@article {70138, title = {The Connectome Interpreter Toolkit}, journal = {bioRxiv}, year = {2025}, month = {2025 Sep 30}, abstract = {

Complete synaptic wiring diagrams, or connectomes, of whole brains open new opportunities for studying the structure-function relationship of neural circuits. However, the large number of nodes and edges in the graphs makes the analysis challenging. Here, we present the Connectome Interpreter (https://github.com/YijieYin/connectome_interpreter), an open-source software toolkit for efficient graph traversal to find polysynaptic pathways, compute the effective connectivity and receptive fields for arbitrarily deep neurons, slice out subcircuits, and non-linear but differentiable circuit modeling, implemented using efficient approaches tailored to the high density and size of connectomes such as that of the fruit fly Drosophila melanogaster. Our approach delivers results orders of magnitude faster than conventional methods in consumer computer hardware. We demonstrate the capabilities of our toolkit with select applications, including quantifying the density of polysynaptic connections in the whole adult fruit fly brain, exploring the necessity for non-linearities in circuit modeling, and combining known function of neurons with the connectome to aid in formulating hypotheses of circuit function.

}, doi = {10.1101/2025.09.29.679410}, url = {https://www.biorxiv.org/content/early/2025/09/30/2025.09.29.679410}, author = {Yin, Yijie and Hoeller, Judith and Mathiasen, Alexander and Tsang, Joanna and Charrier, Monique Estelle and Cardona, Albert} } @article {69985, title = {Cross-species comparative connectomics reveals the evolution of an olfactory circuit}, journal = {bioRxiv}, year = {2025}, month = {2025 Jun 11}, abstract = {

Animal behavioural diversity ultimately stems from variation in neural circuitry, yet how central neural circuits evolve remains poorly understood. Studies of neural circuit evolution often focus on a few elements within a network. However, addressing fundamental questions in evolutionary neuroscience, such as whether some elements are more evolvable than others, requires a more global and unbiased approach. Here, we used synapse-level comparative connectomics to examine how an entire olfactory circuit evolves. We compared the full antennal lobe connectome of the larvae of two closely related Drosophila species, D. melanogaster and D. erecta, which differ in their ecological niches and odour-driven behaviours. We found that evolutionary change is unevenly distributed across the network. Some features, including neuron types, neuron numbers and interneuron-to-interneuron connectivity, are highly conserved. These conserved elements delineate a core circuit blueprint presumably required for fundamental olfactory processing. Superimposed on this scaffold, we find rewiring changes that mirror each species ecologies, including a systematic shift in the excitation-to-inhibition balance in the feedforward pathways. We further show that some neurons have changed more than others, and that even within individual neurons some synaptic elements remain conserved while others display major species-specific changes, suggesting evolutionary hot-spots within the circuit. Our findings reveal constrained and adaptable elements within olfactory networks, and establish a framework for identifying general principles in the evolution of neural circuits underlying behaviour.

}, doi = {10.1101/2025.06.11.659158}, url = {https://www.biorxiv.org/content/early/2025/06/11/2025.06.11.659158}, author = {Roberts, Ruairi and Giez, Christoph and Dhawan, Serene and Pang, Song and Randel, Nadine and Zhiyuan, Lu and Gong, Hui and Dekens, Leonard and DiFrisco, James and Xu, C Shan and Hess, Harald and Zlatic, Marta and Cardona, Albert and Prieto-Godino, Lucia L.} } @article {69996, title = {Neural substrates of cold nociception in Drosophila larva}, journal = {eLife}, volume = {12}, year = {2025}, month = {2025 Jun 13}, pages = {RP91582}, abstract = {

Metazoans detect and differentiate between innocuous (non-painful) and/or noxious (harmful) environmental cues using primary sensory neurons, which serve as the first node in a neural network that computes stimulus-specific behaviors to either navigate away from injury-causing conditions or to perform protective behaviors that mitigate extensive injury. The ability of an animal to detect and respond to various sensory stimuli depends upon molecular diversity in the primary sensors and the underlying neural circuitry responsible for the relevant behavioral action selection. Recent studies in Drosophila larvae have revealed that somatosensory class III multidendritic (CIII md) neurons function as multimodal sensors regulating distinct behavioral responses to innocuous mechanical and nociceptive thermal stimuli. Recent advances in circuit bases of behavior have identified and functionally validated \Drosophila larval somatosensory circuitry involved in innocuous (mechanical) and noxious (heat and mechanical) cues. However, central processing of cold nociceptive cues remained unexplored. We implicate multisensory integrators (Basins), premotor (Down-and-Back), and projection (A09e and TePns) neurons as neural substrates required for cold-evoked behavioral and calcium responses. Neural silencing of cell types downstream of CIII md neurons led to significant reductions in cold-evoked behaviors, and neural co-activation of CIII md neurons plus additional cell types facilitated larval contraction (CT) responses. Further, we demonstrate that optogenetic activation of CIII md neurons evokes calcium increases in these neurons. Finally, we characterize the premotor to motor neuron network underlying cold-evoked CT and delineate the muscular basis of CT response. Collectively, we demonstrate how Drosophila larvae process cold stimuli through functionally diverse somatosensory circuitry responsible for generating stimulus-specific behaviors.

}, keywords = {cold nociception, somatosensory circuits, thermosensation, \textitDrosophila}, issn = {2050-084X}, doi = {10.7554/eLife.91582}, url = {https://doi.org/10.7554/eLife.91582}, author = {Patel, Atit A and Cardona, Albert and Cox, Daniel N}, editor = {Tuthill, John C and Sen, Sonia Q} } @article {69525, title = {iTome Volumetric Serial Sectioning Apparatus for TEM}, journal = {bioRxiv}, year = {2024}, month = {2024 Jul 07}, abstract = {

An automated ultra-microtome capable of sectioning thousands of ultrathin sections onto standard TEM slot grids was developed and used to section: a complete Drosophila melanogaster first-instar larva, three sections per grid, into 4,866 34-nm-thick sections with a cutting and pickup success rate of 99.74\%; 30 microns of mouse cortex measuring roughly 400 um x 2000 um at 40 nm per slice; and a full adult Drosophila brain and ventral nerve column into 9,300 sections with a pickup success rate of 99.95\%. The apparatus uses optical interferometers to monitor a reference distance between the cutting knife and multiple sample blocks. Cut sections are picked up from the knife-boat water surface while they are still anchored to the cutting knife. Blocks without embedded tissue are used to displace tissue-containing sections away from the knife edge so that the tissue regions end up in the grid slot instead of on the grid rim.

}, doi = {10.1101/2024.07.02.601671}, url = {https://doi.org/10.1101/2024.07.02.601671 }, author = {Peale, David R. and Hess, Harald and Lee, P. R. and Cardona, Albert and Bock, Davi D. and Schneider-Mizell, Casey and Fetter, Richard D. and Lee, Wei-Ping and Robinson, Camenzind G. and Iyer, Nirmala and Managan, Claire} } @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 {69502, title = {Steering From the Rear: Coordination of Central Pattern Generators Underlying Navigation by Ascending Interneurons}, journal = {bioRxiv}, year = {2024}, month = {2024 Jun 17}, abstract = {

Understanding how animals coordinate movements to achieve goals is a fundamental pursuit in neuroscience. Here we explore how neurons that reside in posterior lower-order regions of a locomotor system and project to anterior higher-order regions influence steering and navigation. We characterized the anatomy and functional role of a population of ascending interneurons in the ventral nerve cord of Drosophila larvae. Through electron microscopy reconstructions and light microscopy, we determined that the cholinergic 19f cells receive input primarily from premotor interneurons and synapse upon a diverse array of postsynaptic targets within the anterior segments including other 19f cells. Calcium imaging of 19f activity in isolated CNS preparations in relation to motor neurons revealed that 19f neurons are recruited into most larval motor programmes. 19f activity lags behind motor neuron activity and as a population, the cells encode spatio-temporal patterns of locomotor activity in the larval CNS. Optogenetic manipulations of 19f cell activity in isolated CNS preparations revealed that they coordinate the activity of central pattern generators underlying exploratory headsweeps and forward locomotion in a context and location specific manner. In behaving animals, activating 19f cells suppressed exploratory headsweeps and slowed forward locomotion, while inhibition of 19f activity potentiated headsweeps, slowing forward movement. Inhibiting activity in 19f cells ultimately affected the ability of larvae to remain in the vicinity of an odor source during an olfactory navigation task. Overall, our findings provide insights into how ascending interneurons monitor motor activity and shape interactions amongst rhythm generators underlying complex navigational tasks.

}, doi = {10.1101/2024.06.17.598162}, url = {https://www.biorxiv.org/content/early/2024/06/17/2024.06.17.598162}, author = {Jonaitis, Julius and Hibbard, Karen L and Layte, Kaity McCafferty and Hiramoto, Atsuki and Cardona, Albert and Truman, James W and Nose, Akinao and Zwart, Maarten F and Pulver, Stefan R} } @article {69634, title = {Why do we have so many excitatory neurons?}, journal = {bioRxiv}, year = {2024}, month = {2024 Oct 05}, abstract = {

Approximately four in five neurons are excitatory. This is true across functional regions and species. Why do we have so many excitatory neurons? Little is known. Here we provide a normative answer to this question. We designed a task-agnostic, learning-independent and experiment-testable measurement of functional complexity, which quantifies the network{\textquoteright}s ability to solve complex problems. Using the larval Drosophila whole-brain electron microscopy connectome, we discovered the optimal Excitatory-Inhibitory (E-I) ratio that maximizes the functional complexity: 75-81\% percentage of neurons are excitatory. This number is consistent with the true distribution observed via scRNA-seq. We found that the abundance of excitatory neurons confers an advantage in functional complexity, but only when inhibitory neurons are highly connected. In contrast, when the E-I identities are sampled uniformly (not dependent on connectivity), the optimal E-I ratio falls around equal population size, and its overall achieved functional complexity is sub-optimal. Our functional complexity measurement offers a normative explanation for the over-abundance of excitatory neurons in the brain. We anticipate that this approach will further uncover the functional significance of various neural network structures.

}, doi = {10.1101/2024.09.24.614724}, url = {https://doi.org/10.1101/2024.09.24.614724}, author = {Wang, Qingyang and Cardona, Albert and Zlatic, Marta and Vogelstein, Joshua T. and Priebe, Carey E.} } @article {67801, title = {A neuropeptidergic circuit gates selective escape behavior of Drosophila larvae.}, journal = {Current Biology}, volume = {32}, year = {2022}, month = {2022 Jan 10}, pages = {149-63}, abstract = {

Animals display selective escape behaviors when faced with environmental threats. Selection of the appropriate response by the underlying neuronal network is key to maximizing chances of survival, yet the underlying network mechanisms are so far not fully understood. Using synapse-level reconstruction of the Drosophila larval network paired with physiological and behavioral readouts, we uncovered a circuit that gates selective escape behavior for noxious light through acute and input-specific neuropeptide action. Sensory neurons required for avoidance of noxious light and escape in response to harsh touch, each converge on discrete domains of neuromodulatory hub neurons. We show that acute release of hub neuron-derived insulin-like peptide 7 (Ilp7) and cognate relaxin family receptor (Lgr4) signaling in downstream neurons are required for noxious light avoidance, but not harsh touch responses. Our work highlights a role for compartmentalized circuit organization and neuropeptide release from regulatory hubs, acting as central circuit elements gating escape responses.

