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841 results for “fruit flies”
Figs 18–19. Ichneumonopsis spp., wing. 18. I. burmensis Hardy, 1973. 19. I in A revision of Ichneumonopsis Hardy, 1973 (Diptera: Tephritidae: Dacinae: Gastrozonini), Oriental bamboo-shoot fruit flies
Figs 18–19. Ichneumonopsis spp., wing. 18. I. burmensis Hardy, 1973. 19. I. taiwanensis sp. nov.
Figs 5–6. I in A revision of Ichneumonopsis Hardy, 1973 (Diptera: Tephritidae: Dacinae: Gastrozonini), Oriental bamboo-shoot fruit flies
Figs 5–6. I. hancocki sp. nov., head, anterior view. 5. ♂. 6. ♀.
Fig. 1 in A revision of Ichneumonopsis Hardy, 1973 (Diptera: Tephritidae: Dacinae: Gastrozonini), Oriental bamboo-shoot fruit flies
Fig. 1. Collecting localities of Ichneumonopsis spp.
Paired fruit flies synchronize behavior - data
<p>This contains the .mat file with behavioral labels, heading direction, and centroid data for female/female, male/male, and courtship (female/male) pairings of <em>Drosophila melanogaster. </em></p> <p> </p>
Fruit flies can learn non-elemental olfactory discriminations
Associative learning allows animals to establish links between stimuli based on their concomitance. In the case of Pavlovian conditioning, a single stimulus A (the conditional stimulus, CS) is reinforced unambiguously with an unconditional stimulus (US) eliciting an innate response. This conditioning constitutes an 'elemental' association enabling to elicit a learnt response from A+ without US presentation after learning. However, associative learning may involve a 'complex' CS composed of several components. In that case, the compound may predict a different outcome than the components taken separately, leading to an ambiguity and requiring the animal to perform a so-called 'non-elemental' discrimination. Here we focus on such a non-elemental task, the negative patterning (NP) problem, and provide the first evidence of NP solving in Drosophila. We show that Drosophila learn to discriminate a simple component (A or B) associated to electric shocks (+) from an odour mixture composed either partly (called 'feature-negative discrimination' A+ vs. AB-) or entirely (called 'NP' A+B+ vs. AB-) of the shock associated components. Furthermore, we show that conditioning repetition results in a transition from an elemental to a configural representation of the mixture required to solve the NP task, highlighting the cognitive flexibility of Drosophila.
Fig. 1 in The Taxonomy And Phylogenetic Relationships Of Species In The Bactrocera Musae Complex Of Fruit Flies (Diptera: Tephritidae: Dacinae) In Papua New Guinea
Fig. 1. Bactrocera (Bactrocera) balagawii, new species.
Fig. 2 in The Taxonomy And Phylogenetic Relationships Of Species In The Bactrocera Musae Complex Of Fruit Flies (Diptera: Tephritidae: Dacinae) In Papua New Guinea
Fig. 2. Bactrocera (Bactrocera) parabancroftii, new species.
Fig. 4 in The Taxonomy And Phylogenetic Relationships Of Species In The Bactrocera Musae Complex Of Fruit Flies (Diptera: Tephritidae: Dacinae) In Papua New Guinea
Fig. 4. Bactrocera (Bactrocera) rufivitta, new species.
Fig. 5 in The Taxonomy And Phylogenetic Relationships Of Species In The Bactrocera Musae Complex Of Fruit Flies (Diptera: Tephritidae: Dacinae) In Papua New Guinea
Fig. 5. Bactrocera (Bactrocera) uvariae, new species.
Fig. 3 in The Taxonomy And Phylogenetic Relationships Of Species In The Bactrocera Musae Complex Of Fruit Flies (Diptera: Tephritidae: Dacinae) In Papua New Guinea
Fig. 3. Bactrocera (Bactrocera) ramuensis, new species.
Fig. 1 in The Fruit Flies Of Morocco: New Records Of The Tephritinae (Diptera, Tephritidae)
Fig. 1. Map of collecting sites (as listed in table 1).
Fig. 1–3. C. absinthi. 1 in Fruit Flies Of The Genus Campiglossa (Diptera, Tephritidae) In Iran, With The Key To Species
Fig. 1–3. C. absinthi. 1 — ♀, habitus, right; 2 — mesonotum, dorsally; 3 — wing (SIZK).
Fig. 35–36 in Fruit Flies Of The Genus Campiglossa (Diptera, Tephritidae) In Iran, With The Key To Species
Fig. 35–36. Campiglossa sp. 35 — ♀, habitus, right; 36 — wing (SMNC).
