1
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Fan Y, Tian Y, Han J. The Glutamate-gated Chloride Channel Facilitates Sleep by Enhancing the Excitability of Two Pairs of Neurons in the Ventral Nerve Cord of Drosophila. Neurosci Bull 2025:10.1007/s12264-025-01397-1. [PMID: 40304877 DOI: 10.1007/s12264-025-01397-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2024] [Accepted: 01/12/2025] [Indexed: 05/02/2025] Open
Abstract
Sleep, an essential and evolutionarily conserved behavior, is regulated by numerous neurotransmitter systems. In mammals, glutamate serves as the wake-promoting signaling agent, whereas in Drosophila, it functions as the sleep-promoting signal. However, the precise molecular and cellular mechanisms through which glutamate promotes sleep remain elusive. Our study reveals that disruption of glutamate signaling significantly diminishes nocturnal sleep, and a neural cell-specific knockdown of the glutamate-gated chloride channel (GluClα) markedly reduces nocturnal sleep. We identified two pairs of neurons in the ventral nerve cord (VNC) that receive glutamate signaling input, and the GluClα derived from these neurons is crucial for sleep promotion. Furthermore, we demonstrated that GluClα mediates the glutamate-gated inhibitory input to these VNC neurons, thereby promoting sleep. Our findings elucidate that GluClα enhances nocturnal sleep by mediating the glutamate-gated inhibitory input to two pairs of VNC neurons, providing insights into the mechanism of sleep promotion in Drosophila.
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Affiliation(s)
- Yaqian Fan
- School of Life Science and Technology, The Key Laboratory of Developmental Genes and Human Disease, Southeast University, Nanjing, 210096, China
| | - Yao Tian
- School of Life Science and Technology, The Key Laboratory of Developmental Genes and Human Disease, Southeast University, Nanjing, 210096, China.
| | - Junhai Han
- School of Life Science and Technology, The Key Laboratory of Developmental Genes and Human Disease, Southeast University, Nanjing, 210096, China.
- Co-innovation Center of Neuroregeneration, Nantong University, Nantong, 226000, China.
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2
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Sang Y, Ning X, Xu Q, Wang L, Yan Y, Zhang L, Bi X. Characterization of transcriptomics during aging and genes required for lifespan in Drosophila intestine. Sci Rep 2025; 15:14692. [PMID: 40287511 PMCID: PMC12033250 DOI: 10.1038/s41598-025-98888-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2024] [Accepted: 04/15/2025] [Indexed: 04/29/2025] Open
Abstract
Aging is closely associated with imbalanced transcription. Regulated transcription in different organs is significantly different during aging, indicating that organ-specific transcriptomics is critical for understanding this process. Here we analyze the transcriptomics of the intestines of 3-, 15-, 30-, 40- and 50-days old female flies, which include young, middle-aged, and old flies. We find that the differential expression of protein-coding genes and lncRNAs is significant in aging, and fly age is characterized by well-separated gene expression trajectories. The highly clustered differentially expressed genes are connected to specific biological processes and signalling pathways. In particular, the Imd and Toll pathways are the top two immune signalling pathways that are highly regulated, and members with increased expression in the Imd pathway span all upstream activating events and include many ubiquitylation-associated factors and regulators of NF-κB factor Relish. Increased expression of Toll pathway members includes sensing mediators for all kinds of microorganisms and multiple proteases in the proteolytic processing cascade. Moreover, the expression of molecular markers of intestinal cells is greatly changed. Enterocyte markers are the most significantly influenced, and enteroendocrine markers AstA and NPF, as well as intestinal stem cell (ISC)/enteroblast (EB) markers Esg and Klu are expressed at low levels in young flies and much higher levels in aged flies. Furthermore, lncRNAs show similar expression trends and clustering patterns to those of protein-coding genes. Lastly, we find that ISC/EB-specific knock-down of 13 out of 19 genes that are highly differentially expressed reduces the lifespan of the fly. Together, the characterized transcriptomics and newly identified functional genes in aging will provide potential targets for preventing intestinal aging and associated disorders.
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Affiliation(s)
- Yan Sang
- Affiliated Hospital of Nantong University, School of Medicine, Nantong University, Nantong, 226001, China
| | - Xiufan Ning
- School of Medicine, Nantong University, Nantong, 226001, China
| | - Qi Xu
- College of Basic Medical Medicine, Dalian Medical University, Dalian, 116044, China
| | - Lan Wang
- College of Basic Medical Medicine, Dalian Medical University, Dalian, 116044, China
| | - Yuhang Yan
- School of Medicine, Nantong University, Nantong, 226001, China
| | - Lijiao Zhang
- School of Medicine, Nantong University, Nantong, 226001, China
| | - Xiaolin Bi
- School of Medicine, Nantong University, Nantong, 226001, China.
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3
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Jiang R, Tian Y, Yuan X, Guo F. Regulation of pre-dawn arousal in Drosophila by a pair of trissinergic descending neurons of the visual and circadian networks. Curr Biol 2025; 35:1750-1764.e3. [PMID: 40107265 DOI: 10.1016/j.cub.2025.02.056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2024] [Revised: 01/21/2025] [Accepted: 02/25/2025] [Indexed: 03/22/2025]
Abstract
Circadian neurons form a complex neural network that generates circadian oscillations. How the circadian neural network transmits circadian signals to other brain regions, thereby regulating the activity patterns in fruit flies, is not well known. Using the FlyWire database, we identified a cluster of descending neurons, DNp27, which is densely connected with key circadian neurons and the visual circuit, projecting extensively across the brain. DNp27 receives excitatory inputs from the circadian neurons DN3s at night and photo-inhibitory signals predominantly during the day, resulting in calcium oscillations that peak in the early morning and dip at dusk. Experimental manipulation of DNp27 revealed its role in activity regulation: artificial activation of DNp27 decreased flies' activity, while ablation or silencing led to an advance in the morning anticipatory peak. Similar alterations in the morning peak were observed following pan-neuronal knockdown of either Trissin or TrissinR, suggesting the involvement of this neuropeptide signaling pathway in DNp27 function. Moreover, neural circuitry and connectivity analyses indicate that DNp27 may regulate circadian neurons via extra-clock electrical oscillators (xCEOs). Lastly, we found that DNp27 modulates arousal thresholds by inhibiting light-responsive activity in the central brain, thereby promoting sleep stability, particularly in the pre-dawn period. Together, these findings suggest that DNp27 plays a crucial role in maintaining stable sleep patterns.
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Affiliation(s)
- Ruihan Jiang
- Department of Neurobiology, Department of Neurology of Sir Run Run Shaw Hospital and School of Brain Science and Brain Medicine, Zhejiang University School of Medicine, Hangzhou 310058, China; MOE Frontier Science Center for Brain Research and Brain-Machine Integration, State Key Laboratory of Brain-machine Intelligence, Zhejiang University, 1369 West Wenyi Road, Hangzhou 311121, China; NHC and CAMS Key Laboratory of Medical Neurobiology, Zhejiang University, Hangzhou 310058, China
| | - Yue Tian
- Department of Neurology of Children's Hospital and School of Brain Science and Brain Medicine, Zhejiang University School of Medicine, Hangzhou 310058, China; MOE Frontier Science Center for Brain Research and Brain-Machine Integration, State Key Laboratory of Brain-machine Intelligence, Zhejiang University, 1369 West Wenyi Road, Hangzhou 311121, China; NHC and CAMS Key Laboratory of Medical Neurobiology, Zhejiang University, Hangzhou 310058, China
| | - Xin Yuan
- Department of Neurobiology, Department of Neurology of Sir Run Run Shaw Hospital and School of Brain Science and Brain Medicine, Zhejiang University School of Medicine, Hangzhou 310058, China; MOE Frontier Science Center for Brain Research and Brain-Machine Integration, State Key Laboratory of Brain-machine Intelligence, Zhejiang University, 1369 West Wenyi Road, Hangzhou 311121, China; NHC and CAMS Key Laboratory of Medical Neurobiology, Zhejiang University, Hangzhou 310058, China
| | - Fang Guo
- Department of Neurobiology, Department of Neurology of Sir Run Run Shaw Hospital and School of Brain Science and Brain Medicine, Zhejiang University School of Medicine, Hangzhou 310058, China; Department of Neurology of Children's Hospital and School of Brain Science and Brain Medicine, Zhejiang University School of Medicine, Hangzhou 310058, China; MOE Frontier Science Center for Brain Research and Brain-Machine Integration, State Key Laboratory of Brain-machine Intelligence, Zhejiang University, 1369 West Wenyi Road, Hangzhou 311121, China; NHC and CAMS Key Laboratory of Medical Neurobiology, Zhejiang University, Hangzhou 310058, China.
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4
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Samara E, Schilling T, Ribeiro IMA, Haag J, Leonte MB, Borst A. Columnar cholinergic neurotransmission onto T5 cells of Drosophila. Curr Biol 2025; 35:1269-1284.e6. [PMID: 40020661 DOI: 10.1016/j.cub.2025.02.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2024] [Revised: 01/21/2025] [Accepted: 02/03/2025] [Indexed: 03/03/2025]
Abstract
Several nicotinic and muscarinic acetylcholine receptors (AChRs) are expressed in the brain of Drosophila melanogaster. However, the contribution of different AChRs to visual information processing remains poorly understood. T5 cells are the primary motion-sensing neurons in the OFF pathway and receive input from four different columnar cholinergic neurons, Tm1, Tm2, Tm4, and Tm9. We reasoned that different AChRs in T5 postsynaptic sites might contribute to direction selectivity, a central feature of motion detection. We show that the nicotinic nAChRα1, nAChRα3, nAChRα4, nAChRα5, nAChRα7, and nAChβ1 subunits localize on T5 dendrites. By targeting synaptic markers specifically to each cholinergic input neuron, we find a prevalence of the nAChRα5 in Tm1, Tm2, and Tm4-to-T5 synapses and of nAChRα7 in Tm9-to-T5 synapses. Knockdown of nAChRα4, nAChRα5, nAChRα7, or mAChR-B individually in T5 cells alters the optomotor response and reduces T5 directional selectivity. Our findings indicate the contribution of a consortium of postsynaptic receptors to input visual processing and, thus, to the computation of motion direction in T5 cells.
