1
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Gabrawy MM, Westbrook R, King A, Khosravian N, Ochaney N, DeCarvalho T, Wang Q, Yu Y, Huang Q, Said A, Abadir M, Zhang C, Khare P, Fairman JE, Le A, Milne GL, Vonhoff FJ, Walston JD, Abadir PM. Dual treatment with kynurenine pathway inhibitors and NAD + precursors synergistically extends life span in Drosophila. Aging Cell 2024; 23:e14102. [PMID: 38481042 PMCID: PMC11019140 DOI: 10.1111/acel.14102] [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: 11/17/2023] [Revised: 01/19/2024] [Accepted: 01/24/2024] [Indexed: 04/17/2024] Open
Abstract
Tryptophan catabolism is highly conserved and generates important bioactive metabolites, including kynurenines, and in some animals, NAD+. Aging and inflammation are associated with increased levels of kynurenine pathway (KP) metabolites and depleted NAD+, factors which are implicated as contributors to frailty and morbidity. Contrastingly, KP suppression and NAD+ supplementation are associated with increased life span in some animals. Here, we used DGRP_229 Drosophila to elucidate the effects of KP elevation, KP suppression, and NAD+ supplementation on physical performance and survivorship. Flies were chronically fed kynurenines, KP inhibitors, NAD+ precursors, or a combination of KP inhibitors with NAD+ precursors. Flies with elevated kynurenines had reduced climbing speed, endurance, and life span. Treatment with a combination of KP inhibitors and NAD+ precursors preserved physical function and synergistically increased maximum life span. We conclude that KP flux can regulate health span and life span in Drosophila and that targeting KP and NAD+ metabolism can synergistically increase life span.
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Affiliation(s)
- Mariann M. Gabrawy
- School of Medicine, Division of Geriatric Medicine and Gerontology, Biology of Healthy Aging ProgramJohns Hopkins UniversityBaltimoreMarylandUSA
| | - Reyhan Westbrook
- School of Medicine, Division of Geriatric Medicine and Gerontology, Biology of Healthy Aging ProgramJohns Hopkins UniversityBaltimoreMarylandUSA
| | - Austin King
- School of Medicine, Division of Geriatric Medicine and Gerontology, Biology of Healthy Aging ProgramJohns Hopkins UniversityBaltimoreMarylandUSA
- Department of Biological SciencesUniversity of Maryland, Baltimore CountyBaltimoreMarylandUSA
| | - Nick Khosravian
- School of Medicine, Division of Geriatric Medicine and Gerontology, Biology of Healthy Aging ProgramJohns Hopkins UniversityBaltimoreMarylandUSA
- Department of Biological SciencesUniversity of Maryland, Baltimore CountyBaltimoreMarylandUSA
| | - Neeraj Ochaney
- School of Medicine, Division of Geriatric Medicine and Gerontology, Biology of Healthy Aging ProgramJohns Hopkins UniversityBaltimoreMarylandUSA
- Department of Biological SciencesUniversity of Maryland, Baltimore CountyBaltimoreMarylandUSA
| | - Tagide DeCarvalho
- Department of Biological SciencesUniversity of Maryland, Baltimore CountyBaltimoreMarylandUSA
| | - Qinchuan Wang
- School of Medicine, Division of Geriatric Medicine and Gerontology, Biology of Healthy Aging ProgramJohns Hopkins UniversityBaltimoreMarylandUSA
| | - Yuqiong Yu
- School of Medicine, Division of Geriatric Medicine and Gerontology, Biology of Healthy Aging ProgramJohns Hopkins UniversityBaltimoreMarylandUSA
| | - Qiao Huang
- School of Medicine, Division of Geriatric Medicine and Gerontology, Biology of Healthy Aging ProgramJohns Hopkins UniversityBaltimoreMarylandUSA
| | - Adam Said
- School of Medicine, Division of Geriatric Medicine and Gerontology, Biology of Healthy Aging ProgramJohns Hopkins UniversityBaltimoreMarylandUSA
- Emory UniversityAtlantaGeorgiaUSA
| | - Michael Abadir
- School of Medicine, Division of Geriatric Medicine and Gerontology, Biology of Healthy Aging ProgramJohns Hopkins UniversityBaltimoreMarylandUSA
- University of Maryland, College ParkCollege ParkMarylandUSA
| | | | | | - Jennifer E. Fairman
- Department of Arts as Applied to MedicineJohns Hopkins UniversityBaltimoreMarylandUSA
| | - Anne Le
- Gigantest Inc.BaltimoreMarylandUSA
| | - Ginger L. Milne
- Vanderbilt UniversityVanderbilt Brain Institute, Neurochemistry CoreNashvilleTennesseeUSA
| | - Fernando J. Vonhoff
- Department of Biological SciencesUniversity of Maryland, Baltimore CountyBaltimoreMarylandUSA
| | - Jeremy D. Walston
- School of Medicine, Division of Geriatric Medicine and Gerontology, Biology of Healthy Aging ProgramJohns Hopkins UniversityBaltimoreMarylandUSA
| | - Peter M. Abadir
- School of Medicine, Division of Geriatric Medicine and Gerontology, Biology of Healthy Aging ProgramJohns Hopkins UniversityBaltimoreMarylandUSA
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2
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Kiral FR, Dutta SB, Linneweber GA, Hilgert S, Poppa C, Duch C, von Kleist M, Hassan BA, Hiesinger PR. Brain connectivity inversely scales with developmental temperature in Drosophila. Cell Rep 2021; 37:110145. [PMID: 34936868 DOI: 10.1016/j.celrep.2021.110145] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2021] [Revised: 10/04/2021] [Accepted: 11/29/2021] [Indexed: 11/17/2022] Open
Abstract
Variability of synapse numbers and partners despite identical genes reveals the limits of genetic determinism. Here, we use developmental temperature as a non-genetic perturbation to study variability of brain wiring and behavior in Drosophila. Unexpectedly, slower development at lower temperatures increases axo-dendritic branching, synapse numbers, and non-canonical synaptic partnerships of various neurons, while maintaining robust ratios of canonical synapses. Using R7 photoreceptors as a model, we show that changing the relative availability of synaptic partners using a DIPγ mutant that ablates R7's preferred partner leads to temperature-dependent recruitment of non-canonical partners to reach normal synapse numbers. Hence, R7 synaptic specificity is not absolute but based on the relative availability of postsynaptic partners and presynaptic control of synapse numbers. Behaviorally, movement precision is temperature robust, while movement activity is optimized for the developmentally encountered temperature. These findings suggest genetically encoded relative and scalable synapse formation to develop functional, but not identical, brains and behaviors.
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Affiliation(s)
- Ferdi Ridvan Kiral
- Division of Neurobiology, Institute for Biology, Freie Universität Berlin, 14195 Berlin, Germany
| | - Suchetana B Dutta
- Division of Neurobiology, Institute for Biology, Freie Universität Berlin, 14195 Berlin, Germany
| | - Gerit Arne Linneweber
- Division of Neurobiology, Institute for Biology, Freie Universität Berlin, 14195 Berlin, Germany
| | - Selina Hilgert
- Institute of Developmental Biology and Neurobiology (iDN), Hanns-Dieter-Hüsch-Weg 15, 55128 Mainz, Germany
| | - Caroline Poppa
- Division of Neurobiology, Institute for Biology, Freie Universität Berlin, 14195 Berlin, Germany
| | - Carsten Duch
- Institute of Developmental Biology and Neurobiology (iDN), Hanns-Dieter-Hüsch-Weg 15, 55128 Mainz, Germany
| | - Max von Kleist
- MF1 Bioinformatics, Robert Koch-Institute, 13353 Berlin, Germany
| | - Bassem A Hassan
- Division of Neurobiology, Institute for Biology, Freie Universität Berlin, 14195 Berlin, Germany; Institut du Cerveau - Paris Brain Institute - ICM, Sorbonne Université, Inserm, CNRS, Hôpital Pitié-Salpêtrière, Paris, France
| | - P Robin Hiesinger
- Division of Neurobiology, Institute for Biology, Freie Universität Berlin, 14195 Berlin, Germany.
