@article {69608, title = {Serotonergic modulation of swallowing in a complete fly vagus nerve connectome.}, journal = {Curr Biol}, year = {2024}, month = {2024 Sep 05}, abstract = {

How the body interacts with the brain to perform vital life functions, such as feeding, is a fundamental issue in physiology and neuroscience. Here, we use a whole-animal scanning transmission electron microscopy volume of Drosophila to map the neuronal circuits that connect the entire enteric nervous system to the brain via the insect vagus nerve at synaptic resolution. We identify a gut-brain feedback loop in which Piezo-expressing mechanosensory neurons in the esophagus convey food passage information to a cluster of six serotonergic neurons in the brain. Together with information on food value, these central serotonergic neurons enhance the activity of serotonin receptor 7-expressing motor neurons that drive swallowing. This elemental circuit architecture includes an axo-axonic synaptic connection from the glutamatergic motor neurons innervating the esophageal muscles onto the mechanosensory neurons that signal to the serotonergic neurons. Our analysis elucidates a neuromodulatory sensory-motor system in which ongoing motor activity is strengthened through serotonin upon completion of a biologically meaningful action, and it may represent an ancient form of motor learning.

}, issn = {1879-0445}, doi = {10.1016/j.cub.2024.08.025}, url = {https://doi.org/10.1016/j.cub.2024.08.025}, author = {Schoofs, Andreas and Miroschnikow, Anton and Schlegel, Philipp and Zinke, Ingo and Schneider-Mizell, Casey M and Cardona, Albert and Pankratz, Michael J} } @article {67310, title = {Unveiling the sensory and interneuronal pathways of the neuroendocrine connectome in Drosophila.}, journal = {eLife}, volume = {10}, year = {2021}, month = {2021 Jun 04}, abstract = {

Neuroendocrine systems in animals maintain organismal homeostasis and regulate stress response. Although a great deal of work has been done on the neuropeptides and hormones that are released and act on target organs in the periphery, the synaptic inputs onto these neuroendocrine outputs in the brain are less well understood. Here, we use the transmission electron microscopy reconstruction of a whole central nervous system in the larva to elucidate the sensory pathways and the interneurons that provide synaptic input to the neurosecretory cells projecting to the endocrine organs. Predicted by network modeling, we also identify a new carbon dioxide-responsive network that acts on a specific set of neurosecretory cells and that includes those expressing corazonin (Crz) and diuretic hormone 44 (Dh44) neuropeptides. Our analysis reveals a neuronal network architecture for combinatorial action based on sensory and interneuronal pathways that converge onto distinct combinations of neuroendocrine outputs.

}, issn = {2050-084X}, doi = {10.7554/eLife.65745}, author = {H{\"u}ckesfeld, Sebastian and Schlegel, Philipp and Miroschnikow, Anton and Schoofs, Andreas and Zinke, Ingo and Haubrich, Andr{\'e} N and Schneider-Mizell, Casey M and Truman, James W and Fetter, Richard D and Cardona, Albert and Pankratz, Michael J} } @article {65373, title = {Recurrent architecture for adaptive regulation of learning in the insect brain.}, journal = {Nature Neuroscience}, volume = {23}, year = {2020}, month = {2020 Mar 23}, pages = {544-55}, abstract = {

Dopaminergic neurons (DANs) drive learning across the animal kingdom, but the upstream circuits that regulate their activity and thereby learning remain poorly understood. We provide a synaptic-resolution connectome of the circuitry upstream of all DANs in a learning center, the mushroom body of Drosophila larva. We discover afferent sensory pathways and a large population of neurons that provide feedback from mushroom body output neurons and link distinct memory systems (aversive and appetitive). We combine this with functional studies of DANs and their presynaptic partners and with comprehensive circuit modeling. We find that DANs compare convergent feedback from aversive and appetitive systems, which enables the computation of integrated predictions that may improve future learning. Computational modeling reveals that the discovered feedback motifs increase model flexibility and performance on learning tasks. Our study provides the most detailed view to date of biological circuit motifs that support associative learning.