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Affiliation(s)
- Eleni Samara
- Max Planck Institute for Biological Intelligence, Department of Circuits-Computation-Models, Am Klopferspitz 18, 82152 Planegg, Germany; Graduate School of Systemic Neurosciences, Department Biology II Neurobiology, LMU Munich, Grosshaderner Strasse 2, 82152 Planegg, Germany.
| | - Tabea Schilling
- Max Planck Institute for Biological Intelligence, Department of Circuits-Computation-Models, Am Klopferspitz 18, 82152 Planegg, Germany
| | - Inês M A Ribeiro
- Max Planck Institute for Biological Intelligence, Department of Circuits-Computation-Models, Am Klopferspitz 18, 82152 Planegg, Germany; Institute of Medical Psychology, Medical Faculty, LMU Munich, Goethestrasse 31, 80336 Munich, Germany
| | - Juergen Haag
- Max Planck Institute for Biological Intelligence, Department of Circuits-Computation-Models, Am Klopferspitz 18, 82152 Planegg, Germany
| | - Maria-Bianca Leonte
- Max Planck Institute for Biological Intelligence, Department of Circuits-Computation-Models, Am Klopferspitz 18, 82152 Planegg, Germany; Graduate School of Systemic Neurosciences, Department Biology II Neurobiology, LMU Munich, Grosshaderner Strasse 2, 82152 Planegg, Germany
| | - Alexander Borst
- Max Planck Institute for Biological Intelligence, Department of Circuits-Computation-Models, Am Klopferspitz 18, 82152 Planegg, Germany.
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5
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Chen J, Zhu P, Jin S, Zhang Z, Jiang S, Li S, Liu S, Peng Q, Pan Y. A hormone-to-neuropeptide pathway inhibits sexual receptivity in immature Drosophila females. Proc Natl Acad Sci U S A 2025; 122:e2418481122. [PMID: 39982743 PMCID: PMC11874258 DOI: 10.1073/pnas.2418481122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2024] [Accepted: 01/21/2025] [Indexed: 02/22/2025] Open
Abstract
Newborns, typically asexual, undergo a process of sexual transition to reach sexual maturity, but the regulatory mechanism underlying this transition is not clear. Here, we studied how female sexual behavior is modulated during sexual transition by hormones and neuromodulators in Drosophila. We found that neuropeptide Leucokinin (LK) inhibits female receptivity specifically during a sexual transition period in immature females, but not in younger or mature females. Moreover, the steroid hormone ecdysone, which is mainly synthesized in the female ovary during sexual maturation, acts on LK neurons via the ecdysone receptor to suppress sexual receptivity. We further found that LK suppresses female receptivity through its receptor LKR in central pC1 neurons, a decision center for female sexual behavior. These findings reveal a hormone-to-neuropeptide pathway that specifically inhibits sexual behavior during sexual maturation in female Drosophila, shedding light on how hormones and neuromodulators coordinate sexual development and behaviors.
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Affiliation(s)
- Jie Chen
- The Key Laboratory of Developmental Genes and Human Disease, Jiangsu Key Laboratory of Brain Science and Medicine, School of Life Science and Technology, Southeast University, Nanjing210096, China
| | - Peiwen Zhu
- The Key Laboratory of Developmental Genes and Human Disease, Jiangsu Key Laboratory of Brain Science and Medicine, School of Life Science and Technology, Southeast University, Nanjing210096, China
| | - Sihui Jin
- The Key Laboratory of Developmental Genes and Human Disease, Jiangsu Key Laboratory of Brain Science and Medicine, School of Life Science and Technology, Southeast University, Nanjing210096, China
| | - Zhaokun Zhang
- The Key Laboratory of Developmental Genes and Human Disease, Jiangsu Key Laboratory of Brain Science and Medicine, School of Life Science and Technology, Southeast University, Nanjing210096, China
| | - Simei Jiang
- The Key Laboratory of Developmental Genes and Human Disease, Jiangsu Key Laboratory of Brain Science and Medicine, School of Life Science and Technology, Southeast University, Nanjing210096, China
| | - Sheng Li
- Guangdong Provincial Key Laboratory of Insect Developmental Biology and Applied Technology, Institute of Insect Science and Technology and School of Life Sciences, South China Normal University, Guangzhou510631, China
- Guangmeiyuan R&D Center, Guangdong Provincial Key Laboratory of Insect Developmental Biology and Applied Technology, South China Normal University, Meizhou514779, China
| | - Suning Liu
- Guangdong Provincial Key Laboratory of Insect Developmental Biology and Applied Technology, Institute of Insect Science and Technology and School of Life Sciences, South China Normal University, Guangzhou510631, China
- Guangmeiyuan R&D Center, Guangdong Provincial Key Laboratory of Insect Developmental Biology and Applied Technology, South China Normal University, Meizhou514779, China
| | - Qionglin Peng
- The Key Laboratory of Developmental Genes and Human Disease, Jiangsu Key Laboratory of Brain Science and Medicine, School of Life Science and Technology, Southeast University, Nanjing210096, China
| | - Yufeng Pan
- The Key Laboratory of Developmental Genes and Human Disease, Jiangsu Key Laboratory of Brain Science and Medicine, School of Life Science and Technology, Southeast University, Nanjing210096, China
- Co-innovation Center of Neuroregeneration, Nantong University, Nantong226019, China
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6
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Yadav SR, Gáliková M, Klepsatel P. Temperature-dependent sleep patterns in Drosophila. J Therm Biol 2025; 127:104026. [PMID: 39700683 DOI: 10.1016/j.jtherbio.2024.104026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2024] [Revised: 11/05/2024] [Accepted: 11/28/2024] [Indexed: 12/21/2024]
Abstract
Sleep is a fundamental physiological process conserved through evolution, from worms to humans. Understanding how temperature influences sleep is essential for comprehending the complexities of animal behavior, physiology, and their adaptations to thermal environments. This study explores the impact of temperature on sleep behavior and patterns in Drosophila melanogaster. Through a comprehensive analysis, we assessed how temperatures during development and adulthood affect sleep duration and fragmentation. Our results show that exposure to non-optimal temperatures increases overall sleep duration, primarily by extending daytime sleep. Sleep patterns were also substantially modulated by developmental temperature. Flies that developed at 29 °C exhibited longer sleep durations compared to those that developed at either 19 °C or 25 °C. In general, sleep was more prevalent than wakefulness under most conditions, particularly at non-optimal temperatures. At intermediate temperatures, sleep became more fragmented and episodes shorter. The interplay between sleep and wakefulness varied depending on both population and developmental temperature. Developmental and adult temperatures also influenced sleep latency, the time it takes to fall asleep. Interestingly, the impact of temperature on daytime sleep latency differed among populations, whereas nighttime sleep latency consistently increased with temperature for all groups. Flies that developed at 29 °C showed shorter sleep latencies than those from other temperatures, both during the day and night. Finally, a strong negative correlation was observed between total sleep duration and daily locomotor activity across all groups and temperatures. These findings underscore the critical role of environmental temperature in regulating sleep behavior in Drosophila, with potential implications for understanding temperature-dependent sleep mechanisms in other organisms.
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Affiliation(s)
- Sanjay Ramnarayan Yadav
- Institute of Zoology, Slovak Academy of Sciences, Dúbravská cesta 9, 845 06 Bratislava, Slovakia; Department of Molecular Biology, Faculty of Natural Sciences, Comenius University, Ilkovičova 6, Mlynská dolina, 842 15, Bratislava, Slovakia
| | - Martina Gáliková
- Institute of Zoology, Slovak Academy of Sciences, Dúbravská cesta 9, 845 06 Bratislava, Slovakia.
| | - Peter Klepsatel
- Institute of Zoology, Slovak Academy of Sciences, Dúbravská cesta 9, 845 06 Bratislava, Slovakia.
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7
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Reinhard N, Fukuda A, Manoli G, Derksen E, Saito A, Möller G, Sekiguchi M, Rieger D, Helfrich-Förster C, Yoshii T, Zandawala M. Synaptic connectome of the Drosophila circadian clock. Nat Commun 2024; 15:10392. [PMID: 39638801 PMCID: PMC11621569 DOI: 10.1038/s41467-024-54694-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2024] [Accepted: 11/18/2024] [Indexed: 12/07/2024] Open
Abstract
The circadian clock and its output pathways play a pivotal role in optimizing daily processes. To obtain insights into how diverse rhythmic physiology and behaviors are orchestrated, we have generated a comprehensive connectivity map of an animal circadian clock using the Drosophila FlyWire brain connectome. Intriguingly, we identified additional dorsal clock neurons, thus showing that the Drosophila circadian network contains ~240 instead of 150 neurons. We revealed extensive contralateral synaptic connectivity within the network and discovered novel indirect light input pathways to the clock neurons. We also elucidated pathways via which the clock modulates descending neurons that are known to regulate feeding and reproductive behaviors. Interestingly, we observed sparse monosynaptic connectivity between clock neurons and downstream higher-order brain centers and neurosecretory cells known to regulate behavior and physiology. Therefore, we integrated single-cell transcriptomics and receptor mapping to decipher putative paracrine peptidergic signaling by clock neurons. Our analyses identified additional novel neuropeptides expressed in clock neurons and suggest that peptidergic signaling significantly enriches interconnectivity within the clock network.