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3
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Kilo L, Stürner T, Tavosanis G, Ziegler AB. Drosophila Dendritic Arborisation Neurons: Fantastic Actin Dynamics and Where to Find Them. Cells 2021; 10:2777. [PMID: 34685757 PMCID: PMC8534399 DOI: 10.3390/cells10102777] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 10/12/2021] [Accepted: 10/12/2021] [Indexed: 01/27/2023] Open
Abstract
Neuronal dendrites receive, integrate, and process numerous inputs and therefore serve as the neuron's "antennae". Dendrites display extreme morphological diversity across different neuronal classes to match the neuron's specific functional requirements. Understanding how this structural diversity is specified is therefore important for shedding light on information processing in the healthy and diseased nervous system. Popular models for in vivo studies of dendrite differentiation are the four classes of dendritic arborization (c1da-c4da) neurons of Drosophila larvae with their class-specific dendritic morphologies. Using da neurons, a combination of live-cell imaging and computational approaches have delivered information on the distinct phases and the time course of dendrite development from embryonic stages to the fully developed dendritic tree. With these data, we can start approaching the basic logic behind differential dendrite development. A major role in the definition of neuron-type specific morphologies is played by dynamic actin-rich processes and the regulation of their properties. This review presents the differences in the growth programs leading to morphologically different dendritic trees, with a focus on the key role of actin modulatory proteins. In addition, we summarize requirements and technological progress towards the visualization and manipulation of such actin regulators in vivo.
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Affiliation(s)
- Lukas Kilo
- Dendrite Differentiation, German Center for Neurodegenerative Diseases, 53115 Bonn, Germany; (L.K.); (G.T.)
| | - Tomke Stürner
- Department of Zoology, University of Cambridge, Cambridge CB2 1TN, UK;
| | - Gaia Tavosanis
- Dendrite Differentiation, German Center for Neurodegenerative Diseases, 53115 Bonn, Germany; (L.K.); (G.T.)
- LIMES-Institute, University of Bonn, 53115 Bonn, Germany
| | - Anna B. Ziegler
- Institute of Neuro- and Behavioral Biology, University of Münster, 48149 Münster, Germany
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4
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Different functions of two putative Drosophila α 2δ subunits in the same identified motoneurons. Sci Rep 2020; 10:13670. [PMID: 32792569 PMCID: PMC7426832 DOI: 10.1038/s41598-020-69748-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2020] [Accepted: 07/15/2020] [Indexed: 11/24/2022] Open
Abstract
Voltage gated calcium channels (VGCCs) regulate neuronal excitability and translate activity into calcium dependent signaling. The α1 subunit of high voltage activated (HVA) VGCCs associates with α2δ accessory subunits, which may affect calcium channel biophysical properties, cell surface expression, localization and transport and are thus important players in calcium-dependent signaling. In vertebrates, the functions of the different combinations of the four α2δ and the seven HVA α1 subunits are incompletely understood, in particular with respect to partially redundant or separate functions in neurons. This study capitalizes on the relatively simpler situation in the Drosophila genetic model containing two neuronal putative α2δ subunits, straightjacket and CG4587, and one Cav1 and Cav2 homolog each, both with well-described functions in different compartments of identified motoneurons. Straightjacket is required for normal Cav1 and Cav2 current amplitudes and correct Cav2 channel function in all neuronal compartments. By contrast, CG4587 does not affect Cav1 or Cav2 current amplitudes or presynaptic function, but is required for correct Cav2 channel allocation to the axonal versus the dendritic domain. We suggest that the two different putative α2δ subunits are required in the same neurons to regulate different functions of VGCCs.
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5
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Hernandez E, MacNamee SE, Kaplan LR, Lance K, Garcia-Verdugo HD, Farhadi DS, Deer C, Lee SW, Oland LA. The astrocyte network in the ventral nerve cord neuropil of the Drosophila third-instar larva. J Comp Neurol 2020; 528:1683-1703. [PMID: 31909826 DOI: 10.1002/cne.24852] [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: 05/28/2019] [Revised: 12/19/2019] [Accepted: 12/20/2019] [Indexed: 11/10/2022]
Abstract
Understanding neuronal function at the local and circuit level requires understanding astrocyte function. We have provided a detailed analysis of astrocyte morphology and territory in the Drosophila third-instar ventral nerve cord where there already exists considerable understanding of the neuronal network. Astrocyte shape varies more than previously reported; many have bilaterally symmetrical partners, many have a high percentage of their arborization in adjacent segments, and many have branches that follow structural features. Taken together, our data are consistent with, but not fully explained by, a model of a developmental growth process dominated by competitive or repulsive interactions between astrocytes. Our data suggest that the model should also include cell-autonomous aspects, as well as the use of structural features for growth. Variation in location of arborization territory for identified astrocytes was great enough that a standardized scheme of neuropil division among the six astrocytes that populate each hemi-segment is not possible at the third instar. The arborizations of the astrocytes can extend across neuronal functional domains. The ventral astrocyte in particular, whose territory can extend well into the proprioceptive region of the neuropil, has no obvious branching pattern that correlates with domains of particular sensory modalities, suggesting that the astrocyte would respond to neuronal activity in any of the sensory modalities, perhaps integrating across them. This study sets the stage for future studies that will generate a robust, functionally oriented connectome that includes both partners in neuronal circuits-the neurons and the glial cells, providing the foundation necessary for studies to elucidate neuron-glia interactions in this neuropil.
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Key Words
- RRID:Abcam Cat# ab6953, RRID:AB_955010
- RRID:BDSC Cat# 30125, RRID:BDSC_30125
- RRID:BDSC Cat# 38760, RRID:BDSC_38760
- RRID:BDSC Cat# 4775, RRID:BDSC_4775
- RRID:BDSC Cat# 5692, RRID:BDSC_5692
- RRID:BDSC Cat# 64085, RRID:BDSC_64085
- RRID:BDSC Cat# 6938, RRID:BDSC_6938
- RRID:Bio-rad Cat # MCA1360, RRID:AB_322378
- RRID:Cell Signaling Technology Cat # 3724, RRID:AB_1549585
- RRID:DSHB Cat# 1D4, RRID:AB_528235
- RRID:DSHB Cat# nc82, RRID:AB_2314866
- RRID:Jackson ImmunoResearch Labs Cat# 115-167-003, RRID:AB_2338709
- RRID:Molecular Probes Cat# 6455, RRID:AB_2314543
- RRID:Molecular Probes Cat# A-21236, RRID:AB_141725
- RRID:Novus Cat # NBP1-06712, RRID:AB_1625981
- RRID:Thermo Fisher Scientific Cat# A-11034, RRID:AB_2576217.