}, issn = {1879-0445}, doi = {10.1016/j.cub.2021.10.069}, author = {Imambocus, Bibi Nusreen and Zhou, Fangmin and Formozov, Andrey and Wittich, Annika and Tenedini, Federico M and Hu, Chun and Sauter, Kathrin and Macarenhas Varela, Ednilson and Her{\'e}dia, Fabiana and Casimiro, Andreia P and Macedo, Andr{\'e} and Schlegel, Philipp and Yang, Chung-Hui and Miguel-Aliaga, Irene and Wiegert, J Simon and Pankratz, Michael J and Gontijo, Alisson M and Cardona, Albert and Soba, Peter} } @article {68297, title = {A single-cell transcriptomic atlas of complete insect nervous systems across multiple life stages.}, journal = {Neural Development}, volume = {17}, year = {2022}, month = {2022 Aug 24}, pages = {8}, abstract = {

Molecular profiles of neurons influence neural development and function but bridging the gap between genes, circuits, and behavior has been very difficult. Here we used single cell RNAseq to generate a complete gene expression atlas of the Drosophila larval central nervous system composed of 131,077 single cells across three developmental stages (1\ h, 24\ h and 48\ h after hatching). We identify 67 distinct cell clusters based on the patterns of gene expression. These include 31 functional mature larval neuron clusters, 1 ring gland cluster, 8 glial clusters, 6 neural precursor clusters, and 13 developing immature adult neuron clusters. Some clusters are present across all stages of larval development, while others are stage specific (such as developing adult neurons). We identify genes that are differentially expressed in each cluster, as well as genes that are differentially expressed at distinct stages of larval life. These differentially expressed genes provide promising candidates for regulating the function of specific neuronal and glial types in the larval nervous system, or the specification and differentiation of adult neurons. The cell transcriptome Atlas of the Drosophila larval nervous system is a valuable resource for developmental biology and systems neuroscience and provides a basis for elucidating how genes regulate neural development and function.

}, keywords = {Animals, Drosophila, Gene Expression Regulation, Developmental, Larva, Neuroglia, Neurons, Transcriptome}, issn = {1749-8104}, doi = {10.1186/s13064-022-00164-6}, author = {Corrales, Marc and Cocanougher, Benjamin T and Kohn, Andrea B and Wittenbach, Jason D and Long, Xi S and Lemire, Andrew and Cardona, Albert and Singer, Robert H and Moroz, Leonid L and Zlatic, Marta} } @article {67793, title = {Circuits for integrating learned and innate valences in the insect brain.}, journal = {eLife}, volume = {10}, year = {2021}, month = {2021 Nov 10}, abstract = {

Animal behavior is shaped both by evolution and by individual experience. Parallel brain pathways encode innate and learned valences of cues, but the way in which they are integrated during action-selection is not well understood. We used electron microscopy to comprehensively map with synaptic resolution all neurons downstream of all Mushroom Body output neurons (encoding learned valences) and characterized their patterns of interaction with Lateral Horn neurons (encoding innate valences) in larva. The connectome revealed multiple types that receive convergent Mushroom Body and Lateral Horn inputs. A subset of these receives excitatory input from positive-valence MB and LH pathways and inhibitory input from negative-valence MB pathways. We confirmed functional connectivity from LH and MB pathways and behavioral roles of two of these neurons. These neurons encode integrated odor value and bidirectionally regulate turning. Based on this we speculate that learning could potentially skew the balance of excitation and inhibition onto these neurons and thereby modulate turning. Together, our study provides insights into the circuits that integrate learned and innate valences to modify behavior.

}, issn = {2050-084X}, doi = {10.7554/eLife.62567}, author = {Eschbach, Claire and Fushiki, Akira and Winding, Michael and Afonso, Bruno and Andrade, Ingrid V and Cocanougher, Benjamin T and Eichler, Katharina and Gepner, Ruben and Si, Guangwei and Valdes-Aleman, Javier and Fetter, Richard D and Gershow, Marc and Jefferis, Gregory Sxe and Samuel, Aravinthan Dt and Truman, James W and Cardona, Albert and Zlatic, Marta} } @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 {67804, title = {Drosophila {\ss}-Spectrin is required in polarized ensheathing glia that form a diffusion-barrier around the neuropil.}, journal = {Nature Communications}, volume = {12}, year = {2021}, month = {2021 Nov 04}, pages = {6357}, abstract = {

In the central nervous system (CNS), functional tasks are often allocated to distinct compartments. This is also evident in the Drosophila CNS where synapses and dendrites are clustered in distinct neuropil regions. The neuropil is separated from neuronal cell bodies by ensheathing glia, which as we show using dye injection experiments, contribute to the formation of an internal diffusion barrier. We find that ensheathing glia are polarized with a basolateral plasma membrane rich in phosphatidylinositol-(3,4,5)-triphosphate (PIP) and the Na/K-ATPase Nervana2 (Nrv2) that abuts an extracellular matrix formed at neuropil-cortex interface. The apical plasma membrane is facing the neuropil and is rich in phosphatidylinositol-(4,5)-bisphosphate (PIP) that is supported by a sub-membranous {\ss}-Spectrin cytoskeleton. {\ss}-spectrin mutant larvae affect ensheathing glial cell polarity with delocalized PIP and Nrv2 and exhibit an abnormal locomotion which is similarly shown by ensheathing glia ablated larvae. Thus, polarized glia compartmentalizes the brain and is essential for proper nervous system function.

}, issn = {2041-1723}, doi = {10.1038/s41467-021-26462-x}, author = {Pogodalla, Nicole and Kranenburg, Holger and Rey, Simone and Rodrigues, Silke and Cardona, Albert and Kl{\"a}mbt, Christian} } @article {66025, title = {Internal state configures olfactory behavior and early sensory processing in larvae.}, journal = {Science Advances}, volume = {7}, year = {2021}, month = {2021 Jan 01}, abstract = {

Animals exhibit different behavioral responses to the same sensory cue depending on their internal state at a given moment. How and where in the brain are sensory inputs combined with state information to select an appropriate behavior? Here, we investigate how food deprivation affects olfactory behavior in larvae. We find that certain odors repel well-fed animals but attract food-deprived animals and that feeding state flexibly alters neural processing in the first olfactory center, the antennal lobe. Hunger differentially modulates two output pathways required for opposing behavioral responses. Upon food deprivation, attraction-mediating uniglomerular projection neurons show elevated odor-evoked activity, whereas an aversion-mediating multiglomerular projection neuron receives odor-evoked inhibition. The switch between these two pathways is regulated by the lone serotonergic neuron in the antennal lobe, CSD. Our findings demonstrate how flexible behaviors can arise from state-dependent circuit dynamics in an early sensory processing center.

}, issn = {2375-2548}, doi = {10.1126/sciadv.abd6900}, author = {Vogt, Katrin and Zimmerman, David M and Schlichting, Matthias and Hernandez-Nunez, Luis and Qin, Shanshan and Malacon, Karen and Rosbash, Michael and Pehlevan, Cengiz and Cardona, Albert and Samuel, Aravinthan D T} } @article {67296, title = {Regulation of coordinated muscular relaxation in Drosophila larvae by a pattern-regulating intersegmental circuit.}, journal = {Nature Communications}, volume = {12}, year = {2021}, month = {2021 May 19}, pages = {2943}, abstract = {

Typical patterned movements in animals are achieved through combinations of contraction and delayed relaxation of groups of muscles. However, how intersegmentally coordinated patterns of muscular relaxation are regulated by the neural circuits remains poorly understood. Here, we identify Canon, a class of higher-order premotor interneurons, that regulates muscular relaxation during backward locomotion of Drosophila larvae. Canon neurons are cholinergic interneurons present in each abdominal neuromere and show wave-like activity during fictive backward locomotion. Optogenetic activation of Canon neurons induces relaxation of body wall muscles, whereas inhibition of these neurons disrupts timely muscle relaxation. Canon neurons provide excitatory outputs to inhibitory premotor interneurons. Canon neurons also connect with each other to form an intersegmental circuit and regulate their own wave-like activities. Thus, our results demonstrate how coordinated muscle relaxation can be realized by an intersegmental circuit that regulates its own patterned activity and sequentially terminates motor activities along the anterior-posterior axis.

}, issn = {2041-1723}, doi = {10.1038/s41467-021-23273-y}, author = {Hiramoto, Atsuki and Jonaitis, Julius and Niki, Sawako and Kohsaka, Hiroshi and Fetter, Richard D and Cardona, Albert and Pulver, Stefan R and Nose, Akinao} } @article {67713, title = {Synchronous and opponent thermosensors use flexible cross-inhibition to orchestrate thermal homeostasis.}, journal = {Science Advances}, volume = {7}, year = {2021}, month = {2021 Aug 27}, abstract = {

Body temperature homeostasis is essential and reliant upon the integration of outputs from multiple classes of cooling- and warming-responsive cells. The computations that integrate these outputs are not understood. Here, we discover a set of warming cells (WCs) and show that the outputs of these WCs combine with previously described cooling cells (CCs) in a cross-inhibition computation to drive thermal homeostasis in larval WCs and CCs detect temperature changes using overlapping combinations of ionotropic receptors: Ir68a, Ir93a, and Ir25a for WCs and Ir21a, Ir93a, and Ir25a for CCs. WCs mediate avoidance to warming while cross-inhibiting avoidance to cooling, and CCs mediate avoidance to cooling while cross-inhibiting avoidance to warming. Ambient temperature-dependent regulation of the strength of WC- and CC-mediated cross-inhibition keeps larvae near their homeostatic set point. Using neurophysiology, quantitative behavioral analysis, and connectomics, we demonstrate how flexible integration between warming and cooling pathways can orchestrate homeostatic thermoregulation.

}, issn = {2375-2548}, doi = {10.1126/sciadv.abg6707}, author = {Hernandez-Nunez, Luis and Chen, Alicia and Budelli, Gonzalo and Berck, Matthew E and Richter, Vincent and Rist, Anna and Thum, Andreas S and Cardona, Albert and Klein, Mason and Garrity, Paul and Samuel, Aravinthan D T} } @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 {67225, title = {Comparative single-cell transcriptomics of complete insect nervous systems}, journal = {bioRxiv}, year = {2020}, month = {01/2020}, abstract = {

Molecular profiles of neurons influence information processing, but bridging the gap between genes, circuits, and behavior has been very difficult. Furthermore, the behavioral state of an animal continuously changes across development and as a result of sensory experience. How behavioral state influences molecular cell state is poorly understood. Here we present a complete atlas of the Drosophila larval central nervous system composed of over 200,000 single cells across four developmental stages. We develop polyseq, a python package, to perform cell-type analyses. We use single-molecule RNA-FISH to validate our scRNAseq findings. To investigate how internal state affects cell state, we optogentically altered internal state with high-throughput behavior protocols designed to mimic wasp sting and over activation of the memory system. We found nervous system-wide and neuron-specific gene expression changes. This resource is valuable for developmental biology and neuroscience, and it advances our understanding of how genes, neurons, and circuits generate behavior.

