@article {68839, title = {New genetic tools for mushroom body output neurons in~Drosophila}, journal = {eLife}, year = {2024}, month = {2024 Jan 24}, abstract = {

How memories of past events influence behavior is a key question in neuroscience. The major associative learning center in\ Drosophila, the Mushroom Body (MB), communicates to the rest of the brain through Mushroom Body Output Neurons (MBONs). While 21 MBON cell types have their dendrites confined to small compartments of the MB lobes, analysis of EM connectomes revealed the presence of an additional 14 MBON cell types that are atypical in having dendritic input both within the MB lobes and in adjacent brain regions. Genetic reagents for manipulating atypical MBONs and experimental data on their functions has been lacking. In this report we describe new cell-type-specific GAL4 drivers for many MBONs, including the majority of atypical MBONs. Using these genetic reagents, we conducted optogenetic activation screening to examine their ability to drive behaviors and learning. These reagents provide important new tools for the study of complex behaviors in\ Drosophila.

}, doi = {10.7554/eLife.90523}, url = {https://doi.org/10.7554/eLife.90523}, author = {Rubin, Gerald M and Aso, Yoshinori} } @article {69138, title = {Connectomic reconstruction predicts the functional organization of visual inputs to the navigation center of the brain.}, journal = {bioRxiv}, year = {2023}, month = {2023 Nov 30}, abstract = {

Many animals, including humans, navigate their surroundings by visual input, yet we understand little about how visual information is transformed and integrated by the navigation system. In , compass neurons in the donut-shaped ellipsoid body of the central complex generate a sense of direction by integrating visual input from ring neurons, a part of the anterior visual pathway (AVP). Here, we densely reconstruct all neurons in the AVP using FlyWire, an AI-assisted tool for analyzing electron-microscopy data. The AVP comprises four neuropils, sequentially linked by three major classes of neurons: MeTu neurons, which connect the medulla in the optic lobe to the small unit of anterior optic tubercle (AOTUsu) in the central brain; TuBu neurons, which connect the anterior optic tubercle to the bulb neuropil; and ring neurons, which connect the bulb to the ellipsoid body. Based on neuronal morphologies, connectivity between different neural classes, and the locations of synapses, we identified non-overlapping channels originating from four types of MeTu neurons, which we further divided into ten subtypes based on the presynaptic connections in medulla and postsynaptic connections in AOTUsu. To gain an objective measure of the natural variation within the pathway, we quantified the differences between anterior visual pathways from both hemispheres and between two electron-microscopy datasets. Furthermore, we infer potential visual features and the visual area from which any given ring neuron receives input by combining the connectivity of the entire AVP, the MeTu neurons{\textquoteright} dendritic fields, and presynaptic connectivity in the optic lobes. These results provide a strong foundation for understanding how distinct visual features are extracted and transformed across multiple processing stages to provide critical information for computing the fly{\textquoteright}s sense of direction.

}, doi = {10.1101/2023.11.29.569241}, url = {https://doi.org/10.1101/2023.11.29.569241}, author = {Garner, Dustin and Kind, Emil and Nern, Aljoscha and Houghton, Lucy and Zhao, Arthur and Sancer, Gizem and Rubin, Gerald M and Wernet, Mathias F and Kim, Sung Soo} } @article {68629, title = {A searchable image resource of Drosophila GAL4-driver expression patterns with single neuron resolution.}, journal = {eLife}, volume = {12}, year = {2023}, month = {2023 Feb 23}, abstract = {

Precise, repeatable genetic access to specific neurons via GAL4/UAS and related methods is a key advantage of Drosophila neuroscience. Neuronal targeting is typically documented using light microscopy of full GAL4 expression patterns, which generally lack the single-cell resolution required for reliable cell type identification. Here we use stochastic GAL4 labeling with the MultiColor FlpOut approach to generate cellular resolution confocal images at large scale. We are releasing aligned images of 74,000 such adult central nervous systems. An anticipated use of this resource is to bridge the gap between neurons identified by electron or light microscopy. Identifying individual neurons that make up each GAL4 expression pattern improves the prediction of split-GAL4 combinations targeting particular neurons. To this end we have made the images searchable on the NeuronBridge website. We demonstrate the potential of NeuronBridge to rapidly and effectively identify neuron matches based on morphology across imaging modalities and datasets.

}, issn = {2050-084X}, doi = {10.7554/eLife.80660}, author = {Meissner, Geoffrey Wilson and Nern, Aljoscha and Dorman, Zachary and Depasquale, Gina M and Forster, Kaitlyn and Gibney, Theresa and Hausenfluck, Joanna H and He, Yisheng and Iyer, Nirmala A and Jeter, Jennifer and Johnson, Lauren and Johnston, Rebecca M and Lee, Kelley and Melton, Brian and Yarbrough, Brianna and Zugates, Christopher T and Clements, Jody and Goina, Cristian and Otsuna, Hideo and Rokicki, Konrad and Svirskas, Robert R and Aso, Yoshinori and Card, Gwyneth M and Dickson, Barry J and Ehrhardt, Erica and Goldammer, Jens and Ito, Masayoshi and Kainmueller, Dagmar and Korff, Wyatt and Mais, Lisa and minegishi, ryo and Namiki, Shigehiro and Rubin, Gerald M and Sterne, Gabriella R and Wolff, Tanya and Malkesman, Oz} } @article {67952, title = {A functionally ordered visual feature map in the Drosophila brain.}, journal = {Neuron}, volume = {110}, year = {2022}, month = {2022 May 18}, pages = {1700}, abstract = {

Topographic maps, the systematic spatial ordering of neurons by response tuning, are common across species. In Drosophila, the lobula columnar (LC) neuron types project from the optic lobe to the central brain, where each forms a glomerulus in a distinct position. However, the advantages of this glomerular arrangement are unclear. Here, we examine the functional and spatial relationships of 10 glomeruli using single-neuron calcium imaging. We discover novel detectors for objects smaller than the lens resolution (LC18) and for complex line motion (LC25). We find that glomeruli are spatially clustered by selectivity for looming versus drifting object motion and ordered by size tuning to form a topographic visual feature map. Furthermore, connectome analysis shows that downstream neurons integrate from sparse subsets of possible glomeruli combinations, which are biased for glomeruli encoding similar features. LC neurons are thus an explicit example of distinct feature detectors topographically organized to facilitate downstream circuit integration.

}, issn = {1097-4199}, doi = {10.1016/j.neuron.2022.02.013}, author = {Klapoetke, Nathan C and Nern, Aljoscha and Rogers, Edward M and Rubin, Gerald M and Reiser, Michael B and Card, Gwyneth M} } @article {67771, title = {A connectome of the central complex reveals network motifs suitable for flexible navigation and context-dependent action selection.}, journal = {eLife}, volume = {10}, year = {2021}, month = {2021 Oct 26}, abstract = {

Flexible behaviors over long timescales are thought to engage recurrent neural networks in deep brain regions, which are experimentally challenging to study. In insects, recurrent circuit dynamics in a brain region called the central complex (CX) enable directed locomotion, sleep, and context- and experience-dependent spatial navigation. We describe the first complete electron-microscopy-based connectome of the CX, including all its neurons and circuits at synaptic resolution. We identified new CX neuron types, novel sensory and motor pathways, and network motifs that likely enable the CX to extract the fly{\textquoteright}s head-direction, maintain it with attractor dynamics, and combine it with other sensorimotor information to perform vector-based navigational computations. We also identified numerous pathways that may facilitate the selection of CX-driven behavioral patterns by context and internal state. The CX connectome provides a comprehensive blueprint necessary for a detailed understanding of network dynamics underlying sleep, flexible navigation, and state-dependent action selection.

}, issn = {2050-084X}, doi = {10.7554/eLife.66039}, author = {Hulse, Brad K and Haberkern, Hannah and Franconville, Romain and Turner-Evans, Daniel B and Takemura, Shin-ya and Wolff, Tanya and Noorman, Marcella and Dreher, Marisa and Dan, Chuntao and Parekh, Ruchi and Hermundstad, Ann M and Rubin, Gerald M and Jayaraman, Vivek} } @article {67303, title = {Information flow, cell types and stereotypy in a full olfactory connectome.}, journal = {eLife}, volume = {10}, year = {2021}, month = {2021 May 25}, abstract = {

The connectome provides large scale connectivity and morphology information for the majority of the central brain of . Using this data set, we provide a complete description of the olfactory system, covering all first, second and lateral horn-associated third-order neurons. We develop a generally applicable strategy to extract information flow and layered organisation from connectome graphs, mapping olfactory input to descending interneurons. This identifies a range of motifs including highly lateralised circuits in the antennal lobe and patterns of convergence downstream of the mushroom body and lateral horn. Leveraging a second data set we provide a first quantitative assessment of inter- versus intra-individual stereotypy. Comparing neurons across two brains (three hemispheres) reveals striking similarity in neuronal morphology across brains. Connectivity correlates with morphology and neurons of the same morphological type show similar connection variability within the same brain as across two brains.

}, issn = {2050-084X}, doi = {10.7554/eLife.66018}, author = {Schlegel, Philipp and Bates, Alexander Shakeel and St{\"u}rner, Tomke and Jagannathan, Sridhar R and Drummond, Nikolas and Hsu, Joseph and Serratosa Capdevila, Laia and Javier, Alexandre and Marin, Elizabeth C and Barth-Maron, Asa and Tamimi, Imaan Fm and Li, Feng and Rubin, Gerald M and Plaza, Stephen M and Costa, Marta and Jefferis, Gregory Sxe} } @article {67843, title = {Synaptic targets of photoreceptors specialized to detect color and skylight polarization in .}, journal = {eLife}, volume = {10}, year = {2021}, month = {2021 Dec 16}, abstract = {

Color and polarization provide complementary information about the world and are detected by specialized photoreceptors. However, the downstream neural circuits that process these distinct modalities are incompletely understood in any animal. Using electron microscopy, we have systematically reconstructed the synaptic targets of the photoreceptors specialized to detect color and skylight polarization in Drosophila, and we have used light microscopy to confirm many of our findings. We identified known and novel downstream targets that are selective for different wavelengths or polarized light, and followed their projections to other areas in the optic lobes and the central brain. Our results revealed many synapses along the photoreceptor axons between brain regions, new pathways in the optic lobes, and spatially segregated projections to central brain regions. Strikingly, photoreceptors in the polarization-sensitive dorsal rim area target fewer cell types, and lack strong connections to the lobula, a neuropil involved in color processing. Our reconstruction identifies shared wiring and modality-specific specializations for color and polarization vision, and provides a comprehensive view of the first steps of the pathways processing color and polarized light inputs.

}, issn = {2050-084X}, doi = {10.7554/eLife.71858}, author = {Kind, Emil and Longden, Kit D and Nern, Aljoscha and Zhao, Arthur and Sancer, Gizem and Flynn, Miriam A and Laughland, Connor W and Gezahegn, Bruck and Ludwig, Henrique Df and Thomson, Alex G and Obrusnik, Tessa and Alarc{\'o}n, Paula G and Dionne, Heather and Bock, Davi D and Rubin, Gerald M and Reiser, Michael B and Wernet, Mathias F} } @article {65816, title = {Cell types and neuronal circuitry underlying female aggression in Drosophila.}, journal = {eLife}, volume = {9}, year = {2020}, month = {2020 Nov 03}, abstract = {

Aggressive social interactions are used to compete for limited resources and are regulated by complex sensory cues and the organism{\textquoteright}s internal state. While both sexes exhibit aggression, its neuronal underpinnings are understudied in females. Here, we identify a population of sexually dimorphic aIPg neurons in the adult central brain whose optogenetic activation increased, and genetic inactivation reduced, female aggression. Analysis of GAL4 lines identified in an unbiased screen for increased female chasing behavior revealed the involvement of another sexually dimorphic neuron, pC1d, and implicated aIPg and pC1d neurons as core nodes regulating female aggression. Connectomic analysis demonstrated that aIPg neurons and pC1d are interconnected and suggest that aIPg neurons may exert part of their effect by gating the flow of visual information to descending neurons. Our work reveals important regulatory components of the neuronal circuitry that underlies female aggressive social interactions and provides tools for their manipulation.

}, issn = {2050-084X}, doi = {10.7554/eLife.58942}, author = {Schretter, Catherine E and Aso, Yoshi and Robie, Alice A and Dreher, Marisa and Dolan, Michael-John and Chen, Nan and Ito, Masayoshi and Yang, Tansy and Parekh, Ruchi and Branson, Kristin M and Rubin, Gerald M} } @article {65645, title = {Complete connectomic reconstruction of olfactory projection neurons in the fly brain.}, journal = {Current Biology}, volume = {30}, year = {2020}, month = {2020 Aug 17}, pages = {3183-99}, abstract = {

Nervous systems contain sensory neurons, local neurons, projection neurons, and motor neurons. To understand how these building blocks form whole circuits, we must distil these broad classes into neuronal cell types and describe their network connectivity. Using an electron micrograph dataset for an entire Drosophila melanogaster brain, we reconstruct the first complete inventory of olfactory projections connecting the antennal lobe, the insect analog of the mammalian olfactory bulb, to higher-order brain regions in an adult animal brain. We then connect this inventory to extant data in the literature, providing synaptic-resolution "holotypes" both for heavily investigated and previously unknown cell types. Projection neurons are approximately twice as numerous as reported by light level studies; cell types are stereotyped, but not identical, in cell and synapse numbers between brain hemispheres. The lateral horn, the insect analog of the mammalian cortical amygdala, is the main target for this olfactory information and has been shown to guide innate behavior. Here, we find new connectivity motifs, including axo-axonic connectivity between projection neurons, feedback, and lateral inhibition of these axons by a large population of neurons, and the convergence of different inputs, including non-olfactory inputs and memory-related feedback onto third-order olfactory neurons. These features are less prominent in the mushroom body calyx, the insect analog of the mammalian piriform cortex and a center for associative memory. Our work provides a complete neuroanatomical platform for future studies of the adult Drosophila olfactory system.