- glial cells
- neuron-glia interaction
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Affiliation(s)
- Ernesto Hernandez
- Department of Neuroscience, University of Arizona, Tucson, Arizona.,University of Illinois at Chicago School of Medicine, Rockford, Illinois
| | - Sarah E MacNamee
- Department of Neuroscience, University of Arizona, Tucson, Arizona.,Inscopix, Palo Alto, California
| | - Leah R Kaplan
- Department of Neuroscience, University of Arizona, Tucson, Arizona.,Consortium for Science, Policy & Outcomes, Arizona State University, Washington, DC, Washington
| | - Kim Lance
- Department of Neuroscience, University of Arizona, Tucson, Arizona
| | | | - Dara S Farhadi
- Department of Neuroscience, University of Arizona, Tucson, Arizona.,College of Medicine-Phoenix, University of Arizona, Phoenix, Arizona
| | - Christine Deer
- Department of Neuroscience, University of Arizona, Tucson, Arizona.,Research Technologies Group, Data Visualization Team, University of Arizona, University Information Technology Service, Tucson, Arizona
| | - Si W Lee
- Department of Neuroscience, University of Arizona, Tucson, Arizona
| | - Lynne A Oland
- Department of Neuroscience, University of Arizona, Tucson, Arizona
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6
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Namiki S, Dickinson MH, Wong AM, Korff W, Card GM. The functional organization of descending sensory-motor pathways in Drosophila. eLife 2018; 7:e34272. [PMID: 29943730 PMCID: PMC6019073 DOI: 10.7554/elife.34272] [Citation(s) in RCA: 185] [Impact Index Per Article: 26.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2017] [Accepted: 05/09/2018] [Indexed: 12/12/2022] Open
Abstract
In most animals, the brain controls the body via a set of descending neurons (DNs) that traverse the neck. DN activity activates, maintains or modulates locomotion and other behaviors. Individual DNs have been well-studied in species from insects to primates, but little is known about overall connectivity patterns across the DN population. We systematically investigated DN anatomy in Drosophila melanogaster and created over 100 transgenic lines targeting individual cell types. We identified roughly half of all Drosophila DNs and comprehensively map connectivity between sensory and motor neuropils in the brain and nerve cord, respectively. We find the nerve cord is a layered system of neuropils reflecting the fly's capability for two largely independent means of locomotion -- walking and flight -- using distinct sets of appendages. Our results reveal the basic functional map of descending pathways in flies and provide tools for systematic interrogation of neural circuits.
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Affiliation(s)
- Shigehiro Namiki
- Janelia Research Campus, Howard Hughes Medical InstituteAshburnUnited States
| | - Michael H Dickinson
- Division of Biology and BioengineeringCalifornia Institute of TechnologyPasadenaUnited States
| | - Allan M Wong
- Janelia Research Campus, Howard Hughes Medical InstituteAshburnUnited States
| | - Wyatt Korff
- Janelia Research Campus, Howard Hughes Medical InstituteAshburnUnited States
| | - Gwyneth M Card
- Janelia Research Campus, Howard Hughes Medical InstituteAshburnUnited States
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7
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Ryglewski S, Vonhoff F, Scheckel K, Duch C. Intra-neuronal Competition for Synaptic Partners Conserves the Amount of Dendritic Building Material. Neuron 2017; 93:632-645.e6. [PMID: 28132832 DOI: 10.1016/j.neuron.2016.12.043] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2016] [Revised: 11/11/2016] [Accepted: 12/28/2016] [Indexed: 01/02/2023]
Abstract
Brain development requires correct targeting of multiple thousand synaptic terminals onto staggeringly complex dendritic arbors. The mechanisms by which input synapse numbers are matched to dendrite size, and by which synaptic inputs from different transmitter systems are correctly partitioned onto a postsynaptic arbor, are incompletely understood. By combining quantitative neuroanatomy with targeted genetic manipulation of synaptic input to an identified Drosophila neuron, we show that synaptic inputs of two different transmitter classes locally direct dendrite growth in a competitive manner. During development, the relative amounts of GABAergic and cholinergic synaptic drive shift dendrites between different input domains of one postsynaptic neuron without affecting total arbor size. Therefore, synaptic input locally directs dendrite growth, but intra-neuronal dendrite redistributions limit morphological variability, a phenomenon also described for cortical neurons. Mechanistically, this requires local dendritic Ca2+ influx through Dα7nAChRs or through LVA channels following GABAAR-mediated depolarizations. VIDEO ABSTRACT.
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Affiliation(s)
- Stefanie Ryglewski
- Institute of Neurobiology, Johannes Gutenberg University Mainz, 55099 Mainz, Germany
| | - Fernando Vonhoff
- Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, CT 06520, USA
| | - Kathryn Scheckel
- School of Life Sciences, Arizona State University, Tempe, AZ 85287, USA
| | - Carsten Duch
- Institute of Neurobiology, Johannes Gutenberg University Mainz, 55099 Mainz, Germany.
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8
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Williams AA, Mehler VJ, Mueller C, Vonhoff F, White R, Duch C. Apoptotic Activity of MeCP2 Is Enhanced by C-Terminal Truncating Mutations. PLoS One 2016; 11:e0159632. [PMID: 27442528 PMCID: PMC4956225 DOI: 10.1371/journal.pone.0159632] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2016] [Accepted: 07/05/2016] [Indexed: 11/22/2022] Open
Abstract
Methyl-CpG binding protein 2 (MeCP2) is a widely abundant, multifunctional protein most highly expressed in post-mitotic neurons. Mutations causing Rett syndrome and related neurodevelopmental disorders have been identified along the entire MECP2 locus, but symptoms vary depending on mutation type and location. C-terminal mutations are prevalent, but little is known about the function of the MeCP2 C-terminus. We employ the genetic efficiency of Drosophila to provide evidence that expression of p.Arg294* (more commonly identified as R294X), a human MECP2 E2 mutant allele causing truncation of the C-terminal domains, promotes apoptosis of identified neurons in vivo. We confirm this novel finding in HEK293T cells and then use Drosophila to map the region critical for neuronal apoptosis to a small sequence at the end of the C-terminal domain. In vitro studies in mammalian systems previously indicated a role of the MeCP2 E2 isoform in apoptosis, which is facilitated by phosphorylation at serine 80 (S80) and decreased by interactions with the forkhead protein FoxG1. We confirm the roles of S80 phosphorylation and forkhead domain transcription factors in affecting MeCP2-induced apoptosis in Drosophila in vivo, thus indicating mechanistic conservation between flies and mammalian cells. Our findings are consistent with a model in which C- and N-terminal interactions are required for healthy function of MeCP2.
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Affiliation(s)
- Alison A. Williams
- School of Life Sciences, Arizona State University, Tempe, Arizona, United States of America
- Institute of Zoology- Neurobiology, Johannes Gutenberg University Mainz, Mainz, Germany
| | - Vera J. Mehler
- Institute of Zoology- Neurobiology, Johannes Gutenberg University Mainz, Mainz, Germany
| | | | - Fernando Vonhoff
- Molecular, Cellular, and Developmental Biology Department, Yale University, New Haven, Connecticut, United States of America
| | - Robin White
- Institute of Physiology, University Medical Center, Mainz, Germany
| | - Carsten Duch
- Institute of Zoology- Neurobiology, Johannes Gutenberg University Mainz, Mainz, Germany
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9
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Williams AA, White R, Siniard A, Corneveaux J, Huentelman M, Duch C. MECP2 impairs neuronal structure by regulating KIBRA. Neurobiol Dis 2016; 91:284-91. [PMID: 27015692 DOI: 10.1016/j.nbd.2016.03.019] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2015] [Revised: 03/12/2016] [Accepted: 03/17/2016] [Indexed: 11/17/2022] Open
Abstract
Using a Drosophila model of MECP2 gain-of-function, we identified memory associated KIBRA as a target of MECP2 in regulating dendritic growth. We found that expression of human MECP2 increased kibra expression in Drosophila, and targeted RNAi knockdown of kibra in identified neurons fully rescued dendritic defects as induced by MECP2 gain-of-function. Validation in mouse confirmed that Kibra is similarly regulated by Mecp2 in a mammalian system. We found that Mecp2 gain-of-function in cultured mouse cortical neurons caused dendritic impairments and increased Kibra levels. Accordingly, Mecp2 loss-of-function in vivo led to decreased Kibra levels in hippocampus, cortex, and cerebellum. Together, our results functionally link two neuronal genes of high interest in human health and disease and highlight the translational utility of the Drosophila model for understanding MECP2 function.