}, doi = {10.1101/785931}, url = {https://www.biorxiv.org/content/early/2020/01/16/785931}, author = {Cocanougher, Benjamin T. and Wittenbach, Jason D. and Long, Xi Salina and Kohn, Andrea B. and Norekian, Tigran P. and Yan, Jinyao and Colonell, Jennifer and Masson, Jean-Baptiste and Truman, James W. and Cardona, Albert and Turaga, Srinivas C. and Singer, Robert H. and Moroz, Leonid L. and Zlatic, Marta} } @article {65600, title = {The corazonin-PTTH neuronal axis controls systemic body growth by regulating basal ecdysteroid biosynthesis in Drosophila melanogaster.}, journal = {Current Biology}, volume = {30}, year = {2020}, month = {2020 Jun 8}, pages = {2156-65}, abstract = {

Steroid hormones play key roles in development, growth, and reproduction in various animal phyla [1]. The insect steroid hormone, ecdysteroid, coordinates growth and maturation, represented by molting and metamorphosis [2]. In Drosophila melanogaster, the prothoracicotropic hormone (PTTH)-producing neurons stimulate peak levels of ecdysteroid biosynthesis for maturation [3]. Additionally, recent studies on PTTH signaling indicated that basal levels of ecdysteroid negatively affect systemic growth prior to maturation [4-8]. However, it remains unclear how PTTH signaling is regulated for basal ecdysteroid biosynthesis. Here, we report that Corazonin (Crz)-producing neurons regulate basal ecdysteroid biosynthesis by affecting PTTH neurons. Crz belongs to gonadotropin-releasing hormone (GnRH) superfamily, implying an analogous role in growth and maturation [9]. Inhibition of Crz neuronal activity increased pupal size, whereas it hardly affected pupariation timing. This phenotype resulted from enhanced growth rate and a delay in ecdysteroid elevation during the mid-third instar larval (L3) stage. Interestingly, Crz receptor (CrzR) expression in PTTH neurons was higher during the mid- than the late-L3 stage. Silencing of CrzR in PTTH neurons increased pupal size, phenocopying the inhibition of Crz neuronal activity. When Crz neurons were optogenetically activated, a strong calcium response was observed in PTTH neurons during the mid-L3, but not the late-L3, stage. Furthermore, we found that octopamine neurons contact Crz neurons in the subesophageal zone (SEZ), transmitting signals for systemic growth. Together, our results suggest that the Crz-PTTH neuronal axis modulates ecdysteroid biosynthesis in response to octopamine, uncovering a regulatory neuroendocrine system in the developmental transition from growth to maturation.

}, issn = {1879-0445}, doi = {10.1016/j.cub.2020.03.050}, author = {Imura, Eisuke and Shimada-Niwa, Yuko and Nishimura, Takashi and H{\"u}ckesfeld, Sebastian and Schlegel, Philipp and Ohhara, Yuya and Kondo, Shu and Tanimoto, Hiromu and Cardona, Albert and Pankratz, Michael J and Niwa, Ryusuke} } @article {65301, title = {Identifying neural substrates of competitive interactions and sequence transitions during mechanosensory responses in Drosophila.}, journal = {PLoS Genetics}, volume = {16}, year = {2020}, month = {2020 Feb 14}, pages = {e1008589}, abstract = {

Nervous systems have the ability to select appropriate actions and action sequences in response to sensory cues. The circuit mechanisms by which nervous systems achieve choice, stability and transitions between behaviors are still incompletely understood. To identify neurons and brain areas involved in controlling these processes, we combined a large-scale neuronal inactivation screen with automated action detection in response to a mechanosensory cue in Drosophila larva. We analyzed behaviors from 2.9x105 larvae and identified 66 candidate lines for mechanosensory responses out of which 25 for competitive interactions between actions. We further characterize in detail the neurons in these lines and analyzed their connectivity using electron microscopy. We found the neurons in the mechanosensory network are located in different regions of the nervous system consistent with a distributed model of sensorimotor decision-making. These findings provide the basis for understanding how selection and transition between behaviors are controlled by the nervous system.

}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1008589}, author = {Masson, Jean-Baptiste and Laurent, Francois and Cardona, Albert and Barre, Chloe and Skatchkovsky, Nicolas and Zlatic, Marta and Jovanic, Tihana} } @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 {65079, title = {BigStitcher: reconstructing high-resolution image datasets of cleared and expanded samples.}, journal = {Nature Methods}, volume = {16}, year = {2019}, month = {2019 Sep}, pages = {870-74}, abstract = {

Light-sheet imaging of cleared and expanded samples creates terabyte-sized datasets that consist of many unaligned three-dimensional image tiles, which must be reconstructed before analysis. We developed the BigStitcher software to address this challenge. BigStitcher enables interactive visualization, fast and precise alignment, spatially resolved quality estimation, real-time fusion and deconvolution of dual-illumination, multitile, multiview datasets. The software also compensates for optical effects, thereby improving accuracy and enabling subsequent biological analysis.

}, issn = {1548-7091}, doi = {10.1038/s41592-019-0501-0}, url = {http://www.nature.com/articles/s41592-019-0501-0http://www.nature.com/articles/s41592-019-0501-0.pdfhttp://www.nature.com/articles/s41592-019-0501-0.pdfhttp://www.nature.com/articles/s41592-019-0501-0}, author = {H{\"o}rl, David and Rojas Rusak, Fabio and Preusser, Friedrich and Tillberg, Paul and Randel, Nadine and Chhetri, Raghav K. and Cardona, Albert and Keller, Philipp J. and Harz, Hartmann and Leonhardt, Heinrich and Treier, Mathias and Preibisch, Stephan} } @article {56202, title = {Developmentally arrested precursors of pontine neurons establish an embryonic blueprint of the Drosophila central complex.}, journal = {Current Biology : CB}, volume = {29}, year = {2019}, month = {2019 Jan 15}, pages = {412-25}, abstract = {

Serial electron microscopic analysis shows that the Drosophila brain at hatching possesses a large fraction of developmentally arrested neurons with a small soma, heterochromatin-rich nucleus, and unbranched axon lacking synapses. We digitally reconstructed all 802 "small undifferentiated" (SU) neurons and assigned them to the known brain lineages. By establishing the coordinates and reconstructing trajectories of the SU neuron tracts, we provide a framework of landmarks for the ongoing analyses of the L1 brain circuitry. To address the later fate of SU neurons, we focused on the 54 SU neurons belonging to the DM1-DM4 lineages, which generate all columnar neurons of the central complex. Regarding their topologically ordered projection pattern, these neurons form an embryonic nucleus of the fan-shaped body ("FB pioneers"). Fan-shaped body pioneers survive into the adult stage, where they develop into a specific class of bi-columnar elements, the pontine neurons. Later born, unicolumnar DM1-DM4 neurons fasciculate with the fan-shaped body pioneers. Selective ablation of the fan-shaped body pioneers altered the architecture of the larval fan-shaped body primordium but did not result in gross abnormalities of the trajectories of unicolumnar neurons, indicating that axonal pathfinding of the two systems may be controlled independently. Our comprehensive spatial and developmental analysis of the SU neurons adds to our understanding of the establishment of neuronal circuitry.

}, issn = {1879-0445}, doi = {10.1016/j.cub.2018.12.012}, author = {Andrade, Ingrid V and Riebli, Nadia and Nguyen, Bao-Chau M and Omoto, Jaison J and Cardona, Albert and Hartenstein, Volker} } @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 {64785, title = {Neural substrates of Drosophila larval anemotaxis.}, journal = {Current Biology : CB}, volume = {29}, year = {2019}, month = {2019 Jan 29}, pages = {554-66}, abstract = {

Animals use sensory information to move toward more favorable conditions. Drosophila larvae can move up or down gradients of odors (chemotax), light (phototax), and temperature (thermotax) by modulating the probability, direction, and size of turns based on sensory input. Whether larvae can anemotax in gradients of mechanosensory cues is unknown. Further, although many of the sensory neurons that mediate taxis have been described, the central circuits are not well understood. Here, we used high-throughput, quantitative behavioral assays to demonstrate Drosophila larvae anemotax in gradients of wind speeds and to characterize the behavioral strategies involved. We found that larvae modulate the probability, direction, and size of turns to move away from higher wind speeds. This suggests that similar central decision-making mechanisms underlie taxis in somatosensory and other sensory modalities. By silencing the activity of single or very few neuron types in a behavioral screen, we found two sensory (chordotonal and multidendritic class III) and six nerve cord neuron types involved in anemotaxis. We reconstructed the identified neurons in an electron microscopy volume that spans the entire larval nervous system and found they received direct input from the mechanosensory neurons or from each other. In this way, we identified local interneurons and first- and second-order subesophageal zone (SEZ) and brain projection neurons. Finally, silencing a dopaminergic brain neuron type impairs anemotaxis. These findings suggest that anemotaxis involves both nerve cord and brain circuits. The candidate neurons and circuitry identified in our study provide a basis for future detailed mechanistic understanding of the circuit principles of anemotaxis.

}, issn = {1879-0445}, doi = {10.1016/j.cub.2019.01.009}, author = {Jovanic, Tihana and Winding, Michael and Cardona, Albert and Truman, James W and Gershow, Marc and Zlatic, Marta} } @article {64988, title = {Regulation of forward and backward locomotion through intersegmental feedback circuits in Drosophila larvae.}, journal = {Nature Communications}, volume = {10}, year = {2019}, month = {2019 Jun 14}, pages = {2654}, abstract = {

Animal locomotion requires spatiotemporally coordinated contraction of muscles throughout the body. Here, we investigate how contractions of antagonistic groups of muscles are intersegmentally coordinated during bidirectional crawling of Drosophila larvae. We identify two pairs of higher-order premotor excitatory interneurons present in each abdominal neuromere that intersegmentally provide feedback to the adjacent neuromere during motor propagation. The two feedback neuron pairs are differentially active during either forward or backward locomotion but commonly target a group of premotor interneurons that together provide excitatory inputs to transverse muscles and inhibitory inputs to the antagonistic longitudinal muscles. Inhibition of either feedback neuron pair compromises contraction of transverse muscles in a direction-specific manner. Our results suggest that the intersegmental feedback neurons coordinate contraction of synergistic muscles by acting as delay circuits representing the phase lag between segments. The identified circuit architecture also shows how bidirectional motor networks could be economically embedded in the nervous system.

