@article {65810, title = {Comparative Connectomics Reveals How Partner Identity, Location, and Activity Specify Synaptic Connectivity in Drosophila.}, journal = {Neuron}, volume = {109}, year = {2021}, month = {2021 Jan 06}, pages = {105-22}, abstract = {

The mechanisms by which synaptic partners recognize each other and establish appropriate numbers of connections during embryonic development to form functional neural circuits are poorly understood. We combined electron microscopy reconstruction, functional imaging of neural activity, and behavioral experiments to elucidate the roles of (1) partner identity, (2) location, and (3) activity in circuit assembly in the embryonic nerve cord of Drosophila. We found that postsynaptic partners are able to find and connect to their presynaptic partners even when these have been shifted to ectopic locations or silenced. However, orderly positioning of axon terminals by positional cues and synaptic activity is required for appropriate numbers of connections between specific partners, for appropriate balance between excitatory and inhibitory connections, and for appropriate functional connectivity and behavior. Our study reveals with unprecedented resolution the fine connectivity effects of multiple factors that work together to control the assembly of neural circuits.

}, issn = {1097-4199}, doi = {10.1016/j.neuron.2020.10.004}, author = {Valdes-Aleman, Javier and Fetter, Richard D and Sales, Emily C and Heckman, Emily L and Venkatasubramanian, Lalanti and Doe, Chris Q and Landgraf, Matthias and Cardona, Albert and Zlatic, Marta} } @article {67262, title = {A developmental framework linking neurogenesis and circuit formation in the Drosophila CNS.}, journal = {eLife}, volume = {10}, year = {2021}, month = {2021 May 11}, abstract = {

The mechanisms specifying neuronal diversity are well-characterized, yet it remains unclear how or if these mechanisms regulate neural circuit assembly. To address this, we mapped the developmental origin of 160 interneurons from seven bilateral neural progenitors (neuroblasts), and identify them in a synapse-scale TEM reconstruction of the larval CNS. We find that lineages concurrently build the sensory and motor neuropils by generating sensory and motor hemilineages in a Notch-dependent manner. Neurons in a hemilineage share common synaptic targeting within the neuropil, which is further refined based on neuronal temporal identity. Connectome analysis shows that hemilineage-temporal cohorts share common connectivity. Finally, we show that proximity alone cannot explain the observed connectivity structure, suggesting hemilineage/temporal identity confers an added layer of specificity. Thus, we demonstrate that the mechanisms specifying neuronal diversity also govern circuit formation and function, and that these principles are broadly applicable throughout the nervous system.

}, issn = {2050-084X}, doi = {10.7554/eLife.67510}, author = {Mark, Brandon and Lai, Sen-Lin and Zarin, Aref Arzan and Manning, Laurina and Pollington, Heather Q and Litwin-Kumar, Ashok and Cardona, Albert and Truman, James W and Doe, Chris Q} } @article {65258, title = {A multilayer circuit architecture for the generation of distinct locomotor behaviors in .}, journal = {eLlife}, volume = {8}, year = {2019}, month = {2019 Dec 23}, abstract = {

Animals generate diverse motor behaviors, yet how the same motor neurons (MNs) generate two distinct or antagonistic behaviors remains an open question. Here we characterize larval muscle activity patterns and premotor/motor circuits to understand how they generate forward and backward locomotion. We show that all body wall MNs are activated during both behaviors, but a subset of MNs change recruitment timing for each behavior. We used TEM to reconstruct a full segment of all 60 MNs and 236 premotor neurons (PMNs), including differentially-recruited MNs. Analysis of this comprehensive connectome identified PMN-MN {\textquoteright}labeled line{\textquoteright} connectivity; PMN-MN combinatorial connectivity; asymmetric neuronal morphology; and PMN-MN circuit motifs that could all contribute to generating distinct behaviors. We generated a recurrent network model that reproduced the observed behaviors, and used functional optogenetics to validate selected model predictions. This PMN-MN connectome will provide a foundation for analyzing the full suite of larval behaviors.

