@article {69633, title = {A Drosophila computational brain model reveals sensorimotor processing.}, journal = {Nature}, volume = {634}, year = {2024}, month = {2024 Oct 02}, pages = {210-219}, abstract = {

The recent assembly of the adult Drosophila melanogaster central brain connectome, containing more than 125,000 neurons and 50 million synaptic connections, provides a template for examining sensory processing throughout the brain. Here we create a leaky integrate-and-fire computational model of the entire Drosophila brain, on the basis of neural connectivity and neurotransmitter identity, to study circuit properties of feeding and grooming behaviours. We show that activation of sugar-sensing or water-sensing gustatory neurons in the computational model accurately predicts neurons that respond to tastes and are required for feeding initiation. In addition, using the model to activate neurons in the feeding region of the Drosophila brain predicts those that elicit motor neuron firing-a testable hypothesis that we validate by optogenetic activation and behavioural studies. Activating different classes of gustatory neurons in the model makes accurate predictions of how several taste modalities interact, providing circuit-level insight into aversive and appetitive taste processing. Additionally, we applied this model to mechanosensory circuits and found that computational activation of mechanosensory neurons predicts activation of a small set of neurons comprising the antennal grooming circuit, and accurately describes the circuit response upon activation of different mechanosensory subtypes. Our results demonstrate that modelling brain circuits using only synapse-level connectivity and predicted neurotransmitter identity generates experimentally testable hypotheses and can describe complete sensorimotor transformations.

}, keywords = {Animals, Brain, Computer Simulation, Connectome, Drosophila melanogaster, Feeding Behavior, Female, Grooming, Male, Models, Neurological, Motor Neurons, Optogenetics, Synapses, Taste}, issn = {1476-4687}, doi = {10.1038/s41586-024-07763-9}, url = {https://doi.org/10.1038/s41586-024-07763-9}, author = {Shiu, Philip K and Sterne, Gabriella R and Spiller, Nico and Franconville, Romain and Sandoval, Andrea and Zhou, Joie and Simha, Neha and Kang, Chan Hyuk and Yu, Seongbong and Kim, Jinseop S and Dorkenwald, Sven and Matsliah, Arie and Schlegel, Philipp and Yu, Szi-Chieh and McKellar, Claire E and Sterling, Amy and Costa, Marta and Eichler, Katharina and Bates, Alexander Shakeel and Eckstein, Nils and Funke, Jan and Jefferis, Gregory S X E and Murthy, Mala and Bidaye, Salil S and Hampel, Stefanie and Seeds, Andrew M and Scott, Kristin} } @article {68889, title = {Neuronal wiring diagram of an adult brain.}, journal = {Nature}, volume = {634}, year = {2024}, month = {2024 Oct 02}, pages = {124-138}, abstract = {

Connections between neurons can be mapped by acquiring and analysing electron microscopic brain images. In recent years, this approach has been applied to chunks of brains to reconstruct local connectivity maps that are highly informative, but nevertheless inadequate for understanding brain function more globally. Here we present a neuronal wiring diagram of a whole brain containing 5 {\texttimes} 107 chemical synapses between 139,255 neurons reconstructed from an adult female Drosophila melanogaster. The resource also incorporates annotations of cell classes and types, nerves, hemilineages and predictions of neurotransmitter identities. Data products are available for download, programmatic access and interactive browsing and have been made interoperable with other fly data resources. We derive a projectome-a map of projections between regions-from the connectome and report on tracing of synaptic pathways and the analysis of information flow from inputs (sensory and ascending neurons) to outputs (motor, endocrine and descending neurons) across both hemispheres and between the central brain and the optic lobes. Tracing from a subset of photoreceptors to descending motor pathways illustrates how structure can uncover putative circuit mechanisms underlying sensorimotor behaviours. The technologies and open ecosystem reported here set the stage for future large-scale connectome projects in other species.