}, issn = {2041-1723}, doi = {10.1038/s41467-019-10695-y}, author = {Kohsaka, Hiroshi and Zwart, Maarten F and Fushiki, Akira and Fetter, Richard D and Truman, James W and Cardona, Albert and Nose, Akinao} } @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 {49093, title = {Functional architecture of reward learning in mushroom body extrinsic neurons of larval Drosophila.}, journal = {Nature Communications}, volume = {9}, year = {2018}, month = {2018 Mar 16}, pages = {1104}, abstract = {

The brain adaptively integrates present sensory input, past experience, and options for future action. The insect mushroom body exemplifies how a central brain structure brings about such integration. Here we use a combination of systematic single-cell labeling, connectomics, transgenic silencing, and activation experiments to study the mushroom body at single-cell resolution, focusing on the behavioral architecture of its input and output neurons (MBINs and MBONs), and of the mushroom body intrinsic APL neuron. Our results reveal the identity and morphology of almost all of these 44 neurons in stage 3 Drosophila larvae. Upon an initial screen, functional analyses focusing on the mushroom body medial lobe uncover sparse and specific functions of its dopaminergic MBINs, its MBONs, and of the GABAergic APL neuron across three behavioral tasks, namely odor preference, taste preference, and associative learning between odor and taste. Our results thus provide a cellular-resolution study case of how brains organize behavior.

}, issn = {2041-1723}, doi = {10.1038/s41467-018-03130-1}, author = {Saumweber, Timo and Rohwedder, Astrid and Schleyer, Michael and Eichler, Katharina and Chen, Yi-chun and Aso, Yoshinori and Cardona, Albert and Eschbach, Claire and Kobler, Oliver and Voigt, Anne and Durairaja, Archana and Mancini, Nino and Zlatic, Marta and Truman, James W and Thum, Andreas S and Gerber, Bertram} } @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 {49086, title = {Nociceptive interneurons control modular motor pathways to promote escape behavior in Drosophila.}, journal = {eLife}, volume = {7}, year = {2018}, month = {2018 Mar 12}, abstract = {

Rapid and efficient escape behaviors in response to noxious sensory stimuli are essential for protection and survival. Yet, how noxious stimuli are transformed to coordinated escape behaviors remains poorly understood. Inlarvae, noxious stimuli trigger sequential body bending and corkscrew-like rolling behavior. We identified a population of interneurons in the nerve cord of, termed Down-and-Back (DnB) neurons, that are activated by noxious heat, promote nociceptive behavior, and are required for robust escape responses to noxious stimuli. Electron microscopic circuit reconstruction shows that DnBs are targets of nociceptive and mechanosensory neurons, are directly presynaptic to pre-motor circuits, and link indirectly to Goro rolling command-like neurons. DnB activation promotes activity in Goro neurons, and coincident inactivation of Goro neurons prevents the rolling sequence but leaves intact body bending motor responses. Thus, activity from nociceptors to DnB interneurons coordinates modular elements of nociceptive escape behavior.

}, issn = {2050-084X}, doi = {10.7554/eLife.26016}, author = {Burgos, Anita and Honjo, Ken and Ohyama, Tomoko and Qian, Cheng Sam and Shin, Grace Ji-Eun and Gohl, Daryl M and Silies, Marion and Tracey, W Daniel and Zlatic, Marta and Cardona, Albert and Grueber, Wesley B} } @article {49523, title = {Sensorimotor pathway controlling stopping behavior during chemotaxis in the larva.}, journal = {eLife}, volume = {7}, year = {2018}, month = {2018 Nov 22}, abstract = {

Sensory navigation results from coordinated transitions between distinct behavioral programs. During chemotaxis in the larva, the detection of positive odor gradients extends runs while negative gradients promote stops and turns. This algorithm represents a foundation for the control of sensory navigation across phyla. In the present work, we identified an olfactory descending neuron, PDM-DN, which plays a pivotal role in the organization of stops and turns in response to the detection of graded changes in odor concentrations. Artificial activation of this descending neuron induces deterministic stops followed by the initiation of turning maneuvers through head casts. Using electron microscopy, we reconstructed the main pathway that connects the PDM-DN neuron to the peripheral olfactory system and to the pre-motor circuit responsible for the actuation of forward peristalsis. Our results set the stage for a detailed mechanistic analysis of the sensorimotor conversion of graded olfactory inputs into action selection to perform goal-oriented navigation.

}, issn = {2050-084X}, doi = {10.7554/eLife.38740}, author = {Tastekin, Ibrahim and Khandelwal, Avinash and Tadres, David and Fessner, Nico D and Truman, James W and Zlatic, Marta and Cardona, Albert and Louis, Matthieu} } @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 {48983, title = {Divergent connectivity of homologous command-like neurons mediates segment-specific touch responses in Drosophila.}, journal = {Neuron}, volume = {96}, year = {2017}, month = {2017 Dec 20}, pages = {1373-87}, abstract = {

Animals adaptively respond to a tactile stimulus by choosing an ethologically relevant behavior depending on the location of the stimuli. Here, we investigate how somatosensory inputs on different body segments are linked to distinct motor outputs in Drosophila larvae. Larvae escape by backward locomotion when touched on the head, while they crawl forward when touched on the tail. We identify a class of segmentally repeated second-order somatosensory interneurons, that we named Wave, whose activation in anterior and posterior segments elicit backward and forward locomotion, respectively. Anterior and posterior Wave neurons extend their dendrites in opposite directions to receive somatosensory inputs from the head and tail, respectively. Downstream of anterior Wave neurons, we identify premotor circuits including the neuron A03a5, which together with Wave, is necessary for the backward locomotion touch response. Thus, Wave neurons match their receptive field to appropriate motor programs by participating in different circuits in different segments.

}, issn = {1097-4199}, doi = {10.1016/j.neuron.2017.10.030}, author = {Takagi, Suguru and Cocanougher, Benjamin Thomas and Niki, Sawako and Miyamoto, Dohjin and Kohsaka, Hiroshi and Kazama, Hokto and Fetter, Richard Doty and Truman, James William and Zlatic, Marta and Cardona, Albert and Nose, Akinao} } @article {48254, title = {Multicut brings automated neurite segmentation closer to human performance.}, journal = {Nature Methods}, volume = {14}, year = {2017}, month = {2017 Jan 31}, pages = {101-102}, issn = {1548-7105}, doi = {10.1038/nmeth.4151}, author = {Beier, Thorsten and Pape, Constantin and Rahaman, Nasim and Prange, Timo and Berg, Stuart and Bock, Davi D and Cardona, Albert and Knott, Graham W and Plaza, Stephen M and Scheffer, Louis K and Koethe, Ullrich and Kreshuk, Anna and Hamprecht, Fred A} } @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 {48495, title = {Semiparametric spectral modeling of the Drosophila connectome.}, journal = {arXiv}, year = {2017}, month = {2017 May 9}, pages = {1705.03297}, abstract = {

We present semiparametric spectral modeling of the complete larval Drosophila mushroom body connectome. Motivated by a thorough exploratory data analysis of the network via Gaussian mixture modeling (GMM) in the adjacency spectral embedding (ASE) representation space, we introduce the latent structure model (LSM) for network modeling and inference. LSM is a generalization of the stochastic block model (SBM) and a special case of the random dot product graph (RDPG) latent position model, and is amenable to semiparametric GMM in the ASE representation space. The resulting connectome code derived via semiparametric GMM composed with ASE captures latent connectome structure and elucidates biologically relevant neuronal properties.

}, url = {https://arxiv.org/abs/1705.03297}, author = {Priebe, Carey E. and Park, Youngser and Tang, Minh and Athreya, Avanti and Lyzinski, Vince and Vogelstein, Joshua T and Qin, Yichen and Cocanougher, Benjamin and Eichler, Katharina and Zlatic, Marta and Cardona, Albert} } @article {48193, title = {TED: A Tolerant Edit Distance for segmentation evaluation.}, journal = {Methods}, volume = {115}, year = {2017}, month = {2017 Jan 17}, pages = {119-27}, abstract = {

In this paper, we present a novel error measure to compare a computer-generated segmentation of images or volumes against ground truth. This measure, which we call Tolerant Edit Distance (TED), is motivated by two observations that we usually encounter in biomedical image processing: (1) Some errors, like small boundary shifts, are tolerable in practice. Which errors are tolerable is application dependent and should be explicitly expressible in the measure. (2) Non-tolerable errors have to be corrected manually. The effort needed to do so should be reflected by the error measure. Our measure is the minimal weighted sum of split and merge operations to apply to one segmentation such that it resembles another segmentation within specified tolerance bounds. This is in contrast to other commonly used measures like Rand index or variation of information, which integrate small, but tolerable, differences. Additionally, the TED provides intuitive numbers and allows the localization and classification of errors in images or volumes. We demonstrate the applicability of the TED on 3D segmentations of neurons in electron microscopy images where topological correctness is arguable more important than exact boundary locations. Furthermore, we show that the TED is not just limited to evaluation tasks. We use it as the loss function in a max-margin learning framework to find parameters of an automatic neuron segmentation algorithm. We show that training to minimize the TED, i.e., to minimize crucial errors, leads to higher segmentation accuracy compared to other learning methods.

}, doi = {10.1016/j.ymeth.2016.12.013}, author = {Funke, Jan and Klein, Jonas and Moreno-Noguer, Francesc and Cardona, Albert and Cook, Matthew} } @article {48367, title = {Trainable Weka Segmentation: a machine learning tool for microscopy pixel classification.}, journal = {Bioinformatics (Oxford, England)}, volume = {33}, year = {2017}, month = {2017 Mar 29}, pages = {2424-6}, abstract = {

Summary: State-of-the-art light and electron microscopes are capable of acquiring large image datasets, but quantitatively evaluating the data often involves manually annotating structures of interest. This processis time-consuming and often a major bottleneck in the evaluation pipeline. To overcome this problem, we have introduced the Trainable Weka Segmentation (TWS), a machine learning tool that leveragesa limited number of manual annotations in order to train a classifier and segment the remaining dataautomatically. In addition, TWS can provide unsupervised segmentation learning schemes (clustering) and can be customized to employ user-designed image features or classifiers.

Availability and Implementation: TWS is distributed as open-source software as part of the Fiji image processing distribution of ImageJ at http://imagej.net/Trainable_Weka_Segmentation.

Contact: ignacio.arganda@ehu.eus.

Supplementary information: Supplementary data are available at Bioinformatics online.

}, issn = {1367-4811}, doi = {10.1093/bioinformatics/btx180}, author = {Arganda-Carreras, Ignacio and Kaynig, Verena and Rueden, Curtis and Eliceiri, Kevin W and Schindelin, Johannes and Cardona, Albert and Seung, H Sebastian} } @article {47421, title = {Astrocytic glutamate transport regulates a Drosophila CNS synapse that lacks astrocyte ensheathment.}, journal = {The Journal of Comparative Neurology}, volume = {524}, year = {2016}, month = {2016 Apr 12}, pages = {1979-98}, abstract = {

Anatomical, molecular, and physiological interactions between astrocytes and neuronal synapses regulate information processing in the brain. The fruit fly Drosophila melanogaster has become a valuable experimental system for genetic manipulation of the nervous system and has enormous potential for elucidating mechanisms that mediate neuron-glia interactions. Here, we show the first electrophysiological recordings from Drosophila astrocytes and characterize their spatial and physiological relationship with particular synapses. Astrocyte intrinsic properties were found to be strongly analogous to those of vertebrate astrocytes, including a passive current-voltage relationship, low membrane resistance, high capacitance, and dye-coupling to local astrocytes. Responses to optogenetic stimulation of glutamatergic pre-motor neurons were correlated directly with anatomy using serial electron microscopy reconstructions of homologous identified neurons and surrounding astrocytic processes. Robust bidirectional communication was present: neuronal activation triggered astrocytic glutamate transport via Eaat1, and blocking Eaat1 extended glutamatergic interneuron-evoked inhibitory post-synaptic currents in motor neurons. The neuronal synapses were always located within a micron of an astrocytic process, but none were ensheathed by those processes. Thus, fly astrocytes can modulate fast synaptic transmission via neurotransmitter transport within these anatomical parameters. This article is protected by copyright. All rights reserved.