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Affiliation(s)
- Alison A Williams
- School of Life Sciences, Arizona State University, Tempe, AZ 85287, USA; Institute of Zoology- Neurobiology, Johannes Gutenberg University Mainz, 55128, Germany.
| | - Robin White
- Institute of Physiology, University Medical Center, Mainz 55128, Germany
| | - Ashley Siniard
- Neurogenomics Division, Translational Genomics Research Institute, Phoenix, AZ 85004, USA
| | - Jason Corneveaux
- Neurogenomics Division, Translational Genomics Research Institute, Phoenix, AZ 85004, USA
| | - Matt Huentelman
- Neurogenomics Division, Translational Genomics Research Institute, Phoenix, AZ 85004, USA
| | - Carsten Duch
- Institute of Zoology- Neurobiology, Johannes Gutenberg University Mainz, 55128, Germany
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10
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Berger SD, Crook SM. Modeling the Influence of Ion Channels on Neuron Dynamics in Drosophila. Front Comput Neurosci 2015; 9:139. [PMID: 26635592 PMCID: PMC4649037 DOI: 10.3389/fncom.2015.00139] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2015] [Accepted: 10/28/2015] [Indexed: 11/24/2022] Open
Abstract
Voltage gated ion channels play a major role in determining a neuron's firing behavior, resulting in the specific processing of synaptic input patterns. Drosophila and other invertebrates provide valuable model systems for investigating ion channel kinetics and their impact on firing properties. Despite the increasing importance of Drosophila as a model system, few computational models of its ion channel kinetics have been developed. In this study, experimentally observed biophysical properties of voltage gated ion channels from the fruitfly Drosophila melanogaster are used to develop a minimal, conductance based neuron model. We investigate the impact of the densities of these channels on the excitability of the model neuron. Changing the channel densities reproduces different in situ observed firing patterns and induces a switch from integrator to resonator properties. Further, we analyze the preference to input frequency and how it depends on the channel densities and the resulting bifurcation type the system undergoes. An extension to a three dimensional model demonstrates that the inactivation kinetics of the sodium channels play an important role, allowing for firing patterns with a delayed first spike and subsequent high frequency firing as often observed in invertebrates, without altering the kinetics of the delayed rectifier current.
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Affiliation(s)
- Sandra D Berger
- School of Life Sciences, Arizona State University Tempe, AZ, USA
| | - Sharon M Crook
- School of Life Sciences, Arizona State University Tempe, AZ, USA ; School of Mathematical and Statistical Sciences, Arizona State University Tempe, AZ, USA
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11
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Mishra-Gorur K, Çağlayan AO, Schaffer AE, Chabu C, Henegariu O, Vonhoff F, Akgümüş GT, Nishimura S, Han W, Tu S, Baran B, Gümüş H, Dilber C, Zaki MS, Hossni HAA, Rivière JB, Kayserili H, Spencer EG, Rosti RÖ, Schroth J, Per H, Çağlar C, Çağlar Ç, Dölen D, Baranoski JF, Kumandaş S, Minja FJ, Erson-Omay EZ, Mane SM, Lifton RP, Xu T, Keshishian H, Dobyns WB, Chi NC, Šestan N, Louvi A, Bilgüvar K, Yasuno K, Gleeson JG, Günel M. Mutations in KATNB1 cause complex cerebral malformations by disrupting asymmetrically dividing neural progenitors. Neuron 2014; 84:1226-39. [PMID: 25521378 PMCID: PMC5024344 DOI: 10.1016/j.neuron.2014.12.014] [Citation(s) in RCA: 80] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/03/2014] [Indexed: 01/02/2023]
Abstract
Exome sequencing analysis of over 2,000 children with complex malformations of cortical development identified five independent (four homozygous and one compound heterozygous) deleterious mutations in KATNB1, encoding the regulatory subunit of the microtubule-severing enzyme Katanin. Mitotic spindle formation is defective in patient-derived fibroblasts, a consequence of disrupted interactions of mutant KATNB1 with KATNA1, the catalytic subunit of Katanin, and other microtubule-associated proteins. Loss of KATNB1 orthologs in zebrafish (katnb1) and flies (kat80) results in microcephaly, recapitulating the human phenotype. In the developing Drosophila optic lobe, kat80 loss specifically affects the asymmetrically dividing neuroblasts, which display supernumerary centrosomes and spindle abnormalities during mitosis, leading to cell cycle progression delays and reduced cell numbers. Furthermore, kat80 depletion results in dendritic arborization defects in sensory and motor neurons, affecting neural architecture. Taken together, we provide insight into the mechanisms by which KATNB1 mutations cause human cerebral cortical malformations, demonstrating its fundamental role during brain development.