}, doi = {10.1038/s41586-024-07558-y}, url = {https://doi.org/10.1038/s41586-024-07558-y}, author = {Dorkenwald, Sven and Matsliah, Arie and Sterling, Amy R and Schlegel, Philipp and Yu, Szi-Chieh and McKellar, Claire E and Lin, Albert and Costa, Marta and Eichler, Katharina and Yin, Yijie and Silversmith, Will and Schneider-Mizell, Casey and Jordan, Chris S and Brittain, Derrick and Halageri, Akhilesh and Kuehner, Kai and Ogedengbe, Oluwaseun and Morey, Ryan and Gager, Jay and Kruk, Krzysztof and Perlman, Eric and Yang, Runzhe and Deutsch, David and Bland, Doug and Sorek, Marissa and Lu, Ran and Macrina, Thomas and Lee, Kisuk and Bae, J Alexander and Mu, Shang and Nehoran, Barak and Mitchell, Eric and Popovych, Sergiy and Wu, Jingpeng and Jia, Zhen and Castro, Manuel and Kemnitz, Nico and Ih, Dodam and Bates, Alexander Shakeel and Eckstein, Nils and Funke, Jan and Collman, Forrest and Bock, Davi D and Jefferis, Gregory S X E and Seung, H Sebastian and Murthy, Mala} } @article {69439, title = {Neurotransmitter classification from electron microscopy images at synaptic sites in Drosophila melanogaster}, journal = {Cell}, volume = {187}, year = {2024}, month = {2024 May 09}, pages = {2574-2594.e23}, abstract = {

High-resolution electron microscopy of nervous systems has enabled the reconstruction of synaptic connectomes. However, we do not know the synaptic sign for each connection (i.e., whether a connection is excitatory or inhibitory), which is implied by the released transmitter. We demonstrate that artificial neural networks can predict transmitter types for presynapses from electron micrographs: a network trained to predict six transmitters (acetylcholine, glutamate, GABA, serotonin, dopamine, octopamine) achieves an accuracy of 87\% for individual synapses, 94\% for neurons, and 91\% for known cell types across a D.\ melanogaster whole brain. We visualize the ultrastructural features used for prediction, discovering subtle but significant differences between transmitter phenotypes. We also analyze transmitter distributions across the brain and find that neurons that develop together largely express only one fast-acting transmitter (acetylcholine, glutamate, or GABA). We hope that our publicly available predictions act as an accelerant for neuroscientific hypothesis generation for the fly.

}, keywords = {Animals, Brain, Connectome, Drosophila melanogaster, gamma-Aminobutyric Acid, Microscopy, Electron, Neural Networks, Computer, Neurons, Neurotransmitter Agents, Synapses}, issn = {1097-4172}, doi = {10.1016/j.cell.2024.03.016}, author = {Eckstein, Nils and Bates, Alexander Shakeel and Champion, Andrew and Du, Michelle and Yin, Yijie and Schlegel, Philipp and Lu, Alicia Kun-Yang and Rymer, Thomson and Finley-May, Samantha and Paterson, Tyler and Parekh, Ruchi and Dorkenwald, Sven and Matsliah, Arie and Yu, Szi-Chieh and McKellar, Claire and Sterling, Amy and Eichler, Katharina and Costa, Marta and Seung, Sebastian and Murthy, Mala and Hartenstein, Volker and Jefferis, Gregory S X E and Funke, Jan} } @article {68422, title = {Fly Cell Atlas: A single-nucleus transcriptomic atlas of the adult fruit fly.}, journal = {Science}, volume = {375}, year = {2022}, month = {03/2022}, pages = {eabk2432}, abstract = {

For more than 100 years, the fruit fly has been one of the most studied model organisms. Here, we present a single-cell atlas of the adult fly, Tabula , that includes 580,000 nuclei from 15 individually dissected sexed tissues as well as the entire head and body, annotated to \>250 distinct cell types. We provide an in-depth analysis of cell type-related gene signatures and transcription factor markers, as well as sexual dimorphism, across the whole animal. Analysis of common cell types between tissues, such as blood and muscle cells, reveals rare cell types and tissue-specific subtypes. This atlas provides a valuable resource for the community and serves as a reference to study genetic perturbations and disease models at single-cell resolution.