}, issn = {1879-0445}, doi = {10.1016/j.cub.2020.06.042}, author = {Bates, Alexander S and Schlegel, Philipp and Roberts, Ruair{\'\i} J V and Drummond, Nikolas and Tamimi, Imaan F M and Turnbull, Robert and Zhao, Xincheng and Marin, Elizabeth C and Popovici, Patricia D and Dhawan, Serene and Jamasb, Arian and Javier, Alexandre and Serratosa Capdevila, Laia and Li, Feng and Rubin, Gerald M and Waddell, Scott and Bock, Davi D and Costa, Marta and Jefferis, Gregory S X E} } @article {68507, title = {A connectome and analysis of the adult Drosophila central brain.}, journal = {Elife}, volume = {9}, year = {2020}, month = {2020 Sep 07}, abstract = {

The neural circuits responsible for animal behavior remain largely unknown. We summarize new methods and present the circuitry of a large fraction of the brain of the fruit fly . Improved methods include new procedures to prepare, image, align, segment, find synapses in, and proofread such large data sets. We define cell types, refine computational compartments, and provide an exhaustive atlas of cell examples and types, many of them novel. We provide detailed circuits consisting of neurons and their chemical synapses for most of the central brain. We make the data public and simplify access, reducing the effort needed to answer circuit questions, and provide procedures linking the neurons defined by our analysis with genetic reagents. Biologically, we examine distributions of connection strengths, neural motifs on different scales, electrical consequences of compartmentalization, and evidence that maximizing packing density is an important criterion in the evolution of the fly{\textquoteright}s brain.

}, keywords = {Animals, Brain, Connectome, Drosophila melanogaster, Female, Male, Neurons, Synapses}, issn = {2050-084X}, doi = {10.7554/eLife.57443}, author = {Scheffer, Louis K and Xu, C Shan and Januszewski, Michal and Lu, Zhiyuan and Takemura, Shin-ya and Hayworth, Kenneth J and Huang, Gary B and Shinomiya, Kazunori and Maitlin-Shepard, Jeremy and Berg, Stuart and Clements, Jody and Hubbard, Philip M and Katz, William T and Umayam, Lowell and Zhao, Ting and Ackerman, David and Blakely, Tim and Bogovic, John and Dolafi, Tom and Kainmueller, Dagmar and Kawase, Takashi and Khairy, Khaled A and Leavitt, Laramie and Li, Peter H and Lindsey, Larry and Neubarth, Nicole and Olbris, Donald J and Otsuna, Hideo and Trautman, Eric T and Ito, Masayoshi and Bates, Alexander S and Goldammer, Jens and Wolff, Tanya and Svirskas, Robert and Schlegel, Philipp and Neace, Erika and Knecht, Christopher J and Alvarado, Chelsea X and Bailey, Dennis A and Ballinger, Samantha and Borycz, Jolanta A and Canino, Brandon S and Cheatham, Natasha and Cook, Michael and Dreher, Marisa and Duclos, Octave and Eubanks, Bryon and Fairbanks, Kelli and Finley, Samantha and Forknall, Nora and Francis, Audrey and Hopkins, Gary Patrick and Joyce, Emily M and Kim, SungJin and Kirk, Nicole A and Kovalyak, Julie and Lauchie, Shirley A and Lohff, Alanna and Maldonado, Charli and Manley, Emily A and McLin, Sari and Mooney, Caroline and Ndama, Miatta and Ogundeyi, Omotara and Okeoma, Nneoma and Ordish, Christopher and Padilla, Nicholas and Patrick, Christopher M and Paterson, Tyler and Phillips, Elliott E and Phillips, Emily M and Rampally, Neha and Ribeiro, Caitlin and Robertson, Madelaine K and Rymer, Jon Thomson and Ryan, Sean M and Sammons, Megan and Scott, Anne K and Scott, Ashley L and Shinomiya, Aya and Smith, Claire and Smith, Kelsey and Smith, Natalie L and Sobeski, Margaret A and Suleiman, Alia and Swift, Jackie and Takemura, Satoko and Talebi, Iris and Tarnogorska, Dorota and Tenshaw, Emily and Tokhi, Temour and Walsh, John J and Yang, Tansy and Horne, Jane Anne and Li, Feng and Parekh, Ruchi and Rivlin, Patricia K and Jayaraman, Vivek and Costa, Marta and Jefferis, Gregory Sxe and Ito, Kei and Saalfeld, Stephan and George, Reed and Meinertzhagen, Ian A and Rubin, Gerald M and Hess, Harald F and Jain, Viren and Plaza, Stephen M} } @article {65899, title = {The connectome of the adult mushroom body provides insights into function.}, journal = {eLife}, volume = {9}, year = {2020}, month = {2020 Dec 14}, abstract = {

Making inferences about the computations performed by neuronal circuits from synapse-level connectivity maps is an emerging opportunity in neuroscience. The mushroom body (MB) is well positioned for developing and testing such an approach due to its conserved neuronal architecture, recently completed dense connectome, and extensive prior experimental studies of its roles in learning, memory and activity regulation. Here we identify new components of the MB circuit in , including extensive visual input and MB output neurons (MBONs) with direct connections to descending neurons. We find unexpected structure in sensory inputs, in the transfer of information about different sensory modalities to MBONs, and in the modulation of that transfer by dopaminergic neurons (DANs). We provide insights into the circuitry used to integrate MB outputs, connectivity between the MB and the central complex and inputs to DANs, including feedback from MBONs. Our results provide a foundation for further theoretical and experimental work.

}, issn = {2050-084X}, doi = {10.7554/eLife.62576}, author = {Li, Feng and Lindsey, Jack W and Marin, Elizabeth C and Otto, Nils and Dreher, Marisa and Dempsey, Georgia and Stark, Ildiko and Bates, Alexander S and Pleijzier, Markus William and Schlegel, Philipp and Nern, Aljoscha and Takemura, Shin-ya and Eckstein, Nils and Yang, Tansy and Francis, Audrey and Braun, Amalia and Parekh, Ruchi and Costa, Marta and Scheffer, Louis K and Aso, Yoshi and Jefferis, Gregory Sxe and Abbott, Larry F and Litwin-Kumar, Ashok and Waddell, Scott and Rubin, Gerald M} } @article {65282, title = {A genetic, genomic, and computational resource for exploring neural circuit function.}, journal = {eLife}, volume = {9}, year = {2020}, month = {2020 Jan 15}, abstract = {

The anatomy of many neural circuits is being characterized with increasing resolution, but their molecular properties remain mostly unknown. Here, we characterize gene expression patterns in distinct neural cell types of the visual system using genetic lines to access individual cell types, the TAPIN-seq method to measure their transcriptomes, and a probabilistic method to interpret these measurements. We used these tools to build a resource of high-resolution transcriptomes for 100 driver lines covering 67 cell types, available at http://www.opticlobe.com. Combining these transcriptomes with recently reported connectomes helps characterize how information is transmitted and processed across a range of scales, from individual synapses to circuit pathways. We describe examples that include identifying neurotransmitters, including cases of apparent co-release, generating functional hypotheses based on receptor expression, as well as identifying strong commonalities between different cell types.

}, issn = {2050-084X}, doi = {10.7554/eLife.50901}, author = {Davis, Fred P and Nern, Aljoscha and Picard, Serge and Reiser, Michael B and Rubin, Gerald M and Eddy, Sean R and Henry, Gilbert L} } @article {65738, title = {The mind of a mouse.}, journal = {Cell}, volume = {182}, year = {2020}, month = {2020 Sep 17}, pages = {1372-1376}, abstract = {

Large scientific projects in genomics and astronomy are influential not because they answer any single question but because they enable investigation of continuously arising new questions from the same data-rich sources. Advances in automated mapping of the brain{\textquoteright}s synaptic connections (connectomics) suggest that the complicated circuits underlying brain function are ripe for analysis. We discuss benefits of mapping a mouse brain at the level of synapses.

}, issn = {1097-4172}, doi = {10.1016/j.cell.2020.08.010}, author = {Abbott, Larry F and Bock, Davi D and Callaway, Edward M and Denk, Winfried and Dulac, Catherine and Fairhall, Adrienne L and Fiete, Ila and Harris, Kristen M and Helmstaedter, Moritz and Jain, Viren and Kasthuri, Narayanan and LeCun, Yann and Lichtman, Jeff W and Littlewood, Peter B and Luo, Liqun and Maunsell, John H R and Reid, R Clay and Rosen, Bruce R and Rubin, Gerald M and Sejnowski, Terrence J and Seung, H Sebastian and Svoboda, Karel and Tank, David W and Tsao, Doris and Van Essen, David C} } @article {65722, title = {The neuroanatomical ultrastructure and function of a biological ring attractor.}, journal = {Neuron}, volume = {108}, year = {2020}, month = {2020 Oct 14}, pages = {145-63}, abstract = {

Neural representations of head direction (HD) have been discovered in many species. Theoretical work has proposed that the dynamics associated with these representations are generated, maintained, and updated by recurrent network structures called ring attractors. We evaluated this theorized structure-function relationship by performing electron-microscopy-based circuit reconstruction and RNA profiling of identified cell types in the HD system of Drosophila melanogaster. We identified motifs that have been hypothesized to maintain the HD representation in darkness, update it when the animal turns, and tether it to visual cues. Functional studies provided support for the proposed roles of individual excitatory or inhibitory circuit elements in shaping activity. We also discovered recurrent connections between neuronal arbors with mixed pre- and postsynaptic specializations. Our results confirm that the Drosophila HD network contains the core components of a ring attractor while also revealing unpredicted structural features that might enhance the network{\textquoteright}s computational power.

}, issn = {1097-4199}, doi = {10.1016/j.neuron.2020.08.006}, author = {Turner-Evans, Daniel B and Jensen, Kristopher T and Ali, Saba and Paterson, Tyler and Sheridan, Arlo and Ray, Robert P and Wolff, Tanya and Lauritzen, J Scott and Rubin, Gerald M and Bock, Davi D and Jayaraman, Vivek} } @article {65847, title = {Spatial readout of visual looming in the central brain of Drosophila.}, journal = {eLife}, volume = {9}, year = {2020}, month = {2020 Nov 18}, abstract = {

Visual systems can exploit spatial correlations in the visual scene by using retinotopy. However, retinotopy is often lost, such as when visual pathways are integrated with other sensory modalities. How is spatial information processed outside of strictly visual brain areas? Here, we focused on visual looming responsive LC6 cells in , a population whose dendrites collectively cover the visual field, but whose axons form a single glomerulus-a structure without obvious retinotopic organization-in the central brain. We identified multiple cell types downstream of LC6 in the glomerulus and found that they more strongly respond to looming in different portions of the visual field, unexpectedly preserving spatial information. Through EM reconstruction of all LC6 synaptic inputs to the glomerulus, we found that LC6 and downstream cell types form circuits within the glomerulus that enable spatial readout of visual features and contralateral suppression-mechanisms that transform visual information for behavioral control.

}, issn = {2050-084X}, doi = {10.7554/eLife.57685}, author = {Morimoto, Mai M and Nern, Aljoscha and Zhao, Arthur and Rogers, Edward M and Wong, Allan and Isaacson, Mathew D and Bock, Davi and Rubin, Gerald M and Reiser, Michael B} } @article {65284, title = {Toward nanoscale localization of memory engrams in Drosophila.}, journal = {Journal of Neurogenetics}, volume = {34}, year = {2020}, month = {2020 Mar 01}, pages = {151-55}, abstract = {

The Mushroom Body (MB) is the primary location of stored associative memories in the Drosophila brain. We discuss recent advances in understanding the MB{\textquoteright}s neuronal circuits made using advanced light microscopic methods and cell-type-specific genetic tools. We also review how the compartmentalized nature of the MB{\textquoteright}s organization allows this brain area to form and store memories with widely different dynamics.

}, issn = {1563-5260}, doi = {10.1080/01677063.2020.1715973}, author = {Aso, Yoshinori and Rubin, Gerald M} } @article {64547, title = {Looking back and looking forward at Janelia.}, journal = {eLife}, volume = {8}, year = {2019}, month = {2019 Feb07}, pages = {e44826}, abstract = {

Starting a new research campus is a leap of faith. Only later, in the full measure of time, is it possible to take stock of what has worked and what could have been done better or differently. The Janelia Research Campus opened its doors 12 years ago. What has it achieved? What has it taught us? And where does Janelia go from here?

}, doi = {10.7554/eLife.44826}, author = {Rubin, Gerald M and O{\textquoteright}Shea, Erin K} } @article {64933, title = {Neurogenetic dissection of the lateral horn reveals major outputs, diverse behavioural functions, and interactions with the mushroom body.}, journal = {Elife}, volume = {8}, year = {2019}, month = {2019 May 21}, abstract = {

Animals exhibit innate behaviours to a variety of sensory stimuli including olfactory cues. In , one higher olfactory centre, the lateral horn (LH), is implicated in innate behaviour. However, our structural and functional understanding of the LH is scant, in large part due to a lack of sparse neurogenetic tools for this region. We generate a collection of split-GAL4 driver lines providing genetic access to 82 LH cell types. We use these to create an anatomical and neurotransmitter map of the LH and link this to EM connectomics data. We find ~30\% of LH projections converge with outputs from the mushroom body, site of olfactory learning and memory. Using optogenetic activation, we identify LH cell types that drive changes in valence behavior or specific locomotor programs. In summary, we have generated a resource for manipulating and mapping LH neurons, providing new insights into the circuit basis of innate and learned olfactory behavior.