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Affiliation(s)
- Ketu Mishra-Gorur
- Department of Neurosurgery, Yale School of Medicine, New Haven, CT 06510, USA; Department of Genetics, Yale School of Medicine, New Haven, CT 06510, USA; Department of Neurobiology, Yale School of Medicine, New Haven, CT 06510, USA; Yale Program on Neurogenetics, Yale School of Medicine, New Haven, CT 06510, USA
| | - Ahmet Okay Çağlayan
- Department of Neurosurgery, Yale School of Medicine, New Haven, CT 06510, USA; Department of Genetics, Yale School of Medicine, New Haven, CT 06510, USA; Department of Neurobiology, Yale School of Medicine, New Haven, CT 06510, USA; Yale Program on Neurogenetics, Yale School of Medicine, New Haven, CT 06510, USA
| | - Ashleigh E Schaffer
- Neurogenetics Laboratory, Department of Neurosciences, Howard Hughes Medical Institute, University of California, San Diego, La Jolla, CA 92093, USA
| | - Chiswili Chabu
- Department of Genetics, Yale School of Medicine, New Haven, CT 06510, USA; Howard Hughes Medical Institute, Yale School of Medicine, New Haven, CT 06510, USA
| | - Octavian Henegariu
- Department of Neurosurgery, Yale School of Medicine, New Haven, CT 06510, USA; Department of Genetics, Yale School of Medicine, New Haven, CT 06510, USA; Department of Neurobiology, Yale School of Medicine, New Haven, CT 06510, USA; Yale Program on Neurogenetics, Yale School of Medicine, New Haven, CT 06510, USA
| | - Fernando Vonhoff
- Department of Molecular, Cellular and Developmental Biology, Yale University, New Haven, CT 06511, USA
| | - Gözde Tuğce Akgümüş
- Department of Neurosurgery, Yale School of Medicine, New Haven, CT 06510, USA; Department of Genetics, Yale School of Medicine, New Haven, CT 06510, USA; Department of Neurobiology, Yale School of Medicine, New Haven, CT 06510, USA; Yale Program on Neurogenetics, Yale School of Medicine, New Haven, CT 06510, USA
| | - Sayoko Nishimura
- Department of Neurosurgery, Yale School of Medicine, New Haven, CT 06510, USA; Yale Program on Neurogenetics, Yale School of Medicine, New Haven, CT 06510, USA
| | - Wenqi Han
- Department of Neurobiology, Yale School of Medicine, New Haven, CT 06510, USA; Kavli Institute for Neuroscience, Yale School of Medicine, New Haven, CT 06510, USA
| | - Shu Tu
- Department of Medicine, University of California, San Diego, La Jolla, CA 92093, USA
| | - Burçin Baran
- Department of Neurosurgery, Yale School of Medicine, New Haven, CT 06510, USA; Department of Genetics, Yale School of Medicine, New Haven, CT 06510, USA; Department of Neurobiology, Yale School of Medicine, New Haven, CT 06510, USA; Yale Program on Neurogenetics, Yale School of Medicine, New Haven, CT 06510, USA
| | - Hakan Gümüş
- Division of Pediatric Neurology, Department of Pediatrics, Erciyes University Medical Faculty, Kayseri 38039, Turkey
| | - Cengiz Dilber
- Division of Pediatric Neurology, Department of Pediatrics, Sütcü Imam University Medical Faculty, Kahramanmaraş 46100, Turkey
| | - Maha S Zaki
- Clinical Genetics Department, Human Genetics and Genome Research Division, National Research Center, Cairo 12311, Egypt
| | - Heba A A Hossni
- Department of Neurology, National Institute of Neuromotor System, Cairo 12311, Egypt
| | - Jean-Baptiste Rivière
- Equipe Génétique des Anomalies du Développement, EA 4271, Université de Bourgogne, 21078 Dijon, France
| | - Hülya Kayserili
- Department of Medical Genetics, Istanbul Medical Faculty, Istanbul University, Istanbul 34093, Turkey
| | - Emily G Spencer
- Neurogenetics Laboratory, Department of Neurosciences, Howard Hughes Medical Institute, University of California, San Diego, La Jolla, CA 92093, USA
| | - Rasim Ö Rosti
- Neurogenetics Laboratory, Department of Neurosciences, Howard Hughes Medical Institute, University of California, San Diego, La Jolla, CA 92093, USA
| | - Jana Schroth
- Neurogenetics Laboratory, Department of Neurosciences, Howard Hughes Medical Institute, University of California, San Diego, La Jolla, CA 92093, USA
| | - Hüseyin Per
- Division of Pediatric Neurology, Department of Pediatrics, Erciyes University Medical Faculty, Kayseri 38039, Turkey
| | - Caner Çağlar
- Department of Neurosurgery, Yale School of Medicine, New Haven, CT 06510, USA; Department of Genetics, Yale School of Medicine, New Haven, CT 06510, USA; Department of Neurobiology, Yale School of Medicine, New Haven, CT 06510, USA; Yale Program on Neurogenetics, Yale School of Medicine, New Haven, CT 06510, USA
| | - Çağri Çağlar
- Department of Neurosurgery, Yale School of Medicine, New Haven, CT 06510, USA; Department of Genetics, Yale School of Medicine, New Haven, CT 06510, USA; Department of Neurobiology, Yale School of Medicine, New Haven, CT 06510, USA; Yale Program on Neurogenetics, Yale School of Medicine, New Haven, CT 06510, USA
| | - Duygu Dölen
- Department of Neurosurgery, Yale School of Medicine, New Haven, CT 06510, USA; Department of Genetics, Yale School of Medicine, New Haven, CT 06510, USA; Department of Neurobiology, Yale School of Medicine, New Haven, CT 06510, USA; Yale Program on Neurogenetics, Yale School of Medicine, New Haven, CT 06510, USA
| | - Jacob F Baranoski
- Department of Neurosurgery, Yale School of Medicine, New Haven, CT 06510, USA; Department of Genetics, Yale School of Medicine, New Haven, CT 06510, USA; Department of Neurobiology, Yale School of Medicine, New Haven, CT 06510, USA; Yale Program on Neurogenetics, Yale School of Medicine, New Haven, CT 06510, USA
| | - Sefer Kumandaş
- Division of Pediatric Neurology, Department of Pediatrics, Erciyes University Medical Faculty, Kayseri 38039, Turkey
| | - Frank J Minja
- Department of Radiology, Yale School of Medicine, New Haven, CT 06510, USA
| | - E Zeynep Erson-Omay
- Department of Neurosurgery, Yale School of Medicine, New Haven, CT 06510, USA; Department of Genetics, Yale School of Medicine, New Haven, CT 06510, USA; Department of Neurobiology, Yale School of Medicine, New Haven, CT 06510, USA; Yale Program on Neurogenetics, Yale School of Medicine, New Haven, CT 06510, USA
| | - Shrikant M Mane
- Department of Genetics, Yale School of Medicine, New Haven, CT 06510, USA; Yale Center for Genome Analysis, Yale School of Medicine, New Haven, CT 06510, USA
| | - Richard P Lifton
- Department of Genetics, Yale School of Medicine, New Haven, CT 06510, USA; Howard Hughes Medical Institute, Yale School of Medicine, New Haven, CT 06510, USA
| | - Tian Xu
- Department of Genetics, Yale School of Medicine, New Haven, CT 06510, USA; Howard Hughes Medical Institute, Yale School of Medicine, New Haven, CT 06510, USA
| | - Haig Keshishian
- Department of Molecular, Cellular and Developmental Biology, Yale University, New Haven, CT 06511, USA
| | - William B Dobyns
- Departments of Pediatrics and Neurology, University of Washington and Center for Integrative Brain Research, Seattle Children's Research Institute, Seattle, Washington 98105, USA
| | - Neil C Chi
- Department of Medicine, University of California, San Diego, La Jolla, CA 92093, USA
| | - Nenad Šestan
- Department of Neurobiology, Yale School of Medicine, New Haven, CT 06510, USA; Yale Program on Neurogenetics, Yale School of Medicine, New Haven, CT 06510, USA; Kavli Institute for Neuroscience, Yale School of Medicine, New Haven, CT 06510, USA
| | - Angeliki Louvi
- Department of Neurosurgery, Yale School of Medicine, New Haven, CT 06510, USA; Department of Neurobiology, Yale School of Medicine, New Haven, CT 06510, USA; Yale Program on Neurogenetics, Yale School of Medicine, New Haven, CT 06510, USA
| | - Kaya Bilgüvar
- Department of Genetics, Yale School of Medicine, New Haven, CT 06510, USA; Yale Center for Genome Analysis, Yale School of Medicine, New Haven, CT 06510, USA
| | - Katsuhito Yasuno
- Department of Neurosurgery, Yale School of Medicine, New Haven, CT 06510, USA; Department of Genetics, Yale School of Medicine, New Haven, CT 06510, USA; Department of Neurobiology, Yale School of Medicine, New Haven, CT 06510, USA; Yale Program on Neurogenetics, Yale School of Medicine, New Haven, CT 06510, USA
| | - Joseph G Gleeson
- Neurogenetics Laboratory, Department of Neurosciences, Howard Hughes Medical Institute, University of California, San Diego, La Jolla, CA 92093, USA.
| | - Murat Günel
- Department of Neurosurgery, Yale School of Medicine, New Haven, CT 06510, USA; Department of Genetics, Yale School of Medicine, New Haven, CT 06510, USA; Department of Neurobiology, Yale School of Medicine, New Haven, CT 06510, USA; Yale Program on Neurogenetics, Yale School of Medicine, New Haven, CT 06510, USA.
