Serotonin Signals Overcome Loser Mentality in Drosophila
Autor: | Yin Peng Zhan, Yan Zhu, Shao Wei Hu, Yuanjie Sun, Yan Tong Yang |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
0301 basic medicine
02 engineering and technology Molecular neuroscience Behavioral neuroscience Article 03 medical and health sciences Behavioral Neuroscience Cellular neuroscience medicine Mating lcsh:Science Drosophila Multidisciplinary biology Aggression 021001 nanoscience & nanotechnology biology.organism_classification Neurological effects 030104 developmental biology Cellular Neuroscience lcsh:Q Serotonin medicine.symptom Molecular Neuroscience 0210 nano-technology Psychology Neuroscience |
Zdroj: | iScience, Vol 23, Iss 11, Pp 101651-(2020) iScience |
ISSN: | 2589-0042 |
Popis: | Summary Traumatic experiences generate stressful neurological effects in the exposed persons and animals. Previous studies have demonstrated that in many species, including Drosophila, the defeated animal has a higher probability of losing subsequent fights. However, the neural basis of this “loser effect” is largely unknown. We herein report that elevated serotonin (5-HT) signaling helps a loser to overcome suppressive neurological states. Coerced activation of 5-HT neurons increases aggression in males and promotes losers to both vigorously re-engage in fights and even defeat the previous winners and regain mating motivation. P1 neurons act upstream and 5-HT1B neurons in the ellipsoid body act downstream of 5-HT neurons to arouse losers. Our results demonstrate an ancient neural mechanism of regulating depressive behavioral states after distressing events. Graphical Abstract Highlights • Activating a small subset of serotonin neurons promotes losers to fight • Serotonin is necessary and sufficient for modulating aggression in losers • The neural circuit for motivating losers includes P1, 5-HT, and 5-HT1B neurons • Elevating 5-HT signaling overcomes the depressive behavioral state in losers Behavioral Neuroscience; Molecular Neuroscience; Cellular Neuroscience |
Databáze: | OpenAIRE |
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