}, issn = {2050-084X}, doi = {10.7554/eLife.43079}, author = {Dolan, Michael-John and Frechter, Shahar and Bates, Alexander Shakeel and Dan, Chuntao and Huoviala, Paavo and Roberts, Ruair{\'\i} Jv and Schlegel, Philipp and Dhawan, Serene and Tabano, Remy and Dionne, Heather and Christoforou, Christina and Close, Kari and Sutcliffe, Ben and Giuliani, Bianca and Li, Feng and Costa, Marta and Ihrke, Gudrun and Meissner, Geoffrey Wilson and Bock, Davi D and Aso, Yoshinori and Rubin, Gerald M and Jefferis, Gregory Sxe} } @article {65227, title = {Nitric oxide acts as a cotransmitter in a subset of dopaminergic neurons to diversify memory dynamics.}, journal = {eLife}, volume = {8}, year = {2019}, month = {2019 Nov 14}, abstract = {

Animals employ diverse learning rules and synaptic plasticity dynamics to record temporal and statistical information about the world. However, the molecular mechanisms underlying this diversity are poorly understood. The anatomically defined compartments of the insect mushroom body function as parallel units of associative learning, with different learning rates, memory decay dynamics and flexibility (Aso \& Rubin 2016). Here we show that nitric oxide (NO) acts as a neurotransmitter in a subset of dopaminergic neurons in . NO{\textquoteright}s effects develop more slowly than those of dopamine and depend on soluble guanylate cyclase in postsynaptic Kenyon cells. NO acts antagonistically to dopamine; it shortens memory retention and facilitates the rapid updating of memories. The interplay of NO and dopamine enables memories stored in local domains along Kenyon cell axons to be specialized for predicting the value of odors based only on recent events. Our results provide key mechanistic insights into how diverse memory dynamics are established in parallel memory systems.

}, issn = {2050-084X}, doi = {10.7554/eLife.49257}, author = {Aso, Yoshinori and Ray, Robert P and Long, Xi and Bushey, Daniel and Cichewicz, Karol and Ngo, Teri-Tb and Sharp, Brandi and Christoforou, Christina and Hu, Amy and Lemire, Andrew L and Tillberg, Paul and Hirsh, Jay and Litwin-Kumar, Ashok and Rubin, Gerald M} } @article {49434, title = {Communication from learned to innate olfactory processing centers is required for memory retrieval in Drosophila.}, journal = {Neuron}, volume = {100}, year = {2018}, month = {2018 Sep 19}, pages = {651-68}, abstract = {

The behavioral response to a sensory stimulus may depend on both learned and innate neuronal representations. How these circuits interact to produce appropriate behavior is unknown. In Drosophila, the lateral horn (LH) and mushroom body (MB) are thought to mediate innate and learned olfactory behavior, respectively, although LH function has not been tested directly. Here we identify two LH cell types (PD2a1 and PD2b1) that receive input from an MB output neuron required for recall of aversive olfactory memories. These neurons are required for aversive memory retrieval and modulated by training. Connectomics data demonstrate that PD2a1 and PD2b1 neurons also receive direct input from food odor-encoding neurons. Consistent with this, PD2a1 and PD2b1 are also necessary for unlearned attraction to some odors, indicating that these neurons have a dual behavioral role. This provides a circuit mechanism by which learned and innate olfactory information can interact in identified neurons to produce appropriate behavior.

}, issn = {1097-4199}, doi = {10.1016/j.neuron.2018.08.037}, author = {Dolan, Michael-John and Belliart-Gu{\'e}rin, Ghislain and Bates, Alexander Shakeel and Frechter, Shahar and Lampin-Saint-Amaux, Aur{\'e}lie and Aso, Yoshinori and Roberts, Ruair{\'\i} J V and Schlegel, Philipp and Wong, Allan and Hammad, Adnan and Bock, Davi and Rubin, Gerald M and Preat, Thomas and Placais, Pierre-Yves and Jefferis, Gregory S X E} } @article {49337, title = {Neuroarchitecture of the Drosophila central complex: A catalog of nodulus and asymmetrical body neurons and a revision of the protocerebral bridge catalog.}, journal = {Journal of Comparative Neurology}, year = {2018}, month = {2018 Aug 7}, abstract = {

The central complex, a set of neuropils in the center of the insect brain, plays a crucial role in spatial aspects of sensory integration and motor control. Stereotyped neurons interconnect these neuropils with one another and with accessory structures. We screened over 5000 Drosophila melanogaster GAL4 lines for expression in two neuropils, the noduli (NO) of the central complex and the asymmetrical body (AB), and used multicolor stochastic labelling to analyze the morphology, polarity and organization of individual cells in a subset of the GAL4 lines that showed expression in these neuropils. We identified nine NO and three AB cell types and describe them here. The morphology of the NO neurons suggests that they receive input primarily in the lateral accessory lobe and send output to each of the six paired noduli. We demonstrate that the AB is a bilateral structure which exhibits asymmetry in size between the left and right bodies. We show that the AB neurons directly connect the AB to the central complex and accessory neuropils, that they target both the left and right ABs, and that one cell type preferentially innervates the right AB. We propose that the AB be considered a central complex neuropil in Drosophila. Finally, we present highly restricted GAL4 lines for most identified protocerebral bridge, NO and AB cell types. These lines, generated using the split-GAL4 method, will facilitate anatomical studies, behavioral assays, and physiological experiments.\ 

}, doi = {10.1002/cne.24512}, author = {Wolff, Tanya and Rubin, Gerald M} } @article {48764, title = {A circuit node that integrates convergent input from neuromodulatory and social behavior-promoting neurons to control aggression in Drosophila.}, journal = {Neuron}, volume = {95}, year = {2017}, month = {2017 Aug 30}, pages = {1112-1128.e7}, abstract = {

Diffuse neuromodulatory systems such as norepinephrine (NE) control brain-wide states such as arousal, but whether they control complex social behaviors more specifically is not clear. Octopamine (OA), the insect homolog of NE, is known to promote both arousal and aggression. We have performed a\ systematic, unbiased screen to identify OA receptor-expressing neurons (OARNs) that control aggression in Drosophila. Our results uncover a tiny population of male-specific aSP2 neurons that mediate a specific influence of OA on aggression, independent of any effect on arousal. Unexpectedly, these neurons receive convergent input from OA neurons and P1 neurons, a population of FruM(+) neurons that promotes male courtship behavior. Behavioral epistasis experiments suggest that aSP2 neurons may constitute an integration node at which OAergic neuromodulation can bias the output of P1 neurons to favor aggression over inter-male courtship. These results have potential implications for thinking about\ the role of related neuromodulatory systems in mammals.

}, issn = {1097-4199}, doi = {10.1016/j.neuron.2017.08.017}, author = {Watanabe, Kiichi and Chiu, Hui and Pfeiffer, Barret D and Wong, Allan M and Hoopfer, Eric D and Rubin, Gerald M and Anderson, David J} } @article {48436, title = {The comprehensive connectome of a neural substrate for {\textquoteright}ON{\textquoteright} motion detection in Drosophila.}, journal = {eLife}, volume = {6}, year = {2017}, month = {2017 Apr 22}, abstract = {

Analysing computations in neural circuits often uses simplified models because the actual neuronal implementation is not known. For example, a problem in vision, how the eye detects image motion, has long been analysed using Hassenstein-Reichardt (HR) detector or Barlow-Levick (BL) models. These both simulate motion detection well, but the exact neuronal circuits undertaking these tasks remain elusive. We reconstructed a comprehensive connectome of the circuits of Drosophila{\textquoteright}s motion-sensing T4 cells using a novel EM technique. We uncover complex T4 inputs and reveal that putative excitatory inputs cluster at T4{\textquoteright}s dendrite shafts, while inhibitory inputs localize to the bases. Consistent with our previous study, we reveal that Mi1 and Tm3 cells provide most synaptic contacts onto T4. We are, however, unable to reproduce the spatial offset between these cells reported previously. Our comprehensive connectome reveals complex circuits that include candidate anatomical substrates for both HR and BL types of motion detectors.

}, issn = {2050-084X}, doi = {10.7554/eLife.24394}, author = {Takemura, Shin-ya and Nern, Aljoscha and Chklovskii, Dmitri B and Scheffer, Louis K and Rubin, Gerald M and Meinertzhagen, Ian A} } @article {48414, title = {The emergence of directional selectivity in the visual motion pathway of Drosophila.}, journal = {Neuron}, volume = {94}, year = {2017}, month = {2017 Apr 05}, pages = {168-182.e10}, abstract = {

The perception of visual motion is critical for animal navigation, and flies are a prominent model system for exploring this neural computation. In Drosophila, the T4 cells of the medulla are directionally selective and necessary for ON motion behavioral responses. To examine the emergence of directional selectivity, we developed genetic driver lines for the neuron types with the most synapses onto T4 cells. Using calcium imaging, we found that these neuron types are not directionally selective and that selectivity arises in the T4 dendrites. By silencing each input neuron type, we identified which neurons are necessary for T4 directional selectivity and ON motion behavioral responses. We then determined the sign of the connections between these neurons and T4 cells using neuronal photoactivation. Our results indicate a computational architecture for motion detection that is a hybrid of classic theoretical models.

}, issn = {1097-4199}, doi = {10.1016/j.neuron.2017.03.010}, author = {Strother, James A and Wu, Shiuan-Tze and Wong, Allan M and Nern, Aljoscha and Rogers, Edward M and Le, Jasmine Q and Rubin, Gerald M and Reiser, Michael B} } @article {48845, title = {Genetic reagents for making split-GAL4 lines in Drosophila.}, journal = {Genetics }, volume = {209}, year = {2017}, month = {2018 March}, pages = {31-5}, abstract = {

The ability to reproducibly target expression of transgenes to small, defined subsets of cells is a key experimental tool for understanding many biological processes. The Drosophila nervous system contains thousands of distinct cell types and it has generally not been possible to limit expression to one or a few cell types when using a single segment of genomic DNA as an enhancer to drive expression. Intersectional methods, in which expression of the transgene only occurs where two different enhancers overlap in their expression patterns, can be used to achieve the desired specificity. This report describes a set of over 2,800 transgenic lines for use with the split-GAL4 intersectional method.

}, doi = {10.1101/197509}, author = {Dionne, Heather and Hibbard, Karen L and Cavallaro, Amanda and Kao, Jui-Chun and Rubin, Gerald M} } @article {48252, title = {The glia of the adult Drosophila nervous system.}, journal = {Glia}, volume = {65}, year = {2017}, month = {2017 Jan 30}, pages = {606-38}, abstract = {

Glia play crucial roles in the development and homeostasis of the nervous system. While the GLIA in the Drosophila embryo have been well characterized, their study in the adult nervous system has been limited. Here, we present a detailed description of the glia in the adult nervous system, based on the analysis of some 500 glial drivers we identified within a collection of synthetic GAL4 lines. We find that glia make up \~{}10\% of the cells in the nervous system and envelop all compartments of neurons (soma, dendrites, axons) as well as the nervous system as a whole. Our morphological analysis suggests a set of simple rules governing the morphogenesis of glia and their interactions with other cells. All glial subtypes minimize contact with their glial neighbors but maximize their contact with neurons and adapt their macromorphology and micromorphology to the neuronal entities they envelop. Finally, glial cells show no obvious spatial organization or registration with neuronal entities. Our detailed description of all glial subtypes and their regional specializations, together with the powerful genetic toolkit we provide, will facilitate the functional analysis of glia in the mature nervous system. GLIA 2017.

}, issn = {1098-1136}, doi = {10.1002/glia.23115}, author = {Kremer, Malte C and Jung, Christophe and Batelli, Sara and Rubin, Gerald M and Gaul, Ulrike} } @article {48646, title = {Mapping the neural substrates of behavior.}, journal = {Cell}, volume = {170}, year = {2017}, month = {2017-07-13}, pages = {393-406}, abstract = {

Assigning behavioral functions to neural structures has long been a central goal in neuroscience and is a necessary first step toward a circuit-level understanding of how the brain generates behavior. Here, we map the neural substrates of locomotion and social behaviors for Drosophila melanogaster using automated machine-vision and machine-learning techniques. From videos of 400,000 flies, we quantified the behavioral effects of activating 2,204 genetically targeted populations of neurons. We combined a novel quantification of anatomy with our behavioral analysis to create brain-behavior correlation maps, which are shared as browsable web pages and interactive software. Based on these maps, we generated hypotheses of regions of the brain causally related to sensory processing, locomotor control, courtship, aggression, and sleep. Our maps directly specify genetic tools to target these regions, which we used to identify a small population of neurons with a role in the control of walking.

{\textbullet}We developed machine-vision methods to broadly and precisely quantify fly behavior{\textbullet}We measured effects of activating 2,204 genetically targeted neuronal populations{\textbullet}We created whole-brain maps of neural substrates of locomotor and social behaviors{\textbullet}We created resources for exploring our results and enabling further investigation

Machine-vision analyses of large behavior and neuroanatomy data reveal whole-brain maps of regions associated with numerous complex behaviors.

}, doi = {10.1016/j.cell.2017.06.032}, url = {http://dx.doi.org/10.1016/j.cell.2017.06.032}, author = {Robie, Alice A and Hirokawa, Jonathan and Edwards, Austin W and Umayam, Lowell A and Lee, Allen and Phillips, Mary L and Card, Gwyneth M and Korff, Wyatt and Rubin, Gerald M and Simpson, Julie H and Reiser, Michael B and Branson, Kristin M} } @article {48279, title = {Moonwalker descending neurons mediate visually evoked retreat in Drosophila.}, journal = {Current Biology : CB}, volume = {27}, year = {2017}, month = {2017 Mar 6}, pages = {766-71}, abstract = {

Insects, like most animals, tend to steer away from imminent threats [1-7]. Drosophila melanogaster, for example, generally initiate an escape take-off in response to a looming visual stimulus, mimicking a potential predator [8]. The escape response to a visual threat is, however, flexible [9-12] and can alternatively consist of walking backward away from the perceived threat [11], which may be a more effective response to ambush predators such as nymphal praying mantids [7]. Flexibility in escape behavior may also add an element of unpredictability that makes it difficult for predators to anticipate or learn the prey{\textquoteright}s likely response [3-6]. Whereas the fly{\textquoteright}s escape jump has been well studied [8, 9, 13-18], the neuronal underpinnings of evasive walking remain largely unexplored. We previously reported the identification of a cluster of descending neurons-the moonwalker descending neurons (MDNs)-the activity of which is necessary and sufficient to trigger backward walking [19], as well as a population of visual projection neurons-the lobula columnar 16 (LC16) cells-that respond to looming visual stimuli and elicit backward walking and turning [11]. Given the similarity of their activation phenotypes, we hypothesized that LC16 neurons induce backward walking via MDNs and that turning while walking backward might reflect asymmetric activation of the left and right MDNs. Here, we present data from functional imaging, behavioral epistasis, and unilateral activation experiments that support these hypotheses. We conclude that LC16 and MDNs are critical components of the neural circuit that transduces threatening visual stimuli into directional locomotor output.

