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      A Complete Electron Microscopy Volume of the Brain of Adult Drosophila melanogaster

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          Summary

          Drosophila melanogaster has a rich repertoire of innate and learned behaviors. Its 100,000-neuron brain is a large but tractable target for comprehensive neural circuit mapping. Only electron microscopy (EM) enables complete, unbiased mapping of synaptic connectivity; however, the fly brain is too large for conventional EM. We developed a custom high-throughput EM platform and imaged the entire brain of an adult female fly at synaptic resolution. To validate the dataset, we traced brain-spanning circuitry involving the mushroom body (MB), which has been extensively studied for its role in learning. All inputs to Kenyon cells (KCs), the intrinsic neurons of the MB, were mapped, revealing a previously unknown cell type, postsynaptic partners of KC dendrites, and unexpected clustering of olfactory projection neurons. These reconstructions show that this freely available EM volume supports mapping of brain-spanning circuits, which will significantly accelerate Drosophila neuroscience.

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          Highlights

          • A complete adult Drosophila brain was imaged with EM and has been made publicly available

          • The imaged volume enables brain-spanning mapping of circuits at synaptic resolution

          • All mushroom body (MB) calyx inputs were mapped, revealing a new cell type, MB-CP2

          • Previously unidentified synaptic partners form recurrent microcircuits in MB calyx

          Abstract

          Electron microscopy imaging of the entire adult fruit fly brain at synapse resolution reveals circuitry spanning multiple regions and connectivity between known and previously unknown cell types.

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          ADVANCED IMAGING. Extended-resolution structured illumination imaging of endocytic and cytoskeletal dynamics.

          Super-resolution fluorescence microscopy is distinct among nanoscale imaging tools in its ability to image protein dynamics in living cells. Structured illumination microscopy (SIM) stands out in this regard because of its high speed and low illumination intensities, but typically offers only a twofold resolution gain. We extended the resolution of live-cell SIM through two approaches: ultrahigh numerical aperture SIM at 84-nanometer lateral resolution for more than 100 multicolor frames, and nonlinear SIM with patterned activation at 45- to 62-nanometer resolution for approximately 20 to 40 frames. We applied these approaches to image dynamics near the plasma membrane of spatially resolved assemblies of clathrin and caveolin, Rab5a in early endosomes, and α-actinin, often in relationship to cortical actin. In addition, we examined mitochondria, actin, and the Golgi apparatus dynamics in three dimensions.
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            Complementary function and integrated wiring of the evolutionarily distinct Drosophila olfactory subsystems.

            To sense myriad environmental odors, animals have evolved multiple, large families of divergent olfactory receptors. How and why distinct receptor repertoires and their associated circuits are functionally and anatomically integrated is essentially unknown. We have addressed these questions through comprehensive comparative analysis of the Drosophila olfactory subsystems that express the ionotropic receptors (IRs) and odorant receptors (ORs). We identify ligands for most IR neuron classes, revealing their specificity for select amines and acids, which complements the broader tuning of ORs for esters and alcohols. IR and OR sensory neurons exhibit glomerular convergence in segregated, although interconnected, zones of the primary olfactory center, but these circuits are extensively interdigitated in higher brain regions. Consistently, behavioral responses to odors arise from an interplay between IR- and OR-dependent pathways. We integrate knowledge on the different phylogenetic and developmental properties of these receptors and circuits to propose models for the functional contributions and evolution of these distinct olfactory subsystems.
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              Visual Place Learning in Drosophila melanogaster

              The ability of insects to learn and navigate to specific locations in the environment has fascinated naturalists for decades. While the impressive navigation abilities of ants, bees, wasps, and other insects clearly demonstrate that insects are capable of visual place learning 1–4 , little is known about the underlying neural circuits that mediate these behaviors. Drosophila melanogaster is a powerful model organism for dissecting the neural circuitry underlying complex behaviors, from sensory perception to learning and memory. Flies can identify and remember visual features such as size, color, and contour orientation 5, 6 . However, the extent to which they use vision to recall specific locations remains unclear. Here we describe a visual place-learning platform and demonstrate that Drosophila are capable of forming and retaining visual place memories to guide selective navigation. By targeted genetic silencing of small subsets of cells in the Drosophila brain we show that neurons in the ellipsoid body, but not in the mushroom bodies, are necessary for visual place learning. Together, these studies reveal distinct neuroanatomical substrates for spatial versus non-spatial learning, and substantiate Drosophila as a powerful model for the study of spatial memories.
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                Author and article information

                Contributors
                Journal
                Cell
                Cell
                Cell
                Cell Press
                0092-8674
                1097-4172
                26 July 2018
                26 July 2018
                : 174
                : 3
                : 730-743.e22
                Affiliations
                [1 ]Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA 20147, USA
                [2 ]Coleman Technologies, Newtown Square, PA 19073, USA
                [3 ]Hudson Price Designs, Hingham, MA 02043, USA
                [4 ]Division of Neurobiology, MRC Laboratory of Molecular Biology, Cambridge CB2 0QH, UK
                [5 ]Department of Zoology, University of Cambridge, Cambridge CB2 3EJ, UK
                [6 ]Department of Computer Science, Johns Hopkins University, Baltimore, MD 21218, USA
                Author notes
                []Corresponding author bockd@ 123456janelia.hhmi.org
                [7]

                These authors contributed equally

                [8]

                Present address: Center for Imaging Science, Johns Hopkins University, Baltimore, MD 21218, USA

                [9]

                Present address: Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA 20147, USA

                [10]

                Present address: Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA 94158, USA

                [11]

                Lead Contact

                Article
                S0092-8674(18)30787-6
                10.1016/j.cell.2018.06.019
                6063995
                30033368
                0d7f3a85-a91d-477d-9c17-850bf8c1f197
                © 2018 The Authors

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 22 May 2017
                : 28 February 2018
                : 10 June 2018
                Categories
                Article

                Cell biology
                electron microscopy,connectomics,neural circuits,drosophila melanogaster,mushroom body,olfaction,image stitching

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