}, keywords = {Animals, Cell Nucleus, Databases, Genetic, Drosophila melanogaster, Drosophila Proteins, Female, Gene Expression Regulation, Gene Regulatory Networks, Genes, Insect, Male, RNA-Seq, Sex Characteristics, Single-Cell Analysis, Transcription Factors, Transcriptome}, issn = {1095-9203}, doi = {10.1126/science.abk2432}, author = {Li, Hongjie and Janssens, Jasper and De Waegeneer, Maxime and Kolluru, Sai Saroja and Davie, Kristofer and Gardeux, Vincent and Saelens, Wouter and David, Fabrice P A and Brbi{\'c}, Maria and Spanier, Katina and Leskovec, Jure and McLaughlin, Colleen N and Xie, Qijing and Jones, Robert C and Brueckner, Katja and Shim, Jiwon and Tattikota, Sudhir Gopal and Schnorrer, Frank and Rust, Katja and Nystul, Todd G and Carvalho-Santos, Zita and Ribeiro, Carlos and Pal, Soumitra and Mahadevaraju, Sharvani and Przytycka, Teresa M and Allen, Aaron M and Goodwin, Stephen F and Berry, Cameron W and Fuller, Margaret T and White-Cooper, Helen and Matunis, Erika L and DiNardo, Stephen and Galenza, Anthony and O{\textquoteright}Brien, Lucy Erin and Dow, Julian A T and Jasper, Heinrich and Oliver, Brian and Perrimon, Norbert and Deplancke, Bart and Quake, Stephen R and Luo, Liqun and Aerts, Stein and Agarwal, Devika and Ahmed-Braimah, Yasir and Arbeitman, Michelle and Ariss, Majd M and Augsburger, Jordan and Ayush, Kumar and Baker, Catherine C and Banisch, Torsten and Birker, Katja and Bodmer, Rolf and Bolival, Benjamin and Brantley, Susanna E and Brill, Julie A and Brown, Nora C and Buehner, Norene A and Cai, Xiaoyu Tracy and Cardoso-Figueiredo, Rita and Casares, Fernando and Chang, Amy and Clandinin, Thomas R and Crasta, Sheela and Desplan, Claude and Detweiler, Angela M and Dhakan, Darshan B and Don{\`a}, Erika and Engert, Stefanie and Floc{\textquoteright}hlay, Swann and George, Nancy and Gonz{\'a}lez-Segarra, Amanda J and Groves, Andrew K and Gumbin, Samantha and Guo, Yanmeng and Harris, Devon E and Heifetz, Yael and Holtz, Stephen L and Horns, Felix and Hudry, Bruno and Hung, Ruei-Jiun and Jan, Yuh Nung and Jaszczak, Jacob S and Jefferis, Gregory S X E and Karkanias, Jim and Karr, Timothy L and Katheder, Nadja Sandra and Kezos, James and Kim, Anna A and Kim, Seung K and Kockel, Lutz and Konstantinides, Nikolaos and Kornberg, Thomas B and Krause, Henry M and Labott, Andrew Thomas and Laturney, Meghan and Lehmann, Ruth and Leinwand, Sarah and Li, Jiefu and Li, Joshua Shing Shun and Li, Kai and Li, Ke and Li, Liying and Li, Tun and Litovchenko, Maria and Liu, Han-Hsuan and Liu, Yifang and Lu, Tzu-Chiao and Manning, Jonathan and Mase, Anjeli and Matera-Vatnick, Mikaela and Matias, Neuza Reis and McDonough-Goldstein, Caitlin E and McGeever, Aaron and McLachlan, Alex D and Moreno-Roman, Paola and Neff, Norma and Neville, Megan and Ngo, Sang and Nielsen, Tanja and O{\textquoteright}Brien, Caitlin E and Osumi-Sutherland, David and Ozel, Mehmet Neset and Papatheodorou, Irene and Petkovic, Maja and Pilgrim, Clare and Pisco, Angela Oliveira and Reisenman, Carolina and Sanders, Erin Nicole and Dos Santos, Gilberto and Scott, Kristin and Sherlekar, Aparna and Shiu, Philip and Sims, David and Sit, Rene V and Slaidina, Maija and Smith, Harold E and Sterne, Gabriella and Su, Yu-Han and Sutton, Daniel and Tamayo, Marco and Tan, Michelle and Tastekin, Ibrahim and Treiber, Christoph and Vacek, David and Vogler, Georg and Waddell, Scott and Wang, Wanpeng and Wilson, Rachel I and Wolfner, Mariana F and Wong, Yiu-Cheung E and Xie, Anthony and Xu, Jun and Yamamoto, Shinya and Yan, Jia and Yao, Zepeng and Yoda, Kazuki and Zhu, Ruijun and Zinzen, Robert P} } @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 {65643, title = {Connectomics analysis reveals first-, second-, and third-order thermosensory and hygrosensory neurons in the adult Drosophila brain.}, journal = {Current Biology}, volume = {30}, year = {2020}, month = {2020 Aug 17}, pages = {3167-82}, abstract = {