}, issn = {1879-0445}, doi = {10.1016/j.cub.2017.02.008}, author = {Sen, Rajyashree and Wu, Ming and Branson, Kristin and Robie, Alice and Rubin, Gerald M and Dickson, Barry J} } @article {48494, title = {Representations of Novelty and Familiarity in a Mushroom Body Compartment.}, journal = {Cell}, volume = {169}, year = {2017}, month = {2017 May 09}, pages = {956-69}, abstract = {

Animals exhibit a behavioral response to novel sensory stimuli about which they have no prior knowledge. We have examined the neural and behavioral correlates of novelty and familiarity in the olfactory system of Drosophila. Novel odors elicit strong activity in output neurons (MBONs) of the α{\textquoteright}3 compartment of the mushroom body that is rapidly suppressed upon repeated exposure to the same odor. This transition in neural activity upon familiarization requires odor-evoked activity in the dopaminergic neuron innervating this compartment. Moreover, exposure of a fly to novel odors evokes an alerting response that can also be elicited by optogenetic activation of α{\textquoteright}3 MBONs. Silencing these MBONs eliminates the alerting behavior. These data suggest that the α{\textquoteright}3 compartment plays a causal role in the behavioral response to novel and familiar stimuli as a consequence of dopamine-mediated plasticity at the Kenyon cell-MBONα{\textquoteright}3 synapse.

}, issn = {1097-4172}, doi = {10.1016/j.cell.2017.04.028}, author = {Hattori, Daisuke and Aso, Yoshinori and Swartz, Kurtis J and Rubin, Gerald M and Abbott, L F and Axel, Richard} } @article {48934, title = {Ultra-selective looming detection from radial motion opponency.}, journal = {Nature}, volume = {551}, year = {2017}, month = {2017 Nov 08}, pages = {237-241}, abstract = {

Nervous systems combine lower-level sensory signals to detect higher-order stimulus features critical to survival, such as the visual looming motion created by an imminent collision or approaching predator. Looming-sensitive neurons have been identified in diverse animal species. Different large-scale visual features such as looming often share local cues, which means loom-detecting neurons face the challenge of rejecting confounding stimuli. Here we report the discovery of an ultra-selective looming detecting neuron, lobula plate/lobula columnar, type II (LPLC2) in Drosophila, and show how its selectivity is established by radial motion opponency. In the fly visual system, directionally selective small-field neurons called T4 and T5 form a spatial map in the lobula plate, where they each terminate in one of four retinotopic layers, such that each layer responds to motion in a different cardinal direction. Single-cell anatomical analysis reveals that each arm of the LPLC2 cross-shaped primary dendrites ramifies in one of these layers and extends along that layer{\textquoteright}s preferred motion direction. In vivo calcium imaging demonstrates that, as their shape predicts, individual LPLC2 neurons respond strongly to outward motion emanating from the centre of the neuron{\textquoteright}s receptive field. Each dendritic arm also receives local inhibitory inputs directionally selective for inward motion opposing the excitation. This radial motion opponency generates a balance of excitation and inhibition that makes LPLC2 non-responsive to related patterns of motion such as contraction, wide-field rotation or luminance change. As a population, LPLC2 neurons densely cover visual space and terminate onto the giant fibre descending neurons, which drive the jump muscle motor neuron to trigger an escape take off. Our findings provide a mechanistic description of the selective feature detection that flies use to discern and escape looming threats.

}, issn = {1476-4687}, doi = {10.1038/nature24626}, author = {Klapoetke, Nathan C and Nern, Aljoscha and Peek, Martin Y and Rogers, Edward M and Breads, Patrick and Rubin, Gerald M and Reiser, Michael B and Card, Gwyneth M} } @article {47434, title = {Direct neural pathways convey distinct visual information to Drosophila mushroom bodies.}, journal = {eLife}, volume = {5}, year = {2016}, month = {2016 Apr 15}, pages = {e14009}, abstract = {

Previously, we identified that visual and olfactory associative memories of Drosophila share the mushroom body (MB) circuits (Vogt et al. 2014). Despite well-characterized odor representations in the Drosophila MB, the MB circuit for visual information is totally unknown. Here we show that a small subset of MB Kenyon cells (KCs) selectively responds to visual but not olfactory stimulation. The dendrites of these atypical KCs form a ventral accessory calyx (vAC), distinct from the main calyx that receives olfactory input. We identified two types of visual projection neurons (VPNs) directly connecting the optic lobes and the vAC. Strikingly, these VPNs are differentially required for visual memories of color and brightness. The segregation of visual and olfactory domains in the MB allows independent processing of distinct sensory memories and may be a conserved form of sensory representations among insects.

}, issn = {2050-084X}, doi = {10.7554/eLife.14009}, author = {Vogt, Katrin and Aso, Yoshinori and Hige, Toshihide and Knapek, Stephan and Ichinose, Toshiharu and Friedrich, Anja B and Turner, Glenn C and Rubin, Gerald M and Tanimoto, Hiromu} } @article {47708, title = {Dopaminergic neurons write and update memories with cell-type-specific rules.}, journal = {eLife}, volume = {5}, year = {2016}, month = {2016 Jul 21}, pages = {e16135}, abstract = {

Associative learning is thought to involve parallel and distributed mechanisms of memory formation and storage. In Drosophila, the mushroom body (MB) is the major site of associative odor memory formation. Previously we described the anatomy of the adult MB and defined 20 types of dopaminergic neurons (DANs) that each innervate distinct MB compartments (Aso et al., 2014a; Aso et al., 2014b). Here we compare the properties of memories formed by optogenetic activation of individual DAN cell types. We found extensive differences in training requirements for memory formation, decay dynamics, storage capacity and flexibility to learn new associations. Even a single DAN cell type can either write or reduce an aversive memory, or write an appetitive memory, depending on when it is activated relative to odor delivery. Our results show that different learning rules are executed in seemingly parallel memory systems, providing multiple distinct circuit-based strategies to predict future events from past experiences.

}, issn = {2050-084X}, doi = {10.7554/eLife.16135}, author = {Aso, Yoshinori and Rubin, Gerald M} } @article {47965, title = {A new brain dopamine deficient Drosophila and its pharmacological and genetic rescue.}, journal = {Genes, Brain, and Behavior}, volume = {16}, year = {2016}, month = {2017 Mar.01 }, pages = {394-403}, abstract = {

Dopamine (DA) is a neurotransmitter with conserved behavioral roles between invertebrate and vertebrate animals. In addition to its neural functions, in insects DA is a critical substrate for cuticle pigmentation and hardening. Drosophila tyrosine hydroxylase (DTH) is the rate limiting enzyme for DA biosynthesis. Viable brain DA deficient flies were previously generated using tissue selective GAL4-UAS binary expression rescue of a DTH null mutation and these flies show specific behavioral impairments. To circumvent the limitations of rescue via binary expression, here we achieve rescue utilizing genomically integrated mutant DTH. As expected, our DA deficient flies have no detectable DTH or DA in the brain, and show reduced locomotor activity. This deficit can be rescued by L-DOPA/carbidopa feeding, similar to human Parkinson{\textquoteright}s disease treatment. Genetic rescue via GAL4/UAS-DTH was also successful, although this required the generation of a new UAS-DTH1 transgene devoid of most untranslated regions, since existing UAS-DTH transgenes express in the brain without a Gal4 driver via endogenous regulatory elements. A surprising finding of our newly constructed UAS-DTH1m is that it expresses DTH at an undetectable level when regulated by dopaminergic GAL4 drivers even when fully rescuing DA, indicating that DTH immunostaining is not necessarily a valid marker for DA expression. This finding necessitated optimizing DA immunohistochemistry, revealing details of DA innervation to the mushroom body and the central complex. When DA rescue is limited to specific DA neurons, DA does not diffuse beyond the DTH-expressing terminals, such that DA signaling can be limited to very specific brain regions.

}, issn = {1601-183X}, doi = {10.1111/gbb.12353}, author = {Cichewicz, Karol and Garren, Emma J and Adiele, Chika and Aso, Yoshinori and Wang, Zhang and Wu, Martin and Birman, Serge and Rubin, Gerald M and Hirsh, Jay} } @article {48136, title = {Visual projection neurons in the Drosophila lobula link feature detection to distinct behavioral programs.}, journal = {eLife}, volume = {5}, year = {2016}, month = {2016 Dec 28}, abstract = {

Visual projection neurons (VPNs) provide an anatomical connection between early visual processing and higher brain regions. Here we characterize lobula columnar (LC) cells, a class of Drosophila VPNs that project to distinct central brain structures called optic glomeruli. We anatomically describe 22 different LC types and show that, for several types, optogenetic activation in freely moving flies evokes specific behaviors. The activation phenotypes of two LC types closely resemble natural avoidance behaviors triggered by a visual loom. In vivo two-photon calcium imaging reveals that these LC types respond to looming stimuli, while another type does not, but instead responds to the motion of a small object. Activation of LC neurons on only one side of the brain can result in attractive or aversive turning behaviors depending on the cell type. Our results indicate that LC neurons convey information on the presence and location of visual features relevant for specific behaviors.

}, issn = {2050-084X}, doi = {10.7554/eLife.21022}, author = {Wu, Ming and Nern, Aljoscha and Williamson, W Ryan and Morimoto, Mai M and Reiser, Michael B and Card, Gwyneth M and Rubin, Gerald M} } @article {47214, title = {Control of sleep by dopaminergic inputs to the Drosophila mushroom body.}, journal = {Frontiers in Neural Circuits}, volume = {9}, year = {2015}, month = {2015 Nov 09}, pages = {73}, abstract = {

The Drosophila mushroom body (MB) is an associative learning network that is important for the control of sleep. We have recently identified particular intrinsic MB Kenyon cell (KC) classes that regulate sleep through synaptic activation of particular MB output neurons (MBONs) whose axons convey sleep control signals out of the MB to downstream target regions. Specifically, we found that sleep-promoting KCs increase sleep by preferentially activating cholinergic sleep-promoting MBONs, while wake-promoting KCs decrease sleep by preferentially activating glutamatergic wake-promoting MBONs. Here we use a combination of genetic and physiological approaches to identify wake-promoting dopaminergic neurons (DANs) that innervate the MB, and show that they activate wake-promoting MBONs. These studies reveal a dopaminergic sleep control mechanism that likely operates by modulation of KC-MBON microcircuits.

}, issn = {1662-5110}, doi = {10.3389/fncir.2015.00073}, author = {Sitaraman, Divya and Aso, Yoshinori and Rubin, Gerald M and Nitabach, Michael N} } @article {45979, title = {Distinct dopamine neurons mediate reward signals for short- and long-term memories.}, journal = {Proceedings of the National Academy of Sciences of the United States of America}, volume = {112}, year = {2015}, month = {2015 Jan 13}, pages = {578-83}, abstract = {

Drosophila melanogaster can acquire a stable appetitive olfactory memory when the presentation of a sugar reward and an odor are paired. However, the neuronal mechanisms by which a single training induces long-term memory are poorly understood. Here we show that two distinct subsets of dopamine neurons in the fly brain signal reward for short-term (STM) and long-term memories (LTM). One subset induces memory that decays within several hours, whereas the other induces memory that gradually develops after training. They convey reward signals to spatially segregated synaptic domains of the mushroom body (MB), a potential site for convergence. Furthermore, we identified a single type of dopamine neuron that conveys the reward signal to restricted subdomains of the mushroom body lobes and induces long-term memory. Constant appetitive memory retention after a single training session thus comprises two memory components triggered by distinct dopamine neurons.

}, issn = {1091-6490}, doi = {10.1073/pnas.1421930112}, author = {Yamagata, Nobuhiro and Ichinose, Toshiharu and Aso, Yoshinori and Placais, Pierre-Yves and Friedrich, Anja B and Sima, Richard J and Preat, Thomas and Rubin, Gerald M and Tanimoto, Hiromu} } @article {46773, title = {A dopamine-modulated neural circuit regulating aversive taste memory in Drosophila.}, journal = {Current Biology}, volume = {25}, year = {2015}, month = {2015 May 14}, pages = {1535-41}, abstract = {

Taste memories allow animals to modulate feeding behavior in accordance with past experience and avoid the consumption of potentially harmful food [1]. We have developed a single-fly taste memory assay to functionally interrogate the neural circuitry encoding taste memories [2]. Here, we screen a collection of Split-GAL4 lines that label small populations of neurons associated with the fly memory center-the mushroom bodies (MBs) [3]. Genetic silencing of PPL1 dopamine neurons disrupts conditioned, but not naive, feeding behavior, suggesting these neurons are selectively involved in the conditioned taste response. We identify two PPL1 subpopulations that innervate the MB α lobe and are essential for aversive taste memory. Thermogenetic activation of these dopamine neurons during training induces memory, indicating these neurons are sufficient for the reinforcing properties of bitter tastant to the MBs. Silencing of either the intrinsic MB neurons or the output neurons from the α lobe disrupts taste conditioning. Thermogenetic manipulation of these output neurons alters naive feeding response, suggesting that dopamine neurons modulate the threshold of response to appetitive tastants. Taken together, these findings detail a neural mechanism underlying the formation of taste memory and provide a functional model for dopamine-dependent plasticity in Drosophila.

