@article {69749, title = {Cell type-specific driver lines targeting the Drosophila central complex and their use to investigate neuropeptide expression and sleep regulation}, journal = {elife}, year = {2025}, month = {2025 Jan 21}, abstract = {

The central complex (CX) plays a key role in many higher-order functions of the insect brain including navigation and activity regulation. Genetic tools for manipulating individual cell types, and knowledge of what neurotransmitters and neuromodulators they express, will be required to gain mechanistic understanding of how these functions are implemented. We generated and characterized split-GAL4 driver lines that express in individual or small subsets of about half of CX cell types. We surveyed neuropeptide and neuropeptide receptor expression in the central brain using fluorescent\ in situ\ hybridization. About half of the neuropeptides we examined were expressed in only a few cells, while the rest were expressed in dozens to hundreds of cells. Neuropeptide receptors were expressed more broadly and at lower levels. Using our GAL4 drivers to mark individual cell types, we found that 51 of the 85 CX cell types we examined expressed at least one neuropeptide and 21 expressed multiple neuropeptides. Surprisingly, all co-expressed a small neurotransmitter. Finally, we used our driver lines to identify CX cell types whose activation affects sleep, and identified other central brain cell types that link the circadian clock to the CX. The well-characterized genetic tools and information on neuropeptide and neurotransmitter expression we provide should enhance studies of the CX.

}, doi = {10.7554/elife.104764.2}, url = {http://dx.doi.org/10.7554/eLife.104764.2}, author = {Wolff, Tanya and Eddison, Mark and Chen, Nan and Nern, Aljoscha and Sundaramurthi, Preeti and Sitaraman, Divya and Rubin, Gerald M} } @article {69721, title = {A split-GAL4 driver line resource for Drosophila neuron types}, year = {2025}, month = {01/2025}, doi = {10.7554/elife.98405.3}, url = {http://dx.doi.org/10.7554/eLife.98405.3}, author = {Meissner, Geoffrey W and Vannan, Allison and Jeter, Jennifer and Close, Kari and Depasquale, Gina M and Dorman, Zachary and Forster, Kaitlyn and Beringer, Jaye Anne and Gibney, Theresa V and Hausenfluck, Joanna H and He, Yisheng and Henderson, Kristin and Johnson, Lauren and Johnston, Rebecca M and Ihrke, Gudrun and Iyer, Nirmala and Lazarus, Rachel and Lee, Kelley and Li, Hsing-Hsi and Liaw, Hua-Peng and Melton, Brian and Miller, Scott and Motaher, Reeham and Novak, Alexandra and Ogundeyi, Omotara and Petruncio, Alyson and Price, Jacquelyn and Protopapas, Sophia and Tae, Susana and Taylor, Jennifer and Vorimo, Rebecca and Yarbrough, Brianna and Zeng, Kevin Xiankun and Zugates, Christopher T and Dionne, Heather and Angstadt, Claire and Ashley, Kelly and Cavallaro, Amanda and Dang, Tam and Gonzalez, Guillermo A and Hibbard, Karen L and Huang, Cuizhen and Kao, Jui-Chun and Laverty, Todd and Mercer, Monti and Perez, Brenda and Pitts, Scarlett and Ruiz, Danielle and Vallanadu, Viruthika and Zheng, Grace Zhiyu and Goina, Cristian and Otsuna, Hideo and Rokicki, Konrad and Svirskas, Robert R and Cheong, Han Sj and Dolan, Michael-John and Ehrhardt, Erica and Feng, Kai and El Galfi, Basel and Goldammer, Jens and Huston, Stephen J and Hu, Nan and Ito, Masayoshi and McKellar, Claire and minegishi, ryo and Namiki, Shigehiro and Nern, Aljoscha and Schretter, Catherine E and Sterne, Gabriella R and Venkatasubramanian, Lalanti and Wang, Kaiyu and Wolff, Tanya and Wu, Ming and George, Reed and Malkesman, Oz and Aso, Yoshinori and Card, Gwyneth M and Dickson, Barry J and Korff, Wyatt and Ito, Kei and Truman, James W and Zlatic, Marta and Rubin, Gerald M} } @article {69650, title = {Cell type-specific driver lines targeting the Drosophila central complex and their use to investigate neuropeptide expression and sleep regulation}, journal = {bioRxiv}, year = {2024}, month = {2024 Oct 21}, abstract = {

The central complex (CX) plays a key role in many higher-order functions of the insect brain including navigation and activity regulation. Genetic tools for manipulating individual cell types, and knowledge of what neurotransmitters and neuromodulators they express, will be required to gain mechanistic understanding of how these functions are implemented. We generated and characterized split-GAL4 driver lines that express in individual or small subsets of about half of CX cell types. We surveyed neuropeptide and neuropeptide receptor expression in the central brain using fluorescent in situ hybridization. About half of the neuropeptides we examined were expressed in only a few cells, while the rest were expressed in dozens to hundreds of cells. Neuropeptide receptors were expressed more broadly and at lower levels. Using our GAL4 drivers to mark individual cell types, we found that 51 of the 85 CX cell types we examined expressed at least one neuropeptide and 21 expressed multiple neuropeptides. Surprisingly, all co-expressed a small neurotransmitter. Finally, we used our driver lines to identify CX cell types whose activation affects sleep, and identified other central brain cell types that link the circadian clock to the CX. The well-characterized genetic tools and information on neuropeptide and neurotransmitter expression we provide should enhance studies of the CX.

}, doi = {10.1101/2024.10.21.619448}, url = {https://doi.org/10.1101/2024.10.21.619448}, author = {Wolff, Tanya and Eddison, Mark and Chen, Nan and Nern, Aljoscha and Sundaramurthi, Preeti and Sitaraman, Divya and Rubin, Gerald M.} } @article {69138, title = {Connectomic reconstruction predicts visual features used for navigation.}, journal = {Nature}, volume = {634}, year = {2024}, month = {2024 Oct 02}, pages = {181-190}, abstract = {

Many animals use visual information to navigate, but how such information is encoded and integrated by the navigation system remains incompletely understood. In Drosophila melanogaster, EPG neurons in the central complex compute the heading direction by integrating visual input from ER neurons, which are part of the anterior visual pathway (AVP). Here we densely reconstruct all neurons in the AVP using 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 the anterior optic tubercle (AOTUsu) in the central brain; TuBu neurons, which connect the AOTUsu to the bulb neuropil; and ER neurons, which connect the bulb to the EPG neurons. On the basis of morphologies, connectivity between neural classes and the locations of synapses, we identify distinct information channels that originate from four types of MeTu neurons, and we further divide these into ten subtypes according to the presynaptic connections in the medulla and the postsynaptic connections in the AOTUsu. Using the connectivity of the entire AVP and the dendritic fields of the MeTu neurons in the optic lobes, we infer potential visual features and the visual area from which any ER neuron receives input. We confirm some of these predictions physiologically. These results provide a strong foundation for understanding how distinct sensory features can be extracted and transformed across multiple processing stages to construct higher-order cognitive representations.