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Affiliation(s)
- Nils Reinhard
- Neurobiology and Genetics, Theodor-Boveri-Institute, Biocenter, Julius-Maximilians-University of Würzburg, Am Hubland, Würzburg, Germany
| | - Ayumi Fukuda
- Graduate School of Natural Science and Technology, Okayama University, Okayama, Japan
| | - Giulia Manoli
- Neurobiology and Genetics, Theodor-Boveri-Institute, Biocenter, Julius-Maximilians-University of Würzburg, Am Hubland, Würzburg, Germany
| | - Emilia Derksen
- Neurobiology and Genetics, Theodor-Boveri-Institute, Biocenter, Julius-Maximilians-University of Würzburg, Am Hubland, Würzburg, Germany
| | - Aika Saito
- Graduate School of Natural Science and Technology, Okayama University, Okayama, Japan
| | - Gabriel Möller
- Neurobiology and Genetics, Theodor-Boveri-Institute, Biocenter, Julius-Maximilians-University of Würzburg, Am Hubland, Würzburg, Germany
| | - Manabu Sekiguchi
- Graduate School of Natural Science and Technology, Okayama University, Okayama, Japan
| | - Dirk Rieger
- Neurobiology and Genetics, Theodor-Boveri-Institute, Biocenter, Julius-Maximilians-University of Würzburg, Am Hubland, Würzburg, Germany
| | - Charlotte Helfrich-Förster
- Neurobiology and Genetics, Theodor-Boveri-Institute, Biocenter, Julius-Maximilians-University of Würzburg, Am Hubland, Würzburg, Germany.
| | - Taishi Yoshii
- Graduate School of Natural Science and Technology, Okayama University, Okayama, Japan
| | - Meet Zandawala
- Neurobiology and Genetics, Theodor-Boveri-Institute, Biocenter, Julius-Maximilians-University of Würzburg, Am Hubland, Würzburg, Germany.
- Department of Biochemistry and Molecular Biology and Integrative Neuroscience Program, University of Nevada Reno, Reno, NV, USA.
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8
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Gilbert MB, Glastad KM, Fioriti M, Sorek M, Gannon T, Xu D, Pino LK, Korotkov A, Biashad A, Baeza J, Lauman R, Filippova A, Kacsoh BZ, Bonasio R, Mathis MW, Garcia BA, Seluanov A, Gorbunova V, Berger SL. Neuropeptides specify and reprogram division of labor in the leafcutter ant Atta cephalotes. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.11.07.622473. [PMID: 39574686 PMCID: PMC11581030 DOI: 10.1101/2024.11.07.622473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/16/2025]
Abstract
Social insects offer powerful models to investigate the mechanistic foundation of elaborate individual behaviors comprising a cooperative community. Workers of the leafcutter ant genus Atta provide an extreme example of behavioral segregation among many phenotypically distinct worker types. We utilize the complex worker system of Atta cephalotes to test the molecular underpinnings of behavioral programming and, in particular, the extent of plasticity to reprogramming. We identify specific neuropeptides as mediators of worker division of labor in A. cephalotes , finding two neuropeptides associated with characteristic behaviors of leafcutting and of brood care. Manipulation via genetic knockdown or by injection of these neuropeptides led to stark loss or gain of each behavior and to transcriptomic shifts in the predicted direction, that is, towards gene pathways expressed in the natural caste. We also compare specific A. cephalotes worker transcriptomes with those of orthologous workers of the eusocial mammal, the naked mole rat H. gaber , revealing global similarities between caste-biased expression and link to specific roles of our studied neuropeptides in ants. This work underscores the essential function of neuropeptides in establishing complex social behavior and a remarkable plasticity among individual behavioral types.
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9
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Hidalgo S, Chiu JC. Integration of photoperiodic and temperature cues by the circadian clock to regulate insect seasonal adaptations. J Comp Physiol A Neuroethol Sens Neural Behav Physiol 2024; 210:585-599. [PMID: 37584703 PMCID: PMC11057393 DOI: 10.1007/s00359-023-01667-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 07/27/2023] [Accepted: 08/06/2023] [Indexed: 08/17/2023]
Abstract
Organisms adapt to unfavorable seasonal conditions to survive. These seasonal adaptations rely on the correct interpretation of environmental cues such as photoperiod, and temperature. Genetic studies in several organisms, including the genetic powerhouse Drosophila melanogaster, indicate that circadian clock components, such as period and timeless, are involved in photoperiodic-dependent seasonal adaptations, but our understanding of this process is far from complete. In particular, the role of temperature as a key factor to complement photoperiodic response is not well understood. The development of new sequencing technologies has proven extremely useful in understanding the plastic changes that the clock and other cellular components undergo in different environmental conditions, including changes in gene expression and alternative splicing. This article discusses the integration of photoperiod and temperature for seasonal biology as well as downstream molecular and cellular pathways involved in the regulation of physiological adaptations that occur with changing seasons. We focus our discussion on the current understanding of the involvement of the molecular clock and the circadian clock neuronal circuits in these adaptations in D. melanogaster.
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Affiliation(s)
- Sergio Hidalgo
- Department of Entomology and Nematology, College of Agricultural and Environmental Sciences, University of California, Davis, CA, 95616, USA
| | - Joanna C Chiu
- Department of Entomology and Nematology, College of Agricultural and Environmental Sciences, University of California, Davis, CA, 95616, USA.
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10
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Ehrlich A, Xu AA, Luminari S, Kidd S, Treiber CD, Russo J, Blau J. Tango-seq: overlaying transcriptomics on connectomics to identify neurons downstream of Drosophila clock neurons. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.22.595372. [PMID: 38826334 PMCID: PMC11142192 DOI: 10.1101/2024.05.22.595372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2024]
Abstract
Knowing how neural circuits change with neuronal plasticity and differ between individuals is important to fully understand behavior. Connectomes are typically assembled using electron microscopy, but this is low throughput and impractical for analyzing plasticity or mutations. Here, we modified the trans-Tango genetic circuit-tracing technique to identify neurons synaptically downstream of Drosophila s-LNv clock neurons, which show 24hr plasticity rhythms. s-LNv target neurons were labeled specifically in adult flies using a nuclear reporter gene, which facilitated their purification and then single cell sequencing. We call this Tango-seq, and it allows transcriptomic data - and thus cell identity - to be overlayed on top of anatomical data. We found that s-LNvs preferentially make synaptic connections with a subset of the CNMa+ DN1p clock neurons, and that these are likely plastic connections. We also identified synaptic connections between s-LNvs and mushroom body Kenyon cells. Tango-seq should be a useful addition to the connectomics toolkit.
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Affiliation(s)
- Alison Ehrlich
- Department of Biology, New York University, 100 Washington Square East, New York, NY 10003, USA
| | - Angelina A Xu
- Department of Biology, New York University, 100 Washington Square East, New York, NY 10003, USA
| | - Sofia Luminari
- Department of Biology, New York University, 100 Washington Square East, New York, NY 10003, USA
| | - Simon Kidd
- Department of Biology, New York University, 100 Washington Square East, New York, NY 10003, USA
| | - Christoph D Treiber
- Centre for Neural Circuits and Behaviour, University of Oxford, UK
- Current address: Department of Biology, University of Oxford, UK
| | - Jordan Russo
- Department of Biology, New York University, 100 Washington Square East, New York, NY 10003, USA
| | - Justin Blau
- Department of Biology, New York University, 100 Washington Square East, New York, NY 10003, USA
- Center for Genomics and Systems Biology (CGSB), New York University Abu Dhabi, Abu Dhabi, UAE
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11
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Mao R, Yu J, Deng B, Dai X, Du Y, Du S, Zhang W, Rao Y. Conditional chemoconnectomics (cCCTomics) as a strategy for efficient and conditional targeting of chemical transmission. eLife 2024; 12:RP91927. [PMID: 38686992 PMCID: PMC11060718 DOI: 10.7554/elife.91927] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/02/2024] Open
Abstract
Dissection of neural circuitry underlying behaviors is a central theme in neurobiology. We have previously proposed the concept of chemoconnectome (CCT) to cover the entire chemical transmission between neurons and target cells in an organism and created tools for studying it (CCTomics) by targeting all genes related to the CCT in Drosophila. Here we have created lines targeting the CCT in a conditional manner after modifying GFP RNA interference, Flp-out, and CRISPR/Cas9 technologies. All three strategies have been validated to be highly effective, with the best using chromatin-peptide fused Cas9 variants and scaffold optimized sgRNAs. As a proof of principle, we conducted a comprehensive intersection analysis of CCT genes expression profiles in the clock neurons, uncovering 43 CCT genes present in clock neurons. Specific elimination of each from clock neurons revealed that loss of the neuropeptide CNMa in two posterior dorsal clock neurons (DN1ps) or its receptor (CNMaR) caused advanced morning activity, indicating a suppressive role of CNMa-CNMaR on morning anticipation, opposite to the promoting role of PDF-PDFR on morning anticipation. These results demonstrate the effectiveness of conditional CCTomics and its tools created here and establish an antagonistic relationship between CNMa-CNMaR and PDF-PDFR signaling in regulating morning anticipation.