}, issn = {1879-0445}, doi = {10.1016/j.cub.2015.04.027}, author = {Masek, Pavel and Worden, Kurtresha and Aso, Yoshinori and Rubin, Gerald M and Keene, Alex C} } @article {47180, title = {Heterosynaptic plasticity underlies aversive olfactory learning in Drosophila}, journal = {Neuron}, volume = {88}, year = {2015}, month = {2015 Dec 2}, pages = {985-98}, abstract = {

Although associative learning has been localized to specific brain areas in many animals, identifying the underlying synaptic processes in vivo has been difficult. Here, we provide the first demonstration of long-term synaptic plasticity at the output site of the Drosophila mushroom body. Pairing an odor with activation of specific dopamine neurons induces both learning and odor-specific synaptic depression. The plasticity induction strictly depends on the temporal order of the two stimuli, replicating the logical requirement for associative learning. Furthermore, we reveal that dopamine action is confined to and distinct across different anatomical compartments of the mushroom body lobes. Finally, we find that overlap between sparse representations of different odors defines both stimulus specificity of the plasticity and generalizability of associative memories across odors. Thus, the plasticity we find here not only manifests important features of associative learning but also provides general insights into how a sparse sensory code is read out.

}, doi = {10.1016/j.neuron.2015.11.003}, author = {Hige, Toshihide and Aso, Yoshinori and Modi, Mehrab and Rubin, Gerald M and Turner, Glenn C} } @article {46576, title = {High-performance probes for light and electron microscopy.}, journal = {Nature Methods}, volume = {12}, year = {2015}, month = {2015 Apr 27}, pages = {568-76}, abstract = {

We describe an engineered family of highly antigenic molecules based on GFP-like fluorescent proteins. These molecules contain numerous copies of peptide epitopes and simultaneously bind IgG antibodies at each location. These {\textquoteright}spaghetti monster{\textquoteright} fluorescent proteins (smFPs) distributed well in neurons, notably into small dendrites, spines and axons. smFP immunolabeling localized weakly expressed proteins not well resolved with traditional epitope tags. By varying epitope and scaffold, we generated a diverse family of mutually orthogonal antigens. In cultured neurons and mouse and fly brains, smFP probes allowed robust, orthogonal multicolor visualization of proteins, cell populations and neuropil. smFP variants complement existing tracers and greatly increase the number of simultaneous imaging channels, and they performed well in advanced preparations such as array tomography, super-resolution fluorescence imaging and electron microscopy. In living cells, the probes improved single-molecule image tracking and increased yield for RNA-seq. These probes facilitate new experiments in connectomics, transcriptomics and protein localization.

}, issn = {1548-7105}, doi = {10.1038/nmeth.3365}, author = {Viswanathan, Sarada and Williams, Megan E. and Bloss, Erik B. and Stasevich, Timothy J. and Speer, Colenso M. and Nern, Aljoscha and Pfeiffer, Barret D. and Hooks, Bryan M. and Li, Wei-Ping and English, Brian P. and Tian, Teresa and Henry, Gilbert L. and Macklin, John J. and Patel, Ronak and Gerfen, Charles R and Zhuang, Xiaowei and Wang, Yalin and Rubin, Gerald M and Looger, Loren L} } @article {46894, title = {Neural circuit to integrate opposing motions in the visual field.}, journal = {Cell}, volume = {162}, year = {2015}, month = {2015 Jul 16}, pages = {351-62}, abstract = {

When navigating in their environment, animals use visual motion cues as feedback signals that are elicited by their own motion. Such signals are provided by wide-field neurons sampling motion directions at multiple image points as the animal maneuvers. Each one of these neurons responds selectively to a specific optic flow-field representing the spatial distribution of motion vectors on the retina. Here, we describe the discovery of a group of local, inhibitory interneurons in the fruit fly Drosophila key for filtering these cues. Using anatomy, molecular characterization, activity manipulation, and physiological recordings, we demonstrate that these interneurons convey direction-selective inhibition to wide-field neurons with opposite preferred direction and provide evidence for how their connectivity enables the computation required for integrating opposing motions. Our\ results indicate that, rather than sharpening directional selectivity per se, these circuit elements reduce noise by eliminating non-specific responses to complex visual information.
{\textbullet}Discovery of bi-stratified glutamatergic lobula plate-intrinsic (LPi) interneurons{\textbullet}LPi neurons provide visual null direction inhibition to wide-field tangential cells{\textbullet}Blocking LPi activity leads to target neurons responding to inadequate motion cues{\textbullet}Motion opponency thus increases flow-field selectivity
Newly identified inhibitory neurons are central to an integrative circuit that enables Drosophila to process visual cues with opposite motions generated during flight. The neurons are required to discriminate between distinct complex motion patterns, indicating that neural processing of opposing cues can yield outcomes beyond the simple sum of two inputs.

}, doi = {10.1016/j.cell.2015.06.035}, author = {Mauss, Alex S and Pankova, Katarina and Arenz, Alexander and Nern, Aljoscha and Rubin, Gerald M and Borst, Alexander} } @article {46481, title = {Neuroarchitecture and neuroanatomy of the Drosophila central complex: A GAL4-based dissection of protocerebral bridge neurons and circuits. (Front cover)}, journal = {The Journal of Comparative Neurology}, volume = {523}, year = {2015}, month = {2015 May 1}, pages = {Spc1 (Front Cover)}, abstract = {

Insects exhibit an elaborate repertoire of behaviors in response to environmental stimuli. The central complex plays a key role in combining various modalities of sensory information with an insect{\textquoteright}s internal state and past experience to select appropriate responses. Progress has been made in understanding the broad spectrum of outputs from the central complex neuropils and circuits involved in numerous behaviors. Many resident neurons have also been identified. However, the specific roles of these intricate structures and the functional connections between them remain largely obscure. Significant gains rely on obtaining a comprehensive catalog of the neurons and associated GAL4 lines that arborize within these brain regions, and on mapping neuronal pathways connecting these structures. To this end, small populations of neurons in the Drosophila melanogaster central complex were stochastically labeled using the multicolor flip-out technique and a catalog was created of the neurons, their morphologies, trajectories, relative arrangements, and corresponding GAL4 lines. This report focuses on one structure of the central complex, the protocerebral bridge, and identifies just 17 morphologically distinct cell types that arborize in this structure. This work also provides new insights into the anatomical structure of the four components of the central complex and its accessory neuropils. Most strikingly, we found that the protocerebral bridge contains 18 glomeruli, not 16, as previously believed. Revised wiring diagrams that take into account this updated architectural design are presented. This updated map of the Drosophila central complex will facilitate a deeper behavioral and physiological dissection of this sophisticated set of structures. J. Comp. Neurol. 523:997-1037, 2015. {\textcopyright} 2014 Wiley Periodicals, Inc.

}, issn = {1096-9861}, doi = {10.1002/cne.23773}, author = {Wolff, Tanya and Iyer, Nirmala A and Rubin, Gerald M} } @article {46926, title = {Neuron hemilineages provide the functional ground plan for the Drosophila ventral nervous system.}, journal = {eLife}, volume = {4}, year = {2015}, month = {2015 Jul 20}, abstract = {

Drosophila central neurons arise from neuroblasts that generate neurons in a pair-wise fashion, with the two daughters providing the basis for distinct A and B hemilineage groups. Thirty three postembryonically-born hemilineages contribute over 90\% of the neurons in each thoracic hemisegment. We devised genetic approaches to define the anatomy of most of these hemilineages and to assessed their functional roles using the heat-sensitive channel dTRPA1. The simplest hemilineages contained local interneurons and their activation caused tonic or phasic leg movements lacking interlimb coordination. The next level was hemilineages of similar projection cells that drove intersegmentally coordinated behaviors such as walking. The highest level involved hemilineages whose activation elicited complex behaviors such as takeoff. These activation phenotypes indicate that the hemilineages vary in their behavioral roles with some contributing to local networks for sensorimotor processing and others having higher order functions of coordinating these local networks into complex behavior.

}, issn = {2050-084X}, doi = {10.7554/eLife.04493}, author = {Harris, Robin M and Pfeiffer, Barret D and Rubin, Gerald M and Truman, James W} } @article {46745, title = {Optimized tools for multicolor stochastic labeling reveal diverse stereotyped cell arrangements in the fly visual system.}, journal = {Proceedings of the National Academy of Sciences of the United States of America}, volume = {112}, year = {2015}, month = {2015 May 11}, pages = {E2967-76}, abstract = {

We describe the development and application of methods for high-throughput neuroanatomy in Drosophila using light microscopy. These tools enable efficient multicolor stochastic labeling of neurons at both low and high densities. Expression of multiple membrane-targeted and distinct epitope-tagged proteins is controlled both by a transcriptional driver and by stochastic, recombinase-mediated excision of transcription-terminating cassettes. This MultiColor FlpOut (MCFO) approach can be used to reveal cell shapes and relative cell positions and to track the progeny of precursor cells through development. Using two different recombinases, the number of cells labeled and the number of color combinations observed in those cells can be controlled separately. We demonstrate the utility of MCFO in a detailed study of diversity and variability of Distal medulla (Dm) neurons, multicolumnar local interneurons in the adult visual system. Similar to many brain regions, the medulla has a repetitive columnar structure that supports parallel information processing together with orthogonal layers of cell processes that enable communication between columns. We find that, within a medulla layer, processes of the cells of a given Dm neuron type form distinct patterns that reflect both the morphology of individual cells and the relative positions of their arbors. These stereotyped cell arrangements differ between cell types and can even differ for the processes of the same cell type in different medulla layers. This unexpected diversity of coverage patterns provides multiple independent ways of integrating visual information across the retinotopic columns and implies the existence of multiple developmental mechanisms that generate these distinct patterns.

}, issn = {1091-6490}, doi = {10.1073/pnas.1506763112}, author = {Nern, Aljoscha and Pfeiffer, Barret D and Rubin, Gerald M} } @article {47304, title = {P1 interneurons promote a persistent internal state that enhances inter-male aggression in Drosophila.}, journal = {eLife}, volume = {4}, year = {2015}, month = {2015 Dec 29}, abstract = {

How brains are hardwired to produce aggressive behavior, and how aggression circuits are related to those that mediate courtship, is not well understood. A large-scale screen for aggression-promoting neurons in Drosophila identified several independent hits that enhanced both inter-male aggression and courtship. Genetic intersections revealed that 8-10 P1 interneurons, previously thought to exclusively control male courtship, were sufficient to promote fighting. Optogenetic experiments indicated that P1 activation could promote aggression at a threshold below that required for wing extension. P1 activation in the absence of wing extension triggered persistent aggression via an internal state that could endure for minutes. High-frequency P1 activation promoted wing extension and suppressed aggression during photostimulation, whereas aggression resumed and wing extension was inhibited following photostimulation offset. Thus, P1 neuron activation promotes a latent, internal state that facilitates aggression and courtship, and controls the overt expression of these social behaviors in a threshold-dependent, inverse manner.

}, issn = {2050-084X}, doi = {10.7554/eLife.11346}, author = {Hoopfer, Eric D and Jung, Yonil and Inagaki, Hidehiko K and Rubin, Gerald M and Anderson, David J} } @article {47409, title = {Plasticity-driven individualization of olfactory coding in mushroom body output neurons.}, journal = {Nature}, volume = {526}, year = {2015}, month = {2015 Oct 8}, pages = {258-62}, abstract = {

Although all sensory circuits ascend to higher brain areas where stimuli are represented in sparse, stimulus-specific activity patterns, relatively little is known about sensory coding on the descending side of neural circuits, as a network converges. In insects, mushroom bodies have been an important model system for studying sparse coding in the olfactory system, where this format is important for accurate memory formation. In Drosophila, it has recently been shown that the 2,000 Kenyon cells of the mushroom body converge onto a population of only 34 mushroom body output neurons (MBONs), which fall into 21 anatomically distinct cell types. Here we provide the first, to our knowledge, comprehensive view of olfactory representations at the fourth layer of the circuit, where we find a clear transition in the principles of sensory coding. We show that MBON tuning curves are highly correlated with one another. This is in sharp contrast to the process of progressive decorrelation of tuning in the earlier layers of the circuit. Instead, at the population level, odour representations are reformatted so that positive and negative correlations arise between representations of different odours. At the single-cell level, we show that uniquely identifiable MBONs display profoundly different tuning across different animals, but that tuning of the same neuron across the two hemispheres of an individual fly was nearly identical. Thus, individualized coordination of tuning arises at this level of the olfactory circuit. Furthermore, we find that this individualization is an active process that requires a learning-related gene, rutabaga. Ultimately, neural circuits have to flexibly map highly stimulus-specific information in sparse layers onto a limited number of different motor outputs. The reformatting of sensory representations we observe here may mark the beginning of this sensory-motor transition in the olfactory system.

}, keywords = {Adenylyl Cyclases, Animals, Drosophila melanogaster, Drosophila Proteins, Female, Learning, Male, Mushroom Bodies, Mutation, Neuronal Plasticity, Neurons, Olfactory Pathways, Olfactory Perception, Psychomotor Performance}, issn = {1476-4687}, doi = {10.1038/nature15396}, author = {Hige, Toshihide and Aso, Yoshinori and Rubin, Gerald M and Turner, Glenn C} } @article {47202, title = {Propagation of homeostatic sleep signals by segregated synaptic microcircuits of the Drosophila mushroom body.}, journal = {Current Biology : CB}, volume = {25}, year = {2015}, month = {2015 Nov 16}, pages = {2915-27}, abstract = {

The Drosophila mushroom body (MB) is a key associative memory center that has also been implicated in the control of sleep. However, the identity of MB neurons underlying homeostatic sleep regulation, as well as the types of sleep signals generated by specific classes of MB neurons, has remained poorly understood. We recently identified two MB output neuron (MBON) classes whose axons convey sleep control signals from the MB to converge in the same downstream target region: a cholinergic sleep-promoting MBON class and a glutamatergic wake-promoting MBON class. Here, we deploy a combination of neurogenetic, behavioral, and physiological approaches to identify and mechanistically dissect sleep-controlling circuits of the MB. Our studies reveal the existence of two segregated excitatory synaptic microcircuits that propagate homeostatic sleep information from different populations of intrinsic MB\ "Kenyon cells" (KCs) to specific sleep-regulating MBONs: sleep-promoting KCs increase sleep by preferentially activating the cholinergic MBONs, while wake-promoting KCs decrease sleep by preferentially activating the glutamatergic MBONs. Importantly, activity of the sleep-promoting MB microcircuit is increased by sleep deprivation and is necessary for homeostatic rebound sleep (i.e., the increased sleep that occurs after, and in compensation for, sleep lost during deprivation). These studies reveal for the first time specific functional connections between subsets of KCs and particular MBONs and establish the identity of synaptic microcircuits underlying transmission of homeostatic sleep signals in the MB.

