Subdivision of the Drosophila Mushroom Bodies by Enhancer-Trap Expression Patterns

Total Page:16

File Type:pdf, Size:1020Kb

Subdivision of the Drosophila Mushroom Bodies by Enhancer-Trap Expression Patterns Neuron, Vol. 15, 45-54, July, 1995, Copynght 0 1995 by Cell Press Subdivision of the Drosophila Mushroom Bodies by Enhancer-Trap Expression Patterns Ming Yao Yang,‘S J. Douglas Armstrong,‘* (Heisenberg et al., 1985; Heisenberg, 1989). Visual asso- llya Vilinsky,t Nicholas J. Strausfeld,t ciative behavior and other aspects of brain anatomy ap- and Kim Kaiser* pear relatively normal. Olfactory learning is even more *Laboratory of Genetics profoundly affected by ablation of mushroom body neuro- University of Glasgow blasts at an early stage of development, depleting the adult Church Street brain of mushroom body intrinsic neurons (deBelle and Glasgow Gil 5JS Heisenberg, 1994). Additional support for a role of Dro- Scotland sophila mushroom bodies in olfactory learning derives tArizona Research Laboratories from studies of biochemical learning mutants. Expression Division of Neurobiology of the learning genes dunce and rutabaga, for example, University of Arizona occurs predominantly, though not exclusively, in the Tucson, Arizona 85721 mushroom bodies (Nighorn et al., 1991; Han et al., 1992; Davis, 1993). Finally, gynandromorph analysis implicates Drosophila mushroom bodies, or adjacent neuropils, in Summary control of the male courtship repertoire (Hall, 1979), a be- havior that relies heavily on olfaction. Taken together, the Phylogenetically conserved brain centers known as picture that emerges is of a specialized neuropil involved mushroom bodies are implicated in insect associative in associating and storing multimodal sensory information, learning and in several other aspects of insect behav- thereby providing the organism with memory and pre- ior. Kenyon cells, the intrinsic neurons of mushroom dictive behavior. bodies, have been generally considered to be dis- Mushroom bodies comprise three classes of neurons: posed as homogenous arrays. Such a simple picture input, output, and intrinsic. Both structural (Strausfeld, imposesconstraintson interpreting the diverse behav- 1976; Mobbs, 1982) and functional (Mauelshagen, 1993; ioral and computational properties that mushroom Mizunami et al., 1993; Laurent and Davidowitz, 1994) stud- bodies are supposed to perform. Using a P[GAL4] en- ies suggest that the fundamental computational properties hancer-trap approach, we have revealed axonal pro- of mushroom bodies are provided by intrinsic neurons. cesses corresponding to intrinsic cells of the Drosoph- Known as Kenyon cells, these arise from dense clusters of ila mushroom bodies. Rather than being homogenous, cell bodies dorsal and posterior to each brain hemisphere we find the Drosophila mushroom bodies to be com- (Figure 1, top). Their dendrites form the mushroom body pound neuropils in which parallel subcomponents ex- calyces, large regions of input from the olfactory lobes, hibit discrete patterns of gene expression. Different while beneath each calyx the Kenyon cell axons converge patterns correspond to hitherto unobserved differ- to form a stalk-like structure, the pedunculus. The pedun- ences in Kenyon cell trajectory and placement. On the culus extends almost to the front of the brain, at which basis of this unexpected complexity, we propose a point it gives rise to a number of lobes: a dorsally projecting model for mushroom body function in which parallel a lobe and a 8/y lobe complex projecting toward the mid- channels of information flow, perhaps with different line. Though present in Drosophila and Lepidoptera (Pear- computational properties, subserve different behav- son, 1971), the y component has not been described for ioral roles. all insects. Mushroom bodies have often been considered as iso- Introduction morphic arrays of functionally equivalent intrinsic neurons (Hanstrom, 1928; Laurent and Davidowitz, 1994). Among Insect brains contain a pair of prominent and characteristi- the properties hypothesized for an isomorphic array of cally shaped neural centers known as mushroom bodies Kenyon cells are acquired tuning to a specific odorant (Dujardin, 1850; Mobbs, 1982; Schiirmann, 1987; Straus- (Heisenberg, 1989; Laurent and Davidowitz, 1994) and feld et al., 1995). Mushroom bodies have been implicated selective strengthening of specific connections during as- in