}, issn = {1546-1726}, doi = {10.1038/s41593-020-0607-9}, author = {Eschbach, Claire and Fushiki, Akira and Winding, Michael and Schneider-Mizell, Casey M and Shao, Mei and Arruda, Rebecca and Eichler, Katharina and Valdes-Aleman, Javier and Ohyama, Tomoko and Thum, Andreas S and Gerber, Bertram and Fetter, Richard D and Truman, James W and Litwin-Kumar, Ashok and Cardona, Albert and Zlatic, Marta and Cardona, Albert and Zlatic, Marta} } @article {49583, title = {Convergence of monosynaptic and polysynaptic sensory paths onto common motor outputs in a feeding connectome.}, journal = {eLife}, volume = {7}, year = {2018}, month = {2018 Dec 11}, abstract = {

We reconstructed, from a whole CNS EM volume, the synaptic map of input and output neurons that underlie food intake behavior of larvae. Input neurons originate from enteric, pharyngeal and external sensory organs and converge onto seven distinct sensory synaptic compartments within the CNS. Output neurons consist of feeding motor, serotonergic modulatory and neuroendocrine neurons. Monosynaptic connections from a set of sensory synaptic compartments cover the motor, modulatory and neuroendocrine targets in overlapping domains. Polysynaptic routes are superimposed on top of monosynaptic connections, resulting in divergent sensory paths that converge on common outputs. A completely different set of sensory compartments is connected to the mushroom body calyx. The mushroom body output neurons are connected to interneurons that directly target the feeding output neurons. Our results illustrate a circuit architecture in which monosynaptic and multisynaptic connections from sensory inputs traverse onto output neurons via a series of converging paths.

}, issn = {2050-084X}, doi = {10.7554/eLife.40247}, author = {Miroschnikow, Anton and Schlegel, Philipp and Schoofs, Andreas and Hueckesfeld, Sebastian and Li, Feng and Schneider-Mizell, Casey M and Fetter, Richard D and Truman, James W and Cardona, Albert and Pankratz, Michael J} } @article {48720, title = {The complete connectome of a learning and memory centre in an insect brain.}, journal = {Nature}, volume = {548}, year = {2017}, month = {2017 Aug 09}, pages = {175-182}, abstract = {

Associating stimuli with positive or negative reinforcement is essential for survival, but a complete wiring diagram of a higher-order circuit supporting associative memory has not been previously available. Here we reconstruct one such circuit at synaptic resolution, the Drosophila larval mushroom body. We find that most Kenyon cells integrate random combinations of inputs but that a subset receives stereotyped inputs from single projection neurons. This organization maximizes performance of a model output neuron on a stimulus discrimination task. We also report a novel canonical circuit in each mushroom body compartment with previously unidentified connections: reciprocal Kenyon cell to modulatory neuron connections, modulatory neuron to output neuron connections, and a surprisingly high number of recurrent connections between Kenyon cells. Stereotyped connections found between output neurons could enhance the selection of learned behaviours. The complete circuit map of the mushroom body should guide future functional studies of this learning and memory centre.

}, issn = {1476-4687}, doi = {10.1038/nature23455}, author = {Eichler, Katharina and Li, Feng and Litwin-Kumar, Ashok and Park, Youngser and Andrade, Ingrid and Schneider-Mizell, Casey M and Saumweber, Timo and Huser, Annina and Eschbach, Claire and Gerber, Bertram and Fetter, Richard D and Truman, James W and Priebe, Carey E and Abbott, L F and Thum, Andreas S and Zlatic, Marta and Cardona, Albert} } @article {48888, title = {Conserved neural circuit structure across Drosophila larva development revealed by comparative connectomics.}, journal = {eLife}, volume = {6}, year = {2017}, month = {2017 Oct 23}, pages = {e29089}, abstract = {

During postembryonic development, the nervous system must adapt to a growing body. How changes in neuronal structure and connectivity contribute to the maintenance of appropriate circuit function remains unclear. In a previous paper (Schneider-Mizell et al., 2016), we measured the cellular neuroanatomy underlying synaptic connectivity in Drosophila. Here, we examined how neuronal morphology and connectivity change between 1st instar and 3rd instar larval stages using serial section electron microscopy. We reconstructed nociceptive circuits in a larva of each stage and found consistent topographically arranged connectivity between identified neurons. Five-fold increases in each size, number of terminal dendritic branches, and total number of synaptic inputs were accompanied by cell-type specific connectivity changes that preserved the fraction of total synaptic input associated with each presynaptic partner. We propose that precise patterns of structural growth act to conserve the computational function of a circuit, for example determining the location of a dangerous stimulus.