}, issn = {1879-0445}, doi = {10.1016/j.cub.2015.09.017}, author = {Sitaraman, Divya and Aso, Yoshinori and Jin, Xin and Chen, Nan and Felix, Mario and Rubin, Gerald M and Nitabach, Michael N} } @article {46499, title = {The Release 6 reference sequence of the Drosophila melanogaster genome.}, journal = {Genome Research}, volume = {25}, year = {2015}, month = {2015 Mar}, pages = {445-58}, abstract = {

Drosophila melanogaster plays an important role in molecular, genetic, and genomic studies of heredity, development, metabolism, behavior, and human disease. The initial reference genome sequence reported more than a decade ago had a profound impact on progress in Drosophila research, and improving the accuracy and completeness of this sequence continues to be important to further progress. We previously described improvement of the 117-Mb sequence in the euchromatic portion of the genome and 21 Mb in the heterochromatic portion, using a whole-genome shotgun assembly, BAC physical mapping, and clone-based finishing. Here, we report an improved reference sequence of the single-copy and middle-repetitive regions of the genome, produced using cytogenetic mapping to mitotic and polytene chromosomes, clone-based finishing and BAC fingerprint verification, ordering of scaffolds by alignment to cDNA sequences, incorporation of other map and sequence data, and validation by whole-genome optical restriction mapping. These data substantially improve the accuracy and completeness of the reference sequence and the order and orientation of sequence scaffolds into chromosome arm assemblies. Representation of the Y chromosome and other heterochromatic regions is particularly improved. The new 143.9-Mb reference sequence, designated Release 6, effectively exhausts clone-based technologies for mapping and sequencing. Highly repeat-rich regions, including large satellite blocks and functional elements such as the ribosomal RNA genes and the centromeres, are largely inaccessible to current sequencing and assembly methods and remain poorly represented. Further significant improvements will require sequencing technologies that do not depend on molecular cloning and that produce very long reads.

}, issn = {1549-5469}, doi = {10.1101/gr.185579.114}, author = {Hoskins, Roger A and Carlson, Joseph W and Wan, Kenneth H and Park, Soo and Mendez, Ivonne and Galle, Samuel E and Booth, Benjamin W and Pfeiffer, Barret D and George, Reed A and Svirskas, Robert and Krzywinski, Martin and Schein, Jacqueline and Accardo, Maria Carmela and Damia, Elisabetta and Messina, Giovanni and Mendez-Lago, Maria and de Pablos, Beatriz and Demakova, Olga V and Andreyeva, Evgeniya N and Boldyreva, Lidiya V and Marra, Marco and Carvalho, A Bernardo and Dimitri, Patrizio and Villasante, Alfredo and Zhimulev, Igor F and Rubin, Gerald M and Karpen, Gary H and Celniker, Susan E} } @article {47182, title = {Reward signal in a recurrent circuit drives appetitive long-term memory formation.}, journal = {eLife}, volume = {4}, year = {2015}, month = {2015 Nov 18}, abstract = {

Dopamine signals reward in animal brains. A single presentation of a sugar reward to Drosophila activates distinct subsets of dopamine neurons that independently induce short- and long-term olfactory memories (STM and LTM, respectively). In this study, we show that a recurrent reward circuit underlies the formation and consolidation of LTM. This feedback circuit is composed of a single class of reward-signaling dopamine neurons (PAM-α1) projecting to a restricted region of the mushroom body (MB), and a specific MB output cell type, MBON-α1, whose dendrites arborize that same MB compartment. Both MBON-α1 and PAM-α1 neurons are required during the acquisition and consolidation of appetitive LTM. MBON-α1 additionally mediates the retrieval of LTM, which is dependent on the dopamine receptor signaling in the MB α/β neurons. Our results suggest that a reward signal transforms a nascent memory trace into a stable LTM using a feedback circuit at the cost of memory specificity.

}, issn = {2050-084X}, doi = {10.7554/eLife.10719}, author = {Ichinose, Toshiharu and Aso, Yoshinori and Yamagata, Nobuhiro and Abe, Ayako and Rubin, Gerald M and Tanimoto, Hiromu} } @article {45811, title = {Mushroom body output neurons encode valence and guide memory-based action selection in Drosophila.}, journal = {eLife}, volume = {4}, year = {2014}, month = {12/2014}, abstract = {

Animals discriminate stimuli, learn their predictive value and use this knowledge to modify their behavior. In Drosophila, the mushroom body (MB) plays a key role in these processes. Sensory stimuli are sparsely represented by \~{}2000 Kenyon cells, which converge onto 34 output neurons (MBONs) of 21 types. We studied the role of MBONs in several associative learning tasks and in sleep regulation, revealing the extent to which information flow is segregated into distinct channels and suggesting possible roles for the multi-layered MBON network. We also show that optogenetic activation of MBONs can, depending on cell type, induce repulsion or attraction in flies. The behavioral effects of MBON perturbation are combinatorial, suggesting that the MBON ensemble collectively represents valence. We propose that local, stimulus-specific dopaminergic modulation selectively alters the balance within the MBON network for those stimuli. Our results suggest that valence encoded by the MBON ensemble biases memory-based action selection.

}, issn = {2050-084X}, doi = {10.7554/eLife.04580}, author = {Aso, Yoshinori and Sitaraman, Divya and Ichinose, Toshiharu and Kaun, Karla R and Vogt, Katrin and Belliart-Gu{\'e}rin, Ghislain and Placais, Pierre-Yves and Robie, Alice A and Yamagata, Nobuhiro and Schnaitmann, Christopher and Rowell, William J and Johnston, Rebecca M and Ngo, Teri-T B and Chen, Nan and Korff, Wyatt and Nitabach, Michael N and Heberlein, Ulrike and Preat, Thomas and Branson, Kristin M and Tanimoto, Hiromu and Rubin, Gerald M} } @article {45810, title = {The neuronal architecture of the mushroom body provides a logic for associative learning.}, journal = {eLife}, volume = {3}, year = {2014}, month = {2014 Dec 23}, abstract = {

We identified the neurons comprising the Drosophila mushroom body (MB), an associative center in invertebrate brains, and provide a comprehensive map describing their potential connections. Each of the 21 MB output neuron (MBON) types elaborates segregated dendritic arbors along the parallel axons of \~{}2000 Kenyon cells, forming 15 compartments that collectively tile the MB lobes. MBON axons project to five discrete neuropils outside of the MB and three MBON types form a feedforward network in the lobes. Each of the 20 dopaminergic neuron (DAN) types projects axons to one, or at most two, of the MBON compartments. Convergence of DAN axons on compartmentalized Kenyon cell-MBON synapses creates a highly ordered unit that can support learning to impose valence on sensory representations. The elucidation of the complement of neurons of the MB provides a comprehensive anatomical substrate from which one can infer a functional logic of associative olfactory learning and memory.

}, issn = {2050-084X}, doi = {10.7554/eLife.04577}, author = {Aso, Yoshinori and Hattori, Daisuke and Yu, Yang and Johnston, Rebecca M and Iyer, Nirmala A and Ngo, Teri-Tb and Dionne, Heather and Abbott, Lf and Axel, Richard and Tanimoto, Hiromu and Rubin, Gerald M} } @article {45416, title = {Shared mushroom body circuits underlie visual and olfactory memories in Drosophila.}, journal = {eLife}, volume = {3}, year = {2014}, month = {2014}, pages = {e02395}, abstract = {

In nature, animals form memories associating reward or punishment with stimuli from different sensory modalities, such as smells and colors. It is unclear, however, how distinct sensory memories are processed in the brain. We established appetitive and aversive visual learning assays for Drosophila that are comparable to the widely used olfactory learning assays. These assays share critical features, such as reinforcing stimuli (sugar reward and electric shock punishment), and allow direct comparison of the cellular requirements for visual and olfactory memories. We found that the same subsets of dopamine neurons drive formation of both sensory memories. Furthermore, distinct yet partially overlapping subsets of mushroom body intrinsic neurons are required for visual and olfactory memories. Thus, our results suggest that distinct sensory memories are processed in a common brain center. Such centralization of related brain functions is an economical design that avoids the repetition of similar circuit motifs.

}, issn = {2050-084X}, doi = {10.7554/eLife.02395}, author = {Vogt, Katrin and Schnaitmann, Christopher and Dylla, Kristina V and Knapek, Stephan and Aso, Yoshinori and Rubin, Gerald M and Tanimoto, Hiromu} } @article {45176, title = {Wide-field feedback neurons dynamically tune early visual processing.}, journal = {Neuron}, volume = {82}, year = {2014}, month = {2014 May 21}, pages = {887-95}, abstract = {

An important strategy for efficient neural coding is to match the range of cellular responses to the distribution of relevant input signals. However, the structure and relevance of sensory signals depend on behavioral state. Here, we show that behavior modifies neural activity at the earliest stages of fly vision. We describe a class of wide-field neurons that provide feedback to the most peripheral layer of the Drosophila visual system, the lamina. Using in vivo patch-clamp electrophysiology, we found that lamina wide-field neurons respond to low-frequency luminance fluctuations. Recordings in flying flies revealed that the gain and frequency tuning of wide-field neurons change during flight, and that these effects are mimicked by the neuromodulator octopamine. Genetically silencing wide-field neurons increased behavioral responses to slow-motion stimuli. Together, these findings identify a cell type that is gated by behavior to enhance neural coding by subtracting low-frequency signals from the inputs to motion detection circuits.

}, keywords = {Adrenergic alpha-Agonists, Anesthetics, Local, Animals, Animals, Genetically Modified, Brain, Choline O-Acetyltransferase, Drosophila, Drosophila Proteins, Feedback, Sensory, Flight, Animal, Green Fluorescent Proteins, Membrane Potentials, Motion Perception, Neurons, Octopamine, Photic Stimulation, Tetrodotoxin, Transcription Factors, Visual Pathways}, issn = {1097-4199}, doi = {10.1016/j.neuron.2014.04.023}, author = {Tuthill, John C and Nern, Aljoscha and Rubin, Gerald M and Reiser, Michael B} } @article {6091, title = {Contributions of the 12 neuron classes in the fly lamina to motion vision.}, journal = {Neuron}, volume = {79}, year = {2013}, month = {07/2013}, pages = {128-140}, abstract = {

Motion detection is a fundamental neural computation performed by many sensory systems. In the fly, local motion computation is thought to occur within the first two layers of the visual system, the lamina and medulla. We constructed specific genetic driver lines for each of the 12 neuron classes in the lamina. We then depolarized and hyperpolarized each neuron type and quantified fly behavioral responses to a diverse set of motion stimuli. We found that only a small number of lamina output neurons are essential for motion detection, while most neurons serve to sculpt and enhance these feedforward pathways. Two classes of feedback neurons (C2 and C3), and lamina output neurons (L2 and L4), are required for normal detection of directional motion stimuli. Our results reveal a prominent role for feedback and lateral interactions in motion processing and demonstrate that motion-dependent behaviors rely on contributions from nearly all lamina neuron classes.

}, doi = {http://dx.doi.org/10.1016/j.neuron.2013.05.024}, author = {Tuthill, John C and Nern, Aljoscha and Stephen L. Holtz and Rubin, Gerald M and Reiser, Michael B} } @article {6275, title = {A directional tuning map of Drosophila elementary motion detectors.}, journal = {Nature}, volume = {500}, year = {2013}, month = {2013 Aug 8}, pages = {212-6}, abstract = {

The extraction of directional motion information from changing retinal images is one of the earliest and most important processing steps in any visual system. In the fly optic lobe, two parallel processing streams have been anatomically described, leading from two first-order interneurons, L1 and L2, via T4 and T5 cells onto large, wide-field motion-sensitive interneurons of the lobula plate. Therefore, T4 and T5 cells are thought to have a pivotal role in motion processing; however, owing to their small size, it is difficult to obtain electrical recordings of T4 and T5 cells, leaving their visual response properties largely unknown. We circumvent this problem by means of optical recording from these cells in Drosophila, using the genetically encoded calcium indicator GCaMP5 (ref. 2). Here we find that specific subpopulations of T4 and T5 cells are directionally tuned to one of the four cardinal directions; that is, front-to-back, back-to-front, upwards and downwards. Depending on their preferred direction, T4 and T5 cells terminate in specific sublayers of the lobula plate. T4 and T5 functionally segregate with respect to contrast polarity: whereas T4 cells selectively respond to moving brightness increments (ON edges), T5 cells only respond to moving brightness decrements (OFF edges). When the output from T4 or T5 cells is blocked, the responses of postsynaptic lobula plate neurons to moving ON (T4 block) or OFF edges (T5 block) are selectively compromised. The same effects are seen in turning responses of tethered walking flies. Thus, starting with L1 and L2, the visual input is split into separate ON and OFF pathways, and motion along all four cardinal directions is computed separately within each pathway. The output of these eight different motion detectors is then sorted such that ON (T4) and OFF (T5) motion detectors with the same directional tuning converge in the same layer of the lobula plate, jointly providing the input to downstream circuits and motion-driven behaviours.