Animals exhibit innate and learned preferences for temperature and humidity-conditions critical for their survival and reproduction. Leveraging a whole-brain electron microscopy volume, we studied the adult Drosophila melanogaster circuitry associated with antennal thermo- and hygrosensory neurons. We have identified two new target glomeruli in the antennal lobe, in addition to the five known ones, and the ventroposterior projection neurons (VP PNs) that relay thermo- and hygrosensory information to higher brain centers, including the mushroom body and lateral horn, seats of learned and innate behavior. We present the first connectome of a thermo- and hygrosensory neuropil, the lateral accessory calyx (lACA), by reconstructing neurons downstream of heating- and cooling-responsive VP PNs. A few mushroom body-intrinsic neurons solely receive thermosensory input from the lACA, while most receive additional olfactory and thermo- and/or hygrosensory PN inputs. Furthermore, several classes of lACA-associated neurons form a local network with outputs to other brain neuropils, suggesting that the lACA serves as a hub for thermo- and hygrosensory circuitry. For example, DN1a neurons link thermosensory PNs in the lACA to the circadian clock via the accessory medulla. Finally, we survey strongly connected downstream partners of VP PNs across the protocerebrum; these include a descending neuron targeted by dry-responsive VP PNs, meaning that just two synapses might separate hygrosensory inputs from motor circuits. These data provide a comprehensive first- and second-order layer analysis of Drosophila thermo- and hygrosensory systems and an initial survey of third-order neurons that could directly modulate behavior.

}, issn = {1879-0445}, doi = {10.1016/j.cub.2020.06.028}, author = {Marin, Elizabeth C and B{\"u}ld, Laurin and Theiss, Maria and Sarkissian, Tatevik and Roberts, Ruair{\'\i} J V and Turnbull, Robert and Tamimi, Imaan F M and Pleijzier, Markus W and Laursen, Willem J and Drummond, Nik and Schlegel, Philipp and Bates, Alexander S and Li, Feng and Landgraf, Matthias and Costa, Marta and Bock, Davi D and Garrity, Paul A and Jefferis, Gregory S X E} } @article {65141, title = {A neural circuit arbitrates between persistence and withdrawal in hungry drosophila.}, journal = {Neuron}, volume = {104}, year = {2019}, month = {2019 Nov 6}, pages = {544-58}, abstract = {

In pursuit of food, hungry animals mobilize significant energy resources and overcome exhaustion and fear. How need and motivation control the decision to continue or change behavior is not understood. Using a single fly treadmill, we show that hungry flies persistently track a food odor and increase their effort over repeated trials in the absence of reward suggesting that need dominates negative experience. We further show that odor tracking is regulated by two mushroom body output neurons (MBONs) connecting the MB to the lateral horn. These MBONs, together with dopaminergic neurons and Dop1R2 signaling, control behavioral persistence. Conversely, an octopaminergic neuron, VPM4, which directly innervates one of the MBONs, acts as a brake on odor tracking by connecting feeding and olfaction. Together, our data suggest a function for the\ MB in internal state-dependent expression of behavior that can be suppressed by external inputs conveying a competing behavioral drive.

}, issn = {1097-4199}, doi = {10.1016/j.neuron.2019.07.028}, author = {Sayin, Sercan and De Backer, Jean-Francois and Siju, K P and Wosniack, Marina E and Lewis, Laurence P and Frisch, Lisa-Marie and Gansen, Benedikt and Schlegel, Philipp and Edmondson-Stait, Amelia and Sharifi, Nadiya and Fisher, Corey B and Calle-Schuler, Steven A and Lauritzen, J Scott and Bock, Davi D and Costa, Marta and Jefferis, Gregory S X E and Gjorgjieva, Julijana and Grunwald Kadow, Ilona C} } @article {65207, title = {A Neural Circuit Arbitrates between Persistence and Withdrawal in Hungry Drosophila.}, journal = {Neuron}, year = {2019}, month = {2019 Aug 09}, abstract = {

In pursuit of food, hungry animals mobilize significant energy resources and overcome exhaustion and fear. How need and motivation control the decision to continue or change behavior is not understood. Using a single fly treadmill, we show that hungry flies persistently track a food odor and increase their effort over repeated trials in the absence of reward suggesting that need dominates negative experience. We further show that odor tracking is regulated by two mushroom body output neurons (MBONs) connecting the MB to the lateral horn. These MBONs, together with dopaminergic neurons and Dop1R2 signaling, control behavioral persistence. Conversely, an octopaminergic neuron, VPM4, which directly innervates one of the MBONs, acts as a brake on odor tracking by connecting feeding and olfaction. Together, our data suggest a function for the\ MB in internal state-dependent expression of behavior that can be suppressed by external inputs conveying a competing behavioral drive.