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12
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Ryglewski S, Kadas D, Hutchinson K, Schuetzler N, Vonhoff F, Duch C. Dendrites are dispensable for basic motoneuron function but essential for fine tuning of behavior. Proc Natl Acad Sci U S A 2014; 111:18049-54. [PMID: 25453076 PMCID: PMC4273390 DOI: 10.1073/pnas.1416247111] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Dendrites are highly complex 3D structures that define neuronal morphology and connectivity and are the predominant sites for synaptic input. Defects in dendritic structure are highly consistent correlates of brain diseases. However, the precise consequences of dendritic structure defects for neuronal function and behavioral performance remain unknown. Here we probe dendritic function by using genetic tools to selectively abolish dendrites in identified Drosophila wing motoneurons without affecting other neuronal properties. We find that these motoneuron dendrites are unexpectedly dispensable for synaptic targeting, qualitatively normal neuronal activity patterns during behavior, and basic behavioral performance. However, significant performance deficits in sophisticated motor behaviors, such as flight altitude control and switching between discrete courtship song elements, scale with the degree of dendritic defect. To our knowledge, our observations provide the first direct evidence that complex dendrite architecture is critically required for fine-tuning and adaptability within robust, evolutionarily constrained behavioral programs that are vital for mating success and survival. We speculate that the observed scaling of performance deficits with the degree of structural defect is consistent with gradual increases in intellectual disability during continuously advancing structural deficiencies in progressive neurological disorders.
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Affiliation(s)
- Stefanie Ryglewski
- Institute of Neurobiology, Johannes Gutenberg University of Mainz, 55099 Mainz, Germany
| | - Dimitrios Kadas
- Institute of Neurobiology, Johannes Gutenberg University of Mainz, 55099 Mainz, Germany
| | - Katie Hutchinson
- Institute of Neurobiology, Johannes Gutenberg University of Mainz, 55099 Mainz, Germany
| | - Natalie Schuetzler
- Institute of Neurobiology, Johannes Gutenberg University of Mainz, 55099 Mainz, Germany
| | - Fernando Vonhoff
- Institute of Neurobiology, Johannes Gutenberg University of Mainz, 55099 Mainz, Germany
| | - Carsten Duch
- Institute of Neurobiology, Johannes Gutenberg University of Mainz, 55099 Mainz, Germany
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13
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Alford ST, Alpert MH. A synaptic mechanism for network synchrony. Front Cell Neurosci 2014; 8:290. [PMID: 25278839 PMCID: PMC4166887 DOI: 10.3389/fncel.2014.00290] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2014] [Accepted: 08/31/2014] [Indexed: 01/06/2023] Open
Abstract
Within neural networks, synchronization of activity is dependent upon the synaptic connectivity of embedded microcircuits and the intrinsic membrane properties of their constituent neurons. Synaptic integration, dendritic Ca2+ signaling, and non-linear interactions are crucial cellular attributes that dictate single neuron computation, but their roles promoting synchrony and the generation of network oscillations are not well understood, especially within the context of a defined behavior. In this regard, the lamprey spinal central pattern generator (CPG) stands out as a well-characterized, conserved vertebrate model of a neural network (Smith et al., 2013a), which produces synchronized oscillations in which neural elements from the systems to cellular level that control rhythmic locomotion have been determined. We review the current evidence for the synaptic basis of oscillation generation with a particular emphasis on the linkage between synaptic communication and its cellular coupling to membrane processes that control oscillatory behavior of neurons within the locomotor network. We seek to relate dendritic function found in many vertebrate systems to the accessible lamprey central nervous system in which the relationship between neural network activity and behavior is well understood. This enables us to address how Ca2+ signaling in spinal neuron dendrites orchestrate oscillations that drive network behavior.
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Affiliation(s)
- Simon T Alford
- Department of Biological Sciences, University of Illinois at Chicago Chicago, IL, USA
| | - Michael H Alpert
- Department of Biological Sciences, University of Illinois at Chicago Chicago, IL, USA
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14
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Singhania A, Grueber WB. Development of the embryonic and larval peripheral nervous system of Drosophila. WILEY INTERDISCIPLINARY REVIEWS-DEVELOPMENTAL BIOLOGY 2014; 3:193-210. [PMID: 24896657 DOI: 10.1002/wdev.135] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2013] [Revised: 02/19/2014] [Accepted: 03/05/2014] [Indexed: 01/01/2023]
Abstract
The peripheral nervous system (PNS) of embryonic and larval stage Drosophila consists of diverse types of sensory neurons positioned along the body wall. Sensory neurons, and associated end organs, show highly stereotyped locations and morphologies. Many powerful genetic tools for gene manipulation available in Drosophila make the PNS an advantageous system for elucidating basic principles of neural development. Studies of the Drosophila PNS have provided key insights into molecular mechanisms of cell fate specification, asymmetric cell division, and dendritic morphogenesis. A canonical lineage gives rise to sensory neurons and associated organs, and cells within this lineage are diversified through asymmetric cell divisions. Newly specified sensory neurons develop specific dendritic patterns, which are controlled by numerous factors including transcriptional regulators, interactions with neighboring neurons, and intracellular trafficking systems. In addition, sensory axons show modality specific terminations in the central nervous system, which are patterned by secreted ligands and their receptors expressed by sensory axons. Modality-specific axon projections are critical for coordinated larval behaviors. We review the molecular basis for PNS development and address some of the instances in which the mechanisms and molecules identified are conserved in vertebrate development.
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Affiliation(s)
- Aditi Singhania
- Department of Genetics and Development, Columbia University Medical Center, New York, NY, USA
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15
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Dscam1 is required for normal dendrite growth and branching but not for dendritic spacing in Drosophila motoneurons. J Neurosci 2014; 34:1924-31. [PMID: 24478371 DOI: 10.1523/jneurosci.3448-13.2014] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023] Open
Abstract
Down syndrome cell adhesion molecule, Dscam, serves diverse neurodevelopmental functions, including axon guidance and synaptic adhesion, as well as self-recognition and self-avoidance, depending on the neuron type, brain region, or species under investigation. In Drosophila, the extensive molecular diversity that results from alternative splicing of Dscam1 into >38,000 isoforms provides neurons with a unique molecular code for self-recognition in the nervous system. Each neuron produces only a small subset of Dscam1 isoforms, and distinct Dscam1 isoforms mediate homophilic interactions, which in turn, result in repulsion and even spacing of self-processes, while allowing contact with neighboring cells. While these mechanisms have been shown to underlie mushroom body development and spacing of mechanosensory neuron dendrites, here we report that Dscam1 plays no role in adult Drosophila motoneuron dendrite spacing, but is required for motoneuron dendritic growth. Targeted expression of Dscam-RNAi in an identified flight motoneuron did not impact dendrite spacing, but instead produced overgrowth. Increasing the knockdown strength severely reduced dendritic growth and branching. Similarly, Dscam mutant motoneurons in an otherwise control background (MARCM) were completely devoid of mature dendrites. These data suggest that Dscam1 is required cell autonomously for normal adult motoneuron dendrite growth in Drosophila. This demonstrates a previously unreported role of Drosophila Dscam1 in central neuron development, and expands the current understanding that Dscam1 operates as a cell adhesion molecule that mediates homophilic repulsion.