}, keywords = {Animal, Animals, Behavior, Drosophila, Interneurons, Locomotion, Motion Perception, Neurons, Signal Transduction, Visual Pathways}, issn = {1476-4687}, doi = {10.1038/nature12320}, author = {Maisak, Matthew S and Haag, Juergen and Ammer, Georg and Serbe, Etienne and Meier, Matthias and Leonhardt, Aljoscha and Schilling, Tabea and Bahl, Armin and Rubin, Gerald M and Nern, Aljoscha and Dickson, Barry J and Reiff, Dierk F and Hopp, Elisabeth and Borst, Alexander} } @article {6178, title = {A visual motion detection circuit suggested by Drosophila connectomics.}, journal = {Nature}, volume = {500}, year = {2013}, month = {2013 Aug 7}, pages = {175{\textendash}81}, abstract = {

Animal behaviour arises from computations in neuronal circuits, but our understanding of these computations has been frustrated by the lack of detailed synaptic connection maps, or connectomes. For example, despite intensive investigations over half a century, the neuronal implementation of local motion detection in the insect visual system remains elusive. Here we develop a semi-automated pipeline using electron microscopy to reconstruct a connectome, containing 379 neurons and 8,637 chemical synaptic contacts, within the Drosophila optic medulla. By matching reconstructed neurons to examples from light microscopy, we assigned neurons to cell types and assembled a connectome of the repeating module of the medulla. Within this module, we identified cell types constituting a motion detection circuit, and showed that the connections onto individual motion-sensitive neurons in this circuit were consistent with their direction selectivity. Our results identify cellular targets for future functional investigations, and demonstrate that connectomes can provide key insights into neuronal computations.

}, issn = {1476-4687}, doi = {doi:10.1038/nature12450}, url = {http://www.nature.com/nature/journal/v500/n7461/full/nature12450.html}, author = {Takemura, Shin-ya and Bharioke, Arjun and Lu, Zhiyuan and Nern, Aljoscha and Vitaladevuni, Shiv and Rivlin, Patricia K. and Katz, William T. and Olbris, Donald J. and Plaza, Stephen M and Winston, Philip and Zhao, Ting and Horne, Jane Anne and Fetter, Richard D and Takemura, Satoko and Blazek, Katerina and Chang, Lei-Ann and Ogundeyi, Omotara and Saunders, Mathew A. and Shapiro, Victor and Sigmund, Christopher and Rubin, Gerald M and Scheffer, Louis K and Meinertzhagen, Ian A. and Chklovskii, Dmitri B} } @article {6286, title = {The effort to make mosaic analysis a household tool.}, journal = {Development}, volume = {139}, year = {2012}, month = {2012 Dec}, pages = {4501-3}, abstract = {

The analysis of genetic mosaics, in which an animal carries populations of cells with differing genotypes, is a powerful tool for understanding developmental and cell biology. In 1990, we set out to improve the methods used to make genetic mosaics in Drosophila by taking advantage of recently developed approaches for genome engineering. These efforts led to the work described in our 1993 Development paper.

}, keywords = {Animals, Biological, DNA Nucleotidyltransferases, Drosophila, Genetic, Genetic Testing, Genetically Modified, Genome, Mice, Models, Mosaicism, Recombination}, issn = {1477-9129}, doi = {10.1242/dev.085183}, author = {Xu, Tian and Rubin, Gerald M} } @article {5423, title = {A GAL4-driver line resource for Drosophila neurobiology.}, journal = {Cell Reports}, volume = {2}, year = {2012}, month = {2012 Oct 25}, pages = {991-1001}, abstract = {

We established a collection of 7,000 transgenic lines of Drosophila melanogaster. Expression of GAL4 in each line is controlled by a different, defined fragment of genomic DNA that serves as a transcriptional enhancer. We used confocal microscopy of dissected nervous systems to determine the expression patterns driven by each fragment in the adult brain and ventral nerve cord. We present image data on 6,650 lines. Using both manual and machine-assisted annotation, we describe the expression patterns in the most useful lines. We illustrate the utility of these data for identifying novel neuronal cell types, revealing brain asymmetry, and describing the nature and extent of neuronal shape stereotypy. The GAL4 lines allow expression of exogenous genes in distinct, small subsets of the adult nervous system. The set of DNA fragments, each driving a documented expression pattern, will facilitate the generation of additional constructs for manipulating neuronal function. synapse was substantially elevated, at the endocytic zone there was no enhanced polymerization activity. We conclude that actin subserves spatially diverse, independently regulated processes throughout spines. Perisynaptic actin forms a uniquely dynamic structure well suited for direct, active regulation of the synapse.

For the overall strategy and methods used to produce the GAL4 lines:
Pfeiffer, B.D., Jenett, A., Hammonds, A.S., Ngo, T.T., Misra, S., Murphy, C., Scully, A., Carlson, J.W., Wan, K.H., Laverty, T.R., Mungall, C., Svirskas, R., Kadonaga, J.T., Doe, C.Q., Eisen, M.B., Celniker, S.E., Rubin, G.M. (2008). Tools for neuroanatomy and neurogenetics in Drosophila. Proc. Natl. Acad. Sci. USA 105, 9715-9720. http://www.pnas.org/content/105/28/9715.full.pdf+html synapse was substantially elevated, at the endocytic zone there was no enhanced polymerization activity. We conclude that actin subserves spatially diverse, independently regulated processes throughout spines. Perisynaptic actin forms a uniquely dynamic structure well suited for direct, active regulation of the synapse.

For data on expression in the embryo:
Manning, L., Purice, M.D., Roberts, J., Pollard, J.L., Bennett, A.L., Kroll, J.R., Dyukareva, A.V., Doan, P.N., Lupton, J.R., Strader, M.E., Tanner, S., Bauer, D., Wilbur, A., Tran, K.D., Laverty, T.R., Pearson, J.C., Crews, S.T., Rubin, G.M., and Doe, C.Q. (2012) Annotated embryonic CNS expression patterns of 5000 GMR GAL4 lines: a resource for manipulating gene expression and analyzing cis-regulatory motifs. Cell Reports (2012) Doi: 10.1016/j.celrep.2012.09.009 http://www.cell.com/cell-reports/fulltext/S2211-1247(12)00290-2 synapse was substantially elevated, at the endocytic zone there was no enhanced polymerization activity. We conclude that actin subserves spatially diverse, independently regulated processes throughout spines. Perisynaptic actin forms a uniquely dynamic structure well suited for direct, active regulation of the synapse.

For data on expression in imaginal discs:
Jory, A., Estella, C., Giorgianni, M.W., Slattery, M., Laverty, T.R., Rubin, G.M., and Mann, R.S. (2012) A survey of 6300 genomic fragments for cis-regulatory activity in the imaginal discs of Drosophila melanogaster. Cell Reports (2012) Doi: 10.1016/j.celrep.2012.09.010 http://www.cell.com/cell-reports/fulltext/S2211-1247(12)00291-4 synapse was substantially elevated, at the endocytic zone there was no enhanced polymerization activity. We conclude that actin subserves spatially diverse, independently regulated processes throughout spines. Perisynaptic actin forms a uniquely dynamic structure well suited for direct, active regulation of the synapse.

For data on expression in the larval nervous system:
Li, H.-H., Kroll, J.R., Lennox, S., Ogundeyi, O., Jeter, J., Depasquale, G., and Truman, J.W. (2013) A GAL4 driver resource for developmental and behavioral studies on the larval CNS of Drosophila. Cell Reports (submitted).

}, issn = {2211-1247}, doi = {10.1016/j.celrep.2012.09.011}, author = {Jenett, Arnim and Rubin, Gerald M and Ngo, Teri-T B and Shepherd, David and Murphy, Christine and Dionne, Heather and Pfeiffer, Barret D and Cavallaro, Amanda and Hall, Donald and Jeter, Jennifer and Iyer, Nirmala and Fetter, Dona and Hausenfluck, Joanna H and Peng, Hanchuan and Trautman, Eric T and Svirskas, Robert R and Myers, Eugene W and Iwinski, Zbigniew R and Aso, Yoshinori and Depasquale, Gina M and Enos, Adrianne and Hulamm, Phuson and Lam, Shing Chun Benny and Li, Hsing-Hsi and Laverty, Todd R and Long, Fuhui and Qu, Lei and Murphy, Sean D and Rokicki, Konrad and Safford, Todd and Shaw, Kshiti and Simpson, Julie H and Sowell, Allison and Tae, Susana and Yu, Yang and Zugates, Christopher T} } @article {6515, title = {A resource for manipulating gene expression and analyzing cis-regulatory modules in the Drosophila CNS.}, journal = {Cell Reports}, volume = {2}, year = {2012}, month = {2012 Oct 25}, pages = {1002-13}, abstract = {

Here, we describe the embryonic central nervous system expression of 5,000 GAL4 lines made using molecularly defined cis-regulatory DNA inserted into a single attP genomic location. We document and annotate the patterns in early embryos when neurogenesis is at its peak, and in older embryos where there is maximal neuronal diversity and the first neural circuits are established. We note expression in other tissues, such as the lateral body wall (muscle, sensory neurons, and trachea) and viscera. Companion papers report on the adult brain and larval imaginal discs, and the integrated data sets\ are available online (http://www.janelia.org/gal4-gen1). This collection of embryonically expressed GAL4 lines will be valuable for determining neuronal morphology and function. The 1,862 lines expressed in small subsets of neurons (\<20/segment) will be especially valuable for characterizing\ interneuronal diversity and function, because although interneurons comprise the majority of all central nervous system neurons, their gene expression profile and function remain virtually unexplored.

}, keywords = {Animals, Central Nervous System, Databases, Drosophila, Drosophila Proteins, Embryo, Factual, Female, Gene Expression, Genes, Genetically Modified, Internet, Male, Nonmammalian, Regulatory Elements, Reporter, Transcription Factors, Transcriptional}, issn = {2211-1247}, doi = {10.1016/j.celrep.2012.09.009}, author = {Manning, Laurina and Heckscher, Ellie S and Purice, Maria D and Roberts, Jourdain and Bennett, Alysha L and Kroll, Jason R and Pollard, Jill L and Strader, Marie E and Lupton, Josh R and Dyukareva, Anna V and Doan, Phuong Nam and Bauer, David M and Wilbur, Allison N and Tanner, Stephanie and Kelly, Jimmy J and Lai, Sen-Lin and Tran, Khoa D and Kohwi, Minoree and Laverty, Todd R and Pearson, Joseph C and Crews, Stephen T and Rubin, Gerald M and Doe, Chris Q} } @article {6300, title = {A subset of dopamine neurons signals reward for odour memory in Drosophila.}, journal = {Nature}, volume = {488}, year = {2012}, month = {2012 Aug 23}, pages = {512-6}, abstract = {

Animals approach stimuli that predict a pleasant outcome. After the paired presentation of an odour and a reward, Drosophila melanogaster can develop a conditioned approach towards that odour. Despite recent advances in understanding the neural circuits for associative memory and appetitive motivation, the cellular mechanisms for reward processing in the fly brain are unknown. Here we show that a group of dopamine neurons in the protocerebral anterior medial (PAM) cluster signals sugar reward by transient activation and inactivation of target neurons in intact behaving flies. These dopamine neurons are selectively required for the reinforcing property of, but not a reflexive response to, the sugar stimulus. In vivo calcium imaging revealed that these neurons are activated by sugar ingestion and the activation is increased on starvation. The output sites of the PAM neurons are mainly localized to the medial lobes of the mushroom bodies (MBs), where appetitive olfactory associative memory is formed. We therefore propose that the PAM cluster neurons endow a positive predictive value to the odour in the MBs. Dopamine in insects is known to mediate aversive reinforcement signals. Our results highlight the cellular specificity underlying the various roles of dopamine and the importance of spatially segregated local circuits within the MBs.

}, keywords = {Animals, Appetitive Behavior, Calcium Signaling, Dendrites, Dopamine, Dopaminergic Neurons, Drosophila melanogaster, Memory, Mushroom Bodies, Odors, Reward, Smell}, issn = {1476-4687}, doi = {10.1038/nature11304}, author = {Liu, Chang and Placais, Pierre-Yves and Yamagata, Nobuhiro and Pfeiffer, Barret D and Aso, Yoshinori and Friedrich, Anja B and Siwanowicz, Igor and Rubin, Gerald M and Preat, Thomas and Tanimoto, Hiromu} } @article {6506, title = {A survey of 6,300 genomic fragments for cis-regulatory activity in the imaginal discs of Drosophila melanogaster.}, journal = {Cell Reports}, volume = {2}, year = {2012}, month = {2012 Oct 25}, pages = {1014-24}, abstract = {

Over 6,000 fragments from the genome of Drosophila melanogaster were analyzed for their ability to drive expression of GAL4 reporter genes in the third-instar larval imaginal discs. About 1,200 reporter genes drove expression in the eye, antenna, leg, wing, haltere, or genital imaginal discs. The patterns ranged from large regions to individual cells. About 75\% of the active fragments drove expression in multiple discs; 20\% were expressed in ventral, but not dorsal, discs (legs, genital, and antenna), whereas \~{}23\% were expressed in dorsal but not ventral discs (wing, haltere, and eye). Several patterns, for example, within the leg chordotonal organ, appeared a surprisingly large\ number of times. Unbiased searches for DNA sequence motifs suggest candidate transcription factors that may regulate enhancers with shared activities. Together, these expression patterns provide a valuable resource to the community and offer a broad overview of how transcriptional regulatory information is distributed in the Drosophila genome.