}, issn = {1096-9861}, doi = {10.1002/cne.24016}, author = {MacNamee, Sarah E and Liu, Kendra E and Gerhard, Stephan and Tran, Cathy T and Fetter, Richard D and Cardona, Albert and Tolbert, Leslie P and Oland, Lynne A} } @article {47324, title = {A circuit mechanism for the propagation of waves of muscle contraction in Drosophila.}, journal = {eLife}, volume = {5}, year = {2016}, month = {2016 Feb 18}, abstract = {

Animals move by adaptively coordinating the sequential activation of muscles. The circuit mechanisms underlying coordinated locomotion are poorly understood. Here, we report on a novel circuit for propagation of waves of muscle contraction, using the peristaltic locomotion of Drosophila larvae as a model system. We found an intersegmental chain of synaptically connected neurons, alternating excitatory and inhibitory, necessary for wave propagation and active in phase with the wave. The excitatory neurons (A27h) are premotor and necessary only for forward locomotion, and are modulated by stretch receptors and descending inputs. The inhibitory neurons (GDL) are necessary for both forward and backward locomotion, suggestive of different yet coupled central pattern generators, and its inhibition is necessary for wave propagation. The circuit structure and functional imaging indicated that the commands to contract one segment promote the relaxation of the next segment, revealing a mechanism for wave propagation in peristaltic locomotion.

}, issn = {2050-084X}, doi = {10.7554/eLife.13253}, author = {Fushiki, Akira and Zwart, Maarten F and Kohsaka, Hiroshi and Fetter, Richard D and Cardona, Albert and Nose, Akinao} } @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 {47062, title = {Quantitative neuroanatomy for connectomics in Drosophila.}, journal = {eLife}, year = {2016}, month = {2016 Mar 18}, pages = {e12059}, abstract = {

Neuronal circuit mapping using electron microscopy demands laborious proofreading or reconciliation of multiple independent reconstructions. Here, we describe new methods to apply quantitative arbor and network context to iteratively proofread and reconstruct circuits and create anatomically enriched wiring diagrams. We measured the morphological underpinnings of connectivity in new and existing reconstructions of\ Drosophila\ sensorimotor (larva) and visual (adult) systems. Synaptic inputs were preferentially located on numerous small, microtubule-free {\textquoteright}twigs{\textquoteright} which branch off a single microtubule-containing {\textquoteright}backbone{\textquoteright}. Omission of individual twigs accounted for 96\% of errors. However, the synapses of highly connected neurons were distributed across multiple twigs. Thus, the robustness of a strong connection to detailed twig anatomy was associated with robustness to reconstruction error. By comparing iterative reconstruction to the consensus of multiple reconstructions, we show that our method overcomes the need for redundant effort through the discovery and application of relationships between cellular neuroanatomy and synaptic connectivity.

}, doi = {10.7554/eLife.12059}, author = {Schneider-Mizell, Casey M. and Gerhard, Stephan and Longair, Mark and Kazimiers, Tom and Li, Feng and Zwart, Maarten and Champion, Andrew and Midgley, Frank and Fetter, Richard D and Saalfeld, Stephan and Cardona, Albert} } @article {47698, title = {Selective inhibition mediates the sequential recruitment of motor pools.}, journal = {Neuron}, volume = {91}, year = {2016}, month = {2016 Jul 12}, pages = {615-28}, abstract = {

Locomotor systems generate diverse motor patterns to produce the movements underlying behavior, requiring that motor neurons be recruited at various phases of the locomotor cycle. Reciprocal inhibition produces alternating motor patterns; however, the mechanisms that generate other phasic relationships between intrasegmental motor pools are unknown. Here, we investigate one such motor pattern in the Drosophila larva, using a multidisciplinary approach including electrophysiology and ssTEM-based circuit reconstruction. We find that two motor pools that are sequentially recruited during locomotion have identical excitable properties. In contrast, they receive input from divergent premotor circuits. We find that this motor pattern is not orchestrated by differential excitatory input but by a GABAergic interneuron acting as a delay line to the later-recruited motor pool. Our findings show how a motor pattern is generated as a function of the modular organization of locomotor networks through segregation of\ inhibition, a potentially general mechanism for sequential motor patterns.

}, issn = {1097-4199}, doi = {10.1016/j.neuron.2016.06.031}, author = {Zwart, Maarten F and Pulver, Stefan R and Truman, James W and Fushiki, Akira and Cardona, Albert and Landgraf, Matthias} } @article {47560, title = {Structured learning of assignment models for neuron reconstruction to minimize topological errors.}, journal = {IEEE 13th International Symposium on Biomedical Imaging (ISBI)}, year = {2016}, month = {2016 Ap 13}, pages = {607-11}, abstract = {

Structured learning provides a powerful framework for empirical risk minimization on the predictions of structured models. It allows end-to-end learning of model parameters to minimize an application specific loss function. This framework is particularly well suited for discrete optimization models that are used for neuron reconstruction from anisotropic electron microscopy (EM) volumes. However, current methods are still learning unary potentials by training a classifier that is agnostic about the model it is used in. We believe the reason for that lies in the difficulties of (1) finding a representative training sample, and (2) designing an application specific loss function that captures the quality of a proposed solution. In this paper, we show how to find a representative training sample from human generated ground truth, and propose a loss function that is suitable to minimize topological errors in the reconstruction. We compare different training methods on two challenging EM-datasets. Our structured learning approach shows consistently higher reconstruction accuracy than other current learning methods.

}, doi = {10.1109/ ISBI.2016.7493341}, author = {Funke, Jan and Klein, Jonas and Moreno-Noguer, Francesc and Cardona, Albert and Cook, Matthew} } @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 {47486, title = {The wiring diagram of a glomerular olfactory system.}, journal = {eLife}, volume = {5}, year = {2016}, month = {2016 May 13}, abstract = {

The sense of smell enables animals to react to long-distance cues according to learned and innate valences. Here, we have mapped with electron microscopy the complete wiring diagram of the Drosophila larval antennal lobe, an olfactory neuropil similar to the vertebrate olfactory bulb. We found a canonical circuit with uniglomerular projection neurons (uPNs) relaying gain-controlled ORN activity to the mushroom body and the lateral horn. A second, parallel circuit with multiglomerular projection neurons (mPNs) and hierarchically connected local neurons (LNs) selectively integrates multiple ORN signals already at the first synapse. LN-LN synaptic connections putatively implement a bistable gain control mechanism that either computes odor saliency through panglomerular inhibition, or allows some glomeruli to respond to faint aversive odors in the presence of strong appetitive odors. This complete wiring diagram will support experimental and theoretical studies towards bridging the gap between circuits and behavior.

}, issn = {2050-084X}, doi = {10.7554/eLife.14859}, author = {Berck, Matthew E and Khandelwal, Avinash and Claus, Lindsey and Hernandez-Nunez, Luis and Si, Guangwei and Tabone, Christopher J and Li, Feng and Truman, James W and Fetter, Richard D and Louis, Matthieu and Samuel, Aravinthan Dt and Cardona, Albert} } @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 {46557, title = {A multilevel multimodal circuit enhances action selection in Drosophila.}, journal = {Nature}, volume = {520}, year = {2015}, month = {2015 Apr 20}, pages = {633-9}, abstract = {

Natural events present multiple types of sensory cues, each detected by a specialized sensory modality. Combining information from several modalities is essential for the selection of appropriate actions. Key to understanding multimodal computations is determining the structural patterns of multimodal convergence and how these patterns contribute to behaviour. Modalities could converge early, late or at multiple levels in the sensory processing hierarchy. Here we show that combining mechanosensory and nociceptive cues synergistically enhances the selection of the fastest mode of escape locomotion in Drosophila larvae. In an electron microscopy volume that spans the entire insect nervous system, we reconstructed the multisensory circuit supporting the synergy, spanning multiple levels of the sensory processing hierarchy. The wiring diagram revealed a complex multilevel multimodal convergence architecture. Using behavioural and physiological studies, we identified functionally connected circuit nodes that trigger the fastest locomotor mode, and others that facilitate it, and we provide evidence that multiple levels of multimodal integration contribute to escape mode selection. We propose that the multilevel multimodal convergence architecture may be a general feature of multisensory circuits enabling complex input{\textendash}output functions and selective tuning to ecologically relevant combinations of cues.

}, doi = {10.1038/nature14297}, author = {Ohyama, Tomoko and Schneider-Mizell, Casey M. and Fetter, Richard D. and Aleman, Javier Valdes and Franconville, Romain and Rivera-Alba, Marta and Mensh, Brett D. and Branson, Kristin M. and Simpson, Julie H. and Truman, James W. and Cardona, Albert and Zlatic, Marta} } @article {46187, title = {Sensory determinants of behavioral dynamics in Drosophila thermotaxis.}, journal = {Proceedings of the National Academy of Sciences of the United States of America}, volume = {112}, year = {2015}, month = {2015 Jan 13}, pages = {E220-9}, abstract = {

Complex animal behaviors are built from dynamical relationships between sensory inputs, neuronal activity, and motor outputs in patterns with strategic value. Connecting these patterns illuminates how nervous systems compute behavior. Here, we study Drosophila larva navigation up temperature gradients toward preferred temperatures (positive thermotaxis). By tracking the movements of animals responding to fixed spatial temperature gradients or random temperature fluctuations, we calculate the sensitivity and dynamics of the conversion of thermosensory inputs into motor responses. We discover three thermosensory neurons in each dorsal organ ganglion (DOG) that are required for positive thermotaxis. Random optogenetic stimulation of the DOG thermosensory neurons evokes behavioral patterns that mimic the response to temperature variations. In vivo calcium and voltage imaging reveals that the DOG thermosensory neurons exhibit activity patterns with sensitivity and dynamics matched to the behavioral response. Temporal processing of temperature variations carried out by the DOG thermosensory neurons emerges in distinct motor responses during thermotaxis.