Dataset and R script for Collection and Processing of Behavioural Data of the Olive Fruit Fly, Bactrocera oleae, when Exposed to Olive Twigs Treated with Different Commercial Products
<p>We provide raw data and R script for analysis of data published in:</p> <p>1) Daher, E.; Cinosi, N.; Chierici, E.; Rondoni, G.; Famiani, F.; Conti, E. Field and Laboratory Efficacy of Low-Impact Commercial<br> Products in Preventing Olive Fruit Fly, Bactrocera oleae, Infestation. Insects 2022, 13, 213. https://doi.org/10.3390/insects13020213</p> <p>2) Daher, E.; Chierici, E.; Cinosi, N.; Rondoni, G.; Famiani, F.; Conti, E. Collection and Processing of Behavioural Data of the Olive Fruit Fly, <em>Bactrocera oleae</em>, when Exposed to Olive Twigs Treated with Different Commercial Products. <em>Data </em><strong>2022</strong>, <em>7</em>,</p>
Data from: Female fruit flies copy the acceptance, but not the rejection, of a mate
<p>Acceptance and avoidance can be socially transmitted, especially in the case of mate choice. When a <em>Drosophila melanogaster </em>female observes a conspecific female (called demonstrator female) choosing to mate with one of two males, the former female (called observer female) can memorize and copy the latter female's choice. Traditionally in mate-copying experiments, demonstrations provide two types of information to observer females, namely the acceptance (positive) of one male, and the rejection of the other male (negative). To disentangle the respective roles of positive and negative information in <em>Drosophila</em> mate copying, we performed experiments in which demonstrations provided only one type of information at a time. We found that positive information alone is sufficient to trigger mate copying. Observer females preferred males of phenotype A after watching a female mating with a male of phenotype A in the absence of any other male. Contrastingly, negative information alone (provided by a demonstrator female actively rejecting a male of phenotype B) did not affect future observer females' mate choice. These results suggest that the informative part of demonstrations in <em>Drosophila </em>mate-copying experiments lies mainly, if not exclusively, in the positive information provided by the copulation with a given male. We discuss the reasons for such a result and suggest that <em>Drosophila </em>females learn to prefer the successful males, implying that the underlying learning mechanisms may be shared with those of appetitive memory in non-social associative learning.</p>
Navigating the landscape of fear: Fruit flies exhibit distinct anti-predator and anti-parasite defensive behaviours
<p>Most organisms are at risk of being consumed by a predator or infected by a parasite at some point in their life. Theoretical constructs such as the landscape of fear (perception of risk) and non-consumptive effects (NCEs, costly responses sans predation or infection) have been proposed to describe and quantify anti-predator and anti-parasite responses. How prey/host species identify and respond to these risks determines their survival, reproductive success and, ultimately, fitness. Most studies to date have focused on either predator-prey or parasite-host interactions, yet habitats and ecosystems contain both parasitic and/or predatory species that represent a complex and heterogenous mosaic of risk factors. Here, we experimentally investigated the behavioural responses of a cactophilic fruit fly, <em>Drosophila nigrospiracula</em>, exposed to a range of species that include parasites (ectoparasitic mite), predators (jumping spiders), as well harmless heterospecifics (non-parasitic mites, ants and weevils). We demonstrate that D. nigrospiracula can differentiate between threat and non-threat species, increase erratic movements and decrease velocity in the presence of parasites, but decrease erratic movements and time spent grooming in the presence of predators. Of particular importance, flies could distinguish between parasitic female mites and non-parasitic male mites of the same species, and respond accordingly. We also show that the direction of these non-consumptive effects differ when exposed to parasitic mites (i.e., risk of infection) versus spiders (i.e., risk of predation). Given the opposing effects of predation versus infection risk on fly behaviour, we discuss potential trade-offs between parasite and predator avoidance behaviours. Our findings illustrate the complexity of risk assessment in a landscape of fear and the fine-tuned non-consumptive effects that arise in response. Moreover, this study is the first to examine these behavioural NCEs in a terrestrial system.</p>
Figure 6 in Host effect on morphology of the fruit fly Anastrepha zenildae (Diptera: Tephritidae) from the Semi-Arid region of Rio Grande do Norte
Figure 6. Wireframe Comparison of Discriminant Function Analysis of the wings of Anastrepha zenildae (Males and females) from Guava and Jua fruits. (A) Wing shape variation between female and male flies of the same host, in a semi-arid region. (B) between female and male flies from different hosts. GUAF = Females from Guava; GUAM = Males from Guava; JUAF = Females from Jua; JUAM = Males from Jua. Larger symbols: Centroids of each dataset.
Figure 4 in Host effect on morphology of the fruit fly Anastrepha zenildae (Diptera: Tephritidae) from the Semi-Arid region of Rio Grande do Norte
Figure 4. Principal component analysis (PCA) of the adult flies of Anastrepha zenildae (Males and females) from Guava and Jua fruits. GUAF = Females from Guava; GUAM = Males from Guava; JUAF = Females from Jua; JUAM = Males from Jua. Larger symbols: Centroids of each dataset.
Figure 5 in Host effect on morphology of the fruit fly Anastrepha zenildae (Diptera: Tephritidae) from the Semi-Arid region of Rio Grande do Norte
Figure 5. CanonicalVariable Analysis (CVA) of the wings of adult Anastrepha zenildae (Males and females) from Guava and Jua fruits (above), and the wireframes of wing shape for each investigated component (below). GUAF = Females from Guava; GUAM = Males from Guava; JUAF = Females from Jua; JUAM = Males from Jua. Wireframes in black represent displacement for each CV.
Figure 3 in Host effect on morphology of the fruit fly Anastrepha zenildae (Diptera: Tephritidae) from the Semi-Arid region of Rio Grande do Norte
Figure 3. Representation of landmarks in wing structure and consensus shape applied to Anastrepha zenildae with landmarks. 1 = intersection of humeral and costal veins; 2 = intersection of subcostal and costal vens; 3 = intersection of R1 and costal veins; 4 = intersection of R2+3 and costal veins; 5 = intersection of R4+5 and costal veins; 6 = intersection of M vein with wing margin; 7 = intersection of vein Cu1 with wing margin; 8 = intersection of vein A1+Cu2 and wing margin; 9 = intersection of A1 and Cu2 veins; 10 = intersection of M vein and base of bm cell; 11 = intersection of Cu1 and Cu2 veins; 12 = intersection of M and bm-cu veins; 13 = intersection of Cu1 and bm-cu veins; 14 = intersection of r-m and R4+5 veins; 15 = intersection of r-m and M veins; 16 = intersection of M and dm-cu veins; 17 = intersection of Cu1 and dm-cu veins.
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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.