}, doi = {10.1038/s41586-024-07967-z}, url = {https://doi.org/10.1038/s41586-024-07967-z}, author = {Garner, Dustin and Kind, Emil and Yuet Ha Lai, Jennifer and Nern, Aljoscha and Zhao, Arthur and Houghton, Lucy and Sancer, Gizem and Wolff, Tanya and Rubin, Gerald M and Wernet, Mathias F and Kim, Sung Soo} } @article {69456, title = {Hue selectivity from recurrent circuitry in Drosophila}, journal = {Nat Neurosci}, year = {2024}, month = {2024 May 16}, abstract = {

In the perception of color, wavelengths of light reflected off objects are transformed into the derived quantities of brightness, saturation and hue. Neurons responding selectively to hue have been reported in primate cortex, but it is unknown how their narrow tuning in color space is produced by upstream circuit mechanisms. We report the discovery of neurons in the Drosophila optic lobe with hue-selective properties, which enables circuit-level analysis of color processing. From our analysis of an electron microscopy volume of a whole Drosophila brain, we construct a connectomics-constrained circuit model that accounts for this hue selectivity. Our model predicts that recurrent connections in the circuit are critical for generating hue selectivity. Experiments using genetic manipulations to perturb recurrence in adult flies confirm this prediction. Our findings reveal a circuit basis for hue selectivity in color vision.

}, issn = {1546-1726}, doi = {10.1038/s41593-024-01640-4}, author = {Christenson, Matthias P and Sanz Diez, Alvaro and Heath, Sarah L and Saavedra-Weisenhaus, Maia and Adachi, Atsuko and Nern, Aljoscha and Abbott, L F and Behnia, Rudy} } @article {68709, title = {BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets.}, journal = {Nature Methods}, volume = {20}, year = {2023}, month = {2023 Jun 01}, abstract = {

BigNeuron is an open community bench-testing platform with the goal of setting open standards for accurate and fast automatic neuron tracing. We gathered a diverse set of image volumes across several species that is representative of the data obtained in many neuroscience laboratories interested in neuron tracing. Here, we report generated gold standard manual annotations for a subset of the available imaging datasets and quantified tracing quality for 35 automatic tracing algorithms. The goal of generating such a hand-curated diverse dataset is to advance the development of tracing algorithms and enable generalizable benchmarking. Together with image quality features, we pooled the data in an interactive web application that enables users and developers to perform principal component analysis, t-distributed stochastic neighbor embedding, correlation and clustering, visualization of imaging and tracing data, and benchmarking of automatic tracing algorithms in user-defined data subsets. The image quality metrics explain most of the variance in the data, followed by neuromorphological features related to neuron size. We observed that diverse algorithms can provide complementary information to obtain accurate results and developed a method to iteratively combine methods and generate consensus reconstructions. The consensus trees obtained provide estimates of the neuron structure ground truth that typically outperform single algorithms in noisy datasets. However, specific algorithms may outperform the consensus tree strategy in specific imaging conditions. Finally, to aid users in predicting the most accurate automatic tracing results without manual annotations for comparison, we used support vector machine regression to predict reconstruction quality given an image volume and a set of automatic tracings.

}, issn = {1548-7105}, doi = {10.1038/s41592-023-01848-5}, author = {Manubens-Gil, Linus and Zhou, Zhi and Chen, Hanbo and Ramanathan, Arvind and Liu, Xiaoxiao and Liu, Yufeng and Bria, Alessandro and Gillette, Todd and Ruan, Zongcai and Yang, Jian and Radojevi{\'c}, Miroslav and Zhao, Ting and Cheng, Li and Qu, Lei and Liu, Siqi and Bouchard, Kristofer E and Gu, Lin and Cai, Weidong and Ji, Shuiwang and Roysam, Badrinath and Wang, Ching-Wei and Yu, Hongchuan and Sironi, Amos and Iascone, Daniel Maxim and Zhou, Jie and Bas, Erhan and Conde-Sousa, Eduardo and Aguiar, Paulo and Li, Xiang and Li, Yujie and Nanda, Sumit and Wang, Yuan and Muresan, Leila and Fua, Pascal and Ye, Bing and He, Hai-Yan and Staiger, Jochen F and Peter, Manuel and Cox, Daniel N and Simonneau, Michel and Oberlaender, Marcel and Jefferis, Gregory and Ito, Kei and Gonzalez-Bellido, Paloma and Kim, Jinhyun and Rubel, Edwin and Cline, Hollis T and Zeng, Hongkui and Nern, Aljoscha and Chiang, Ann-Shyn and Yao, Jianhua and Roskams, Jane and Livesey, Rick and Stevens, Janine and Liu, Tianming and Dang, Chinh and Guo, Yike and Zhong, Ning and Tourassi, Georgia and Hill, Sean and Hawrylycz, Michael and Koch, Christof and Meijering, Erik and Ascoli, Giorgio A and Peng, Hanchuan} } @article {68964, title = {Brain wiring determinants uncovered by integrating connectomes and transcriptomes.}, journal = {Current Biology}, volume = {33}, year = {2023}, month = {2023 Aug 23}, pages = {3998-3998}, abstract = {

Advances in brain connectomics have demonstrated the extraordinary complexity of neural circuits. Developing neurons encounter the axons and dendrites of many different neuron types and form synapses with only a subset of them. During circuit assembly, neurons express cell-type-specific repertoires comprising many cell adhesion molecules (CAMs) that can mediate interactions between developing neurites. Many CAM families have been shown to contribute to brain wiring in different ways. It has been challenging, however, to identify receptor-ligand pairs directly matching neurons with their synaptic targets. Here, we integrated the synapse-level connectome of the neural circuit with the developmental expression patterns and binding specificities of CAMs on pre- and postsynaptic neurons in the Drosophila visual system. To overcome the complexity of neural circuits, we focus on pairs of genetically related neurons that make differential wiring choices. In the motion detection circuit, closely related subtypes of T4/T5 neurons choose between alternative synaptic targets in adjacent layers of neuropil. This choice correlates with the matching expression in synaptic partners of different receptor-ligand pairs of the Beat and Side families of CAMs. Genetic analysis demonstrated that presynaptic Side-II and postsynaptic Beat-VI restrict synaptic partners to the same layer. Removal of this receptor-ligand pair disrupts layers and leads to inappropriate targeting of presynaptic sites and postsynaptic dendrites. We propose that different Side/Beat receptor-ligand pairs collaborate with other recognition molecules to determine wiring specificities in the fly brain. Combining transcriptomes, connectomes, and protein interactome maps allow unbiased identification of determinants of brain wiring.