}, issn = {1091-6490}, doi = {10.1073/pnas.1416212112}, author = {Klein, Mason and Afonso, Bruno and Vonner, Ashley J and Hernandez-Nunez, Luis and Berck, Matthew and Tabone, Christopher J and Kane, Elizabeth A and Pieribone, Vincent A and Nitabach, Michael N and Cardona, Albert and Zlatic, Marta and Sprecher, Simon G and Gershow, Marc and Garrity, Paul A and Samuel, Aravinthan D T} } @inbook {47184, title = {Who is talking to whom: Synaptic partner detection in anisotropic volumes of insect brain.}, booktitle = {Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015}, number = {9349}, year = {2015}, pages = {661-8}, abstract = {

Automated reconstruction of neural connectivity graphs from electron microscopy image stacks is an essential step towards large-scale neural circuit mapping. While significant progress has recently been made in automated segmentation of neurons and detection of synapses, the problem of synaptic partner assignment for polyadic (one-to-many) synapses, prevalent in the\ Drosophila\ brain, remains unsolved. In this contribution, we propose a method which automatically assigns pre- and postsynaptic roles to neurites adjacent to a synaptic site. The method constructs a probabilistic graphical model over potential synaptic partner pairs which includes factors to account for a high rate of one-to-many connections, as well as the possibility of the same neuron to be pre-synaptic in one synapse and post-synaptic in another. The algorithm has been validated on a publicly available stack of ssTEM images of\ Drosophila\ neural tissue and has been shown to reconstruct most of the synaptic relations correctly.

}, doi = {10.1007/978-3-319-24553-9_81}, author = {Kreshuk, Anna and Funke, Jan and Cardona, Albert and Hamprecht, Fred A} } @article {6958, title = {Sample drift correction following 4D confocal time-lapse imaging.}, journal = {Journal of Visualized Experiments: JoVE}, year = {2014}, month = {2014 Apr 12}, abstract = {

The generation of four-dimensional (4D) confocal datasets; consisting of 3D image sequences over time; provides an excellent methodology to capture cellular behaviors involved in developmental processes.\  The ability to track and follow cell movements is limited by sample movements that occur due to drift of the sample or, in some cases, growth during image acquisition. Tracking cells in datasets affected by drift and/or growth will incorporate these movements into any analysis of cell position. This may result in the apparent movement of static structures within the sample. Therefore prior to cell tracking, any sample drift should be corrected. Using the open source Fiji distribution (1) \ of ImageJ (2,3) and the incorporated LOCI tools (4), we developed the Correct 3D drift plug-in to remove erroneous sample movement in confocal datasets. This protocol effectively compensates for sample translation or alterations in focal position by utilizing phase correlation to register each time-point of a four-dimensional confocal datasets while maintaining the ability to visualize and measure cell movements over extended time-lapse experiments.

}, issn = {1940-087X}, doi = {10.3791/51086}, author = {Parslow, Adam and Cardona, Albert and Bryson-Richardson, Robert J} } @article {5653, title = {Current challenges in open-source bioimage informatics.}, journal = {Nature Methods}, volume = {9}, year = {2012}, month = {2012 Jul}, pages = {661-5}, abstract = {

We discuss the advantages and challenges of the open-source strategy in biological image analysis and argue that its full impact will not be realized without better support and recognition of software engineers{\textquoteright} contributions to the biological sciences and more support of this development model from funders and institutions.

}, keywords = {Algorithms, Computational Biology, Computer-Assisted, Image Processing, Information Dissemination, Internet, Software, Software Design}, issn = {1548-7105}, doi = {10.1038/nmeth.2082}, author = {Cardona, Albert and Tomancak, Pavel} } @conference {5685, title = {Efficient automatic 3D-reconstruction of branching neurons from EM data.}, booktitle = {Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on}, year = {2012}, month = {2012}, abstract = {

We present an approach for the automatic reconstruction of neurons from 3D stacks of electron microscopy sections. The core of our system is a set of possible assignments, each of which proposes with some cost a link between neuron regions in consecutive sections. These can model the continuation, branching, and end of neurons. The costs are trainable on positive assignment samples. An optimal and consistent set of assignments is found for the whole volume at once by solving an integer linear program. This set of assignments determines both the segmentation into neuron regions and the correspondence between such regions in neighboring slices. For each picked assignment, a confidence value helps to prioritize decisions to be reviewed by a human expert. We evaluate the performance of our method on an annotated volume of neural tissue and compare to the current state of the art [26]. Our method is superior in accuracy and can be trained using a small number of samples. The observed inference times are linear with about 2 milliseconds per neuron and section.

}, author = {Funke, Jan and Andres, Bjoern and Hamprecht, Fred and Cardona, Albert and Cook, Matthew} } @article {5681, title = {Elastic volume reconstruction from series of ultra-thin microscopy sections.}, journal = {Nature Methods}, volume = {9}, year = {2012}, month = {2012 Jul}, pages = {717-20}, abstract = {

Anatomy of large biological specimens is often reconstructed from serially sectioned volumes imaged by high-resolution microscopy. We developed a method to reassemble a continuous volume from such large section series that explicitly minimizes artificial deformation by applying a global elastic constraint. We demonstrate our method on a series of transmission electron microscopy sections covering the entire 558-cell Caenorhabditis elegans embryo and a segment of the Drosophila melanogaster larval ventral nerve cord.

}, keywords = {Animals, Automated, Caenorhabditis elegans, Computer-Assisted, Drosophila melanogaster, Elasticity, Electron, Embryo, Image Processing, Larva, Microscopy, Microtomy, Nonmammalian, Pattern Recognition, Transmission}, issn = {1548-7105}, doi = {10.1038/nmeth.2072}, author = {Saalfeld, Stephan and Fetter, Richard D and Cardona, Albert and Tomancak, Pavel.} } @article {5634, title = {Fiji: an open-source platform for biological-image analysis.}, journal = {Nature Methods}, volume = {9}, year = {2012}, month = {2012 Jul}, pages = {676-82}, abstract = {

Fiji is a distribution of the popular open-source software ImageJ focused on biological-image analysis. Fiji uses modern software engineering practices to combine powerful software libraries with a broad range of scripting languages to enable rapid prototyping of image-processing algorithms. Fiji facilitates the transformation of new algorithms into ImageJ plugins that can be shared with end users through an integrated update system. We propose Fiji as a platform for productive collaboration between computer science and biology research communities.

}, keywords = {Algorithms, Animals, Brain, Computational Biology, Computer-Assisted, Drosophila melanogaster, Image Enhancement, Image Processing, Imaging, Information Dissemination, Software, Software Design, Three-Dimensional}, issn = {1548-7105}, doi = {10.1038/nmeth.2019}, author = {Schindelin, Johannes and Arganda-Carreras, Ignacio and Frise, Erwin and Kaynig, Verena and Longair, Mark and Pietzsch, Tobias and Preibisch, Stephan and Rueden, Curtis and Saalfeld, Stephan and Schmid, Benjamin and Tinevez, Jean-Yves and White, Daniel James and Hartenstein, Volker and Eliceiri, Kevin and Tomancak, Pavel and Cardona, Albert} } @article {5684, title = {TrakEM2 software for neural circuit reconstruction.}, journal = {PLoS One}, volume = {7}, year = {2012}, month = {2012}, pages = {e38011}, abstract = {

A key challenge in neuroscience is the expeditious reconstruction of neuronal circuits. For model systems such as Drosophila and C. elegans, the limiting step is no longer the acquisition of imagery but the extraction of the circuit from images. For this purpose, we designed a software application, TrakEM2, that addresses the systematic reconstruction of neuronal circuits from large electron microscopical and optical image volumes. We address the challenges of image volume composition from individual, deformed images; of the reconstruction of neuronal arbors and annotation of synapses with fast manual and semi-automatic methods; and the management of large collections of both images and annotations. The output is a neural circuit of 3d arbors and synapses, encoded in NeuroML and other formats, ready for analysis.

}, keywords = {Animals, Models, Nerve Net, Neuroimaging, Neurological, Neurons, Software, Synapses, Synaptic Transmission}, issn = {1932-6203}, doi = {10.1371/journal.pone.0038011}, author = {Cardona, Albert and Saalfeld, Stephan and Schindelin, Johannes and Arganda-Carreras, Ignacio and Preibisch, Stephan and Longair, Mark and Tomancak, Pavel and Hartenstein, Volker and Douglas, Rodney J} } @article {46785, title = {TrakEM2 software for neural circuit reconstruction.}, journal = {PLoS One}, volume = {7}, year = {2012}, month = {2012}, pages = {e38011}, abstract = {

A key challenge in neuroscience is the expeditious reconstruction of neuronal circuits. For model systems such as Drosophila and C. elegans, the limiting step is no longer the acquisition of imagery but the extraction of the circuit from images. For this purpose, we designed a software application, TrakEM2, that addresses the systematic reconstruction of neuronal circuits from large electron microscopical and optical image volumes. We address the challenges of image volume composition from individual, deformed images; of the reconstruction of neuronal arbors and annotation of synapses with fast manual and semi-automatic methods; and the management of large collections of both images and annotations. The output is a neural circuit of 3d arbors and synapses, encoded in NeuroML and other formats, ready for analysis.

}, keywords = {Animals, Models, Neurological, Nerve Net, Neuroimaging, Neurons, Software, Synapses, Synaptic Transmission}, issn = {1932-6203}, doi = {10.1371/journal.pone.0038011}, author = {Cardona, Albert and Saalfeld, Stephan and Schindelin, Johannes and Arganda-Carreras, Ignacio and Preibisch, Stephan and Longair, Mark and Tomancak, Pavel and Hartenstein, Volker and Douglas, Rodney J} } @article {5686, title = {The Drosophila larval visual system: high-resolution analysis of a simple visual neuropil.}, journal = {Developmental Biology}, volume = {358}, year = {2011}, month = {2011 Oct 1}, pages = {33-43}, abstract = {

The task of the visual system is to translate light into neuronal encoded information. This translation of photons into neuronal signals is achieved by photoreceptor neurons (PRs), specialized sensory neurons, located in the eye. Upon perception of light the PRs will send a signal to target neurons, which represent a first station of visual processing. Increasing complexity of visual processing stems from the number of distinct PR subtypes and their various types of target neurons that are contacted. The visual system of the fruit fly larva represents a simple visual system (larval optic neuropil, LON) that consists of 12 PRs falling into two classes: blue-senstive PRs expressing Rhodopsin 5 (Rh5) and green-sensitive PRs expressing Rhodopsin 6 (Rh6). These afferents contact a small number of target neurons, including optic lobe pioneers (OLPs) and lateral clock neurons (LNs). We combine the use of genetic markers to label both PR subtypes and the distinct, identifiable sets of target neurons with a serial EM reconstruction to generate a high-resolution map of the larval optic neuropil. We find that the larval optic neuropil shows a clear bipartite organization consisting of one domain innervated by PRs and one devoid of PR axons. The topology of PR projections, in particular the relationship between Rh5 and Rh6 afferents, is maintained from the nerve entering the brain to the axon terminals. The target neurons can be subdivided according to neurotransmitter or neuropeptide they use as well as the location within the brain. We further track the larval optic neuropil through development from first larval instar to its location in the adult brain as the accessory medulla.