associative learning and memory, and in a variety of sociative memory(Erber et al., 1980; Mauelshagen, 1993). complex functions including courtship, motor control, and There is, on the other hand, some evidence to suggest spatial recognition and target location (Huber, 1960; Erber that mushroom bodies are not entirely isomorphic. Three et al., 1987; Mizunami et al., 1993). In the fruitfly Drosoph- Kenyon cell populations have been described for the bee, ila melanogaster, single gene mutations that cause defec- differing in terms of dendritic morphologies, calycal loca- tive mushroom bodyanatomies(e.g.,mushroombodymin- tions, and sensory input (Mobbs, 1982; Menzel et al., iature and mushroom bodies deranged) have been shown 1994) while bee lobes show subdivision in terms of trans- to interfere significantly with olfactory associative learning mitter expression (Schafer and Bicker, 1986; Schafer et al., 1988). Reduced silver staining (Heisenberg, 1980) and electron microscopy (Technau and Heisenberg, 1982) of *These authors contributed equally to this work. the Drosophila mushroom bodies reveal local differences Figure 1. Mushroom Body Organization (Top) Schematic representations of the Drosophila mushroom bodies as revealed by reduced silver staining. On the left is a frontal view of the right protocerebral hemisphere, showing dense clusters of Kenyon cell bodies (cb) above and behind the calyx (ca). The calyx is formed by Kenyon cell dendrites and afferents from the olfactory lobes. Beneath each calyx, Kenyon cell axons converge to form a stalk-like structure, the pedunculus (ped). This extends almost to the front of the brain, where it divides into a dorsally projecting a lobe and a b/r complex projecting toward the midline. On the right is a sagittal view of a mushroom body showing approximate planes of section in (a)-(f). Shown In fainter outline is another brain structure, the central complex. (a-f) g-Gal expression revealed by X-Gal staining in representative 12 trrn cryostat frontal sections through the head of P(GAL4] line 3OY. Bar, 10 urn. SubdivIsion of Drosophila Mushroom Bodies 47 in Kenyon fiber density and diameter. Can this be sufficient mushroom bodies of normal size and shape. Different pat- to account for the variety of proposed roles for mushroom terns must therefore represent GAL4 expression in differ- bodies in behavior, or does behavioral complexitY jmPlY ent, genetically specified subsets of Kenyon cells. a more complex neuronal organization? A powerful means of revealing neuronal complexity in Pattern Relationships at Different Levels Drosophila is the P[GAL4] enhancer-trap technique of Organization (Brand and Perrimon, 1993; Kaiser, 1993). An enhancer- Differences between patterns can be resolved at all levels trap element is a transposon containing a reporter gene. of mushroom body organization: cell body cortex, calyx, Insertions that occur in close proximity to a transcriptionat pedunculus, and lobes. The differences are primarily due enhancer cause the reporter to be expressed in a Pattern to longitudinal subdivisions of the volume encompassed that reflects the enhancer’s regulatory properties. Among by the mushroom body as a whole. This is most clearly a large collection of F[GAL4] lines, we found many with seen within the lobes and pedunculus. Longitudinal subdi- expression patterns corresponding to neuronaf trajecto- vision of the lobes is illustrated in Figures 2b-2d, in which ries, or architectures, familiar from classical neUrOanat- 3 lines exhibit three quite different staining patterns. Pro- omy. Here we describe lines in which reporter expression found longitudinal subdivisions of the pedunculus are evi- corresponds to the dendritic locations and axonal trajecto- dent in cross-sectional images obtained by confocal mi- ries of Kenyon cells, croscopy (Figures 3a-3d). They reveal groups of Kenyon cell axons to be organized concentrically, with one or more Results outer rings enclosing several discrete fiber bundles, Like the rings that surround them, each fiber bundle appears GAL4 Expression in Kenyon Cell Subsets to have a layered organization. We screened 1400 newly generated FIGAL lines for The general picture that emerges is of groups of Kenyon GALCdirected b-galactosidase (b-gal) expression in crYo- cell axons disposed at characteristic, often concentric, po- Stat frontal sections of the Drosophila head. p-Gal activity sitions within the