}, issn = {2050-084X}, doi = {10.7554/eLife.51781}, author = {Zarin, Aref Arzan and Mark, Brandon and Cardona, Albert and Litwin-Kumar, Ashok and Doe, Chris Q} } @article {49347, title = {MDN brain descending neurons coordinately activate backward and inhibit forward locomotion.}, journal = {eLife}, volume = {7}, year = {2018}, month = {2018 Aug 02}, abstract = {

Command-like descending neurons can induce many behaviors, such as backward locomotion, escape, feeding, courtship, egg-laying, or grooming (we define {\textquoteright}command-like neuron{\textquoteright} as a neuron whose activation elicits or {\textquoteright}commands{\textquoteright} a specific behavior). In most animals it remains unknown how neural circuits switch between antagonistic behaviors: via top-down activation/inhibition of antagonistic circuits or via reciprocal inhibition between antagonistic circuits. Here we use genetic screens, intersectional genetics, circuit reconstruction by electron microscopy, and functional optogenetics to identify a bilateral pair of larval {\textquoteright}mooncrawler descending neurons{\textquoteright} (MDNs) with command-like ability to coordinately induce backward locomotion and block forward locomotion; the former by stimulating a backward-active premotor neuron, and the latter by disynaptic inhibition of a forward-specific premotor neuron. In contrast, direct monosynaptic reciprocal inhibition between forward and backward circuits was not observed. Thus, MDNs coordinate a transition between antagonistic larval locomotor behaviors. Interestingly, larval MDNs persist into adulthood, where they can trigger backward walking. Thus, MDNs induce backward locomotion in both limbless and limbed animals.

}, issn = {2050-084X}, doi = {10.7554/eLife.38554}, author = {Carreira-Rosario, Arnaldo and Zarin, Aref Arzan and Clark, Matthew Q and Manning, Laurina and Fetter, Richard D and Cardona, Albert and Doe, Chris Q} } @article {47135, title = {Even-Skipped(+) interneurons are core components of a sensorimotor circuit that maintains left-right symmetric muscle contraction amplitude.}, journal = {Neuron}, volume = {88}, year = {2015}, month = {2015 Oct 21}, pages = {314-29}, abstract = {

Bilaterally symmetric motor patterns-those in which left-right pairs of muscles contract synchronously and with equal amplitude (such as breathing, smiling,\ whisking, and locomotion)-are widespread throughout the animal kingdom. Yet, surprisingly little is known about the underlying neural circuits. We performed a thermogenetic screen to identify neurons required for bilaterally symmetric locomotion in Drosophila larvae and identified the evolutionarily conserved Even-skipped(+) interneurons (Eve/Evx). Activation or ablation of Eve(+) interneurons disrupted bilaterally symmetric muscle contraction amplitude, without affecting the timing of motor output. Eve(+) interneurons are not rhythmically active and thus function independently of the locomotor CPG. GCaMP6 calcium imaging of Eve(+) interneurons in freely moving larvae showed left-right asymmetric activation that correlated with larval behavior. TEM reconstruction of Eve(+) interneuron inputs and outputs showed that the Eve(+) interneurons are at the core of a sensorimotor circuit capable of detecting and modifying body wall muscle contraction.

}, issn = {1097-4199}, doi = {10.1016/j.neuron.2015.09.009}, author = {Heckscher, Ellie S and Zarin, Aref Arzan and Faumont, Serge and Clark, Matthew Q and Manning, Laurina and Fushiki, Akira and Schneider-Mizell, Casey M and Fetter, Richard D and Truman, James W and Zwart, Maarten F and Landgraf, Matthias and Cardona, Albert and Lockery, Shawn R and Doe, Chris Q} } @article {45418, title = {Atlas-builder software and the eNeuro atlas: resources for developmental biology and neuroscience.}, journal = {Development}, volume = {141}, year = {2014}, month = {2014 Jun}, pages = {2524-32}, abstract = {