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Affiliation(s)
- Renbo Mao
- Laboratory of Neurochemical Biology, Chinese Institute for Brain ResearchBeijingChina
- PKU-IDG/McGovern Institute for Brain Research, Peking-Tsinghua Center for Life Sciences, School of Life Sciences, Department of Chemical Biology, College of Chemistry and Chemical Engineering, School of Pharmaceutical Sciences, Peking UniversityBeijingChina
- Chinese Institutes for Medical Research, Capital Medical University; Changping LaboratoryChangpingChina
- Research Unit of Medical Neurobiology, Chinese Academy of Medical SciencesBeijingChina
- National Institute of Biological Sciences, Chinese Academy of Medical Sciences & Peking Union Medical CollegeBeijingChina
| | - Jianjun Yu
- Laboratory of Neurochemical Biology, Chinese Institute for Brain ResearchBeijingChina
- PKU-IDG/McGovern Institute for Brain Research, Peking-Tsinghua Center for Life Sciences, School of Life Sciences, Department of Chemical Biology, College of Chemistry and Chemical Engineering, School of Pharmaceutical Sciences, Peking UniversityBeijingChina
- Chinese Institutes for Medical Research, Capital Medical University; Changping LaboratoryChangpingChina
- Research Unit of Medical Neurobiology, Chinese Academy of Medical SciencesBeijingChina
| | - Bowen Deng
- Laboratory of Neurochemical Biology, Chinese Institute for Brain ResearchBeijingChina
- PKU-IDG/McGovern Institute for Brain Research, Peking-Tsinghua Center for Life Sciences, School of Life Sciences, Department of Chemical Biology, College of Chemistry and Chemical Engineering, School of Pharmaceutical Sciences, Peking UniversityBeijingChina
- Chinese Institutes for Medical Research, Capital Medical University; Changping LaboratoryChangpingChina
- Research Unit of Medical Neurobiology, Chinese Academy of Medical SciencesBeijingChina
| | - Xihuimin Dai
- Laboratory of Neurochemical Biology, Chinese Institute for Brain ResearchBeijingChina
- PKU-IDG/McGovern Institute for Brain Research, Peking-Tsinghua Center for Life Sciences, School of Life Sciences, Department of Chemical Biology, College of Chemistry and Chemical Engineering, School of Pharmaceutical Sciences, Peking UniversityBeijingChina
- Chinese Institutes for Medical Research, Capital Medical University; Changping LaboratoryChangpingChina
- Research Unit of Medical Neurobiology, Chinese Academy of Medical SciencesBeijingChina
| | - Yuyao Du
- Laboratory of Neurochemical Biology, Chinese Institute for Brain ResearchBeijingChina
- PKU-IDG/McGovern Institute for Brain Research, Peking-Tsinghua Center for Life Sciences, School of Life Sciences, Department of Chemical Biology, College of Chemistry and Chemical Engineering, School of Pharmaceutical Sciences, Peking UniversityBeijingChina
- Chinese Institutes for Medical Research, Capital Medical University; Changping LaboratoryChangpingChina
- Research Unit of Medical Neurobiology, Chinese Academy of Medical SciencesBeijingChina
| | - Sujie Du
- Laboratory of Neurochemical Biology, Chinese Institute for Brain ResearchBeijingChina
- PKU-IDG/McGovern Institute for Brain Research, Peking-Tsinghua Center for Life Sciences, School of Life Sciences, Department of Chemical Biology, College of Chemistry and Chemical Engineering, School of Pharmaceutical Sciences, Peking UniversityBeijingChina
- Chinese Institutes for Medical Research, Capital Medical University; Changping LaboratoryChangpingChina
- Research Unit of Medical Neurobiology, Chinese Academy of Medical SciencesBeijingChina
| | - Wenxia Zhang
- Laboratory of Neurochemical Biology, Chinese Institute for Brain ResearchBeijingChina
- PKU-IDG/McGovern Institute for Brain Research, Peking-Tsinghua Center for Life Sciences, School of Life Sciences, Department of Chemical Biology, College of Chemistry and Chemical Engineering, School of Pharmaceutical Sciences, Peking UniversityBeijingChina
- Chinese Institutes for Medical Research, Capital Medical University; Changping LaboratoryChangpingChina
- Research Unit of Medical Neurobiology, Chinese Academy of Medical SciencesBeijingChina
| | - Yi Rao
- Laboratory of Neurochemical Biology, Chinese Institute for Brain ResearchBeijingChina
- PKU-IDG/McGovern Institute for Brain Research, Peking-Tsinghua Center for Life Sciences, School of Life Sciences, Department of Chemical Biology, College of Chemistry and Chemical Engineering, School of Pharmaceutical Sciences, Peking UniversityBeijingChina
- Chinese Institutes for Medical Research, Capital Medical University; Changping LaboratoryChangpingChina
- Research Unit of Medical Neurobiology, Chinese Academy of Medical SciencesBeijingChina
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12
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Li H, Li Z, Yuan X, Tian Y, Ye W, Zeng P, Li XM, Guo F. Dynamic encoding of temperature in the central circadian circuit coordinates physiological activities. Nat Commun 2024; 15:2834. [PMID: 38565846 PMCID: PMC10987497 DOI: 10.1038/s41467-024-47278-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 03/26/2024] [Indexed: 04/04/2024] Open
Abstract
The circadian clock regulates animal physiological activities. How temperature reorganizes circadian-dependent physiological activities remains elusive. Here, using in-vivo two-photon imaging with the temperature control device, we investigated the response of the Drosophila central circadian circuit to temperature variation and identified that DN1as serves as the most sensitive temperature-sensing neurons. The circadian clock gate DN1a's diurnal temperature response. Trans-synaptic tracing, connectome analysis, and functional imaging data reveal that DN1as bidirectionally targets two circadian neuronal subsets: activity-related E cells and sleep-promoting DN3s. Specifically, behavioral data demonstrate that the DN1a-E cell circuit modulates the evening locomotion peak in response to cold temperature, while the DN1a-DN3 circuit controls the warm temperature-induced nocturnal sleep reduction. Our findings systematically and comprehensively illustrate how the central circadian circuit dynamically integrates temperature and light signals to effectively coordinate wakefulness and sleep at different times of the day, shedding light on the conserved neural mechanisms underlying temperature-regulated circadian physiology in animals.
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Affiliation(s)
- Hailiang Li
- Department of Neurobiology, Department of Neurology of Sir Run Run Shaw Hospital and School of Brain Science and Brain Medicine, Zhejiang University School of Medicine, Hangzhou, 310058, China
- MOE Frontier Science Center for Brain Research and Brain-Machine Integration, State Key Laboratory of Brain-machine Intelligence, Zhejiang University, 1369 West Wenyi Road, Hangzhou, 311121, China
- NHC and CAMS Key Laboratory of Medical Neurobiology, Zhejiang University, Hangzhou, 310058, China
| | - Zhiyi Li
- Department of Neurobiology, Department of Neurology of Sir Run Run Shaw Hospital and School of Brain Science and Brain Medicine, Zhejiang University School of Medicine, Hangzhou, 310058, China
- MOE Frontier Science Center for Brain Research and Brain-Machine Integration, State Key Laboratory of Brain-machine Intelligence, Zhejiang University, 1369 West Wenyi Road, Hangzhou, 311121, China
- NHC and CAMS Key Laboratory of Medical Neurobiology, Zhejiang University, Hangzhou, 310058, China
| | - Xin Yuan
- Department of Neurobiology, Department of Neurology of Sir Run Run Shaw Hospital and School of Brain Science and Brain Medicine, Zhejiang University School of Medicine, Hangzhou, 310058, China
- MOE Frontier Science Center for Brain Research and Brain-Machine Integration, State Key Laboratory of Brain-machine Intelligence, Zhejiang University, 1369 West Wenyi Road, Hangzhou, 311121, China
- NHC and CAMS Key Laboratory of Medical Neurobiology, Zhejiang University, Hangzhou, 310058, China
| | - Yue Tian
- Department of Neurobiology, Department of Neurology of Sir Run Run Shaw Hospital and School of Brain Science and Brain Medicine, Zhejiang University School of Medicine, Hangzhou, 310058, China
- MOE Frontier Science Center for Brain Research and Brain-Machine Integration, State Key Laboratory of Brain-machine Intelligence, Zhejiang University, 1369 West Wenyi Road, Hangzhou, 311121, China
- NHC and CAMS Key Laboratory of Medical Neurobiology, Zhejiang University, Hangzhou, 310058, China
| | - Wenjing Ye
- Department of Neurobiology, Department of Neurology of Sir Run Run Shaw Hospital and School of Brain Science and Brain Medicine, Zhejiang University School of Medicine, Hangzhou, 310058, China
- MOE Frontier Science Center for Brain Research and Brain-Machine Integration, State Key Laboratory of Brain-machine Intelligence, Zhejiang University, 1369 West Wenyi Road, Hangzhou, 311121, China
- NHC and CAMS Key Laboratory of Medical Neurobiology, Zhejiang University, Hangzhou, 310058, China
| | - Pengyu Zeng
- Department of Neurobiology, Department of Neurology of Sir Run Run Shaw Hospital and School of Brain Science and Brain Medicine, Zhejiang University School of Medicine, Hangzhou, 310058, China
- MOE Frontier Science Center for Brain Research and Brain-Machine Integration, State Key Laboratory of Brain-machine Intelligence, Zhejiang University, 1369 West Wenyi Road, Hangzhou, 311121, China
- NHC and CAMS Key Laboratory of Medical Neurobiology, Zhejiang University, Hangzhou, 310058, China
| | - Xiao-Ming Li
- MOE Frontier Science Center for Brain Research and Brain-Machine Integration, State Key Laboratory of Brain-machine Intelligence, Zhejiang University, 1369 West Wenyi Road, Hangzhou, 311121, China
- NHC and CAMS Key Laboratory of Medical Neurobiology, Zhejiang University, Hangzhou, 310058, China
- Department of Neurobiology and Department of Psychiatry of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, China
| | - Fang Guo
- Department of Neurobiology, Department of Neurology of Sir Run Run Shaw Hospital and School of Brain Science and Brain Medicine, Zhejiang University School of Medicine, Hangzhou, 310058, China.
- MOE Frontier Science Center for Brain Research and Brain-Machine Integration, State Key Laboratory of Brain-machine Intelligence, Zhejiang University, 1369 West Wenyi Road, Hangzhou, 311121, China.
- NHC and CAMS Key Laboratory of Medical Neurobiology, Zhejiang University, Hangzhou, 310058, China.