pedunculus, beyond which they segre- iS readily detected as a blue stain produced by conversion gate to characteristic regions of the lobes. Consider first of the chromogenic substrate X-Gal or with anti-P-gal anti- projections to the y lobe. A spur-like structure is often ob- bodies Many lines had b-gal expression more or less re- served at the branch point of the pedunculus and the lobes stricted to specific anatomical domains of the brain, and (see Figures 2b and 2~). Staining of the spur provides in a number of lines the mushroom bodies Were clearly continuity between the outer ring(s) of the pedunculus and revealed. Figures la-if show a series of sections through the y lobe (see also Figure 4) an interpretation supported the brain of line 3OY, in which b-gal expression iS a good byconsiderationsof staining intensity. Thus, spur intensity match for the classical view of Drosophila
Recommended publications
  • Structural Plasticity in the Drosophila Brain
    The Journal of Neuroscience, March 1995, 75(3): 1951-1960 Structural Plasticity in the Drosophila Brain Martin Heisenberg, Monika Heusipp, and Christiane Wanke Theodor-Boveri-Institut ftir Biowissenschaften (Biozentrum), Lehrstuhl fijr Genetik, Am Hubland, D-97074 Wcrzburg, Germany The Drosophila brain is highly variable in size. Female flies the behavioral correlate of this structural plasticity (if there is grown in densely populated larval cultures have up to 20% any)? more Kenyon cell fibers in their mushroom bodies than Technau (1984) observed a pronounced increase in fiber num- flies from low-density cultures. These differences in the ber during the first week of adulthood, no change in the second number of Kenyon cell fibers are accompanied by differ- week, and a slow decline in the third. The increase was accom- ences in the volume of the calyx. During imaginal life, vol- panied by low-level mitotic activity in the cellular cortex of the ume changes are observed in the calyces, all parts of the calyx which, however, appeared to be too small to account for optic lobes, the central brain, and central complex. They the increase in fiber number during that period (see also Ito and occur not only in the first week of adulthood but also be- Hotta, 1992). In a follow-up study, Balling et al. (1987) ob- tween days 8 and 16. Factors causing these changes are served, that in the same wild-type stock the fiber number in little understood. In flies kept in pairs for 1 week, the size newly eclosed flies was markedly higher than recorded earlier of the calyx but not of the lobula is influenced by the sex and that it declined during the first week.
    [Show full text]
  • Localized Olfactory Representation in Mushroom Bodies of Drosophila Larvae
    Localized olfactory representation in mushroom bodies of Drosophila larvae Liria M. Masuda-Nakagawaa,1, Nanae¨ Gendreb, Cahir J. O’Kanec, and Reinhard F. Stockerb aInstitute of Molecular and Cellular Biosciences, University of Tokyo, Yayoi 1-1-1, Bunkyo-ku, Tokyo 113-0032, Japan; bDepartment of Biology, University of Fribourg, Chemin du Muse´e 10, CH-1700 Fribourg, Switzerland; and cDepartment of Genetics, University of Cambridge, Downing Street, Cambridge CB2 3EH, United Kingdom Edited by Obaid Siddiqi, Tata Institute for Fundamental Research, Bangalore, India, and approved May 4, 2009 (received for review January 7, 2009) Odor discrimination in higher brain centers is essential for behav- of spatial stereotypy of odor representations in PNs in the calyx ioral responses to odors. One such center is the mushroom body has not yet been functionally defined, and the complexity of the (MB) of insects, which is required for odor discrimination learning. adult calyx makes it difficult to visualize the representation of The calyx of the MB receives olfactory input from projection odor qualities in single identified cells. neurons (PNs) that are targets of olfactory sensory neurons (OSNs) Drosophila larvae, which can perceive a wide variety of odors in the antennal lobe (AL). In the calyx, olfactory information is (14) and perform odor discrimination learning (15, 16), have an transformed from broadly-tuned representations in PNs to sparse olfactory system with the same basic architecture as adults but representations in MB neurons (Kenyon cells). However, the extent numerically much simpler. It contains only 21 unique OSNs (17), of stereotypy in olfactory representations in the calyx is unknown.