}, keywords = {Animals, Confocal, Drosophila, Drosophila Proteins, Electron, Immunohistochemistry, Invertebrate, Larva, Microscopy, Neuropil, Ocular, Photoreceptor Cells, Rhodopsin, Synapses, Transmission, Vision}, issn = {1095-564X}, doi = {10.1016/j.ydbio.2011.07.006}, author = {Sprecher, Simon G and Cardona, Albert and Hartenstein, Volker.} } @article {5690, title = {As-rigid-as-possible mosaicking and serial section registration of large ssTEM datasets.}, journal = {Bioinformatics}, volume = {26}, year = {2010}, month = {2010 Jun 15}, pages = {i57-63}, abstract = {

Tiled serial section Transmission Electron Microscopy (ssTEM) is increasingly used to describe high-resolution anatomy of large biological specimens. In particular in neurobiology, TEM is indispensable for analysis of synaptic connectivity in the brain. Registration of ssTEM image mosaics has to recover the 3D continuity and geometrical properties of the specimen in presence of various distortions that are applied to the tissue during sectioning, staining and imaging. These include staining artifacts, mechanical deformation, missing sections and the fact that structures may appear dissimilar in consecutive sections.

}, keywords = {Animals, Databases, Drosophila, Electron, Factual, Imaging, Microscopy, Three-Dimensional, Transmission}, issn = {1367-4811}, doi = {10.1093/bioinformatics/btq219}, author = {Saalfeld, Stephan and Cardona, Albert and Hartenstein, Volker and Tomancak, Pavel.} } @article {5691, title = {A high-level 3D visualization API for Java and ImageJ.}, journal = {BMC Bioinformatics}, volume = {11}, year = {2010}, month = {2010}, pages = {274}, abstract = {

Current imaging methods such as Magnetic Resonance Imaging (MRI), Confocal microscopy, Electron Microscopy (EM) or Selective Plane Illumination Microscopy (SPIM) yield three-dimensional (3D) data sets in need of appropriate computational methods for their analysis. The reconstruction, segmentation and registration are best approached from the 3D representation of the data set.

}, keywords = {Automated, Computer Graphics, Computer-Assisted, Confocal, Image Interpretation, Imaging, Microscopy, Pattern Recognition, Programming Languages, Software, Three-Dimensional}, issn = {1471-2105}, doi = {10.1186/1471-2105-11-274}, author = {Schmid, Benjamin and Schindelin, Johannes and Cardona, Albert and Longair, Mark and Heisenberg, Martin.} } @article {5689, title = {Identifying neuronal lineages of Drosophila by sequence analysis of axon tracts.}, journal = {The Journal of Neuroscience}, volume = {30}, year = {2010}, month = {2010 Jun 2}, pages = {7538-53}, abstract = {

The Drosophila brain is formed by an invariant set of lineages, each of which is derived from a unique neural stem cell (neuroblast) and forms a genetic and structural unit of the brain. The task of reconstructing brain circuitry at the level of individual neurons can be made significantly easier by assigning neurons to their respective lineages. In this article we address the automation of neuron and lineage identification. We focused on the Drosophila brain lineages at the larval stage when they form easily recognizable secondary axon tracts (SATs) that were previously partially characterized. We now generated an annotated digital database containing all lineage tracts reconstructed from five registered wild-type brains, at higher resolution and including some that were previously not characterized. We developed a method for SAT structural comparisons based on a dynamic programming approach akin to nucleotide sequence alignment and a machine learning classifier trained on the annotated database of reference SATs. We quantified the stereotypy of SATs by measuring the residual variability of aligned wild-type SATs. Next, we used our method for the identification of SATs within wild-type larval brains, and found it highly accurate (93-99\%). The method proved highly robust for the identification of lineages in mutant brains and in brains that differed in developmental time or labeling. We describe for the first time an algorithm that quantifies neuronal projection stereotypy in the Drosophila brain and use the algorithm for automatic neuron and lineage recognition.

}, keywords = {Algorithms, Animals, Automatic Data Processing, Axons, Brain, Brain Mapping, Caspase 3, Cell Lineage, Computer-Assisted, Confocal, Dendrites, Drosophila, Drosophila Proteins, Embryo, Genetically Modified, Green Fluorescent Proteins, Image Processing, Microscopy, Models, Neurological, Neurons, Nonmammalian, Reproducibility of Results, Software}, issn = {1529-2401}, doi = {10.1523/JNEUROSCI.0186-10.2010}, author = {Cardona, Albert and Saalfeld, Stephan and Arganda, Ignacio and Pereanu, Wayne and Schindelin, Johannes and Hartenstein, Volker.} } @article {5687, title = {An integrated micro- and macroarchitectural analysis of the Drosophila brain by computer-assisted serial section electron microscopy.}, journal = {PLoS Biology}, volume = {8}, year = {2010}, month = {2010}, abstract = {

The analysis of microcircuitry (the connectivity at the level of individual neuronal processes and synapses), which is indispensable for our understanding of brain function, is based on serial transmission electron microscopy (TEM) or one of its modern variants. Due to technical limitations, most previous studies that used serial TEM recorded relatively small stacks of individual neurons. As a result, our knowledge of microcircuitry in any nervous system is very limited. We applied the software package TrakEM2 to reconstruct neuronal microcircuitry from TEM sections of a small brain, the early larval brain of Drosophila melanogaster. TrakEM2 enables us to embed the analysis of the TEM image volumes at the microcircuit level into a light microscopically derived neuro-anatomical framework, by registering confocal stacks containing sparsely labeled neural structures with the TEM image volume. We imaged two sets of serial TEM sections of the Drosophila first instar larval brain neuropile and one ventral nerve cord segment, and here report our first results pertaining to Drosophila brain microcircuitry. Terminal neurites fall into a small number of generic classes termed globular, varicose, axiform, and dendritiform. Globular and varicose neurites have large diameter segments that carry almost exclusively presynaptic sites. Dendritiform neurites are thin, highly branched processes that are almost exclusively postsynaptic. Due to the high branching density of dendritiform fibers and the fact that synapses are polyadic, neurites are highly interconnected even within small neuropile volumes. We describe the network motifs most frequently encountered in the Drosophila neuropile. Our study introduces an approach towards a comprehensive anatomical reconstruction of neuronal microcircuitry and delivers microcircuitry comparisons between vertebrate and insect neuropile.

}, keywords = {Animals, Brain, Computer-Assisted, Drosophila melanogaster, Electron, Humans, Image Processing, Imaging, Microscopy, Neurons, Neuropil, Software, Synapses, Three-Dimensional, Transmission}, issn = {1545-7885}, doi = {10.1371/journal.pbio.1000502}, author = {Cardona, Albert and Saalfeld, Stephan and Preibisch, Stephan and Schmid, Benjamin and Cheng, Anchi and Pulokas, Jim and Tomancak, Pavel and Hartenstein, Volker.} } @article {5367, title = {Lineage-based connectivity map of the Drosophila brain.}, journal = {Journal of Neurogenetics}, volume = {24}, year = {2010}, month = {2010}, pages = {79}, author = {Hartenstein, Volker and Pereanu, Wayne and Truman, Jim and Cardona, Albert} } @article {5688, title = {Structure of the central nervous system of a juvenile acoel, Symsagittifera roscoffensis.}, journal = {Development Genes \& Evolution}, volume = {220}, year = {2010}, month = {2010 Sep}, pages = {61-76}, abstract = {

The neuroarchitecture of Acoela has been at the center of morphological debates. Some authors, using immunochemical tools, suggest that the nervous system in Acoela is organized as a commissural brain that bears little resemblance to the central, ganglionic type brain of other flatworms, and bilaterians in general. Others, who used histological staining on paraffin sections, conclude that it is a compact structure (an endonal brain; e.g., Raikova 2004; von Graff 1891; Delage Arch Zool Exp G{\'e}n 4:109-144, 1886). To address this question with modern tools, we have obtained images from serial transmission electron microscopic sections of the entire hatchling of Symsagittifera roscoffensis. In addition, we obtained data from wholemounts of hatchlings labeled with markers for serotonin and tyrosinated tubulin. Our data show that the central nervous system of a juvenile S. roscoffensis consists of an anterior compact brain, formed by a dense, bilobed mass of neuronal cell bodies surrounding a central neuropile. The neuropile flanks the median statocyst and contains several types of neurites, classified according to their types of synaptic vesicles. The neuropile issues three pairs of nerve cords that run at different dorso-ventral positions along the whole length of the body. Neuronal cell bodies flank the cords, and neuromuscular synapses are abundant. The TEM analysis also reveals different classes of peripheral sensory neurons and provides valuable information about the spatial relationships between neurites and other cell types within the brain and nerve cords. We conclude that the acoel S. roscoffensis has a central brain that is comparable in size and architecture to the brain of other (rhabditophoran) flatworms.

}, keywords = {Anatomic, Animals, Brain, Central Nervous System, Electron, Imaging, Microscopy, Models, Muscles, Nerve Fibers, Nerve Net, Neurites, Neuropil, Platyhelminths, Sensory Receptor Cells, Synapses, Three-Dimensional, Transmission}, issn = {1432-041X}, doi = {10.1007/s00427-010-0328-2}, author = {Bery, Amandine and Cardona, Albert and Martinez, Pedro and Hartenstein, Volker.} } @article {5817, title = {CATMAID: collaborative annotation toolkit for massive amounts of image data.}, journal = {Bioinformatics}, volume = {25}, year = {2009}, month = {2009 Aug 1}, pages = {1984-6}, abstract = {

SUMMARY: High-resolution, three-dimensional (3D) imaging of large biological specimens generates massive image datasets that are difficult to navigate, annotate and share effectively. Inspired by online mapping applications like GoogleMaps, we developed a decentralized web interface that allows seamless navigation of arbitrarily large image stacks. Our interface provides means for online, collaborative annotation of the biological image data and seamless sharing of regions of interest by bookmarking. The CATMAID interface enables synchronized navigation through multiple registered datasets even at vastly different scales such as in comparisons between optical and electron microscopy. AVAILABILITY: http://fly.mpi-cbg.de/catmaid.

}, keywords = {Algorithms, Computational Biology, Computer Graphics, Database Management Systems, Databases, Factual, Imaging, Information Storage and Retrieval, Software, Three-Dimensional}, issn = {1367-4811}, doi = {10.1093/bioinformatics/btp266}, author = {Saalfeld, Stephan and Cardona, Albert and Hartenstein, Volker and Tomancak, Pavel} } @article {5693, title = {Neuronal fiber tracts connecting the brain and ventral nerve cord of the early Drosophila larva.}, journal = {The Journal of Comparative Neurology}, volume = {515}, year = {2009}, month = {2009 Aug 1}, pages = {427-40}, abstract = {

By using a combination of dye injections, clonal labeling, and molecular markers, we have reconstructed the axonal connections between brain and ventral nerve cord of the first-instar Drosophila larva. Out of the approximately 1,400 neurons that form the early larval brain hemisphere, less than 50 cells have axons descending into the ventral nerve cord. Descending neurons fall into four topologically defined clusters located in the anteromedial, anterolateral, dorsal, and basoposterior brain, respectively. The anterolateral cluster represents a lineage derived from a single neuroblast. Terminations of descending neurons are almost exclusively found in the anterior part of the ventral nerve cord, represented by the gnathal and thoracic neuromeres. This region also contains small numbers of neurons with axons ascending into the brain. Terminals of the ascending axons are found in the same basal brain regions that also contain descending neurons. We have mapped ascending and descending axons to the previously described scaffold of longitudinal fiber tracts that interconnect different neuromeres of the ventral nerve cord and the brain. This work provides a structural framework for functional and genetic studies addressing the control of Drosophila larval behavior by brain circuits.