}, issn = {1879-0445}, doi = {10.1016/j.cub.2023.08.020}, author = {Yoo, Juyoun and Dombrovski, Mark and Mirshahidi, Parmis and Nern, Aljoscha and LoCascio, Samuel A and Zipursky, S Lawrence and Kurmangaliyev, Yerbol Z} } @article {69092, title = {Different spectral sensitivities of ON- and OFF-motion pathways enhance the detection of approaching color objects in Drosophila.}, journal = {Nature Communications}, volume = {14}, year = {2023}, month = {2023 Nov 24}, pages = {7693}, abstract = {

Color and motion are used by many species to identify salient objects. They are processed largely independently, but color contributes to motion processing in humans, for example, enabling moving colored objects to be detected when their luminance matches the background. Here, we demonstrate an unexpected, additional contribution of color to motion vision in Drosophila. We show that behavioral ON-motion responses are more sensitive to UV than for OFF-motion, and we identify cellular pathways connecting UV-sensitive R7 photoreceptors to ON and OFF-motion-sensitive T4 and T5 cells, using neurogenetics and calcium imaging. Remarkably, this contribution of color circuitry to motion vision enhances the detection of approaching UV discs, but not green discs with the same chromatic contrast, and we show how this could generalize for systems with ON- and OFF-motion pathways. Our results provide a computational and circuit basis for how color enhances motion vision to favor the detection of saliently colored objects.

}, keywords = {Animals, Drosophila, Humans, Motion Perception, Photoreceptor Cells, Vision, Ocular}, issn = {2041-1723}, doi = {10.1038/s41467-023-43566-8}, author = {Longden, Kit D and Rogers, Edward M and Nern, Aljoscha and Dionne, Heather and Reiser, Michael B} } @article {69111, title = {Different spectral sensitivities of ON- and OFF-motion pathways enhance the detection of approaching color objects in Drosophila.}, journal = {Nature Communications}, volume = {14}, year = {2023}, month = {2023 Nov 24}, pages = {7693}, abstract = {

Color and motion are used by many species to identify salient objects. They are processed largely independently, but color contributes to motion processing in humans, for example, enabling moving colored objects to be detected when their luminance matches the background. Here, we demonstrate an unexpected, additional contribution of color to motion vision in Drosophila. We show that behavioral ON-motion responses are more sensitive to UV than for OFF-motion, and we identify cellular pathways connecting UV-sensitive R7 photoreceptors to ON and OFF-motion-sensitive T4 and T5 cells, using neurogenetics and calcium imaging. Remarkably, this contribution of color circuitry to motion vision enhances the detection of approaching UV discs, but not green discs with the same chromatic contrast, and we show how this could generalize for systems with ON- and OFF-motion pathways. Our results provide a computational and circuit basis for how color enhances motion vision to favor the detection of saliently colored objects.

}, keywords = {Animals, Drosophila, Humans, Motion Perception, Photoreceptor Cells, Vision, Ocular}, issn = {2041-1723}, doi = {10.1038/s41467-023-43566-8}, author = {Longden, Kit D and Rogers, Edward M and Nern, Aljoscha and Dionne, Heather and Reiser, Michael B} } @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 {68273, title = {Neural network organization for courtship-song feature detection in Drosophila.}, journal = {Current Biology}, volume = {32}, year = {2022}, month = {2022 Aug 08}, pages = {3317-3333.e7}, abstract = {

Animals communicate using sounds in a wide range of contexts, and auditory systems must encode behaviorally relevant acoustic features to drive appropriate reactions. How feature detection emerges along auditory pathways has been difficult to solve due to challenges in mapping the underlying circuits and characterizing responses to behaviorally relevant features. Here, we study auditory activity in the Drosophila melanogaster brain and investigate feature selectivity for the two main modes of fly courtship song, sinusoids and pulse trains. We identify 24 new cell types of the intermediate layers of the auditory pathway, and using a new connectomic resource, FlyWire, we map all synaptic connections between these cell types, in addition to connections to known early and higher-order auditory neurons-this represents the first circuit-level map of the auditory pathway. We additionally determine the sign (excitatory or inhibitory) of most synapses in this auditory connectome. We find that auditory neurons display a continuum of preferences for courtship song modes and that neurons with different song-mode preferences and response timescales are highly interconnected in a network that lacks hierarchical structure. Nonetheless, we find that the response properties of individual cell types within the connectome are predictable from their inputs. Our study thus provides new insights into the organization of auditory coding within the Drosophila brain.

}, keywords = {Animals, Auditory Perception, Courtship, Drosophila, Drosophila melanogaster, Neural Networks, Computer, Sexual Behavior, Animal, Vocalization, Animal}, issn = {1879-0445}, doi = {10.1016/j.cub.2022.06.019}, author = {Baker, Christa A and McKellar, Claire and Pang, Rich and Nern, Aljoscha and Dorkenwald, Sven and Pacheco, Diego A and Eckstein, Nils and Funke, Jan and Dickson, Barry J and Murthy, Mala} } @article {68225, title = {Neuronal circuits integrating visual motion information in Drosophila melanogaster.}, journal = {Current Biology}, volume = {32}, year = {2022}, month = {2022 Aug 22}, pages = {3529-3544}, abstract = {