}, keywords = {Animals, Arthropod Antennae, Blastodisc, Databases, Drosophila melanogaster, Drosophila Proteins, Eye, Factual, Genes, Genetically Modified, Genome, Imaginal Discs, Regulatory Elements, Reporter, Transcription Factors, Transcriptional, Wing}, issn = {2211-1247}, doi = {10.1016/j.celrep.2012.09.010}, author = {Jory, Aur{\'e}lie and Estella, Carlos and Giorgianni, Matt W and Slattery, Matthew and Laverty, Todd R and Rubin, Gerald M and Mann, Richard S} } @article {4629, title = {Using translational enhancers to increase transgene expression in Drosophila.}, journal = {Proceedings of the National Academy of Sciences of the United States of America}, volume = {109}, year = {2012}, month = {2012 Apr 9}, pages = {6626-31}, abstract = {

The ability to specify the expression levels of exogenous genes inserted in the genomes of transgenic animals is critical for the success of a wide variety of experimental manipulations. Protein production can be regulated at the level of transcription, mRNA transport, mRNA half-life, or translation efficiency. In this report, we show that several well-characterized sequence elements derived from plant and insect viruses are able to function in Drosophila to increase the apparent translational efficiency of mRNAs by as much as 20-fold. These increases render expression levels sufficient for genetic constructs previously requiring multiple copies to be effective in single copy, including constructs expressing the temperature-sensitive inactivator of neuronal function Shibire(ts1), and for the use of cytoplasmic GFP to image the fine processes of neurons.

}, issn = {1091-6490}, doi = {10.1073/pnas.1204520109}, author = {Pfeiffer, Barret D and Truman, James W and Rubin, Gerald M} } @article {3892, title = {Multiple new site-specific recombinases for use in manipulating animal genomes.}, journal = {Proceedings of the National Academy of Sciences of the United States of America}, volume = {108}, year = {2011}, month = {2011 Aug 23}, pages = {14198-203}, abstract = {

Site-specific recombinases have been used for two decades to manipulate the structure of animal genomes in highly predictable ways and have become major research tools. However, the small number of recombinases demonstrated to have distinct specificities, low toxicity, and sufficient activity to drive reactions to completion in animals has been a limitation. In this report we show that four recombinases derived from yeast-KD, B2, B3, and R-are highly active and nontoxic in Drosophila and that KD, B2, B3, and the widely used FLP recombinase have distinct target specificities. We also show that the KD and B3 recombinases are active in mice.

}, issn = {1091-6490}, doi = {10.1073/pnas.1111704108}, author = {Nern, Aljoscha and Pfeiffer, Barret D and Svoboda, Karel and Rubin, Gerald M} } @article {5291, title = {Mushroom body efferent neurons responsible for aversive olfactory memory retrieval in Drosophila.}, journal = {Nature Neuroscience}, volume = {14}, year = {2011}, month = {2011 Jun 19}, pages = {903-10}, abstract = {

Aversive olfactory memory is formed in the mushroom bodies in Drosophila melanogaster. Memory retrieval requires mushroom body output, but the manner in which a memory trace in the mushroom body drives conditioned avoidance of a learned odor remains unknown. To identify neurons that are involved in olfactory memory retrieval, we performed an anatomical and functional screen of defined sets of mushroom body output neurons. We found that MB-V2 neurons were essential for retrieval of both short- and long-lasting memory, but not for memory formation or memory consolidation. MB-V2 neurons are cholinergic efferent neurons that project from the mushroom body vertical lobes to the middle superiormedial protocerebrum and the lateral horn. Notably, the odor response of MB-V2 neurons was modified after conditioning. As the lateral horn has been implicated in innate responses to repellent odorants, we propose that MB-V2 neurons recruit the olfactory pathway involved in innate odor avoidance during memory retrieval.

}, keywords = {Afferent Pathways, Analysis of Variance, Animal, Animals, Antigens, Avoidance Learning, Behavior, Biological, CD8, Choline O-Acetyltransferase, Conditioning (Psychology), Drosophila melanogaster, Drosophila Proteins, Gene Expression Regulation, Genetically Modified, Glutamate Decarboxylase, Green Fluorescent Proteins, Memory, Mental Recall, Models, Motor Neurons, Mushroom Bodies, Odors, Olfactory Pathways, Short-Term, Smell, Synapsins, Temperature, Time Factors, Transcription Factors, Tyrosine 3-Monooxygenase, Vesicular Glutamate Transport Proteins}, issn = {1546-1726}, doi = {10.1038/nn.2846}, author = {S{\'e}journ{\'e}, Julien and Placais, Pierre-Yves and Aso, Yoshinori and Siwanowicz, Igor and Trannoy, S{\'e}verine and Thoma, Vladimiros and Tedjakumala, Stevanus R and Rubin, Gerald M and Tch{\'e}nio, Paul and Ito, Kei and Isabel, Guillaume and Tanimoto, Hiromu and Preat, Thomas} } @article {987, title = {Refinement of tools for targeted gene expression in Drosophila.}, journal = {Genetics}, volume = {186}, year = {2010}, month = {2010 Oct}, pages = {735-55}, abstract = {

A wide variety of biological experiments rely on the ability to express an exogenous gene in a transgenic animal at a defined level and in a spatially and temporally controlled pattern. We describe major improvements of the methods available for achieving this objective in Drosophila melanogaster. We have systematically varied core promoters, UTRs, operator sequences, and transcriptional activating domains used to direct gene expression with the GAL4, LexA, and Split GAL4 transcription factors and the GAL80 transcriptional repressor. The use of site-specific integration allowed us to make quantitative comparisons between different constructs inserted at the same genomic location. We also characterized a set of PhiC31 integration sites for their ability to support transgene expression of both drivers and responders in the nervous system. The increased strength and reliability of these optimized reagents overcome many of the previous limitations of these methods and will facilitate genetic manipulations of greater complexity and sophistication.

}, issn = {1943-2631}, doi = {10.1534/genetics.110.119917}, author = {Pfeiffer, Barret D and Ngo, Teri-T B and Hibbard, Karen L and Murphy, Christine and Jenett, Arnim and Truman, James W and Rubin, Gerald M} } @article {988, title = {Tools for neuroanatomy and neurogenetics in Drosophila.}, journal = {Proceedings of the National Academy of Sciences of the United States of America}, volume = {105}, year = {2008}, month = {2008 Jul 15}, pages = {9715-20}, abstract = {

We demonstrate the feasibility of generating thousands of transgenic Drosophila melanogaster lines in which the expression of an exogenous gene is reproducibly directed to distinct small subsets of cells in the adult brain. We expect the expression patterns produced by the collection of 5,000 lines that we are currently generating to encompass all neurons in the brain in a variety of intersecting patterns. Overlapping 3-kb DNA fragments from the flanking noncoding and intronic regions of genes thought to have patterned expression in the adult brain were inserted into a defined genomic location by site-specific recombination. These fragments were then assayed for their ability to function as transcriptional enhancers in conjunction with a synthetic core promoter designed to work with a wide variety of enhancer types. An analysis of 44 fragments from four genes found that \>80\% drive expression patterns in the brain; the observed patterns were, on average, comprised of \<100 cells. Our results suggest that the D. melanogaster genome contains \>50,000 enhancers and that multiple enhancers drive distinct subsets of expression of a gene in each tissue and developmental stage. We expect that these lines will be valuable tools for neuroanatomy as well as for the elucidation of neuronal circuits and information flow in the fly brain.

}, keywords = {Animals, Biomedical Research, Brain, Developmental, Drosophila melanogaster, Enhancer Elements, Gene Expression Regulation, Genes, Genetic, Genetically Modified, Insect, Neurons, Neurosciences, Recombination}, issn = {1091-6490}, doi = {https://doi.org/10.1073/pnas.0803697105}, author = {Pfeiffer, Barret D and Jenett, Arnim and Hammonds, Ann S and Ngo, Teri-T B and Misra, Sima and Murphy, Christine and Scully, Audra and Carlson, Joseph W and Wan, Kenneth H and Laverty, Todd R and Mungall, Chris and Svirskas, Rob and Kadonaga, James T and Doe, Chris Q and Eisen, Michael B and Celniker, Susan E and Rubin, Gerald M} } @proceedings {3303, title = {Comparative analysis of spatial patterns of gene expression in Drosophila Melanogaster imaginal discs.}, year = {2007}, month = {2007 Apr 21}, abstract = {

Determining the precise spatial extent of expression of genes across different tissues, along with knowledge of the biochemical function of the genes is critical for understanding the roles of various genes in the development of metazoan organisms. To address this problem, we have developed high-throughput methods for generating images of gene expression in Drosophila melanogaster imaginal discs and for the automated analysis of these images. Our method automatically learns tissue shapes from a small number of manually segmented training examples and automatically aligns, extracts and scores new images, which are analyzed to generate gene expression maps for each gene. We have developed a reverse lookup procedure that enables us to identify genes that have spatial expression patterns most similar to a given gene of interest. Our methods enable us to cluster both the genes and the pixels that of the maps, thereby identifying sets of genes that have similar patterns, and regions of the tissues of interest that have similar gene expression profiles across a large number of genes.

}, author = {Harmon, C and Ahammad, Parvez and Hammonds, Ann S and Weiszmann, Richard and Celniker, Susan E and Sastry, S and Rubin, Gerald M} } @article {6249, title = {Global analyses of mRNA translational control during early Drosophila embryogenesis.}, journal = {Genome Biology}, volume = {8}, year = {2007}, month = {2007}, pages = {R63}, abstract = {

BACKGROUND: In many animals, the first few hours of life proceed with little or no transcription, and developmental regulation at these early stages is dependent on maternal cytoplasm rather than the zygotic nucleus. Translational control is critical for early Drosophila embryogenesis and is exerted mainly at the gene level. To understand post-transcriptional regulation during Drosophila early embryonic development, we used sucrose polysomal gradient analyses and GeneChip analysis to illustrate the translation profile of individual mRNAs. RESULTS: We determined ribosomal density and ribosomal occupancy of over 10,000 transcripts during the first ten hours after egg laying. CONCLUSION: We report the extent and general nature of gene regulation at the translational level during early Drosophila embryogenesis on a genome-wide basis. The diversity of the translation profiles indicates multiple mechanisms modulating transcript-specific translation. Cluster analyses suggest that the genes involved in some biological processes are co-regulated at the translational level at certain developmental stages.

}, keywords = {Animals, Cluster Analysis, Developmental, Drosophila, Embryo, Embryonic Development, Gene Expression Regulation, Messenger, Nonmammalian, Polyribosomes, Protein Biosynthesis, Ribosomes, RNA, RNA 5{\textquoteright} Terminal Oligopyrimidine Sequence}, issn = {1465-6914}, doi = {10.1186/gb-2007-8-4-r63}, author = {Qin, Xiaoli and Ahn, Soyeon and Speed, Terence P and Rubin, Gerald M} } @article {955, title = {Global analysis of patterns of gene expression during Drosophila embryogenesis.}, journal = {Genome Biology}, volume = {8}, year = {2007}, month = {2007 July 23}, pages = {R145}, abstract = {

Cell and tissue specific gene expression is a defining feature of embryonic development in multi-cellular organisms. However, the range of gene expression patterns, the extent of the correlation of expression with function, and the classes of genes whose spatial expression are tightly regulated have been unclear due to the lack of an unbiased, genome-wide survey of gene expression patterns.

}, keywords = {Animals, Drosophila melanogaster, Embryonic Development, Gene Expression Profiling}, issn = {1465-6914}, doi = {10.1186/gb-2007-8-7-r145}, author = {Tomancak, Pavel and Berman, Benjamin P and Beaton, Amy and Weiszmann, Richard and Kwan, Elaine and Hartenstein, Volker and Celniker, Susan E and Rubin, Gerald M} } @article {6289, title = {Janelia Farm: an experiment in scientific culture.}, journal = {Cell}, volume = {125}, year = {2006}, month = {2006 Apr 21}, pages = {209-12}, abstract = {

Janelia Farm, the new research campus of the Howard Hughes Medical Institute, is an ongoing experiment in the social engineering of research communities.

}, keywords = {Academies and Institutes, Biomedical Research, Culture, Humans, Laboratories, Research Personnel, Research Support as Topic, Residence Characteristics}, issn = {0092-8674}, doi = {10.1016/j.cell.2006.04.005}, author = {Rubin, Gerald M} } @proceedings {3305, title = {Joint nonparametric alignment for analyzing spatial gene expression patterns of Drosophila imaginal discs.}, volume = {2}, year = {2005}, month = {2005 Jun 20}, pages = {755-60}, abstract = {

To compare spatial patterns of gene expression, one must analyze a large number of images as current methods are only able to measure a small number of genes at a time. Bringing images of corresponding tissues into alignment is a critical first step in making a meaningful comparative analysis of these spatial patterns. Significant image noise and variability in the shapes make it hard to pick a canonical shape model. In this paper, we address these problems by combining segmentation and unsupervised shape learning algorithms. We first segment images to acquire structures of interest, then jointly align the shapes of these acquired structures using an unsupervised nonparametric maximum likelihood algorithm along the lines of congealing, while simultaneously learning the underlying shape model and associated transformations. The learned transformations are applied to corresponding images to bring them into alignment in one step. We demonstrate the results for images of various classes of Drosophila imaginal discs and discuss the methodology used for a quantitative analysis of spatial gene expression patterns.

}, author = {Ahammad, Parvez and Harmon, C and Hammonds, Ann S and Sastry, S and Rubin, Gerald M} } @article {956, title = {Evidence for large domains of similarly expressed genes in the Drosophila genome.}, journal = {Journal of Biology}, volume = {1}, year = {2002}, month = {2002 Jun 18}, pages = {5}, abstract = {

Transcriptional regulation in eukaryotes generally operates at the level of individual genes. Regulation of sets of adjacent genes by mechanisms operating at the level of chromosomal domains has been demonstrated in a number of cases, but the fraction of genes in the genome subject to regulation at this level is unknown.

}, keywords = {Animals, Chromosomes, Drosophila, Gene Expression Regulation, Genes, Genome, Insect, Multigene Family, Nucleic Acid, Sequence Homology}, issn = {1475-4924}, doi = {10.1186/gb-2007-8-7-r145}, author = {Spellman, Paul T and Rubin, Gerald M} }