}, keywords = {Animals, Brain, Cell Count, Drosophila, Drosophila Proteins, Ganglia, Genetically Modified, Green Fluorescent Proteins, Imaging, Invertebrate, Larva, Models, Neural Pathways, Neurological, Neurons, Spinal Cord, Three-Dimensional}, issn = {1096-9861}, doi = {10.1002/cne.22086}, author = {Cardona, Albert and Larsen, Camilla and Hartenstein, Volker.} } @article {5818, title = {Dynamics of zebrafish somitogenesis.}, journal = {Developmental Dynamics}, volume = {237}, year = {2008}, month = {2008 Mar}, pages = {545-53}, abstract = {

Vertebrate somitogenesis is a rhythmically repeated morphogenetic process. The dependence of somitogenesis dynamics on axial position and temperature has not been investigated systematically in any species. Here we use multiple embryo time-lapse imaging to precisely estimate somitogenesis period and somite length under various conditions in the zebrafish embryo. Somites form at a constant period along the trunk, but the period gradually increases in the tail. Somite length varies along the axis in a stereotypical manner, with tail somites decreasing in size. Therefore, our measurements prompt important modifications to the steady-state Clock and Wavefront model: somitogenesis period, somite length, and wavefront velocity all change with axial position. Finally, we show that somitogenesis period changes more than threefold across the standard developmental temperature range, whereas the axial somite length distribution is temperature invariant. This finding indicates that the temperature-induced change in somitogenesis period exactly compensates for altered axial growth.

}, keywords = {Animals, Body Patterning, Embryonic Development, Morphogenesis, Somites, Zebrafish}, issn = {1058-8388}, doi = {10.1002/dvdy.21458}, author = {Schr{\"o}ter, Christian and Herrgen, Leah and Cardona, Albert and Brouhard, Gary J and Feldman, Benjamin and Oates, Andrew C} } @article {5819, title = {Neurobiology of the basal platyhelminth Macrostomum lignano: map and digital 3D model of the juvenile brain neuropile.}, journal = {Development Genes \& Evolution}, volume = {217}, year = {2007}, month = {2007 Aug}, pages = {569-84}, abstract = {

We have analyzed brain structure in Macrostomum lignano, a representative of the basal platyhelminth taxon Macrostomida. Using confocal microscopy and digital 3D modeling software on specimens labeled with general markers for neurons (tyrTub), muscles (phalloidin), and nuclei (Sytox), an atlas and digital model of the juvenile Macrostomum brain was generated. The brain forms a ganglion with a central neuropile surrounded by a cortex of neuronal cell bodies. The neuropile contains a stereotypical array of compact axon bundles, as well as branched terminal axons and dendrites. Muscle fibers penetrate the flatworm brain horizontally and vertically at invariant positions. Beside the invariant pattern of neurite bundles, these "cerebral muscles" represent a convenient system of landmarks that help define discrete compartments in the juvenile brain. Commissural axon bundles define a dorsal and ventro-medial neuropile compartment, respectively. Longitudinal axons that enter the neuropile through an invariant set of anterior and posterior nerve roots define a ventro-basal and a central medial compartment in the neuropile. Flanking these "fibrous" compartments are neuropile domains that lack thick axon bundles and are composed of short collaterals and terminal arborizations of neurites. Two populations of neurons, visualized by antibodies against FMRFamide and serotonin, respectively, were mapped relative to compartment boundaries. This study will aid in the documentation and interpretation of patterns of gene expression, as well as functional studies, in the developing Macrostomum brain.

}, keywords = {Animals, Brain, Brain Mapping, Cells, Computer Simulation, Cultured, Imaging, Models, Muscle Fibers, Neurological, Neuropil, Platyhelminths, Skeletal, Three-Dimensional}, issn = {0949-944X}, doi = {10.1007/s00427-007-0166-z}, author = {Morris, Joshua and Cardona, Albert and De Miguel-Bonet, Maria Del Mar and Hartenstein, Volker} } @article {5820, title = {Early embryogenesis of planaria: a cryptic larva feeding on maternal resources.}, journal = {Development Genes \& Evolution}, volume = {216}, year = {2006}, month = {2006 Nov}, pages = {667-81}, abstract = {

The early planarian embryo presents a complete ciliated epidermis and a pharynx and feeds on maternal yolk cells. In this paper, we report on all the elements involved in the formation of such an autonomous embryo, which we name cryptic larva. First, we provide a description of the spherical and fusiform yolk cells and their relationship with the blastomeres, from the laying of the egg capsule up to their final fate in mid embryonic stages. Then, we describe the early cleavage and the subsequent development of the tissues of the cryptic larva, namely, the primary epidermis, the embryonic pharynx, and a new cell type, the star cells. Finally, we discuss the possibility that the cryptic larva either constitutes a vestigial larva or, more likely, is the evolutionary result of the competition between multiple embryos for the limited and shared maternal resources in the egg capsule.

}, keywords = {Animals, Electron, Feeding Behavior, In Situ Hybridization, Larva, Microscopy, Planarians}, issn = {0949-944X}, doi = {10.1007/s00427-006-0094-3}, author = {Cardona, Albert and Hartenstein, Volker and Romero, Rafael} } @article {5822, title = {The embryonic development of the triclad Schmidtea polychroa.}, journal = {Development Genes \& Evolution}, volume = {215}, year = {2005}, month = {2005 Mar}, pages = {109-31}, abstract = {

Triclad flatworms are well studied for their regenerative properties, yet little is known about their embryonic development. We here describe the embryonic development of the triclaty 120d Schmidtea polychroa, using histological and immunocytochemical analysis of whole-mount preparations and sections. During early cleavage (stage 1), yolk cells fuse and enclose the zygote into a syncytium. The zygote divides into blastomeres that dissociate and migrate into the syncytium. During stage 2, a subset of blastomeres differentiate into a transient embryonic epidermis that surrounds the yolk syncytium, and an embryonic pharynx. Other blastomeres divide as a scattered population of cells in the syncytium. During stage 3, the embryonic pharynx imbibes external yolk cells and a gastric cavity is formed in the center of the syncytium. The syncytial yolk and the blastomeres contained within it are compressed into a thin peripheral rind. From a location close to the embryonic pharynx, which defines the posterior pole, bilaterally symmetric ventral nerve cord pioneers extend forward. Stage 4 is characterized by massive proliferation of embryonic cells. Large yolk-filled cells lining the syncytium form the gastrodermis. During stage 5 the external syncytial yolk mantle is resorbed and the embryonic cells contained within differentiate into an irregular scaffold of muscle and nerve cells. Epidermal cells differentiate and replace the transient embryonic epidermis. Through stages 6-8, the embryo adopts its worm-like shape, and loosely scattered populations of differentiating cells consolidate into structurally defined organs. Our analysis reveals a picture of S. polychroa embryogenesis that resembles the morphogenetic events underlying regeneration.

}, keywords = {Animals, Blastomeres, Embryo, Epidermis, Female, Morphogenesis, Nonmammalian, Ovum, Turbellaria}, issn = {0949-944X}, doi = {10.1007/s00427-004-0455-8}, author = {Cardona, Albert and Hartenstein, Volker and Romero, Rafael} } @article {5821, title = {An in situ hybridization protocol for planarian embryos: monitoring myosin heavy chain gene expression.}, journal = {Development Genes \& Evolution}, volume = {215}, year = {2005}, month = {2005 Sep}, pages = {482-88}, abstract = {

The monitoring of gene expression is fundamental for understanding developmental biology. Here we report a successful experimental protocol for in situ hybridization in both whole-mount and sectioned planarian embryos. Conventional in situ hybridization techniques in developmental biology are used on whole-mount preparations. However, given that the inherent lack of external morphological markers in planarian embryos hinders the proper interpretation of gene expression data in whole-mount preparations, here we used sectioned material. We discuss the advantages of sectioned versus whole-mount preparations, namely, better probe penetration, improved tissue preservation, and the possibility to interpret gene expression in relation to internal morphological markers such as the epidermis, the embryonic and definitive pharynges, and the gastrodermis. Optimal fixatives and embedding methods for sectioning are also discussed.

}, keywords = {Animals, Developmental, Dose-Response Relationship, Drug, Embryo, Epidermis, Gene Expression Regulation, In Situ Hybridization, Myosin Heavy Chains, Nonmammalian, Planarians, Time Factors, Tissue Preservation}, issn = {0949-944X}, doi = {10.1007/s00427-005-0003-1}, author = {Cardona, Albert and Fern{\'a}ndez, Juani and Solana, Jordi and Romero, Rafael} } @article {5823, title = {A novel invertebrate trophic factor related to invertebrate neurotrophins is involved in planarian body regional survival and asexual reproduction.}, journal = {Developmental biology}, volume = {252}, year = {2002}, month = {2002 Dec 15}, pages = {188-201}, abstract = {

Trophic factors are a heterogeneous group of molecules that promote cell growth and survival. In freshwater planarians, the small secreted protein TCEN49 is linked to the regional maintenance of the planarian central body region. To investigate its function in vivo, we performed loss-of-function and gain-of-function experiments by RNA interference and by the implantation of microbeads soaked in TCEN49, respectively. We show that TCEN49 behaves as a trophic factor involved in central body region neuron survival. In planarian tail regenerates, tcen49 expression inhibition by double-stranded RNA interference causes extensive apoptosis in various cell types, including nerve cells. This phenotype is rescued by the implantation of microbeads soaked in TCEN49 after RNA interference. On the other hand, in organisms committed to asexual reproduction, both tcen49 mRNA and its protein are detected not only in the central body region but also in the posterior region, expanding from cells close to the ventral nerve chords. In some cases, the implantation of microbeads soaked in TCEN49 in the posterior body region drives organisms to reproduce asexually, and the inhibition of tcen49 expression obstructs this process, suggesting a link between the central nervous system, TCEN49, regional induction, and asexual reproduction. Finally, the distribution of TCEN49 cysteine and tyrosine residues also points to a common evolutionary origin for TCEN49 and molluscan neurotrophins.

}, keywords = {Amino Acid, Amino Acid Sequence, Animals, Biological Factors, Immunohistochemistry, In Situ Hybridization, In Situ Nick-End Labeling, Molecular Sequence Data, Nerve Growth Factors, Planarians, Reproduction, Sequence Homology}, issn = {0012-1606}, author = {Bueno, David and Fern{\`a}ndez-Rodr{\'\i}guez, Juana and Cardona, Albert and Hern{\`a}ndez-Hern{\`a}ndez, Victor and Romero, Rafael} }