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13
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Zhao H, Jiang X, Ma M, Xing L, Ji X, Pan Y. A neural pathway for social modulation of spontaneous locomotor activity (SoMo-SLA) in Drosophila. Proc Natl Acad Sci U S A 2024; 121:e2314393121. [PMID: 38394240 PMCID: PMC10907233 DOI: 10.1073/pnas.2314393121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Accepted: 01/20/2024] [Indexed: 02/25/2024] Open
Abstract
Social enrichment or social isolation affects a range of innate behaviors, such as sex, aggression, and sleep, but whether there is a shared mechanism is not clear. Here, we report a neural mechanism underlying social modulation of spontaneous locomotor activity (SoMo-SLA), an internal-driven behavior indicative of internal states. We find that social enrichment specifically reduces spontaneous locomotor activity in male flies. We identify neuropeptides Diuretic hormone 44 (DH44) and Tachykinin (TK) to be up- and down-regulated by social enrichment and necessary for SoMo-SLA. We further demonstrate a sexually dimorphic neural circuit, in which the male-specific P1 neurons encoding internal states form positive feedback with interneurons coexpressing doublesex (dsx) and Tk to promote locomotion, while P1 neurons also form negative feedback with interneurons coexpressing dsx and DH44 to inhibit locomotion. These two opposing neuromodulatory recurrent circuits represent a potentially common mechanism that underlies the social regulation of multiple innate behaviors.
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Affiliation(s)
- Huan Zhao
- The Key Laboratory of Developmental Genes and Human Disease, School of Life Science and Technology, Southeast University, Nanjing210096, China
| | - Xinyu Jiang
- The Key Laboratory of Developmental Genes and Human Disease, School of Life Science and Technology, Southeast University, Nanjing210096, China
| | - Mingze Ma
- The Key Laboratory of Developmental Genes and Human Disease, School of Life Science and Technology, Southeast University, Nanjing210096, China
| | - Limin Xing
- The Key Laboratory of Developmental Genes and Human Disease, School of Life Science and Technology, Southeast University, Nanjing210096, China
| | - Xiaoxiao Ji
- The Key Laboratory of Developmental Genes and Human Disease, School of Life Science and Technology, Southeast University, Nanjing210096, China
| | - Yufeng Pan
- The Key Laboratory of Developmental Genes and Human Disease, School of Life Science and Technology, Southeast University, Nanjing210096, China
- Co-innovation Center of Neuroregeneration, Nantong University, Nantong226019, China
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14
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Wang Y, Zhang Y, Wu X, Ren C, Zhang Z, Yang Q, Li X, Chen G. Feasibility of applying a noninvasive method for sleep monitoring based on mouse behaviors. Brain Behav 2023; 13:e3311. [PMID: 37932957 PMCID: PMC10726919 DOI: 10.1002/brb3.3311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 10/06/2023] [Accepted: 10/24/2023] [Indexed: 11/08/2023] Open
Abstract
INTRODUCTION Currently, electroencephalogram (EEG)/electromyogram (EMG) system is widely regarded as the "golden standard" for sleep monitoring. Imperfectly, its invasive monitoring may somehow interfere with the natural state of sleep. Up to now, noninvasive methods for sleep monitoring have developed, which could preserve the undisturbed and naïve sleep state of mice to the greatest extent, but the feasibility of their application under different conditions should be extensive validated. METHODS Based on existing research, we verified the feasibility of a sleep monitoring system based on mouse behaviors under different conditions. The experimental mice were exposed to various stresses and placed into a combined device comprising noninvasive sleep monitoring equipment and an EEG/EMG system, and the sleep status was recorded under different physiological, pharmacological, and pathophysiological conditions. The consistency of the parameters obtained from the different systems was calculated using the Bland-Altman statistical method. RESULTS The results demonstrated that the physiological sleep times determined by noninvasive sleep monitoring system were highly consistent with those obtained from the EEG/EMG system, and the coefficients were 94.4% and 95.1% in C57BL/6J and CD-1 mice, respectively. The noninvasive sleep monitoring system exhibited high sensitivity under the sleep-promoting effect of diazepam and caffeine-induced wakefulness, which was indicated by its ability to detect the effect of dosage on sleep times, and accurate determination of the sleep/wakeful status of mice under different pathophysiological conditions. After combining the data obtained from all the mice, the coefficient between the sleep times detected by behavior-based sleep monitoring system and those obtained from the EEG/EMG equipment was determined to .94. CONCLUSION The results suggested that behavior-based sleep monitoring system could accurately evaluate the sleep/wakeful states of mice under different conditions.
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Affiliation(s)
- Ya‐Tao Wang
- Department of Neurology (Sleep Disorders)The Affiliated Chaohu Hospital of Anhui Medical UniversityHefeiAnhuiP. R. China
| | - Yue‐Ming Zhang
- Department of Neurology (Sleep Disorders)The Affiliated Chaohu Hospital of Anhui Medical UniversityHefeiAnhuiP. R. China
| | - Xu Wu
- School of Life SciencesUniversity of Science and Technology of ChinaHefeiP. R. China
| | - Chong‐Yang Ren
- Department of Neurology (Sleep Disorders)The Affiliated Chaohu Hospital of Anhui Medical UniversityHefeiAnhuiP. R. China
- Departments of Anesthesiology, General Practice, or Critical CareThe First Affiliated Hospital of Anhui Medical UniversityHefeiAnhuiP. R. China
| | - Zhe‐Zhe Zhang
- Department of Neurology (Sleep Disorders)The Affiliated Chaohu Hospital of Anhui Medical UniversityHefeiAnhuiP. R. China
| | - Qi‐Gang Yang
- Departments of Anesthesiology, General Practice, or Critical CareThe First Affiliated Hospital of Anhui Medical UniversityHefeiAnhuiP. R. China
| | - Xue‐Yan Li
- Department of Neurology (Sleep Disorders)The Affiliated Chaohu Hospital of Anhui Medical UniversityHefeiAnhuiP. R. China
| | - Gui‐Hai Chen
- Department of Neurology (Sleep Disorders)The Affiliated Chaohu Hospital of Anhui Medical UniversityHefeiAnhuiP. R. China
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15
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Ji X, Li X, Wang L, Liu S, Jiang X, Pan Y. Asexuality in Drosophila juvenile males is organizational and independent of juvenile hormone. EMBO Rep 2023; 24:e56898. [PMID: 37530648 PMCID: PMC10561357 DOI: 10.15252/embr.202356898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Revised: 06/26/2023] [Accepted: 07/14/2023] [Indexed: 08/03/2023] Open
Abstract
Sexuality is generally prevented in newborns and arises with organizational rewiring of neural circuitry and optimization of fitness for reproduction competition. Recent studies reported that sex circuitry in Drosophila melanogaster is developed in juvenile males but functionally inhibited by juvenile hormone (JH). Here, we find that the fly sex circuitry, mainly expressing the male-specific fruitless (fruM ) and/or doublesex (dsx), is organizationally undeveloped and functionally inoperative in juvenile males. Artificially activating all fruM neurons induces substantial courtship in solitary adult males but not in juvenile males. Synaptic transmissions between major courtship regulators and all dsx neurons are strong in adult males but either weak or undetectable in juvenile males. We further find that JH does not inhibit male courtship in juvenile males but instead promotes courtship robustness in adult males. Our results indicate that the transition to sexuality from juvenile to adult flies requires organizational rewiring of neural circuitry.
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Affiliation(s)
- Xiaoxiao Ji
- The Key Laboratory of Developmental Genes and Human Disease, School of Life Science and TechnologySoutheast UniversityNanjingChina
| | - Xiaolong Li
- The Key Laboratory of Developmental Genes and Human Disease, School of Life Science and TechnologySoutheast UniversityNanjingChina
| | - Lin Wang
- The Key Laboratory of Developmental Genes and Human Disease, School of Life Science and TechnologySoutheast UniversityNanjingChina
| | - Suning Liu
- Guangmeiyuan R&D Center, Guangdong Provincial Key Laboratory of Insect Developmental Biology and Applied TechnologySouth China Normal UniversityMeizhouChina
| | - Xinyu Jiang
- The Key Laboratory of Developmental Genes and Human Disease, School of Life Science and TechnologySoutheast UniversityNanjingChina
| | - Yufeng Pan
- The Key Laboratory of Developmental Genes and Human Disease, School of Life Science and TechnologySoutheast UniversityNanjingChina
- Co‐innovation Center of NeuroregenerationNantong UniversityNantongChina
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16
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Goda T, Umezaki Y, Hamada FN. Molecular and Neural Mechanisms of Temperature Preference Rhythm in Drosophila melanogaster. J Biol Rhythms 2023; 38:326-340. [PMID: 37222551 PMCID: PMC10330063 DOI: 10.1177/07487304231171624] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
Temperature influences animal physiology and behavior. Animals must set an appropriate body temperature to maintain homeostasis and maximize survival. Mammals set their body temperatures using metabolic and behavioral strategies. The daily fluctuation in body temperature is called the body temperature rhythm (BTR). For example, human body temperature increases during wakefulness and decreases during sleep. BTR is controlled by the circadian clock, is closely linked with metabolism and sleep, and entrains peripheral clocks located in the liver and lungs. However, the underlying mechanisms of BTR are largely unclear. In contrast to mammals, small ectotherms, such as Drosophila, control their body temperatures by choosing appropriate environmental temperatures. The preferred temperature of Drosophila increases during the day and decreases at night; this pattern is referred to as the temperature preference rhythm (TPR). As flies are small ectotherms, their body temperature is close to that of the surrounding environment. Thus, Drosophila TPR produces BTR, which exhibits a pattern similar to that of human BTR. In this review, we summarize the regulatory mechanisms of TPR, including recent studies that describe neuronal circuits relaying ambient temperature information to dorsal neurons (DNs). The neuropeptide diuretic hormone 31 (DH31) and its receptor (DH31R) regulate TPR, and a mammalian homolog of DH31R, the calcitonin receptor (CALCR), also plays an important role in mouse BTR regulation. In addition, both fly TPR and mammalian BTR are separately regulated from another clock output, locomotor activity rhythms. These findings suggest that the fundamental mechanisms of BTR regulation may be conserved between mammals and flies. Furthermore, we discuss the relationships between TPR and other physiological functions, such as sleep. The dissection of the regulatory mechanisms of Drosophila TPR could facilitate an understanding of mammalian BTR and the interaction between BTR and sleep regulation.