The detection of visual motion enables sophisticated animal navigation, and studies on flies have provided profound insights into the cellular and circuit bases of this neural computation. The fly{\textquoteright}s directionally selective T4 and T5 neurons encode ON and OFF motion, respectively. Their axons terminate in one of the four retinotopic layers in the lobula plate, where each layer encodes one of the four directions of motion. Although the input circuitry of the directionally selective neurons has been studied in detail, the synaptic connectivity of circuits integrating T4/T5 motion signals is largely unknown. Here, we report a 3D electron microscopy reconstruction, wherein we comprehensively identified T4/T5{\textquoteright}s synaptic partners in the lobula plate, revealing a diverse set of new cell types and attributing new connectivity patterns to the known cell types. Our reconstruction explains how the ON- and OFF-motion pathways converge. T4 and T5 cells that project to the same layer connect to common synaptic partners and comprise a core motif together with bilayer interneurons, detailing the circuit basis for computing motion opponency. We discovered pathways that likely encode new directions of motion by integrating vertical and horizontal motion signals from upstream T4/T5 neurons. Finally, we identify substantial projections into the lobula, extending the known motion pathways and suggesting that directionally selective signals shape feature detection there. The circuits we describe enrich the anatomical basis for experimental and computations analyses of motion vision and bring us closer to understanding complete sensory-motor pathways.

}, issn = {1879-0445}, doi = {10.1016/j.cub.2022.06.061}, author = {Shinomiya, Kazunori and Nern, Aljoscha and Meinertzhagen, Ian A and Plaza, Stephen M and Reiser, Michael B} } @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 {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 {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 {65910, title = {An unbiased template of the Drosophila brain and ventral nerve cord.}, journal = {PLoS One}, volume = {15}, year = {2020}, month = {2020 Dec 31}, pages = {e0236495}, abstract = {

The fruit fly Drosophila melanogaster is an important model organism for neuroscience with a wide array of genetic tools that enable the mapping of individual neurons and neural subtypes. Brain templates are essential for comparative biological studies because they enable analyzing many individuals in a common reference space. Several central brain templates exist for Drosophila, but every one is either biased, uses sub-optimal tissue preparation, is imaged at low resolution, or does not account for artifacts. No publicly available Drosophila ventral nerve cord template currently exists. In this work, we created high-resolution templates of the Drosophila brain and ventral nerve cord using the best-available technologies for imaging, artifact correction, stitching, and template construction using groupwise registration. We evaluated our central brain template against the four most competitive, publicly available brain templates and demonstrate that ours enables more accurate registration with fewer local deformations in shorter time.

}, issn = {1932-6203}, doi = {10.1371/journal.pone.0236495}, author = {Bogovic, John A and Otsuna, Hideo and Heinrich, Larissa and Ito, Masayoshi and Jeter, Jennifer and Meissner, Geoffrey and Nern, Aljoscha and Colonell, Jennifer and Malkesman, Oz and Ito, Kei and Saalfeld, Stephan} } @article {51252, title = {Comparisons between the ON- and OFF-edge motion pathways in the brain.}, journal = {eLife}, volume = {8}, year = {2019}, month = {2019 Jan 09}, abstract = {

Understanding the circuit mechanisms behind motion detection is a long-standing question in visual neuroscience. In , recent synapse-level connectomes in the optic lobe, particularly in ON-pathway (T4) receptive-field circuits, in concert with physiological studies, suggest an increasingly intricate motion model compared with the ubiquitous Hassenstein-Reichardt model, while our knowledge of OFF-pathway (T5) has been incomplete. Here we present a conclusive and comprehensive connectome that for the first time integrates detailed connectivity information for inputs to both T4 and T5 pathways in a single EM dataset covering the entire optic lobe. With novel reconstruction methods using automated synapse prediction suited to such a large connectome, we successfully corroborate previous findings in the T4 pathway and comprehensively identify inputs and receptive fields for T5. While the two pathways are likely evolutionarily linked and indeed exhibit many similarities, we uncover interesting differences and interactions that may underlie their distinct functional properties.

}, issn = {2050-084X}, doi = {10.7554/eLife.40025}, author = {Shinomiya, Kazunori and Huang, Gary and Lu, Zhiyuan and Parag, Toufiq and Xu, C Shan and Aniceto, Roxanne and Ansari, Namra and Cheatham, Natasha and Lauchie, Shirley and Neace, Erika and Ogundeyi, Omotara and Ordish, Christopher and Peel, David and Shinomiya, Aya and Smith, Claire and Takemura, Satoko and Talebi, Iris and Rivlin, Patricia K and Nern, Aljoscha and Scheffer, Louis K and Plaza, Stephen M and Meinertzhagen, Ian A} } @article {65206, title = {The organization of the second optic chiasm of the optic lobe.}, journal = {Frontiers in Neural Circuits}, volume = {13}, year = {2019}, month = {2019 Oct 11}, pages = {65}, abstract = {

Visual pathways from the compound eye of an insect relay to four neuropils, successively the lamina, medulla, lobula, and lobula plate in the underlying optic lobe. Among these neuropils, the medulla, lobula, and lobula plate are interconnected by the complex second optic chiasm, through which the anteroposterior axis undergoes an inversion between the medulla and lobula. Given their complex structure, the projection patterns through the second optic chiasm have so far lacked critical analysis. By densely reconstructing axon trajectories using a volumetric scanning electron microscopy (SEM) technique, we reveal the three-dimensional structure of the second optic chiasm of , which comprises interleaving bundles and sheets of axons insulated from each other by glial sheaths. These axon bundles invert their horizontal sequence in passing between the medulla and lobula. Axons connecting the medulla and lobula plate are also bundled together with them but do not decussate the sequence of their horizontal positions. They interleave with sheets of projection neuron axons between the lobula and lobula plate, which also lack decussations. We estimate that approximately 19,500 cells per hemisphere, about two thirds of the optic lobe neurons, contribute to the second chiasm, most being Tm cells, with an estimated additional 2,780 T4 and T5 cells each. The chiasm mostly comprises axons and cell body fibers, but also a few synaptic elements. Based on our anatomical findings, we propose that a chiasmal structure between the neuropils is potentially advantageous for processing complex visual information in parallel. The EM reconstruction shows not only the structure of the chiasm in the adult brain, the previously unreported main topic of our study, but also suggest that the projection patterns of the neurons comprising the chiasm may be determined by the proliferation centers from which the neurons develop. Such a complex wiring pattern could, we suggest, only have arisen in several evolutionary steps.