    [Show full text]
  • VIEW Open Access Structural Aspects of Plasticity in the Nervous System of Drosophila Atsushi Sugie1,2†, Giovanni Marchetti3† and Gaia Tavosanis3*
    Sugie et al. Neural Development (2018) 13:14 https://doi.org/10.1186/s13064-018-0111-z REVIEW Open Access Structural aspects of plasticity in the nervous system of Drosophila Atsushi Sugie1,2†, Giovanni Marchetti3† and Gaia Tavosanis3* Abstract Neurons extend and retract dynamically their neurites during development to form complex morphologies and to reach out to their appropriate synaptic partners. Their capacity to undergo structural rearrangements is in part maintained during adult life when it supports the animal’s ability to adapt to a changing environment or to form lasting memories. Nonetheless, the signals triggering structural plasticity and the mechanisms that support it are not yet fully understood at the molecular level. Here, we focus on the nervous system of the fruit fly to ask to which extent activity modulates neuronal morphology and connectivity during development. Further, we summarize the evidence indicating that the adult nervous system of flies retains some capacity for structural plasticity at the synaptic or circuit level. For simplicity, we selected examples mostly derived from studies on the visual system and on the mushroom body, two regions of the fly brain with extensively studied neuroanatomy. Keywords: Structural plasticity, Drosophila, Photoreceptors, Synapse, Active zone, Mushroom body, Mushroom body calyx, Learning Background neuronal types, the feed-back derived from activity ap- The establishment of a functional neuronal circuit is a pears to be an important element to define which connec- dynamic process, including an extensive structural re- tions can be stabilized and which ones removed [3–5]. modeling and refinement of neuronal connections. Nonetheless, the cellular mechanisms initiated by activity Intrinsic differentiation programs and stereotypic mo- to drive structural remodeling during development and in lecular pathways contribute the groundwork of pattern- the course of adult life are not fully elucidated.
    [Show full text]
  • Evolution, Discovery, and Interpretations of Arthropod Mushroom Bodies Nicholas J
    Downloaded from learnmem.cshlp.org on September 28, 2021 - Published by Cold Spring Harbor Laboratory Press Evolution, Discovery, and Interpretations of Arthropod Mushroom Bodies Nicholas J. Strausfeld,1,2,5 Lars Hansen,1 Yongsheng Li,1 Robert S. Gomez,1 and Kei Ito3,4 1Arizona Research Laboratories Division of Neurobiology University of Arizona Tucson, Arizona 85721 USA 2Department of Ecology and Evolutionary Biology University of Arizona Tucson, Arizona 85721 USA 3Yamamoto Behavior Genes Project ERATO (Exploratory Research for Advanced Technology) Japan Science and Technology Corporation (JST) at Mitsubishi Kasei Institute of Life Sciences 194 Machida-shi, Tokyo, Japan Abstract insect orders is an acquired character. An overview of the history of research on the Mushroom bodies are prominent mushroom bodies, as well as comparative neuropils found in annelids and in all and evolutionary considerations, provides a arthropod groups except crustaceans. First conceptual framework for discussing the explicitly identified in 1850, the mushroom roles of these neuropils. bodies differ in size and complexity between taxa, as well as between different castes of a Introduction single species of social insect. These Mushroom bodies are lobed neuropils that differences led some early biologists to comprise long and approximately parallel axons suggest that the mushroom bodies endow an originating from clusters of minute basophilic cells arthropod with intelligence or the ability to located dorsally in the most anterior neuromere of execute voluntary actions, as opposed to the central nervous system. Structures with these innate behaviors. Recent physiological morphological properties are found in many ma- studies and mutant analyses have led to rine annelids (e.g., scale worms, sabellid worms, divergent interpretations.
    [Show full text]
  • Dopamine and the Temporal Dependence of Learning and Memory Annie Handler
    Rockefeller University Digital Commons @ RU Student Theses and Dissertations 2019 Dopamine and the Temporal Dependence of Learning and Memory Annie Handler Follow this and additional works at: https://digitalcommons.rockefeller.edu/ student_theses_and_dissertations Part of the Life Sciences Commons DOPAMINE AND THE TEMPORAL DEPENDENCE OF LEARNING AND MEMORY A Thesis Presented to the Faculty of The Rockefeller University in Partial Fulfillment of the Requirements for the degree of Doctor of Philosophy by Annie Handler June 2019 © Copyright by Annie Handler 2019 DOPAMINE AND THE TEMPORAL DEPENDENCE OF LEARNING AND MEMORY Annie Handler, Ph.D. The Rockefeller University 2019 Animal behavior is largely influenced by the seeking out of rewards and avoidance of punishments. Positive or negative reinforcements, like a food reward or painful shock, impart meaningful valence onto sensory cues in the animal’s environment. The ability of animals to form associations between a sensory cue and a rewarding or punishing reinforcement permits them to adapt their future behavior to maximize reward and minimize punishments. Animals rely on the timing of events to infer the causal relationships between cues and outcomes –– sensory cues that precede a painful shock in time become associated with its onset and are imparted with negative valence, whereas cues that follow the shock in time are instead associated with its cessation and imparted with positive valence. While the temporal requirements for associative learning have been well characterized at the behavioral level, the molecular and circuit mechanisms for this temporal sensitivity remain incompletely understood. Using the simple architecture of the mushroom body, an olfactory associative learning center in Drosophila, I examined how the relative timing of olfactory inputs and dopaminergic reinforcement signals is encoded at the molecular, synaptic, and circuit level to give rise to learned odor associations.
