@article {65378, title = {A general approach to engineer positive-going eFRET voltage indicators}, journal = {Nature Communications}, volume = {11}, year = {2020}, month = {2020 Jul 10}, abstract = {

We engineered electrochromic fluorescence resonance energy transfer (eFRET) genetically encoded voltage indicators (GEVIs) with {\textquotedblleft}positive-going{\textquotedblright} fluorescence response to membrane depolarization through rational manipulation of the native proton transport pathway in microbial rhodopsins. We transformed the state-of-the-art eFRET GEVI Voltron into Positron, with kinetics and sensitivity equivalent to Voltron but flipped fluorescence signal polarity. We further applied this general approach to GEVIs containing different voltage sensitive rhodopsin domains and various fluorescent dye and fluorescent protein reporters.

}, author = {Abdelfattah, Ahmed S and Valenti, Rosario and Zheng, Jihong and Wong, Allan and Podgorski, Kaspar and Koyama, Minoru and Kim, Douglas S. and Schreiter, Eric R and Project Team GENIE} } @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 {64986, title = {High-performance calcium sensors for imaging activity in neuronal populations and microcompartments.}, journal = {Nature Methods}, volume = {16}, year = {2019}, month = {2019 Jun 17}, pages = {649-57}, abstract = {

Calcium imaging with genetically encoded calcium indicators (GECIs) is routinely used to measure neural activity in intact nervous systems. GECIs are frequently used in one of two different modes: to track activity in large populations of neuronal cell bodies, or to follow dynamics in subcellular compartments such as axons, dendrites and individual synaptic compartments. Despite major advances, calcium imaging is still limited by the biophysical properties of existing GECIs, including affinity, signal-to-noise ratio, rise and decay kinetics and dynamic range. Using structure-guided mutagenesis and neuron-based screening, we optimized the green fluorescent protein-based GECI GCaMP6 for different modes of in vivo imaging. The resulting jGCaMP7 sensors provide improved detection of individual spikes (jGCaMP7s,f), imaging in neurites and neuropil (jGCaMP7b), and may allow tracking larger populations of neurons using two-photon (jGCaMP7s,f) or wide-field (jGCaMP7c) imaging.

}, issn = {1548-7105}, doi = {10.1038/s41592-019-0435-6}, author = {Dana, Hod and Sun, Yi and Mohar, Boaz and Hulse, Brad K and Kerlin, Aaron M and Hasseman, Jeremy P and Tsegaye, Getahun and Tsang, Arthur and Wong, Allan and Patel, Ronak and Macklin, John J and Chen, Yang and Konnerth, Arthur and Jayaraman, Vivek and Looger, Loren L and Schreiter, Eric R and Svoboda, Karel and Kim, Douglas S} } @article {64917, title = {A neural circuit encoding the experience of copulation in female Drosophila.}, journal = {Neuron}, volume = {102}, year = {2019}, month = {2019 Apr 26}, pages = {1025}, abstract = {

Female behavior changes profoundly after mating. In Drosophila, the mechanisms underlying the long-term changes led by seminal products have been extensively studied. However, the effect of the sensory component of copulation on the female{\textquoteright}s internal state and behavior remains elusive. We pursued this question by dissociating the effect of coital sensory inputs from those of male ejaculate. We found that the sensory inputs of copulation cause a reduction of post-coital receptivity in females, referred to as the "copulation effect." We identified three layers of a neural circuit underlying this phenomenon. Abdominal neurons expressing the mechanosensory channel Piezo convey the signal of copulation to female-specific ascending neurons, LSANs, in the ventral nerve cord. LSANs relay this information to neurons expressing myoinhibitory peptides in the brain. We hereby provide a\ neural mechanism by which the experience of\ copulation facilitates females encoding their mating\ status, thus adjusting behavior to optimize reproduction.

}, issn = {1097-4199}, doi = {10.1016/j.neuron.2019.04.009}, author = {Shao, Lisha and Chung, Phuong and Wong, Allan and Siwanowicz, Igor and Kent, Clement F and Long, Xi and Heberlein, Ulrike} } @article {64815, title = {Neuronal reactivation during post-learning sleep consolidates long-term memory in .}, journal = {eLife}, volume = {8}, year = {2019}, month = {2019 Feb 25}, abstract = {

Animals consolidate some, but not all, learning experiences into long-term memory. Across the animal kingdom, sleep has been found to have a beneficial effect on the consolidation of recently formed memories into long-term storage. However, the underlying mechanisms of sleep dependent memory consolidation are poorly understood. Here, we show that consolidation of courtship long-term memory in is mediated by reactivation during sleep of dopaminergic neurons that were earlier involved in memory acquisition. We identify specific fan-shaped body neurons that induce sleep after the learning experience and activate dopaminergic neurons for memory consolidation. Thus, we provide a direct link between sleep, neuronal reactivation of dopaminergic neurons, and memory consolidation.

}, issn = {2050-084X}, doi = {10.7554/eLife.42786}, author = {Dag, Ugur and Lei, Zhengchang and Le, Jasmine Q and Wong, Allan and Bushey, Daniel and Keleman, Krystyna} } @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 {49813, title = {High-performance GFP-based calcium indicators for imaging activity in neuronal populations and microcompartments.}, journal = {bioRxiv}, year = {2018}, month = {2018 Oct 3}, abstract = {

Calcium imaging with genetically encoded calcium indicators (GECIs) is routinely used to measure neural activity in intact nervous systems. GECIs are frequently used in one of two different modes: to track activity in large populations of neuronal cell bodies, or to follow dynamics in subcellular compartments such as axons, dendrites and individual synaptic compartments. Despite major advances, calcium imaging is still limited by the biophysical properties of existing GECIs, including affinity, signal-to-noise ratio, rise and decay kinetics, and dynamic range. Using structure-guided mutagenesis and neuron-based screening, we optimized the green fluorescent protein-based GECI GCaMP6 for different modes of in vivo imaging. The jGCaMP7 sensors provide improved detection of individual spikes (jGCaMP7s,f), imaging in neurites and neuropil (jGCaMP7b), and tracking large populations of neurons using 2-photon (jGCaMP7s,f) or wide-field (jGCaMP7c) imaging.

}, doi = {10.1101/434589}, author = {Dana, Hod and Sun, Yi and Mohar, Boaz and Hulse, Brad and Hasseman, Jeremy P and Tsegaye, Getahun and Tsang, Arthur and Wong, Allan and Patel, Ronak and Macklin, John J and Chen, Yang and Konnerth, Arthur and Jayaraman, Vivek and Looger, Loren L and Schreiter, Eric R and Svoboda, Karel and Kim, Douglas S} }