}, issn = {1662-5110}, doi = {10.3389/fncir.2019.00065}, author = {Shinomiya, Kazunori and Horne, Jane Anne and McLin, Sari and Wiederman, Meagan and Nern, Aljoscha and Plaza, Stephen M and Meinertzhagen, Ian A} } @article {49143, title = {Juvenile hormone reveals mosaic developmental programs in the metamorphosing optic lobe of Drosophila melanogaster.}, journal = {Biology Open}, year = {2018}, month = {2018 Apr 04}, abstract = {

The development of the adult optic lobe (OL) of is directed by a wave of ingrowth of the photoreceptors over a two day period at the outset of metamorphosis which is accompanied by the appearance of the pupal-specific transcription factor Broad-Z3 (Br-Z3) and expression of early drivers in OL neurons. During this time, there are pulses of ecdysteroids that time the metamorphic events. At the outset, the transient appearance of juvenile hormone (JH) prevents precocious development of the OL caused by the ecdysteroid peak that initiates pupariation, but the artificial maintenance of JH after this time misdirects subsequent development. Axon ingrowth, Br-Z3 appearance and the expression of early drivers were unaffected, but aspects of later development such as the dendritic expansion of the lamina monopolar neurons and the expression of late drivers were suppressed. This effect of the exogenous JH mimic (JHM) pyriproxifen is lost by 24 hr after pupariation. Part of this effect of JHM is due to its suppression of the appearance of ecdysone receptor EcR-B1 that occurs after pupation and during early adult development.

}, issn = {2046-6390}, doi = {10.1242/bio.034025}, author = {Riddiford, Lynn M and Truman, James W and Nern, Aljoscha} } @article {49587, title = {Mapping Neurotransmitter Identity in the Whole-Mount Brain Using Multiplex High-Throughput Fluorescence Hybridization.}, journal = {Genetics}, volume = {211}, year = {2018}, month = {2018 Dec 18}, pages = {473-82}, abstract = {

Identifying the neurotransmitters used by specific neurons is a critical step in understanding the function of neural circuits. However, methods for the consistent and efficient detection of neurotransmitter markers remain limited. Fluorescence hybridization (FISH) enables direct labeling of type-specific mRNA in neurons. Recent advances in FISH allow this technique to be carried out in intact tissue samples such as whole-mount brains. Here, we present a FISH platform for high-throughput detection of eight common neurotransmitter phenotypes in brains. We greatly increase FISH throughput by processing samples mounted on coverslips and optimizing fluorophore choice for each probe to facilitate multiplexing. As application examples, we demonstrate cases of neurotransmitter co-expression, reveal neurotransmitter phenotypes of specific cell types and explore the onset of neurotransmitter expression in the developing optic lobe. Beyond neurotransmitter markers, our protocols can in principle be used for large scale FISH detection of any mRNA in whole-mount fly brains.

}, issn = {1943-2631}, doi = {10.1534/genetics.118.301749}, author = {Meissner, Geoffrey W and Nern, Aljoscha and Singer, Robert H and Wong, Allan M and Malkesman, Oz and Long, Xi} } @article {49529, title = {Neuron-subtype-specific expression, interaction affinities, and specificity determinants of DIP/Dpr cell recognition proteins.}, journal = {Neuron}, volume = {100}, year = {2018}, month = {2018 Nov 12}, pages = {1385-1400}, abstract = {

Binding between DIP and Dpr neuronal recognition proteins has been proposed to regulate synaptic connections between lamina and medulla neurons in the Drosophila visual system. Each lamina neuron was previously shown to express many Dprs. Here, we demonstrate, by contrast, that their synaptic partners typically express one or two DIPs, with binding specificities matched to the lamina neuron-expressed Dprs. A deeper understanding of the molecular logic of DIP/Dpr interaction requires quantitative studies on the properties of these proteins. We thus generated a quantitative affinity-based DIP/Dpr interactome for all DIP/Dpr protein family members. This revealed a broad range of affinities and identified homophilic binding for some DIPs and some Dprs. These data, along with full-length ectodomain DIP/Dpr and DIP/DIP crystal structures, led to the identification of molecular determinants of DIP/Dpr specificity. This structural knowledge, along with a comprehensive set of quantitative binding affinities, provides new tools for functional studies in\ vivo.

}, issn = {1097-4199}, doi = {10.1016/j.neuron.2018.10.046}, author = {Cosmanescu, Filip and Katsamba, Phinikoula S and Sergeeva, Alina P and Ahlsen, Goran and Patel, Saurabh D and Brewer, Joshua J and Tan, Liming and Xu, Shuwa and Xiao, Qi and Nagarkar-Jaiswal, Sonal and Nern, Aljoscha and Bellen, Hugo J and Zipursky, S Lawrence and Honig, Barry and Shapiro, Lawrence} } @article {49386, title = {An unbiased template of the Drosophila brain and ventral nerve cord.}, journal = {bioRxiv}, year = {2018}, month = {2018 Jul 25}, abstract = {

The fruit fly Drosophila melanogaster is an important model organism for neuroscience with a wide array of genetic tools that enable the mapping of individuals neurons and neural subtypes. Brain templates are essential for comparative biological studies because they enable analyzing many individuals in a common reference space. Several central brain templates exist for Drosophila, but every one is either biased, uses sub-optimal tissue preparation, is imaged at low resolution, or does not account for artifacts. No publicly available Drosophila ventral nerve cord template currently exists. In this work, we created high-resolution templates of the Drosophila brain and ventral nerve cord using the best-available technologies for imaging, artifact correction, stitching, and template construction using groupwise registration. We evaluated our central brain template against the four most competitive, publicly available brain templates and demonstrate that ours enables more accurate registration with fewer local deformations in shorter time.

}, doi = {10.1101/376384}, author = {Bogovic, John A and Otsuna, Hideo and Heinrich, Larissa and Ito, Masayoshi and Jeter, Jennifer and Meissner, Geoffrey W and Nern, Aljoscha and Colonell, Jennifer and Malkesman, Oz and Saalfeld, Stephan} } @article {48982, title = {Behavioral state modulates the ON visual motion pathway of Drosophila.}, journal = {Proceedings of the National Academy of Sciences of the United States of America}, volume = {115}, year = {2017}, month = {2017 Dec 18}, pages = {E102-11}, abstract = {

The behavioral state of an animal can dynamically modulate visual processing. In flies, the behavioral state is known to alter the temporal tuning of neurons that carry visual motion information into the central brain. However, where this modulation occurs and how it tunes the properties of this neural circuit are not well understood. Here, we show that the behavioral state alters the baseline activity levels and the temporal tuning of the first directionally selective neuron in the ON motion pathway (T4) as well as its primary input neurons (Mi1, Tm3, Mi4, Mi9). These effects are especially prominent in the inhibitory neuron Mi4, and we show that central octopaminergic neurons provide input to Mi4 and increase its excitability. We further show that octopamine neurons are required for sustained behavioral responses to fast-moving, but not slow-moving, visual stimuli in walking flies. These results indicate that behavioral-state modulation acts directly on the inputs to the directionally selective neurons and supports efficient neural coding of motion stimuli.