}, issn = {1097-4199}, doi = {10.1016/j.neuron.2019.07.028}, author = {Sayin, Sercan and De Backer, Jean-Francois and Siju, K P and Wosniack, Marina E and Lewis, Laurence P and Frisch, Lisa-Marie and Gansen, Benedikt and Schlegel, Philipp and Edmondson-Stait, Amelia and Sharifi, Nadiya and Fisher, Corey B and Calle-Schuler, Steven A and Lauritzen, J Scott and Bock, Davi D and Costa, Marta and Jefferis, Gregory S X E and Gjorgjieva, Julijana and Grunwald Kadow, Ilona C} } @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 {48620, title = {A complete electron microscopy volume of the brain of adult Drosophila melanogaster.}, journal = {Cell}, volume = {174}, year = {2018}, month = {2018 Jul 12}, pages = {730-43}, abstract = {

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

}, doi = {10.1016/j.cell.2018.06.019}, author = {Zheng, Zhihao and Lauritzen, J Scott and Perlman, Eric and Robinson, Camenzind G and Nichols, Matthew and Milkie, Daniel E and Torrens, Omar and Price, John and Fisher, Corey B and Sharifi, Nadiya and Calle-Schuler, Steven A and Kmecova, Lucia and Ali, Iqbal J and Karsh, Bill and Trautman, Eric T and Bogovic, John A and Hanslovsky, Philipp and Jefferis, Gregory S X E and Kazhdan, Michael and Khairy, Khaled} } @article {49435, title = {Integration of parallel opposing memories underlies memory extinction.}, journal = {Cell}, volume = {175}, year = {2018}, month = {2018 Sep 06}, pages = {709-22}, abstract = {

Accurately predicting an outcome requires that animals learn supporting and conflicting evidence from sequential experience. In mammals and invertebrates, learned fear responses can be suppressed by experiencing predictive cues without punishment,\ a process called memory extinction. Here, we show that extinction of aversive memories in Drosophila requires specific dopaminergic neurons, which indicate that omission of punishment is remembered as a positive experience. Functional imaging revealed co-existence of intracellular calcium traces in different places in the mushroom body output neuron network for both the original aversive memory and a new appetitive extinction memory. Light and ultrastructural anatomy are consistent with parallel competing memories being combined within mushroom body output neurons that direct avoidance. Indeed, extinction-evoked plasticity in a pair of these neurons neutralizes the potentiated odor response imposed in the network by aversive learning. Therefore, flies track the accuracy of learned expectations by accumulating and integrating memories of conflicting events.

}, issn = {1097-4172}, doi = {10.1016/j.cell.2018.08.021}, author = {Felsenberg, Johannes and Jacob, Pedro F and Walker, Thomas and Barnstedt, Oliver and Edmondson-Stait, Amelia J and Pleijzier, Markus W and Otto, Nils and Schlegel, Philipp and Sharifi, Nadiya and Perisse, Emmanuel and Smith, Carlas S and Lauritzen, J Scott and Costa, Marta and Jefferis, Gregory S X E and Bock, Davi D and Waddell, Scott} } @article {49366, title = {Optimization of fluorophores for chemical tagging and immunohistochemistry of Drosophila neurons.}, journal = {PLoS One}, volume = {13}, year = {2018}, month = {2018 Aug 15}, pages = {e0200759}, abstract = {

The use of genetically encoded {\textquoteright}self-labeling tags{\textquoteright} with chemical fluorophore ligands enables rapid labeling of specific cells in neural tissue. To improve the chemical tagging of neurons, we synthesized and evaluated new fluorophore ligands based on Cy, Janelia Fluor, Alexa Fluor, and ATTO dyes and tested these with recently improved Drosophila melanogaster transgenes. We found that tissue clearing and mounting in DPX substantially improves signal quality when combined with specific non-cyanine fluorophores. We compared and combined this labeling technique with standard immunohistochemistry in the Drosophila brain.