    [Show full text]
  • A Review of Effects of Environment on Brain Size in Insects
    insects Review A Review of Effects of Environment on Brain Size in Insects Thomas Carle Faculty of Biology, Kyushu University, Fukuoka 819-0395, Japan; [email protected] Simple Summary: What makes a big brain is fascinating since it is considered as a measure of intelligence. Above all, brain size is associated with body size. If species that have evolved with complex social behaviours possess relatively bigger brains than those deprived of such behaviours, this does not constitute the only factor affecting brain size. Other factors such as individual experience or surrounding environment also play roles in the size of the brain. In this review, I summarize the recent findings about the effects of environment on brain size in insects. I also discuss evidence about how the environment has an impact on sensory systems and influences brain size. Abstract: Brain size fascinates society as well as researchers since it is a measure often associated with intelligence and was used to define species with high “intellectual capabilities”. In general, brain size is correlated with body size. However, there are disparities in terms of relative brain size between species that may be explained by several factors such as the complexity of social behaviour, the ‘social brain hypothesis’, or learning and memory capabilities. These disparities are used to classify species according to an ‘encephalization quotient’. However, environment also has an important role on the development and evolution of brain size. In this review, I summarise the recent studies looking at the effects of environment on brain size in insects, and introduce the idea that the role of environment might be mediated through the relationship between olfaction and vision.
    [Show full text]
  • Sprouting Interneurons in Mushroom Bodies of Adult Cricket Brains
    THE JOURNAL OF COMPARATIVE NEUROLOGY 508:153–174 (2008) Sprouting Interneurons in Mushroom Bodies of Adult Cricket Brains ASHRAF MASHALY, MARGRET WINKLER, INA FRAMBACH, HERIBERT GRAS, AND FRIEDRICH-WILHELM SCHU¨ RMANN Johann-Friedrich-Blumenbach-Institut fu¨ r Zoologie und Anthropologie, Universita¨t Go¨ttingen, D-37073 Go¨ttingen, Germany ABSTRACT In crickets, neurogenesis persists throughout adulthood for certain local brain interneu- rons, the Kenyon cells in the mushroom bodies, which represent a prominent compartment for sensory integration, learning, and memory. Several classes of these neurons originate from a perikaryal layer, which includes a cluster of neuroblasts, surrounded by somata that provide the mushroom body’s columnar neuropil. We describe the form, distribution, and cytology of Kenyon cell groups in the process of generation and growth in comparison to developed parts of the mushroom bodies in adult crickets of the species Gryllus bimaculatus. A subset of growing Kenyon cells with sprouting processes has been distinguished from adjacent Kenyon cells by its prominent f-actin labelling. Growth cone-like elements are detected in the perikaryal layer and in their associated sprouting fiber bundles. Sprouting fibers distant from the perikarya contain ribosomes and rough endoplasmic reticulum not found in the dendritic processes of the calyx. A core of sprouting Kenyon cell processes is devoid of synapses and is not invaded by extrinsic neuronal elements. Measurements of fiber cross-sections and counts of synapses and organelles suggest a continuous gradient of growth and maturation leading from the core of added new processes out to the periphery of mature Kenyon cell fiber groups. Our results are discussed in the context of Kenyon cell classification, growth dynamics, axonal fiber maturation, and function.