}, issn = {1091-6490}, doi = {10.1073/pnas.1703090115}, author = {Strother, James A and Wu, Shiuan-Tze and Rogers, Edward M and Eliason, Jessica L M and Wong, Allan M and Nern, Aljoscha and Reiser, Michael B} } @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 {48600, title = {Feature integration drives probabilistic behavior in the Drosophila escape response.}, journal = {Neuron}, volume = {94}, year = {2017}, month = {2017 Jun 21}, pages = {1190-204}, abstract = {

Animals rely on dedicated sensory circuits to extract and encode environmental features. How individual neurons integrate and translate these features into behavioral responses remains a major question. Here, we identify a visual\ projection neuron\ type that conveys predator approach information to the\ Drosophila\ giant fiber (GF) escape circuit. Genetic removal of this input during looming stimuli reveals that it encodes angular expansion velocity, whereas other input cell type(s) encode angular size. Motor program selection and timing emerge from\ linear\ integration of these two features within the GF. Linear integration improves size detection invariance over prior models and appropriately biases motor selection to rapid,\ GF-mediated\ escapes during fast looms. Our findings suggest\ feature integration, and motor control may occur as simultaneous operations within the same neuron and establish the\ Drosophila\ escape circuit as a model system in which these computations may be further dissected at the circuit level.

}, doi = {10.1016/j.neuron.2017.05.036}, author = {von Reyn, Catherine R and Nern, Aljoscha and Williamson, W Ryan and Breads, Patrick and Wu, Ming and Namiki, Shigehiro and Card, Gwyneth M} } @article {48549, title = {Neural signatures of dynamic stimulus selection in Drosophila.}, journal = {Nature Neuroscience}, volume = {20}, year = {2017}, month = {2017 Jun 12}, pages = {1104-13}, abstract = {

Many animals orient using visual cues, but how a single cue is selected from among many is poorly understood. Here we show that Drosophila ring neurons{\textemdash}central brain neurons implicated in navigation{\textemdash}display visual stimulus selection. Using\ in vivo\ two-color two-photon imaging with genetically encoded calcium indicators, we demonstrate that individual ring neurons inherit simple-cell-like receptive fields from their upstream partners. Stimuli in the contralateral visual field suppressed responses to ipsilateral stimuli in both populations. Suppression strength depended on when and where the contralateral stimulus was presented, an effect stronger in ring neurons than in their upstream inputs. This history-dependent effect on the temporal structure of visual responses, which was well modeled by a simple biphasic filter, may determine how visual references are selected for the fly{\textquoteright}s internal compass. Our approach highlights how two-color calcium imaging can help identify and localize the origins of sensory transformations across synaptically connected neural populations.

}, doi = {10.1038/nn.4581}, author = {Sun, Yi and Nern, Aljoscha and Franconville, Romain and Dana, Hod and Schreiter, Eric R and Looger, Loren L and Svoboda, Karel and Kim, Douglas S and Hermundstad, Ann M and Jayaraman, Vivek} } @article {48435, title = {Stem cell-intrinsic, seven-up-triggered temporal factor gradients diversify intermediate neural progenitors.}, journal = {Current Biology : CB}, volume = {27}, year = {2017}, month = {2017 Apr 10}, pages = {1303-13}, abstract = {

Building a sizable, complex brain requires both cellular expansion and diversification. One mechanism to achieve these goals is production of multiple transiently amplifying intermediate neural progenitors (INPs) from a single neural stem cell. Like mammalian neural stem cells, Drosophila type II neuroblasts utilize INPs to produce neurons and glia. Within a given lineage, the consecutively born INPs produce morphologically distinct progeny, presumably due to differential inheritance of temporal factors. To uncover the underlying temporal fating mechanisms, we profiled type II neuroblasts{\textquoteright} transcriptome across time. Our results reveal opposing temporal gradients of Imp and Syp RNA-binding proteins (descending and ascending, respectively). Maintaining high Imp throughout serial INP production expands the number of neurons and glia with early temporal fate at the expense of cells with late fate. Conversely, precocious upregulation of Syp reduces the number of cells with early fate. Furthermore, we reveal that the transcription factor Seven-up initiates progression of the Imp/Syp gradients. Interestingly, neuroblasts that maintain initial Imp/Syp levels can still yield progeny with a small range of early fates. We therefore propose that the Seven-up-initiated Imp/Syp gradients create coarse temporal windows within type II neuroblasts to pattern INPs, which subsequently undergo fine-tuned subtemporal patterning.

}, issn = {1879-0445}, doi = {10.1016/j.cub.2017.03.047}, author = {Ren, Qingzhong and Yang, Ching-Po and Liu, Zhiyong and Sugino, Ken and Mok, Kent and He, Yisheng and Ito, Masayoshi and Nern, Aljoscha and Otsuna, Hideo and Lee, Tzumin} } @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 {47538, title = {A screen for constituents of motor control and decision making in Drosophila reveals visual distance-estimation neurons.}, journal = {Scientific Reports}, volume = {6}, year = {2016}, month = {2016}, pages = {27000}, abstract = {

Climbing over chasms larger than step size is vital to fruit flies, since foraging and mating are achieved while walking. Flies avoid futile climbing attempts by processing parallax-motion vision to estimate gap width. To identify neuronal substrates of climbing control, we screened a large collection of fly lines with temporarily inactivated neuronal populations in a novel high-throughput assay described here. The observed climbing phenotypes were classified; lines in each group are reported. Selected lines were further analysed by high-resolution video cinematography. One striking class of flies attempts to climb chasms of unsurmountable width; expression analysis guided us to C2 optic-lobe interneurons. Inactivation of C2 or the closely related C3 neurons with highly specific intersectional driver lines consistently reproduced hyperactive climbing whereas strong or weak artificial depolarization of C2/C3 neurons strongly or mildly decreased climbing frequency. Contrast-manipulation experiments support our conclusion that C2/C3 neurons are part of the distance-evaluation system.

