracting the homogenising effects of gene flow. Several examples involve phytophagous insects, where divergent selection pressures associated with host plant shifts may generate reproductive isolation, promoting speciation. Here, we use ddRADseq to assess the population structure and to test for host-related genomic differentiation in the European cherry fruit fly, Rhagoletis cerasi (L., 1758) (Diptera: Tephritidae). This tephritid is distributed throughout Europe and western Asia, and has adapted to two different genera of host plants, Prunus spp. (cherries) and Lonicera spp. (honeysuckle). Our data imply that geographic distance and geomorphic barriers serve as the primary factors shaping genetic population structure across the species range. Locally, however, flies genetically cluster according to host plant, with consistent allele frequency differences displayed by a subset of loci between Prunus and Lonicera flies across four sites surveyed in Germany and Norway. These 17 loci display significantly higher FST values between host plants than others. They also showed high levels of linkage disequilibrium within and between Prunus and Lonicera flies, supporting host-related selection and reduced gene flow. Our findings support the existence of sympatric host races in R. cerasi embedded within broader patterns of geographic variation in the fly, similar to the related apple maggot, Rhagoletis pomonella, in North America.</p>
Comparing single-species and mixed-species groups in fruit flies: differences in group dynamics but not group formation
<p>Mixed-species groups describe active associations among individuals of two or more species at the same trophic level. Mixed-species groups are important to key ecological and evolutionary processes such as competition and predation; and ignoring the presence of other species risks ignoring a key aspect of the environment in which social behavior is expressed and selected. Despite the defining emphasis of active formation for mixed-species groups, surprisingly little is known about the mechanisms by which mixed-species groups form. Further, insects have been almost completely ignored in the study of mixed-species groups, despite their taxonomic importance and relative prominence in the study of single-species groups. Here, we measured group formation processes in Drosophila melanogaster and its sister species Drosophila simulans. Each species was studied alone, and together; and one population of D. melanogaster was also studied both alone and with another, phenotypically-distinct D. melanogaster population, in a nested-factorial design. This approach differs from typical methods of studying mixed-species groups in that we could quantitatively compare group formation between single-population, mixed-population, and mixed-species treatments. Surprisingly, we found no differences between treatments in the number, size, or composition of groups that formed, suggesting that single-species and mixed-species groups form through similar mechanisms of active attraction. However, we found that mixed-species groups showed elevated inter-species male-male interactions, relative to inter-population or inter-genotype interactions in single-species groups. Our findings expand the conceptual and taxonomic study of mixed-species groups while raising new questions about the mechanisms of group formation broadly.</p>
Abb. 2 in Die Fruchtfliegen Niedersachsens und Bremens (Diptera, Drosophilidae) The Fruit Flies (Diptera, Drosophilidae) of Lower Saxony and
Abb. 2: Räumliche Verteilung der nachgewiesenen Drosphilidae in Niedersachsen und Bremen.
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.