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Affiliation(s)
- Tadahiro Goda
- Department of Neurobiology, Physiology & Behavior, University of California, Davis, Davis, California
| | - Yujiro Umezaki
- Department of Neurobiology, Physiology & Behavior, University of California, Davis, Davis, California
| | - Fumika N. Hamada
- Department of Neurobiology, Physiology & Behavior, University of California, Davis, Davis, California
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17
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Lange AP, Wolf FW. Alcohol sensitivity and tolerance encoding in sleep regulatory circadian neurons in Drosophila. Addict Biol 2023; 28:e13304. [PMID: 37500483 PMCID: PMC10911855 DOI: 10.1111/adb.13304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 04/17/2023] [Accepted: 05/30/2023] [Indexed: 07/29/2023]
Abstract
Alcohol tolerance is a simple form of behavioural and neural plasticity that occurs with the first drink. Neural plasticity in tolerance is likely a substrate for longer term adaptations that can lead to alcohol use disorder. Drosophila develop tolerance with characteristics similar to vertebrates, and it is a useful model for determining the molecular and circuit encoding mechanisms in detail. Rapid tolerance, measured after the first alcohol exposure is completely metabolized, is localized to specific brain regions that are not interconnected in an obvious way. We used a forward neuroanatomical screen to identify three new neural sites for rapid tolerance encoding. One of these was composed of two groups of neurons, the DN1a and DN1p glutamatergic neurons, that are part of the Drosophila circadian clock. We localized rapid tolerance to the two DN1a neurons that regulate arousal by light at night, temperature-dependent sleep timing, and night-time sleep. Two clock neurons that regulate evening activity, LNd6 and the 5th LNv, are postsynaptic to the DN1as, and they promote rapid tolerance via the metabotropic glutamate receptor. Thus, rapid tolerance to alcohol overlaps with sleep regulatory neural circuitry, suggesting a mechanistic link.
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Affiliation(s)
- Anthony P. Lange
- Quantitative and Systems Biology Graduate Program, University of California, Merced, California, USA
| | - Fred W. Wolf
- Quantitative and Systems Biology Graduate Program, University of California, Merced, California, USA
- Department of Molecular and Cell Biology, University of California, Merced, California, USA
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18
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Oh Y, Suh GSB. Starvation-induced sleep suppression requires the Drosophila brain nutrient sensor. J Neurogenet 2023:1-8. [PMID: 37267057 DOI: 10.1080/01677063.2023.2203489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Accepted: 04/12/2023] [Indexed: 06/04/2023]
Abstract
Animals increase their locomotion activity and reduce sleep duration under starved conditions. This suggests that sleep and metabolic status are closely interconnected. The nutrient and hunger sensors in the Drosophila brain, including diuretic hormone 44 (DH44)-, CN-, and cupcake-expressing neurons, detect circulating glucose levels in the internal milieu, regulate the insulin and glucagon secretion and promote food consumption. Food deprivation is known to reduce sleep duration, but a potential role mediated by the nutrient and hunger sensors in regulating sleep and locomotion activity remains unclear. Here, we show that DH44 neurons are involved in regulating starvation-induced sleep suppression, but CN neurons or cupcake neurons may not be involved in regulating starvation-induced sleep suppression or baseline sleep patterns. Inactivation of DH44 neurons resulted in normal daily sleep durations and patterns under fed conditions, whereas it ablated sleep reduction under starved conditions. Inactivation of CN neurons or cupcake neurons, which were proposed to be nutrient and hunger sensors in the fly brain, did not affect sleep patterns under both fed and starved conditions. We propose that the glucose-sensing DH44 neurons play an important role in mediating starvation-induced sleep reduction.
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Affiliation(s)
- Yangkyun Oh
- Department of Life Sciences, College of Natural Sciences, Ewha Womans University, Seoul, South Korea
| | - Greg S B Suh
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon, South Korea
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19
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Lee G, Jang H, Oh Y. The role of diuretic hormones (DHs) and their receptors in Drosophila. BMB Rep 2023; 56:209-215. [PMID: 36977606 PMCID: PMC10140481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 03/12/2023] [Accepted: 03/28/2023] [Indexed: 03/30/2023] Open
Abstract
Maintaining internal homeostasis and regulating innate behaviors are essential for animal survival. In various animal species, a highly conserved neuroendocrine system integrates sensory inputs and regulates physiological responses to environmental and internal changes. Diuretic hormones 44 and 31, which are homologs of mammalian corticotropin-releasing factor (CRF) and calcitonin gene-related peptide (CGRP), respectively, control body fluid secretion in Drosophila. These neuropeptides and their receptors have multiple physiological roles, including the regulation of body-fluid secretion, sleep:wake cycle, internal nutrientsensing, and CO2-dependent response. This review discusses the physiological and behavioral roles of DH44 and DH31 signaling pathways, consisting of neuroendocrine cells that secrete DH44 or DH31 peptides and their receptor-expressing organs. Further research is needed to understand the regulatory mechanisms of the behavioral processes mediated by these neuroendocrine systems. [BMB Reports 2023; 56(4): 209-215].
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Affiliation(s)
- Gahbien Lee
- Department of Life Sciences, College of Natural Sciences, Ewha Womans University, Seoul 03760, Korea
| | - Heejin Jang
- Department of Life Sciences, College of Natural Sciences, Ewha Womans University, Seoul 03760, Korea
| | - Yangkyun Oh
- Department of Life Sciences, College of Natural Sciences, Ewha Womans University, Seoul 03760, Korea
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20
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Lee G, Jang H, Oh Y. The role of diuretic hormones (DHs) and their receptors in Drosophila. BMB Rep 2023; 56:209-215. [PMID: 36977606 PMCID: PMC10140481 DOI: 10.5483/bmbrep.2023-0021] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 03/12/2023] [Accepted: 03/28/2023] [Indexed: 10/11/2023] Open
Abstract
Maintaining internal homeostasis and regulating innate behaviors are essential for animal survival. In various animal species, a highly conserved neuroendocrine system integrates sensory inputs and regulates physiological responses to environmental and internal changes. Diuretic hormones 44 and 31, which are homologs of mammalian corticotropin-releasing factor (CRF) and calcitonin gene-related peptide (CGRP), respectively, control body fluid secretion in Drosophila. These neuropeptides and their receptors have multiple physiological roles, including the regulation of body-fluid secretion, sleep:wake cycle, internal nutrientsensing, and CO2-dependent response. This review discusses the physiological and behavioral roles of DH44 and DH31 signaling pathways, consisting of neuroendocrine cells that secrete DH44 or DH31 peptides and their receptor-expressing organs. Further research is needed to understand the regulatory mechanisms of the behavioral processes mediated by these neuroendocrine systems. [BMB Reports 2023; 56(4): 209-215].
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Affiliation(s)
- Gahbien Lee
- Department of Life Sciences, College of Natural Sciences, Ewha Womans University, Seoul 03760, Korea
| | - Heejin Jang
- Department of Life Sciences, College of Natural Sciences, Ewha Womans University, Seoul 03760, Korea
| | - Yangkyun Oh
- Department of Life Sciences, College of Natural Sciences, Ewha Womans University, Seoul 03760, Korea
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21
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Lange AP, Wolf FW. Alcohol tolerance encoding in sleep regulatory circadian neurons in Drosophila. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.30.526363. [PMID: 36778487 PMCID: PMC9915517 DOI: 10.1101/2023.01.30.526363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Alcohol tolerance is a simple form of behavioral and neural plasticity that occurs with the first drink. Neural plasticity in tolerance is likely a substrate for longer term adaptations that can lead to alcohol use disorder. Drosophila develop tolerance with characteristics similar to vertebrates, and it is useful model for determining the molecular and circuit encoding mechanisms in detail. Rapid tolerance, measured after the first alcohol exposure is completely metabolized, is localized to specific brain regions that are not interconnected in an obvious way. We used a forward neuroanatomical screen to identify three new neural sites for rapid tolerance encoding. One of these was comprised of two groups of neurons, the DN1a and DN1p glutamatergic neurons, that are part of the Drosophila circadian clock. We localized rapid tolerance to the two DN1a neurons that regulate arousal by light at night, temperature-dependent sleep timing, and night-time sleep. Two clock neurons that regulate evening activity, LNd6 and the 5th LNv, are postsynaptic to the DN1as and they promote rapid tolerance via the metabotropic glutamate receptor. Thus, rapid tolerance to alcohol overlaps with sleep regulatory neural circuitry, suggesting a mechanistic link.
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Affiliation(s)
- Anthony P. Lange
- Quantitative and Systems Biology Graduate Program, University of California, Merced, CA 95343
| | - Fred W. Wolf
- Quantitative and Systems Biology Graduate Program, University of California, Merced, CA 95343
- Department of Molecular and Cell Biology, University of California, Merced, CA 95343
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22
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Yan W, Lin H, Yu J, Wiggin TD, Wu L, Meng Z, Liu C, Griffith LC. Subtype-Specific Roles of Ellipsoid Body Ring Neurons in Sleep Regulation in Drosophila. J Neurosci 2023; 43:764-786. [PMID: 36535771 PMCID: PMC9899086 DOI: 10.1523/jneurosci.1350-22.2022] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2022] [Revised: 09/22/2022] [Accepted: 10/26/2022] [Indexed: 12/23/2022] Open
Abstract
The ellipsoid body (EB) is a major structure of the central complex of the Drosophila melanogaster brain. Twenty-two subtypes of EB ring neurons have been identified based on anatomic and morphologic characteristics by light-level microscopy and EM connectomics. A few studies have associated ring neurons with the regulation of sleep homeostasis and structure. However, cell type-specific and population interactions in the regulation of sleep remain unclear. Using an unbiased thermogenetic screen of EB drivers using female flies, we found the following: (1) multiple ring neurons are involved in the modulation of amount of sleep and structure in a synergistic manner; (2) analysis of data for ΔP(doze)/ΔP(wake) using a mixed Gaussian model detected 5 clusters of GAL4 drivers which had similar effects on sleep pressure and/or depth: lines driving arousal contained R4m neurons, whereas lines that increased sleep pressure had R3m cells; (3) a GLM analysis correlating ring cell subtype and activity-dependent changes in sleep parameters across all lines identified several cell types significantly associated with specific sleep effects: R3p was daytime sleep-promoting, and R4m was nighttime wake-promoting; and (4) R3d cells present in 5HT7-GAL4 and in GAL4 lines, which exclusively affect sleep structure, were found to contribute to fragmentation of sleep during both day and night. Thus, multiple subtypes of ring neurons distinctively control sleep amount and/or structure. The unique highly interconnected structure of the EB suggests a local-network model worth future investigation; understanding EB subtype interactions may provide insight how sleep circuits in general are structured.SIGNIFICANCE STATEMENT How multiple brain regions, with many cell types, can coherently regulate sleep remains unclear, but identification of cell type-specific roles can generate opportunities for understanding the principles of integration and cooperation. The ellipsoid body (EB) of the fly brain exhibits a high level of connectivity and functional heterogeneity yet is able to tune multiple behaviors in real-time, including sleep. Leveraging the powerful genetic tools available in Drosophila and recent progress in the characterization of the morphology and connectivity of EB ring neurons, we identify several EB subtypes specifically associated with distinct aspects of sleep. Our findings will aid in revealing the rules of coding and integration in the brain.