}, issn = {2045-2322}, doi = {10.1038/srep27000}, author = {Triphan, Tilman and Nern, Aljoscha and Roberts, Sonia F and Korff, Wyatt and Naiman, Daniel Q and Strauss, Roland} } @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 {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 {47237, title = {Ig superfamily ligand and receptor pairs expressed in synaptic partners in Drosophila.}, journal = {Cell}, volume = {163}, year = {2015}, month = {2015 Dec 17}, pages = {1756-69}, abstract = {

Information processing relies on precise patterns of synapses between neurons. The cellular recognition mechanisms regulating this specificity are poorly understood. In the medulla of the Drosophila visual system, different neurons form synaptic connections in different layers. Here, we sought to identify candidate cell recognition molecules underlying this specificity. Using RNA sequencing (RNA-seq), we show that neurons with different synaptic specificities express unique combinations of mRNAs encoding hundreds of cell surface and secreted proteins. Using RNA-seq and protein tagging, we demonstrate that 21 paralogs of the Dpr family, a subclass of immunoglobulin (Ig)-domain containing proteins, are expressed in unique combinations in homologous neurons with different layer-specific synaptic connections. Dpr interacting proteins (DIPs), comprising nine paralogs of another subclass of Ig-containing proteins, are expressed in a complementary layer-specific fashion in a subset of synaptic partners. We propose that pairs of Dpr/DIP paralogs contribute to layer-specific patterns of synaptic connectivity.

}, issn = {1097-4172}, doi = {10.1016/j.cell.2015.11.021}, author = {Tan, Liming and Zhang, Kelvin Xi and Pecot, Matthew Y and Nagarkar-Jaiswal, Sonal and Lee, Pei-Tseng and Takemura, Shin-ya and McEwen, Jason M and Nern, Aljoscha and Xu, Shuwa and Tadros, Wael and Chen, Zhenqing and Zinn, Kai and Bellen, Hugo J and Morey, Marta and Zipursky, S Lawrence} } @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 {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 {6890, title = {Cell-type-specific labeling of synapses in vivo through synaptic tagging with recombination.}, journal = {Neuron}, volume = {81}, year = {2014}, month = {2014 Jan 22}, pages = {280-93}, abstract = {

The study of synaptic specificity and plasticity in the CNS is limited by the inability to efficiently visualize synapses in identified neurons using light microscopy. Here, we describe synaptic tagging with recombination (STaR), a method for labeling endogenous presynaptic and postsynaptic proteins in a cell-type-specific fashion. We modified genomic loci encoding synaptic proteins within bacterial artificial chromosomes such that these proteins, expressed at endogenous levels and with normal spatiotemporal patterns, were labeled in an inducible fashion in specific neurons through targeted expression of site-specific recombinases. Within the Drosophila visual system, the number and distribution of synapses correlate with electron microscopy studies. Using two different recombination systems, presynaptic and postsynaptic specializations of synaptic pairs can be colabeled. STaR also allows synapses within the CNS to be studied in live animals noninvasively. In principle, STaR can be adapted to the mammalian nervous system.

}, keywords = {Animals, Drosophila, Drosophila Proteins, Electron, Genetic, Genetically Modified, Luminescent Proteins, Medulla Oblongata, Microscopy, Nerve Tissue Proteins, Neurons, Neurotransmitter, Presynaptic Terminals, Receptors, Recombinases, Recombination, Synapses, Transcription Factors, Transmission, Visual Pathways}, issn = {1097-4199}, doi = {10.1016/j.neuron.2013.12.021}, author = {Chen, Yi and Akin, Orkun and Nern, Aljoscha and Tsui, C Y Kimberly and Pecot, Matthew Y and Zipursky, S Lawrence} } @article {45175, title = {Direct observation of ON and OFF pathways in the Drosophila visual system.}, journal = {Current Biology}, volume = {24}, year = {2014}, month = {2014 May 5}, pages = {976-83}, abstract = {

Visual motion perception is critical to many animal behaviors, and flies have emerged as a powerful model system for exploring this fundamental neural computation. Although numerous studies have suggested that fly motion vision is governed by a simple neural circuit [1-3], the implementation of this circuit has remained mysterious for decades. Connectomics and neurogenetics have produced a surge in recent progress, and several studies have shown selectivity for light increments (ON) or decrements (OFF) in key elements associated with this circuit [4-7]. However, related studies have reached disparate conclusions about where this selectivity emerges and whether it plays a major role in motion vision [8-13]. To address these questions, we examined activity in the neuropil thought to be responsible for visual motion detection, the medulla, of Drosophila melanogaster in response to a range of visual stimuli using two-photon calcium imaging. We confirmed that the input neurons of the medulla, the LMCs, are not responsible for light-on and light-off selectivity. We then examined the pan-neural response of medulla neurons and found prominent selectivity for light-on and light-off in layers of the medulla associated with two anatomically derived pathways (L1/L2 associated) [14, 15]. We next examined the activity of prominent interneurons within each pathway (Mi1 and Tm1) and found that these neurons have corresponding selectivity for light-on or light-off. These results provide direct evidence that motion is computed in parallel light-on and light-off pathways, demonstrate that this selectivity emerges in neurons immediately downstream of the LMCs, and specify where crucial elements of motion computation occur.

}, issn = {1879-0445}, doi = {10.1016/j.cub.2014.03.017}, author = {Strother, James A and Nern, Aljoscha and Reiser, Michael B} } @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 {6926, title = {Multiple interactions control synaptic layer specificity in the Drosophila visual system.}, journal = {Neuron}, volume = {77}, year = {2013}, month = {2013 Jan 23}, pages = {299-310}, abstract = {

How neurons form synapses within specific layers remains poorly understood. In the Drosophila medulla, neurons target to discrete layers in a precise fashion. Here we demonstrate that the targeting of L3 neurons to a specific layer occurs in two steps. Initially, L3 growth cones project to a common domain in the outer medulla, overlapping with the growth cones of other neurons destined for a different layer through the redundant functions of N-Cadherin (CadN) and Semaphorin-1a (Sema-1a). CadN mediates adhesion within the domain and Sema-1a mediates repulsion through Plexin A (PlexA) expressed in an adjacent region. Subsequently, L3 growth cones segregate from the domain into their target layer in part through Sema-1a/PlexA-dependent remodeling. Together, our results and recent studies argue that the early medulla is organized into common domains, comprising processes bound for different layers, and that discrete layers later emerge through successive interactions between processes within domains and developing layers.