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16
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Ryglewski S, Kilo L, Duch C. Sequential acquisition of cacophony calcium currents, sodium channels and voltage-dependent potassium currents affects spike shape and dendrite growth during postembryonic maturation of an identified Drosophila motoneuron. Eur J Neurosci 2014; 39:1572-85. [PMID: 24620836 DOI: 10.1111/ejn.12517] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2013] [Revised: 01/16/2014] [Accepted: 01/20/2014] [Indexed: 11/28/2022]
Abstract
During metamorphosis the CNS undergoes profound changes to accommodate the switch from larval to adult behaviors. In Drosophila and other holometabolous insects, adult neurons differentiate either from respecified larval neurons, newly born neurons, or are born embryonically but remain developmentally arrested until differentiation during pupal life. This study addresses the latter in the identified Drosophila flight motoneuron 5. In situ patch-clamp recordings, intracellular dye fills and immunocytochemistry address the interplay between dendritic shape, excitability and ionic current development. During pupal life, changes in excitability and spike shape correspond to a stereotyped, progressive appearance of voltage-gated ion channels. High-voltage-activated calcium current is the first current to appear at pupal stage P4, prior to the onset of dendrite growth. This is followed by voltage-gated sodium as well as transient potassium channel expression, when first dendrites grow, and sodium-dependent action potentials can be evoked by somatic current injection. Sustained potassium current appears later than transient potassium current. During the early stages of rapid dendritic growth, sodium-dependent action potentials are broadened by a calcium component. Narrowing of spike shape coincides with sequential increases in transient and sustained potassium currents during stages when dendritic growth ceases. Targeted RNAi knockdown of pupal calcium current significantly reduces dendritic growth. These data indicate that the stereotyped sequential acquisition of different voltage-gated ion channels affects spike shape and excitability such that activity-dependent calcium influx serves as a partner of genetic programs during critical stages of motoneuron dendrite growth.
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Affiliation(s)
- Stefanie Ryglewski
- Institute of Zoology III - Neurobiology, University of Mainz, D-55128, Mainz, Germany
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17
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Sinakevitch IT, Smith AN, Locatelli F, Huerta R, Bazhenov M, Smith BH. Apis mellifera octopamine receptor 1 (AmOA1) expression in antennal lobe networks of the honey bee (Apis mellifera) and fruit fly (Drosophila melanogaster). Front Syst Neurosci 2013; 7:70. [PMID: 24187534 PMCID: PMC3807565 DOI: 10.3389/fnsys.2013.00070] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2013] [Accepted: 10/07/2013] [Indexed: 12/01/2022] Open
Abstract
Octopamine (OA) underlies reinforcement during appetitive conditioning in the honey bee and fruit fly, acting via different subtypes of receptors. Recently, antibodies raised against a peptide sequence of one honey bee OA receptor, AmOA1, were used to study the distribution of these receptors in the honey bee brain (Sinakevitch et al., 2011). These antibodies also recognize an isoform of the AmOA1 ortholog in the fruit fly (OAMB, mushroom body OA receptor). Here we describe in detail the distribution of AmOA1 receptors in different types of neurons in the honey bee and fruit fly antennal lobes. We integrate this information into a detailed anatomical analysis of olfactory receptor neurons (ORNs), uni- and multi-glomerular projection neurons (uPNs, and mPNs) and local interneurons (LNs) in glomeruli of the antennal lobe. These neurons were revealed by dye injection into the antennal nerve, antennal lobe, medial and lateral antenno-protocerbral tracts (m-APT and l-APT), and lateral protocerebral lobe (LPL) by use of labeled cell lines in the fruit fly or by staining with anti-GABA. We found that ORN receptor terminals and uPNs largely do not show immunostaining for AmOA1. About seventeen GABAergic mPNs leave the antennal lobe through the ml-APT and branch into the LPL. Many, but not all, mPNs show staining for AmOA1. AmOA1 receptors are also in glomeruli on GABAergic processes associated with LNs. The data suggest that in both species one important action of OA in the antennal lobe involves modulation of different types of inhibitory neurons via AmOA1 receptors. We integrated this new information into a model of circuitry within glomeruli of the antennal lobes of these species.
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18
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The Drosophila transcription factor Adf-1 (nalyot) regulates dendrite growth by controlling FasII and Staufen expression downstream of CaMKII and neural activity. J Neurosci 2013; 33:11916-31. [PMID: 23864680 DOI: 10.1523/jneurosci.1760-13.2013] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Memory deficits in Drosophila nalyot mutants suggest that the Myb family transcription factor Adf-1 is an important regulator of developmental plasticity in the brain. However, the cellular functions for this transcription factor in neurons or molecular mechanisms by which it regulates plasticity remain unknown. Here, we use in vivo 3D reconstruction of identifiable larval motor neuron dendrites to show that Adf-1 is required cell autonomously for dendritic development and activity-dependent plasticity of motor neurons downstream of CaMKII. Adf-1 inhibition reduces dendrite growth and neuronal excitability, and results in motor deficits and altered transcriptional profiles. Surprisingly, analysis by comparative chromatin immunoprecipitation followed by sequencing (ChIP-Seq) of Adf-1, RNA Polymerase II (Pol II), and histone modifications in Kc cells shows that Adf-1 binding correlates positively with high Pol II-pausing indices and negatively with active chromatin marks such as H3K4me3 and H3K27ac. Consistently, the expression of Adf-1 targets Staufen and Fasciclin II (FasII), identified through larval brain ChIP-Seq for Adf-1, is negatively regulated by Adf-1, and manipulations of these genes predictably modify dendrite growth. Our results imply mechanistic interactions between transcriptional and local translational machinery in neurons as well as conserved neuronal growth mechanisms mediated by cell adhesion molecules, and suggest that CaMKII, Adf-1, FasII, and Staufen influence crucial aspects of dendrite development and plasticity with potential implications for memory formation. Further, our experiments reveal molecular details underlying transcriptional regulation by Adf-1, and indicate active interaction between Adf-1 and epigenetic regulators of gene expression during activity-dependent neuronal plasticity.
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19
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Berger SD, Baer SM, Crook SM. A continuum approach to model neurites/dendrites with emerging subtrees. BMC Neurosci 2013. [PMCID: PMC3704740 DOI: 10.1186/1471-2202-14-s1-p73] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
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20
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Vonhoff F, Kuehn C, Blumenstock S, Sanyal S, Duch C. Temporal coherency between receptor expression, neural activity and AP-1-dependent transcription regulates Drosophila motoneuron dendrite development. Development 2013; 140:606-16. [PMID: 23293292 DOI: 10.1242/dev.089235] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Neural activity has profound effects on the development of dendritic structure. Mechanisms that link neural activity to nuclear gene expression include activity-regulated factors, such as CREB, Crest or Mef2, as well as activity-regulated immediate-early genes, such as fos and jun. This study investigates the role of the transcriptional regulator AP-1, a Fos-Jun heterodimer, in activity-dependent dendritic structure development. We combine genetic manipulation, imaging and quantitative dendritic architecture analysis in a Drosophila single neuron model, the individually identified motoneuron MN5. First, Dα7 nicotinic acetylcholine receptors (nAChRs) and AP-1 are required for normal MN5 dendritic growth. Second, AP-1 functions downstream of activity during MN5 dendritic growth. Third, using a newly engineered AP-1 reporter we demonstrate that AP-1 transcriptional activity is downstream of Dα7 nAChRs and Calcium/calmodulin-dependent protein kinase II (CaMKII) signaling. Fourth, AP-1 can have opposite effects on dendritic development, depending on the timing of activation. Enhancing excitability or AP-1 activity after MN5 cholinergic synapses and primary dendrites have formed causes dendritic branching, whereas premature AP-1 expression or induced activity prior to excitatory synapse formation disrupts dendritic growth. Finally, AP-1 transcriptional activity and dendritic growth are affected by MN5 firing only during development but not in the adult. Our results highlight the importance of timing in the growth and plasticity of neuronal dendrites by defining a developmental period of activity-dependent AP-1 induction that is temporally locked to cholinergic synapse formation and dendritic refinement, thus significantly refining prior models derived from chronic expression studies.