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Affiliation(s)
- Wei Yan
- Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen, 518000, China
| | - Hai Lin
- Central Research Institute, United Imaging Healthcare, Shanghai, 200032, China
| | - Junwei Yu
- Department of Biology, National Center for Behavioral Genomics and Volen Center for Complex Systems, Brandeis University, Waltham, Massachusetts 02453
| | - Timothy D Wiggin
- Department of Biology, National Center for Behavioral Genomics and Volen Center for Complex Systems, Brandeis University, Waltham, Massachusetts 02453
| | - Litao Wu
- Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen, 518000, China
| | - Zhiqiang Meng
- Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen, 518000, China
- CAS Key Laboratory of Brain Connectome and Manipulation, Shenzhen, 518000, China
- Shenzhen Key Laboratory of Drug Addiction, Shenzhen, 518000, China
| | - Chang Liu
- Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen, 518000, China
- CAS Key Laboratory of Brain Connectome and Manipulation, Shenzhen, 518000, China
- Shenzhen Key Laboratory of Viral Vectors for Biomedicine, Shenzhen, 518000, China
| | - Leslie C Griffith
- Department of Biology, National Center for Behavioral Genomics and Volen Center for Complex Systems, Brandeis University, Waltham, Massachusetts 02453
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23
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Abstract
Sleep is a fundamental, evolutionarily conserved, plastic behavior that is regulated by circadian and homeostatic mechanisms as well as genetic factors and environmental factors, such as light, humidity, and temperature. Among environmental cues, temperature plays an important role in the regulation of sleep. This review presents an overview of thermoreception in animals and the neural circuits that link this process to sleep. Understanding the influence of temperature on sleep can provide insight into basic physiologic processes that are required for survival and guide strategies to manage sleep disorders.
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24
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Delventhal R, Barber AF. Sensory integration: Time and temperature regulate fly siesta. Curr Biol 2022; 32:R1020-R1022. [PMID: 36220091 DOI: 10.1016/j.cub.2022.08.072] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Temperatures outside the preferred range require flies to acutely adjust their behavior. A new study finds that heat-sensing neurons provide input to fly circadian clock neurons to extend the daytime siesta, allowing flies to sleep through excessive daytime heat.
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Affiliation(s)
- Rebecca Delventhal
- Department of Biology, Lake Forest College, 555 North Sheridan Road, Lake Forest, IL 60045, USA
| | - Annika F Barber
- Waksman Institute, Department of Molecular Biology and Biochemistry, Rutgers, the State University of New Jersey, 190 Frelinghuysen Rd., Piscataway, NJ 08854, USA.
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25
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Alpert MH, Gil H, Para A, Gallio M. A thermometer circuit for hot temperature adjusts Drosophila behavior to persistent heat. Curr Biol 2022; 32:4079-4087.e4. [PMID: 35981537 PMCID: PMC9529852 DOI: 10.1016/j.cub.2022.07.060] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 07/15/2022] [Accepted: 07/20/2022] [Indexed: 11/22/2022]
Abstract
Small poikilotherms such as the fruit fly Drosophila depend on absolute temperature measurements to identify external conditions that are above (hot) or below (cold) their preferred range and to react accordingly. Hot and cold temperatures have a different impact on fly activity and sleep, but the circuits and mechanisms that adjust behavior to specific thermal conditions are not well understood. Here, we use patch-clamp electrophysiology to show that internal thermosensory neurons located within the fly head capsule (the AC neurons1) function as a thermometer active in the hot range. ACs exhibit sustained firing rates that scale with absolute temperature-but only for temperatures above the fly's preferred ∼25°C (i.e., "hot" temperature). We identify ACs in the fly brain connectome and demonstrate that they target a single class of circadian neurons, the LPNs.2 LPNs receive excitatory drive from ACs and respond robustly to hot stimuli, but their responses do not exclusively rely on ACs. Instead, LPNs receive independent drive from thermosensory neurons of the fly antenna via a new class of second-order projection neurons (TPN-IV). Finally, we show that silencing LPNs blocks the restructuring of daytime "siesta" sleep, which normally occurs in response to persistent heat. Our previous work described a distinct thermometer circuit for cold temperature.3 Together, the results demonstrate that the fly nervous system separately encodes and relays absolute hot and cold temperature information, show how patterns of sleep and activity can be adapted to specific temperature conditions, and illustrate how persistent drive from sensory pathways can impact behavior on extended temporal scales.
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Affiliation(s)
- Michael H Alpert
- Department of Neurobiology, Northwestern University, Evanston, IL 60208, USA
| | - Hamin Gil
- Department of Neurobiology, Northwestern University, Evanston, IL 60208, USA
| | - Alessia Para
- Department of Neurobiology, Northwestern University, Evanston, IL 60208, USA
| | - Marco Gallio
- Department of Neurobiology, Northwestern University, Evanston, IL 60208, USA.
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26
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Crespo-Flores SL, Barber AF. The Drosophila circadian clock circuit is a nonhierarchical network of peptidergic oscillators. CURRENT OPINION IN INSECT SCIENCE 2022; 52:100944. [PMID: 35709899 DOI: 10.1016/j.cois.2022.100944] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 06/02/2022] [Accepted: 06/07/2022] [Indexed: 06/15/2023]
Abstract
The relatively simple Drosophila circadian clock circuit consists of 150 clock neurons that coordinate rhythmic behavior and physiology, which are generally classified based on neuroanatomical location. Transcriptional and connectomic studies have identified novel subdivisions of these clock neuron populations, and identified neuropeptides not previously known to be expressed in the fly clock circuit. An additional feature of fly clock neurons is daily axonal remodeling, first noted in small ventrolateral neurons, but more recently also found in additional clock neuron groups. These findings raise new questions about the functional roles of clock neuron subpopulations and daily remodeling of network architecture in regulating circadian behavior and physiology.
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Affiliation(s)
- Sergio L Crespo-Flores
- Waksman Institute, Department of Molecular Biology and Biochemistry, Rutgers, the State University of New Jersey, USA
| | - Annika F Barber
- Waksman Institute, Department of Molecular Biology and Biochemistry, Rutgers, the State University of New Jersey, USA.
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27
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Nässel DR, Zandawala M. Endocrine cybernetics: neuropeptides as molecular switches in behavioural decisions. Open Biol 2022; 12:220174. [PMID: 35892199 PMCID: PMC9326288 DOI: 10.1098/rsob.220174] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
Plasticity in animal behaviour relies on the ability to integrate external and internal cues from the changing environment and hence modulate activity in synaptic circuits of the brain. This context-dependent neuromodulation is largely based on non-synaptic signalling with neuropeptides. Here, we describe select peptidergic systems in the Drosophila brain that act at different levels of a hierarchy to modulate behaviour and associated physiology. These systems modulate circuits in brain regions, such as the central complex and the mushroom bodies, which supervise specific behaviours. At the top level of the hierarchy there are small numbers of large peptidergic neurons that arborize widely in multiple areas of the brain to orchestrate or modulate global activity in a state and context-dependent manner. At the bottom level local peptidergic neurons provide executive neuromodulation of sensory gain and intrinsically in restricted parts of specific neuronal circuits. The orchestrating neurons receive interoceptive signals that mediate energy and sleep homeostasis, metabolic state and circadian timing, as well as external cues that affect food search, aggression or mating. Some of these cues can be triggers of conflicting behaviours such as mating versus aggression, or sleep versus feeding, and peptidergic neurons participate in circuits, enabling behaviour choices and switches.
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Affiliation(s)
- Dick R. Nässel
- Department of Zoology, Stockholm University, 10691 Stockholm, Sweden
| | - Meet Zandawala
- Neurobiology and Genetics, Theodor-Boveri-Institute, Biocenter, University of Würzburg, Am Hubland Würzburg 97074, Germany
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28
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Duhart JM, Ceriani MF. Dorsal clock neurons claw their way out to control sleep in Drosophila. Neuron 2022; 110:2044-2046. [DOI: 10.1016/j.neuron.2022.05.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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29
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Recurrent circadian circuitry regulates central brain activity to maintain sleep. Neuron 2022; 110:2139-2154.e5. [PMID: 35525241 DOI: 10.1016/j.neuron.2022.04.010] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 03/14/2022] [Accepted: 04/07/2022] [Indexed: 12/19/2022]
Abstract
Animal brains have discrete circadian neurons, but little is known about how they are coordinated to influence and maintain sleep. Here, through a systematic optogenetic screening, we identified a subtype of uncharacterized circadian DN3 neurons that is strongly sleep promoting in Drosophila. These anterior-projecting DN3s (APDN3s) receive signals from DN1 circadian neurons and then output to newly identified noncircadian "claw" neurons (CLs). CLs have a daily Ca2+ cycle, which peaks at night and correlates with DN1 and DN3 Ca2+ cycles. The CLs feedback onto a subset of DN1s to form a positive recurrent loop that maintains sleep. Using trans-synaptic photoactivatable green fluorescent protein (PA-GFP) tracing and functional in vivo imaging, we demonstrated that the CLs drive sleep by interacting with and releasing acetylcholine onto the mushroom body γ lobe. Taken together, the data identify a novel self-reinforcing loop within the circadian network and a new sleep-promoting neuropile that are both essential for maintaining normal sleep.