}, keywords = {Animals, Cell Communication, Drosophila, Drosophila Proteins, Genetically Modified, Growth Cones, Medulla Oblongata, Protein Interaction Mapping, Synapses, Visual Pathways}, issn = {1097-4199}, doi = {10.1016/j.neuron.2012.11.007}, author = {Pecot, Matthew Y and Tadros, Wael and Nern, Aljoscha and Bader, Maya and Chen, Yi and Zipursky, S Lawrence} } @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 {65028, title = {Columnar cells necessary for motion responses of wide-field visual interneurons in Drosophila.}, journal = {J Comp Physiol A Neuroethol Sens Neural Behav Physiol}, volume = {198}, year = {2012}, month = {2012 May 01}, pages = {389-95}, abstract = {

Wide-field motion-sensitive neurons in the lobula plate (lobula plate tangential cells, LPTCs) of the fly have been studied for decades. However, it has never been conclusively shown which cells constitute their major presynaptic elements. LPTCs are supposed to be rendered directionally selective by integrating excitatory as well as inhibitory input from many local motion detectors. Based on their stratification in the different layers of the lobula plate, the columnar cells T4 and T5 are likely candidates to provide some of this input. To study their role in motion detection, we performed whole-cell recordings from LPTCs in Drosophila with T4 and T5 cells blocked using two different genetically encoded tools. In these flies, motion responses were abolished, while flicker responses largely remained. We thus demonstrate that T4 and T5 cells indeed represent those columnar cells that provide directionally selective motion information to LPTCs. Contrary to previous assumptions, flicker responses seem to be largely mediated by a third, independent pathway. This work thus represents a further step towards elucidating the complete motion detection circuitry of the fly.

}, keywords = {Animals, Drosophila, Ganglia, Invertebrate, Interneurons, Motion Perception, Nerve Net, Sensory Receptor Cells, Visual Fields, Visual Pathways}, issn = {1432-1351}, doi = {10.1007/s00359-012-0716-3}, author = {Schnell, Bettina and Raghu, Shamprasad Varija and Nern, Aljoscha and Borst, Alexander} } @article {6501, title = {Organization and metamorphosis of glia in the Drosophila visual system.}, journal = {The Journal of Comparative Neurology}, volume = {520}, year = {2012}, month = {2012 Jul 1}, pages = {2067-85}, abstract = {

The visual system of Drosophila is an excellent model for determining the interactions that direct the differentiation of the nervous system{\textquoteright}s many unique cell types. Glia are essential not only in the development of the nervous system, but also in the function of those neurons with which they become associated in the adult. Given their role in visual system development and adult function we need to both accurately and reliably identify the different subtypes of glia, and to relate the glial subtypes in the larval brain to those previously described for the adult. We viewed driver expression in subsets of larval eye disc glia through the earliest stages of pupal development to reveal the counterparts of these cells in the adult. Two populations of glia exist in the lamina, the first neuropil of the adult optic lobe: those that arise from precursors in the eye-disc/optic stalk and those that arise from precursors in the brain. In both cases, a single larval source gives rise to at least three different types of adult glia. Furthermore, analysis of glial cell types in the second neuropil, the medulla, has identified at least four types of astrocyte-like (reticular) glia. Our clarification of the lamina{\textquoteright}s adult glia and identification of their larval origins, particularly the respective eye disc and larval brain contributions, begin to define developmental interactions which establish the different subtypes of glia.

}, keywords = {Animals, Biological, Drosophila, Drosophila Proteins, Electron, Eye, Genetically Modified, Green Fluorescent Proteins, Horseradish Peroxidase, Metamorphosis, Microscopy, Neuroglia, Neuropil, Nonmammalian, Optic Chiasm, Optic Lobe, Transmission, Visual Pathways}, issn = {1096-9861}, doi = {10.1002/cne.23071}, author = {Edwards, Tara N and Nuschke, Andrea C and Nern, Aljoscha and Meinertzhagen, Ian A.} } @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 {65032, title = {Robo-3--mediated repulsive interactions guide R8 axons during Drosophila visual system development.}, journal = {Proc Natl Acad Sci U S A}, volume = {108}, year = {2011}, month = {2011 May 03}, pages = {7571-6}, abstract = {

The formation of neuronal connections requires the precise guidance of developing axons toward their targets. In the Drosophila visual system, photoreceptor neurons (R cells) project from the eye into the brain. These cells are grouped into some 750 clusters comprised of eight photoreceptors or R cells each. R cells fall into three classes: R1 to R6, R7, and R8. Posterior R8 cells are the first to project axons into the brain. How these axons select a specific pathway is not known. Here, we used a microarray-based approach to identify genes expressed in R8 neurons as they extend into the brain. We found that Roundabout-3 (Robo3), an axon-guidance receptor, is expressed specifically and transiently in R8 growth cones. In wild-type animals, posterior-most R8 axons extend along a border of glial cells demarcated by the expression of Slit, the secreted ligand of Robo3. In contrast, robo3 mutant R8 axons extend across this border and fasciculate inappropriately with other axon tracts. We demonstrate that either Robo1 or Robo2 rescues the robo3 mutant phenotype when each is knocked into the endogenous robo3 locus separately, indicating that R8 does not require a function unique to the Robo3 paralog. However, persistent expression of Robo3 in R8 disrupts the layer-specific targeting of R8 growth cones. Thus, the transient cell-specific expression of Robo3 plays a crucial role in establishing neural circuits in the Drosophila visual system by selectively regulating pathway choice for posterior-most R8 growth cones.

}, keywords = {Animals, Axons, Drosophila, Drosophila Proteins, Growth Cones, Image Processing, Computer-Assisted, Immunohistochemistry, Microarray Analysis, Nerve Tissue Proteins, Photoreceptor Cells, Invertebrate, Receptors, Immunologic, Visual Pathways}, issn = {1091-6490}, doi = {10.1073/pnas.1103419108}, author = {Pappu, Kartik S and Morey, Marta and Nern, Aljoscha and Spitzweck, Bettina and Dickson, Barry J and Zipursky, S L} }