    [Show full text]
  • Genealogical Correspondence of Mushroom Bodies Across Invertebrate Phyla
    Current Biology 25, 38–44, January 5, 2015 ª2015 Elsevier Ltd All rights reserved http://dx.doi.org/10.1016/j.cub.2014.10.049 Report Genealogical Correspondence of Mushroom Bodies across Invertebrate Phyla Gabriella H. Wolff1,* and Nicholas J. Strausfeld1,2 that are accorded the term ‘‘mushroom bodies’’ (insects) 1Department of Neuroscience, School of Mind, Brain, and and ‘‘hemiellipsoid bodies’’ (crustaceans). Four invariant Behavior, University of Arizona, Tucson, AZ 85721, USA characters define these centers’ ground pattern (Figure 1). 2Center for Insect Science, University of Arizona, Tucson, Clusters of basophilic globuli cells (Figures 1F and 1G) AZ 85721, USA giving rise to intrinsic fibers extending throughout the center provide approximately parallel arrangements (Figures 1H– 1K). Intrinsic fibers contribute to an orthogonal network with Summary arborizations of extrinsic (input/output) neurons (Figures 1H and 1J) and centrifugal cells that loop back to more distal Except in species that have undergone evolved loss, paired levels thereby forming feedback pathways (Figures 1D and lobed centers referred to as ‘‘mushroom bodies’’ occur 1E). The ground pattern is further defined by enriched expres- across invertebrate phyla [1–5]. Unresolved is the question sion of proteins essential for learning and memory functions in of whether these centers, which support learning and Drosophila (Figures 1F, 1G, and 2), namely, protein kinase memory in insects, correspond genealogically or whether A catalytic subunit alpha (DC0) [8]; Leonardo (Leo) [9], the their neuronal organization suggests convergent evolu- ortholog of mammalian 14-3-3z; and calcium/calmodulin- tion. Here, anatomical and immunohistological observations dependent protein kinase II (CaMKII) [10, 11].
    [Show full text]
  • Short Neuropeptide F Acts As a Functional Neuromodulator for Olfactory Memory in Kenyon Cells of Drosophila Mushroom Bodies
    5340 • The Journal of Neuroscience, March 20, 2013 • 33(12):5340–5345 Behavioral/Cognitive Short Neuropeptide F Acts as a Functional Neuromodulator for Olfactory Memory in Kenyon Cells of Drosophila Mushroom Bodies Stephan Knapek,1 Lily Kahsai,2 Åsa M. E. Winther,2 Hiromu Tanimoto,1 and Dick R. Na¨ssel2 1Behavioral Genetics, Max Planck Institute of Neurobiology, Martinsried, D-82152 Germany and 2Department of Zoology, Stockholm University, S-10691 Stockholm, Sweden In insects, many complex behaviors, including olfactory memory, are controlled by a paired brain structure, the so-called mushroom bodies (MB). In Drosophila, the development, neuroanatomy, and function of intrinsic neurons of the MB, the Kenyon cells, have been well character- ized. Until now, several potential neurotransmitters or neuromodulators of Kenyon cells have been anatomically identified. However, whether these neuroactive substances of the Kenyon cells are functional has not been clarified yet. Here we show that a neuropeptide precursor gene encoding four types of short neuropeptide F (sNPF) is required in the Kenyon cells for appetitive olfactory memory. We found that activation of Kenyon cells by expressing a thermosensitive cation channel (dTrpA1) leads to a decrease in sNPF immunoreactivity in the MB lobes. Targeted expression of RNA interference against the sNPF precursor in Kenyon cells results in a highly significant knockdown of sNPF levels. This knockdown of sNPF in the Kenyon cells impairs sugar-rewarded olfactory memory. This impairment is not due to a defect in the reflexive sugar preference or odor response. Consistently, knockdown of sNPF receptors outside the MB causes deficits in appetitive memory. Altogether, these results suggest that sNPF is a functional neuromodulator released by Kenyon cells.