}, issn = {1932-6203}, doi = {10.1371/journal.pone.0200759}, author = {Meissner, Geoffrey W and Grimm, Jonathan B and Johnston, Rebecca M and Sutcliffe, Ben and Ng, Julian and Jefferis, Gregory S X E and Cachero, Sebastian and Lavis, Luke D and Malkesman, Oz} } @article {48366, title = {Facilitating neuron-specific genetic manipulations in Drosophila using a split GAL4 repressor.}, journal = {Genetics}, volume = {206}, year = {2017}, month = {2017 Mar 31}, pages = {775-84}, abstract = {

Efforts to map neural circuits have been galvanized by the development of genetic technologies that permit the manipulation of targeted sets of neurons in the brains of freely behaving animals. The success of these efforts relies on the experimenter{\textquoteright}s ability to target arbitrarily small subsets of neurons for manipulation, but such specificity of targeting cannot routinely be achieved using existing methods. In Drosophila melanogaster, a widely used technique for refined cell-type specific manipulation is the Split GAL4 system, which augments the targeting specificity of the binary GAL4-UAS system by making GAL4 transcriptional activity contingent upon two enhancers, rather than one. To permit more refined targeting, we introduce here the "Killer Zipper" (KZip(+)), a suppressor that makes Split GAL4 targeting contingent upon a third enhancer. KZip(+) acts by disrupting both the formation and activity of Split GAL4 heterodimers, and we show how this added layer of control can be used to selectively remove unwanted cells from a Split GAL4 expression pattern or to subtract neurons of interest from a pattern to determine their requirement in generating a given phenotype. To facilitate application of the KZip(+) technology, we have developed a versatile set of LexAop-KZip(+) fly lines that can be used directly with the large number of LexA driver lines with known expression patterns. The Killer Zipper significantly sharpens the precision of neuronal genetic control available in Drosophila and may be extended to other organisms where Split GAL4-like systems are used.

}, issn = {1943-2631}, doi = {10.1534/genetics.116.199687}, author = {Dolan, Michael-John and Luan, Haojiang and Shropshire, William C and Sutcliffe, Ben and Cocanougher, Benjamin and Scott, Robert L and Frechter, Shahar and Zlatic, Marta and Jefferis, Gregory S X E and White, Benjamin H} } @article {6862, title = {Cellular organization of the neural circuit that drives Drosophila courtship behavior.}, journal = {Current Biology}, volume = {20}, year = {2010}, month = {2010 Sep 28}, pages = {1602-14}, abstract = {

BACKGROUND: Courtship behavior in Drosophila has been causally linked to the activity of the heterogeneous set of \~{}1500 neurons that express the sex-specific transcripts of the fruitless (fru) gene, but we currently lack an appreciation of the cellular diversity within this population, the extent to which these cells are sexually dimorphic, and how they might be organized into functional circuits. RESULTS: We used genetic methods to define 100 distinct classes of fru neuron, which we compiled into a digital 3D atlas at cellular resolution. We determined the polarity of many of these neurons and computed their likely patterns of connectivity, thereby assembling them into a neural circuit that extends from sensory input to motor output. The cellular organization of this circuit reveals neuronal pathways in the brain that are likely to integrate multiple sensory cues from other flies and to issue descending control signals to motor circuits in the thoracic ganglia. We identified 11 anatomical dimorphisms within this circuit: neurons that are male specific, are more numerous in males than females, or have distinct arborization patterns in males and females. CONCLUSIONS: The cellular organization of the fru circuit suggests how multiple distinct sensory cues are integrated in the fly{\textquoteright}s brain to drive sex-specific courtship behavior. We propose that sensory processing and motor control are mediated through circuits that are largely similar in males and females. Sex-specific behavior may instead arise through dimorphic circuits in the brain and nerve cord that differentially couple sensory input to motor output.

}, keywords = {Animal, Animals, Brain, Drosophila melanogaster, Female, Male, Nerve Net, Neurons, Sexual Behavior}, issn = {1879-0445}, doi = {10.1016/j.cub.2010.08.025}, author = {Yu, Jai Y and Kanai, Makoto I and Demir, Ebru and Jefferis, Gregory S X E and Dickson, Barry J} }