}, issn = {2050-084X}, doi = {10.7554/eLife.29089}, author = {Gerhard, Stephan and Andrade, Ingrid and Fetter, Richard D and Cardona, Albert and Schneider-Mizell, Casey M} } @article {48847, title = {Organization of the drosophila larval visual circuit.}, journal = {eLife}, year = {2017}, month = {2017 Aug 8}, pages = {e28387}, abstract = {

Visual systems transduce, process and transmit light-dependent environmental cues. Computation of visual features depends on photoreceptor neuron types (PR) present, organization of the eye and wiring of the underlying neural circuit. Here, we describe the circuit architecture of the visual system of\ Drosophila\ larvae by mapping the synaptic wiring diagram and neurotransmitters. By contacting different targets, the two larval PR-subtypes create two converging pathways potentially underlying the computation of ambient light intensity and temporal light changes already within this first visual processing center. Locally processed visual information then signals via dedicated projection interneurons to higher brain areas including the lateral horn and mushroom body. The stratified structure of the larval optic neuropil (LON) suggests common organizational principles with the adult fly and vertebrate visual systems. The complete synaptic wiring diagram of the LON paves the way to understanding how circuits with reduced numerical complexity control wide ranges of behaviors.

}, doi = {10.7554/eLife.28387}, author = {Larderet, Ivan and Fritsch, Pauline M J and Gendre, Nanae and Neagu-Maier, G Larisa and Fetter, Richard D and Schneider-Mizell, Casey M and Truman, James W and Zlatic, Marta and Cardona, Albert and Sprecher, Simon G} } @article {47935, title = {Competitive disinhibition mediates behavioral choice and sequences in Drosophila.}, journal = {Cell}, volume = {167}, year = {2016}, month = {2016 Oct 5}, pages = {858-70}, abstract = {

Even a simple sensory stimulus can elicit distinct innate behaviors and sequences. During sensorimotor decisions, competitive interactions among neurons that promote distinct behaviors must ensure the selection and maintenance of one behavior, while suppressing others. The circuit implementation of these competitive interactions is still an open question. By combining comprehensive electron microscopy reconstruction of inhibitory interneuron networks, modeling, electrophysiology, and behavioral studies, we determined the circuit mechanisms that\ contribute to the Drosophila larval sensorimotor decision to startle, explore, or perform a sequence of the two in response to a mechanosensory stimulus. Together, these studies reveal that, early in sensory processing, (1) reciprocally connected feedforward inhibitory interneurons implement behavioral choice, (2) local feedback disinhibition provides positive feedback that consolidates and maintains the chosen behavior, and (3) lateral disinhibition promotes sequence transitions. The combination of these interconnected circuit motifs can implement both behavior selection and the serial organization of behaviors into a sequence.

}, issn = {1097-4172}, doi = {10.1016/j.cell.2016.09.009}, author = {Jovanic, Tihana and Schneider-Mizell, Casey M and Shao, Mei and Masson, Jean-Baptiste and Denisov, Gennady and Fetter, Richard D and Mensh, Brett D and Truman, James W and Cardona, Albert and Zlatic, Marta} } @article {48045, title = {Synaptic transmission parallels neuromodulation in a central food-intake circuit.}, journal = {eLife}, year = {2016}, month = {2016 Nov 15}, abstract = {

NeuromedinU is a potent regulator of food intake and activity in mammals. In\ Drosophila, neurons producing the homologous neuropeptide hugin regulate feeding and locomotion in a similar manner. Here, we use EM-based reconstruction to generate the entire connectome of hugin-producing neurons in the\ Drosophila\ larval CNS. We demonstrate that hugin neurons use synaptic transmission in addition to peptidergic neuromodulation and identify acetylcholine as a key transmitter. Hugin neuropeptide and acetylcholine are both necessary for the regulatory effect on feeding. We further show that subtypes of hugin neurons connect chemosensory to endocrine system by combinations of synaptic and peptide-receptor connections. Targets include endocrine neurons producing DH44, a CRH-like peptide, and insulin-like peptides. Homologs of these peptides are likewise downstream of neuromedinU, revealing striking parallels in flies and mammals. We propose that hugin neurons are part of an ancient physiological control system that has been conserved at functional and molecular level.

}, doi = {10.7554/eLife.16799}, author = {Schlegel, Philipp and Texada, Michael J and Miroschnikow, Anton and Schoofs, Andreas and H{\"u}ckesfeld, Sebastian and Peters, Marc and Schneider-Mizell, Casey M and Lacin, Haluk and Li, Feng and Fetter, Richard D and Truman, James W and Cardona, Albert and Pankratz, Michael J} } @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} }