    [Show full text]
  • Comparative Neuroanatomy Within the Context of Deep Metazoan Phylogeny
    Comparative Neuroanatomy within the Context of Deep Metazoan Phylogeny Von der Fakultät für Mathematik, Informatik und Naturwissenschaften der Rheinisch-Westfälischen Technischen Hochschule Aachen zur Erlangung des akademischen Grades eines Doktors der Naturwissenschaften genehmigte Dissertation vorgelegt von Diplom-Biologe Carsten Michael Heuer aus Düsseldorf Berichter: Herr Universitätsprofessor Dr. Peter Bräunig Herr Privatdozent Dr. Rudolf Loesel Tag der mündlichen Prüfung: 08.03.2010 Diese Dissertation ist auf den Internetseiten der Hochschulbibliothek online verfügbar. Summary Comparative invertebrate neuroanatomy has seen a renaissance in recent years. Highly conserved neuroarchitectural traits offer a wealth of hitherto largely unexploited characters that can make valuable contributions in inferring phylogenetic relationships in cases where phylogenetic analyses of molecular or morphological data sets yield trees with conflicting or weakly supported topologies. Conversely, in those cases where robust phylogenetic trees exist, neuroanatomical features can be mapped onto the trees, helping to shed light on the evolution of the central nervous system. This thesis aims to provide detailed neuroanatomical data for a hitherto poorly studied invertebrate taxon, the segmented worms (Annelida). Drawing on the wealth of investigations into the architecture of the brain in different arthropods, the study focuses on the identification and description of possibly homologous brain centers (i.e. neuropils) in annelids. The thesis presents an extensive survey of the internal architecture of the brain of the ragworm Nereis diversicolor (Polychaeta, Annelida). Based upon confocal laser scanning microscope analyses, the distribution of neuroactive substances in the brain is described and the architecture of two major brain compartments, namely the paired mushroom bodies and the central optic neuropil, is characterized in detail.
    [Show full text]
  • Presynaptic Developmental Plasticity Allows Robust Sparse Wiring of the Drosophila Mushroom
    bioRxiv preprint doi: https://doi.org/10.1101/782961; this version posted December 30, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC 4.0 International license. 1 Presynaptic developmental plasticity allows robust sparse wiring of the Drosophila mushroom 2 body 3 4 Najia A. Elkahlah1, *, Jackson A. Rogow2, *, Maria Ahmed1, and E. Josephine Clowney1, $ 5 6 1. Department of Molecular, Cellular, and Developmental Biology, The University of Michigan, 7 Ann Arbor, MI 48109, USA 8 2. Laboratory of Neurophysiology and Behavior, The Rockefeller University, New York, NY 9 10065, USA. 10 11 * These authors contributed equally to this work. 12 $ To whom correspondence should be addressed: [email protected] 13 14 15 1 bioRxiv preprint doi: https://doi.org/10.1101/782961; this version posted December 30, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC 4.0 International license. 16 Abstract: In order to represent complex stimuli, principle neurons of associative learning re- 17 gions receive combinatorial sensory inputs. Density of combinatorial innervation is theorized to 18 determine the number of distinct stimuli that can be represented and distinguished from one an- 19 other, with sparse innervation thought to optimize the complexity of representations in networks 20 of limited size.
    [Show full text]
  • Olfactory Coding: Tagging and Tuning Odor-Activated Synapses for Memory
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Dispatch R227 11. Uhl, M.A., Biery, M., Craig, N., and 14. Keniry, M.E., Kemp, H.A., Rivers, D.M., and by systematic analysis of protein complexes. Johnson, A.D. (2003). Haploinsufficiency-based Sprague, G.F., Jr. (2004). The identification of Nature 415, 141–147. large-scale forward genetic analysis of Pcl1-interacting proteins that genetically 18. Huang, D., Friesen, H., and Andrews, B. (2007). filamentous growth in the diploid human interact with Cla4 may indicate a link between Pho85, a multifunctional cyclin-dependent fungal pathogen C.albicans. EMBO J. 22, G1 progression and mitotic exit. Genetics 166, protein kinase in budding yeast. Mol. Microbiol. 2668–2678. 1177–1186. 66, 303–314. 12. Bruno, V.M., Kalachikov, S., Subaran, R., 15. Cullen, P.J., and Sprague, G.F., Jr. (2012). Nobile, C.J., Kyratsous, C., and Mitchell, A.P. The regulation of filamentous growth in yeast. (2006). Control of the C. albicans cell wall Genetics 190, 23–49. 200B Mellon Institute, Department of damage response by transcriptional regulator 16. Singh, S.D., Robbins, N., Zaas, A.K., Cas5. PLoS Pathog. 2, e21. Schell, W.A., Perfect, J.R., and Cowen, L.E. Biological Sciences, Carnegie Mellon 13. Rauceo, J.M., Blankenship, J.R., Fanning, S., (2009). Hsp90 governs echinocandin resistance University, 4400 Fifth Avenue, Pittsburgh, Hamaker, J.J., Deneault, J.S., Smith, F.J., in the pathogenic yeast Candida albicans via PA 15213, USA. Nantel, A., and Mitchell, A.P.
    [Show full text]