A major limitation in understanding embryonic development is the lack of cell type-specific markers. Existing gene expression and marker atlases provide valuable tools, but they typically have one or more limitations: a lack of single-cell resolution; an inability to register multiple expression patterns to determine their precise relationship; an inability to be upgraded by users; an inability to compare novel patterns with the database patterns; and a lack of three-dimensional images. Here, we develop new {\textquoteright}atlas-builder{\textquoteright} software that overcomes each of these limitations. A newly generated atlas is three-dimensional, allows the precise registration of an infinite number of cell type-specific markers, is searchable and is open-ended. Our software can be used to create an atlas of any tissue in any organism that contains stereotyped cell positions. We used the software to generate an {\textquoteright}eNeuro{\textquoteright} atlas of the Drosophila embryonic CNS containing eight transcription factors that mark the major CNS cell types (motor neurons, glia, neurosecretory cells and interneurons). We found neuronal, but not glial, nuclei occupied stereotyped locations. We added 75 new Gal4 markers to the atlas to identify over 50\% of all interneurons in the ventral CNS, and these lines allowed functional access to those interneurons for the first time. We expect the atlas-builder software to benefit a large proportion of the developmental biology community, and the eNeuro atlas to serve as a publicly accessible hub for integrating neuronal attributes - cell lineage, gene expression patterns, axon/dendrite projections, neurotransmitters--and linking them to individual neurons.

}, keywords = {Animals, Axons, Cell Lineage, Central Nervous System, Computational Biology, Databases, Genetic, Dendrites, Drosophila melanogaster, Drosophila Proteins, Gene Expression Profiling, Gene Expression Regulation, Developmental, Genetic Markers, Interneurons, Mice, Neurons, Neurotransmitter Agents, Rats, Software}, issn = {1477-9129}, doi = {10.1242/dev.108720}, author = {Heckscher, Ellie S and Long, Fuhui and Layden, Michael J and Chuang, Chein-Hui and Manning, Laurina and Richart, Jourdain and Pearson, Joseph C and Crews, Stephen T and Peng, Hanchuan and Myers, Eugene and Doe, Chris Q} } @article {6515, title = {A resource for manipulating gene expression and analyzing cis-regulatory modules in the Drosophila CNS.}, journal = {Cell Reports}, volume = {2}, year = {2012}, month = {2012 Oct 25}, pages = {1002-13}, abstract = {

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

}, keywords = {Animals, Central Nervous System, Databases, Drosophila, Drosophila Proteins, Embryo, Factual, Female, Gene Expression, Genes, Genetically Modified, Internet, Male, Nonmammalian, Regulatory Elements, Reporter, Transcription Factors, Transcriptional}, issn = {2211-1247}, doi = {10.1016/j.celrep.2012.09.009}, author = {Manning, Laurina and Heckscher, Ellie S and Purice, Maria D and Roberts, Jourdain and Bennett, Alysha L and Kroll, Jason R and Pollard, Jill L and Strader, Marie E and Lupton, Josh R and Dyukareva, Anna V and Doan, Phuong Nam and Bauer, David M and Wilbur, Allison N and Tanner, Stephanie and Kelly, Jimmy J and Lai, Sen-Lin and Tran, Khoa D and Kohwi, Minoree and Laverty, Todd R and Pearson, Joseph C and Crews, Stephen T and Rubin, Gerald M and Doe, Chris Q} } @article {988, title = {Tools for neuroanatomy and neurogenetics in Drosophila.}, journal = {Proceedings of the National Academy of Sciences of the United States of America}, volume = {105}, year = {2008}, month = {2008 Jul 15}, pages = {9715-20}, abstract = {

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

}, keywords = {Animals, Biomedical Research, Brain, Developmental, Drosophila melanogaster, Enhancer Elements, Gene Expression Regulation, Genes, Genetic, Genetically Modified, Insect, Neurons, Neurosciences, Recombination}, issn = {1091-6490}, doi = {https://doi.org/10.1073/pnas.0803697105}, author = {Pfeiffer, Barret D and Jenett, Arnim and Hammonds, Ann S and Ngo, Teri-T B and Misra, Sima and Murphy, Christine and Scully, Audra and Carlson, Joseph W and Wan, Kenneth H and Laverty, Todd R and Mungall, Chris and Svirskas, Rob and Kadonaga, James T and Doe, Chris Q and Eisen, Michael B and Celniker, Susan E and Rubin, Gerald M} }