Tachykinin-Expressing Neurons Control Male-Specific Aggressive Arousal in Drosophila

Asahina, Kenta; Watanabe, Kiichi; Duistermars, Brian J.; Hoopfer, Eric D.; González, Carlos Larrinaga; Eyjolfsdottir, Eyrun; Perona, Pietro; Anderson, David J.

doi:10.1016/j.cell.2013.11.045

Cited by 282 publications

(379 citation statements)

References 85 publications

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“…Besides their myotropic activity, they also regulate aggression [114,115], act as modulators of olfactory perception and locomotion [116,117], and inhibit insulin signaling in the brain [118]. Tachykinins are expressed in the CNS and endocrine cells of the midgut [114,119,120].…”

Section: Tachykininmentioning

confidence: 99%

Peptidomics of Neuropeptidergic Tissues of the Tsetse FlyGlossina morsitans morsitans

Caers

Boonen

Abbeele³

et al. 2015

J. Am. Soc. Mass Spectrom.

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Abstract. Neuropeptides and peptide hormones are essential signaling molecules that regulate nearly all physiological processes. The recent release of the tsetse fly genome allowed the construction of a detailed in silico neuropeptide database (International Glossina Genome Consortium, Science 344, 380-386 (2014)), as well as an in-depth mass spectrometric analysis of the most important neuropeptidergic tissues of this medically and economically important insect species. Mass spectrometric confirmation of predicted peptides is a vital step in the functional characterization of neuropeptides, as in vivo peptides can be modified, cleaved, or even mispredicted. Using a nanoscale reversed phase liquid chromatography coupled to a Q Exactive Orbitrap mass spectrometer, we detected 51 putative bioactive neuropeptides encoded by 19 precursors: adipokinetic hormone (AKH) I and II, allatostatin A and B, capability/ pyrokinin (capa/PK), corazonin, calcitonin-like diuretic hormone (CT/DH), FMRFamide, hugin, leucokinin, myosuppressin, natalisin, neuropeptide-like precursor (NPLP) 1, orcokinin, pigment dispersing factor (PDF), RYamide, SIFamide, short neuropeptide F (sNPF) and tachykinin. In addition, propeptides, truncated and spacer peptides derived from seven additional precursors were found, and include the precursors of allatostatin C, crustacean cardioactive peptide, corticotropin releasing factor-like diuretic hormone (CRF/DH), ecdysis triggering hormone (ETH), ion transport peptide (ITP), neuropeptide F, and proctolin, respectively. The majority of the identified neuropeptides are present in the central nervous system, with only a limited number of peptides in the corpora cardiaca-corpora allata and midgut. Owing to the large number of identified peptides, this study can be used as a reference for comparative studies in other insects.

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Section: Tachykininmentioning

confidence: 99%

Peptidomics of Neuropeptidergic Tissues of the Tsetse FlyGlossina morsitans morsitans

Caers

Boonen

Abbeele³

et al. 2015

J. Am. Soc. Mass Spectrom.

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“…Aggression contains videos of two hyper aggressive males [25] and is used to quantify the effect of genetic manipulation on their behavior. The flies are placed in a circular 16mm diameter chamber with uniform food surface [26]. It consists of ten 30 minute videos recorded at 30Hz with 8 pix/mm.…”

Section: Fly-vs-flymentioning

confidence: 99%

Detecting Social Actions of Fruit Flies

Eyjolfsdottir

Branson

Burgos-Artizzu

et al. 2014

Computer Vision – ECCV 2014

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102

156

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Abstract. We describe a system that tracks pairs of fruit flies and automatically detects and classifies their actions. We compare experimentally the value of a frame-level feature representation with the more elaborate notion of 'bout features' that capture the structure within actions. Similarly, we compare a simple sliding window classifier architecture with a more sophisticated structured output architecture, and find that window based detectors outperform the much slower structured counterparts, and approach human performance. In addition we test our top performing detector on the CRIM13 mouse dataset, finding that it matches the performance of the best published method. Our Fly-vs-Fly dataset contains 22 hours of video showing pairs of fruit flies engaging in 10 social interactions in three different contexts; it is fully annotated by experts, and published with articulated pose trajectory features.

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“…2G,H;de la Paz Fernandez et al 2010;Wang and Anderson 2010;Wang et al 2011). In some cases, activation of DTK FruM neurons supplemented with excess DTK peptide could even promote attack toward a moving fly-sized inanimate object (Asahina et al 2014). These data suggest that DTK FruM neurons promote a state of arousal or motivation that is apparently aggression-specific.…”

Section: A Neuron and A Neuropeptide That Control Aggressive Arousalmentioning

confidence: 69%

“…2D), whereas inhibition of these neurons strongly reduced fighting ( Fig. 2E; Asahina et al 2014). Overexpression of the DTK peptide in DTKexpressing neurons potentiated the aggression-promoting effect of activating these cells, whereas deletions in the DTK gene reduced it (Fig.…”

Section: A Neuron and A Neuropeptide That Control Aggressive Arousalmentioning

confidence: 99%

“…As a first step toward understanding the neural coding of a state of aggressiveness, we carried out a screen for neuropeptide-secreting neurons that control agonistic behavior in Drosophila (Asahina et al 2014). This screen identified a small cluster (three to five cells) of male-specific, fruitless (FruM)-expressing neurons ( Fig.…”

Section: A Neuron and A Neuropeptide That Control Aggressive Arousalmentioning

confidence: 99%

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Internal States and Behavioral Decision-Making: Toward an Integration of Emotion and Cognition

Kennedy

Asahina²,

Hoopfer

et al. 2014

Cold Spring Harb Symp Quant Biol

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Social interactions, such as an aggressive encounter between two conspecific males or a mating encounter between a male and a female, typically progress from an initial appetitive or motivational phase, to a final consummatory phase. This progression involves both changes in the intensity of the animals' internal state of arousal or motivation and sequential changes in their behavior. How are these internal states, and their escalating intensity, encoded in the brain? Does this escalation drive the progression from the appetitive/motivational to the consummatory phase of a social interaction and, if so, how are appropriate behaviors chosen during this progression? Recent work on social behaviors in flies and mice suggests possible ways in which changes in internal state intensity during a social encounter may be encoded and coupled to appropriate behavioral decisions at appropriate phases of the interaction. These studies may have relevance to understanding how emotion states influence cognitive behavioral decisions at higher levels of brain function.

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Tachykinin-Expressing Neurons Control Male-Specific Aggressive Arousal in Drosophila

Cited by 282 publications

References 85 publications

Peptidomics of Neuropeptidergic Tissues of the Tsetse FlyGlossina morsitans morsitans

Peptidomics of Neuropeptidergic Tissues of the Tsetse FlyGlossina morsitans morsitans

Detecting Social Actions of Fruit Flies

Internal States and Behavioral Decision-Making: Toward an Integration of Emotion and Cognition

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