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Affiliation(s)
- Fernando Vonhoff
- School of Life Sciences, Arizona State University, Tempe, AZ 85287, USA.
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21
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Kuehn C, Duch C. Putative excitatory and putative inhibitory inputs are localised in different dendritic domains in a Drosophila flight motoneuron. Eur J Neurosci 2013; 37:860-75. [PMID: 23279094 PMCID: PMC3604049 DOI: 10.1111/ejn.12104] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2012] [Revised: 11/21/2012] [Accepted: 11/21/2012] [Indexed: 12/24/2022]
Abstract
Input-output computations of individual neurons may be affected by the three-dimensional structure of their dendrites and by the location of input synapses on specific parts of their dendrites. However, only a few examples exist of dendritic architecture which can be related to behaviorally relevant computations of a neuron. By combining genetic, immunohistochemical and confocal laser scanning methods this study estimates the location of the spike-initiating zone and the dendritic distribution patterns of putative synaptic inputs on an individually identified Drosophila flight motorneuron, MN5. MN5 is a monopolar neuron with > 4,000 dendritic branches. The site of spike initiation was estimated by mapping sodium channel immunolabel onto geometric reconstructions of MN5. Maps of putative excitatory cholinergic and of putative inhibitory GABAergic inputs on MN5 dendrites were created by charting tagged Dα7 nicotinic acetylcholine receptors and Rdl GABAA receptors onto MN5 dendritic surface reconstructions. Although these methods provide only an estimate of putative input synapse distributions, the data indicate that inhibitory and excitatory synapses were located preferentially on different dendritic domains of MN5 and, thus, computed mostly separately. Most putative inhibitory inputs were close to spike initiation, which was consistent with sharp inhibition, as predicted previously based on recordings of motoneuron firing patterns during flight. By contrast, highest densities of putative excitatory inputs at more distant dendritic regions were consistent with the prediction that, in response to different power demands during flight, tonic excitatory drive to flight motoneuron dendrites must be smoothly translated into different tonic firing frequencies.
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Affiliation(s)
- Claudia Kuehn
- School of Life Sciences, Arizona State University, Tempe, AZ 85287, USA
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22
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Ruttenberg BE, Luna G, Lewis GP, Fisher SK, Singh AK. Quantifying spatial relationships from whole retinal images. Bioinformatics 2013; 29:940-6. [DOI: 10.1093/bioinformatics/btt052] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
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23
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Vonhoff F, Williams A, Ryglewski S, Duch C. Drosophila as a model for MECP2 gain of function in neurons. PLoS One 2012; 7:e31835. [PMID: 22363746 PMCID: PMC3283685 DOI: 10.1371/journal.pone.0031835] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2011] [Accepted: 01/13/2012] [Indexed: 12/03/2022] Open
Abstract
Methyl-CpG-binding protein 2 (MECP2) is a multi-functional regulator of gene expression. In humans loss of MECP2 function causes classic Rett syndrome, but gain of MECP2 function also causes mental retardation. Although mouse models provide valuable insight into Mecp2 gain and loss of function, the identification of MECP2 genetic targets and interactors remains time intensive and complicated. This study takes a step toward utilizing Drosophila as a model to identify genetic targets and cellular consequences of MECP2 gain-of function mutations in neurons, the principle cell type affected in patients with Rett-related mental retardation. We show that heterologous expression of human MECP2 in Drosophila motoneurons causes distinct defects in dendritic structure and motor behavior, as reported with MECP2 gain of function in humans and mice. Multiple lines of evidence suggest that these defects arise from specific MECP2 function. First, neurons with MECP2-induced dendrite loss show normal membrane currents. Second, dendritic phenotypes require an intact methyl-CpG-binding domain. Third, dendritic defects are amended by reducing the dose of the chromatin remodeling protein, osa, indicating that MECP2 may act via chromatin remodeling in Drosophila. MECP2-induced motoneuron dendritic defects cause specific motor behavior defects that are easy to score in genetic screening. In sum, our data show that some aspects of MECP2 function can be studied in the Drosophila model, thus expanding the repertoire of genetic reagents that can be used to unravel specific neural functions of MECP2. However, additional genes and signaling pathways identified through such approaches in Drosophila will require careful validation in the mouse model.
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Affiliation(s)
- Fernando Vonhoff
- School of Life Sciences, Arizona State University, Tempe, Arizona, United States of America
| | - Alison Williams
- School of Life Sciences, Arizona State University, Tempe, Arizona, United States of America
| | - Stefanie Ryglewski
- School of Life Sciences, Arizona State University, Tempe, Arizona, United States of America
| | - Carsten Duch
- School of Life Sciences, Arizona State University, Tempe, Arizona, United States of America
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24
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Ryglewski S, Lance K, Levine RB, Duch C. Ca(v)2 channels mediate low and high voltage-activated calcium currents in Drosophila motoneurons. J Physiol 2011; 590:809-25. [PMID: 22183725 DOI: 10.1113/jphysiol.2011.222836] [Citation(s) in RCA: 39] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
Different blends of membrane currents underlie distinct functions of neurons in the brain. A major step towards understanding neuronal function, therefore, is to identify the genes that encode different ionic currents. This study combined in situ patch clamp recordings of somatodendritic calcium currents in an identified adult Drosophila motoneuron with targeted genetic manipulation. Voltage clamp recordings revealed transient low voltage-activated (LVA) currents with activation between –60 mV and –70 mV as well as high voltage-activated (HVA) current with an activation voltage around –30 mV. LVA could be fully inactivated by prepulses to –50 mV and was partially amiloride sensitive. Recordings from newly generated mutant flies demonstrated that DmαG (Ca(v)3 homolog) encoded the amiloride-sensitive portion of the transient LVA calcium current. We further demonstrated that the Ca(v)2 homolog, Dmca1A, mediated the amiloride-insensitive component of LVA current. This novel role of Ca(v)2 channels was substantiated by patch clamp recordings from conditional mutants, RNAi knock-downs, and following Dmca1A overexpression. In addition, we show that Dmca1A underlies the HVA somatodendritic calcium currents in vivo. Therefore, the Drosophila Ca(v)2 homolog, Dmca1A, underlies HVA and LVA somatodendritic calcium currents in the same neuron. Interestingly, DmαG is required for regulating LVA and HVA derived from Dmca1A in vivo. In summary, each vertebrate gene family for voltage-gated calcium channels is represented by a single gene in Drosophila, namely Dmca1D (Ca(v)1), Dmca1A (Ca(v)2) and DmαG (Ca(v)3), but the commonly held view that LVA calcium currents are usually mediated by Ca(v)3 rather than Ca(v)2 channels may require reconsideration.
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Affiliation(s)
- Stefanie Ryglewski
- School of Life Sciences, Arizona State University, Tempe, AZ 85287, USA.
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