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30
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Reinhard N, Schubert FK, Bertolini E, Hagedorn N, Manoli G, Sekiguchi M, Yoshii T, Rieger D, Helfrich-Förster C. The Neuronal Circuit of the Dorsal Circadian Clock Neurons in Drosophila melanogaster. Front Physiol 2022; 13:886432. [PMID: 35574472 PMCID: PMC9100938 DOI: 10.3389/fphys.2022.886432] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 03/28/2022] [Indexed: 11/30/2022] Open
Abstract
Drosophila’s dorsal clock neurons (DNs) consist of four clusters (DN1as, DN1ps, DN2s, and DN3s) that largely differ in size. While the DN1as and the DN2s encompass only two neurons, the DN1ps consist of ∼15 neurons, and the DN3s comprise ∼40 neurons per brain hemisphere. In comparison to the well-characterized lateral clock neurons (LNs), the neuroanatomy and function of the DNs are still not clear. Over the past decade, numerous studies have addressed their role in the fly’s circadian system, leading to several sometimes divergent results. Nonetheless, these studies agreed that the DNs are important to fine-tune activity under light and temperature cycles and play essential roles in linking the output from the LNs to downstream neurons that control sleep and metabolism. Here, we used the Flybow system, specific split-GAL4 lines, trans-Tango, and the recently published fly connectome (called hemibrain) to describe the morphology of the DNs in greater detail, including their synaptic connections to other clock and non-clock neurons. We show that some DN groups are largely heterogenous. While certain DNs are strongly connected with the LNs, others are mainly output neurons that signal to circuits downstream of the clock. Among the latter are mushroom body neurons, central complex neurons, tubercle bulb neurons, neurosecretory cells in the pars intercerebralis, and other still unidentified partners. This heterogeneity of the DNs may explain some of the conflicting results previously found about their functionality. Most importantly, we identify two putative novel communication centers of the clock network: one fiber bundle in the superior lateral protocerebrum running toward the anterior optic tubercle and one fiber hub in the posterior lateral protocerebrum. Both are invaded by several DNs and LNs and might play an instrumental role in the clock network.
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Affiliation(s)
- Nils Reinhard
- Julius Maximilian University of Würzburg, Würzburg, Germany
| | | | - Enrico Bertolini
- Neurobiology and Genetics, Theodor-Boveri-Institute, Biocenter, University of Würzburg, Würzburg, Würzburg, Germany
| | | | - Giulia Manoli
- Julius Maximilian University of Würzburg, Würzburg, Germany
| | - Manabu Sekiguchi
- Graduate School of Natural Science and Technology, Okayama University, Okayama, Japan
| | - Taishi Yoshii
- Graduate School of Natural Science and Technology, Okayama University, Okayama, Japan
| | - Dirk Rieger
- Julius Maximilian University of Würzburg, Würzburg, Germany
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31
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Chen SC, Tang X, Goda T, Umezaki Y, Riley AC, Sekiguchi M, Yoshii T, Hamada FN. Dorsal clock networks drive temperature preference rhythms in Drosophila. Cell Rep 2022; 39:110668. [PMID: 35417715 PMCID: PMC9109596 DOI: 10.1016/j.celrep.2022.110668] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 09/21/2021] [Accepted: 03/22/2022] [Indexed: 11/24/2022] Open
Abstract
Animals display a body temperature rhythm (BTR). Little is known about the mechanisms by which a rhythmic pattern of BTR is regulated and how body temperature is set at different times of the day. As small ectotherms, Drosophila exhibit a daily temperature preference rhythm (TPR), which generates BTR. Here, we demonstrate dorsal clock networks that play essential roles in TPR. Dorsal neurons 2 (DN2s) are the main clock for TPR. We find that DN2s and posterior DN1s (DN1ps) contact and the extent of contacts increases during the day and that the silencing of DN2s or DN1ps leads to a lower temperature preference. The data suggest that temporal control of the microcircuit from DN2s to DN1ps contributes to TPR regulation. We also identify anterior DN1s (DN1as) as another important clock for TPR. Thus, we show that the DN networks predominantly control TPR and determine both a rhythmic pattern and preferred temperatures.
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Affiliation(s)
- Shyh-Chi Chen
- Division of Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA
| | - Xin Tang
- Division of Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA
| | - Tadahiro Goda
- Division of Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA; Department of Neurobiology, Physiology and Behavior, University of California, Davis, Davis, CA 95616, USA
| | - Yujiro Umezaki
- Division of Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA; Department of Neurobiology, Physiology and Behavior, University of California, Davis, Davis, CA 95616, USA
| | - Abigail C Riley
- Division of Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA
| | - Manabu Sekiguchi
- Graduate School of Natural Science and Technology, Okayama University, Okayama 700-8530, Japan
| | - Taishi Yoshii
- Graduate School of Natural Science and Technology, Okayama University, Okayama 700-8530, Japan
| | - Fumika N Hamada
- Division of Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA; Department of Neurobiology, Physiology and Behavior, University of California, Davis, Davis, CA 95616, USA.
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32
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Nociception and hypersensitivity involve distinct neurons and molecular transducers in Drosophila. Proc Natl Acad Sci U S A 2022; 119:e2113645119. [PMID: 35294287 PMCID: PMC8944580 DOI: 10.1073/pnas.2113645119] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
SignificanceFunctional plasticity of the nociceptive circuit is a remarkable feature and is of clinical relevance. As an example, nociceptors lower their threshold upon tissue injury, a process known as allodynia that would facilitate healing by guarding the injured areas. However, long-lasting hypersensitivity could lead to chronic pain, a debilitating disease not effectively treated. Therefore, it is crucial to dissect the mechanisms underlying basal nociception and nociceptive hypersensitivity. In both vertebrate and invertebrate species, conserved transient receptor potential (Trp) channels are the primary transducers of noxious stimuli. Here, we provide a precedent that in Drosophila larvae, heat sensing in the nociception and hypersensitivity states is mediated by distinct heat-sensitive neurons and TrpA1 alternative isoforms.
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33
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Jin X, Gu P, Han J. Protocol for Drosophila sleep deprivation using single-chip board. STAR Protoc 2021; 2:100827. [PMID: 34585161 PMCID: PMC8456114 DOI: 10.1016/j.xpro.2021.100827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Sleep behavior is characterized by long-term quiescence and increased arousal threshold, and it is homeostatically regulated. The sleep rebound after deprivation is utilized to verify the abilities to maintain homeostasis. This protocol shows how to build a programmed mechanic oscillation system and detailed procedures to conduct sleep deprivation in Drosophila. This deprivation system is featured by its programming flexibility. The knowledge of electronic circuits and a certain level of programming are both required to fulfill this protocol. For complete details on the use and execution of this protocol, please refer to Jin et al. (2021). The retrofitted oscillator is controlled by a pseudo-random trigger signal A programmable single-chip board enables system flexibility The modular design simplifies debugging and maintenance
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Affiliation(s)
- Xi Jin
- School of Life Science and Technology, the Key Laboratory of Developmental Genes and Human Disease, Southeast University, 2 Sipailou Road, Nanjing 210096, China
| | - Pengyu Gu
- School of Life Science and Technology, the Key Laboratory of Developmental Genes and Human Disease, Southeast University, 2 Sipailou Road, Nanjing 210096, China
| | - Junhai Han
- School of Life Science and Technology, the Key Laboratory of Developmental Genes and Human Disease, Southeast University, 2 Sipailou Road, Nanjing 210096, China
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34
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Nettnin EA, Sallese TR, Nasseri A, Saurabh S, Cavanaugh DJ. Dorsal clock neurons in Drosophila sculpt locomotor outputs but are dispensable for circadian activity rhythms. iScience 2021; 24:103001. [PMID: 34505011 PMCID: PMC8413890 DOI: 10.1016/j.isci.2021.103001] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 06/04/2021] [Accepted: 08/16/2021] [Indexed: 11/26/2022] Open
Abstract
The circadian system is comprised three components: a network of core clock cells in the brain that keeps time, input pathways that entrain clock cells to the environment, and output pathways that use this information to ensure appropriate timing of physiological and behavioral processes throughout the day. Core clock cells can be divided into molecularly distinct populations that likely make unique functional contributions. Here we clarify the role of the dorsal neuron 1 (DN1) population of clock neurons in the transmission of circadian information by the Drosophila core clock network. Using an intersectional genetic approach that allowed us to selectively and comprehensively target DN1 cells, we show that suppressing DN1 neuronal activity alters the magnitude of daily activity and sleep without affecting overt rhythmicity. This suggests that DN1 cells are dispensable for both the generation of circadian information and the propagation of this information across output circuits. Intersectional genetic approach targets DN1 cells comprehensively and selectively DN1p silencing alters distribution and amount of activity and sleep across the day DN1p cell firing is neither necessary nor sufficient for circadian activity rhythms DN1a silencing subtly alters total activity and sleep but leaves rhythmicity intact
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Affiliation(s)
- Ella A Nettnin
- Department of Biology, Loyola University Chicago, Chicago IL 60660, USA
| | - Thomas R Sallese
- Department of Biology, Loyola University Chicago, Chicago IL 60660, USA
| | - Anita Nasseri
- Department of Biology, Loyola University Chicago, Chicago IL 60660, USA
| | - Sumit Saurabh
- Department of Biology, Loyola University Chicago, Chicago IL 60660, USA
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