Centralized brain networks underlie body part coordination during grooming DOI Creative Commons
Pembe Gizem Özdil, Jonathan Arreguit,

Camille Scherrer

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 17, 2024

Abstract Animals must coordinate multiple body parts to perform important tasks such as grooming, or locomotion. How this movement synchronization is achieved by the nervous system remains largely unknown. Here, we uncover neural basis of part coordination during goal-directed antennal grooming in fly, Drosophila melanogaster . We find that unilateral bilateral one both antenna, respectively, arises from synchronized movements head, antennae, and forelegs. Simulated replay these kinematics a biomechanical model shows makes more efficient permitting unobstructed, forceful collisions between foreleg tibiae antennae. Movements do not require proprioceptive sensory feedback others: neither amputation forelegs nor immobilization head prevented other unperturbed parts. By constructing comprehensive network fly brain connectome, centralized interneurons shared premotor neurons interconnect thus likely synchronize neck, antennal, motor networks. A simulated activation screen reveals cell classes required for grooming. These cells form two coupled circuit motifs enable robust synchronization: recurrent excitatory subnetwork promotes contralateral pitch broadcast inhibition suppresses ipsilateral pitch. Similarly controllers may flexible co-recruitment subserve variety behaviors.

Language: Английский

Neuronal wiring diagram of an adult brain DOI Creative Commons
Sven Dorkenwald, Arie Matsliah, Amy Sterling

et al.

Nature, Journal Year: 2024, Volume and Issue: 634(8032), P. 124 - 138

Published: Oct. 2, 2024

Language: Английский

Citations

134
Whole-brain annotation and multi-connectome cell typing of Drosophila DOI Creative Commons
Philipp Schlegel, Yijie Yin, Alexander Shakeel Bates

et al.

Nature, Journal Year: 2024, Volume and Issue: 634(8032), P. 139 - 152

Published: Oct. 2, 2024

Language: Английский

Citations

84
Neural circuit mechanisms underlying context-specific halting in Drosophila DOI Creative Commons

Neha Sapkal,

Nino Mancini,

Divya Sthanu Kumar

et al.

Nature, Journal Year: 2024, Volume and Issue: 634(8032), P. 191 - 200

Published: Oct. 2, 2024

Language: Английский

Citations

15
Connectomic analysis of taste circuits in Drosophila DOI Creative Commons

Sydney R. Walker,

Marco Peña-Garcia,

Anita V. Devineni

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 12, 2025

Abstract Our sense of taste is critical for regulating food consumption. The fruit fly Drosophila represents a highly tractable model to investigate mechanisms processing, but circuits beyond sensory neurons are largely unidentified. Here, we use whole-brain connectome the organization circuits. We trace pathways from four populations that detect different modalities and project subesophageal zone (SEZ), primary region brain. find second-order primarily located within SEZ segregated by modality, whereas third-order have more projections outside overlap between modalities. Taste out innervate regions implicated in feeding, olfactory learning. analyze interconnections pathways, characterize modality-dependent differences neuron properties, identify other types inputs onto computational simulations relate neuronal connectivity predicted activity. These studies provide insight into architecture

Language: Английский

Citations

0
An ultrastructural map of a spinal sensorimotor circuit reveals the potential of astroglia modulation DOI Creative Commons

Zachary M. Koh,

Ricky Avalos Arceo,

Jacob Hammer

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: March 6, 2025

Information flow through circuits is dictated by the precise connectivity of neurons and glia. While a single astrocyte can contact many synapses, how glial-synaptic interactions are arranged within circuit to impact information remains understudied. Here, we use local spinal sensorimotor in zebrafish as model understand astroglia connected vertebrate circuit. With semi-automated cellular reconstructions automated approaches map all synaptic connections, identified connections circuit, from dorsal root ganglia interneurons finally motor neurons. This revealed complex network that interact We then mapped glial processes tripartite synapses demonstrate equally distributed across supporting idea glia modulate at different levels. show multiple astroglia, including bona fide astrocytes, sensory neuron's each these parts detailed reveals an extensive process stimuli vertebrate. utilized this ultrastructural thresholding modulation could alter circuits. validated with GCaMP6s imaging ganglia, astroglia. work provides foundational resource detailing organization offering insights influence neural networks.

Language: Английский

Citations

0
Correlative light and electron microscopy reveals the fine circuit structure underlying evidence accumulation in larval zebrafish DOI Creative Commons
Jonathan Boulanger-Weill, F. Kampf, Richard Schalek

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: March 15, 2025

Accumulating information is a critical component of most circuit computations in the brain across species, yet its precise implementation at synaptic level remains poorly understood. Dissecting such neural circuits vertebrates requires knowledge functional properties and ability to directly correlate dynamics with underlying wiring diagram same animal. Here we combine calcium imaging ultrastructural reconstruction, using visual motion accumulation paradigm larval zebrafish. Using connectomic analyses functionally identified cells computational modeling, show that bilateral inhibition, disinhibition, recurrent connectivity are prominent motifs for sensory within anterior hindbrain. We also demonstrate similar insights about structure-function relationship this can be obtained through complementary methods involving cell-specific morphological labeling via photo-conversion neuronal response types. used our unique ground truth datasets train test novel classifier algorithm, allowing us assign labels neurons from libraries where lacking. The resulting feature-rich library identities connectomes enabled constrain biophysically realistic network model hindbrain reproduce observed make testable predictions future experiments. Our work exemplifies power hypothesis-driven electron microscopy paired recordings gain mechanistic into signal processing provides framework dissecting vertebrates.

Language: Английский

Citations

0
Characterizing stage-dependent neuromotor patterns in Drosophila melanogaster larvae through a graph construction approach DOI Creative Commons

Yuri Bilk Matos,

Nadezhda Velichkova,

Mateo Kirchknopf Riera

et al.

Frontiers in Neuroscience, Journal Year: 2025, Volume and Issue: 19

Published: March 20, 2025

We investigated developmental changes in neuromotor activity patterns Drosophila melanogaster larvae by combining calcium imaging with a novel graph-based mathematical framework. This allows to perform relevant quantitative comparisons between first (L1) and early third (L3) instar larvae. found that L1 exhibit higher frequencies of spontaneous neural fail propagate, indicating less mature system. In contrast, L3 show efficient initiation propagation along the entire ventral nerve cord (VNC), resulting longer chains. The time chain VNC is shorter than L3, probably reflecting increased length VNC. On other hand, peristaltic waves through whole body during locomotion much faster L1, so correlating velocities greater dispersal rates. Hence, VNC-body interaction determines characteristics crawling Further, asymmetrical neuronal activity, predominantly anterior segments larvae, was associated turning behaviors enhanced navigation. These findings illustrate proposed model provides systematic method analyze across stages, for instance, helping uncover maturation stages circuits their role locomotion.

Language: Английский

Citations

0
The coming wave of confluent biosynthetic, bioinformational and bioengineering technologies DOI Creative Commons
Isak S. Pretorius, Thomas A. Dixon,

Michael Boers

et al.

Nature Communications, Journal Year: 2025, Volume and Issue: 16(1)

Published: March 26, 2025

Information and energy flows form the basis of all economic activity, with advanced technologies underpinning both. Profound uncertainties caused by geostrategic forces have accelerated a trillion-dollar race for technological superiority. The result is an onrush "technovation" at nexus synthetic biotechnologies, information technologies, nanotechnologies engineering technologies. This article explores recent breakthroughs in integrating chip bioinformational engineering. It investigates prospects biomolecules as carriers stored digital data, cells-on-a-chip, hybrid semiconductors next-generation artificial intelligence processors. Consilience—unity knowledge—redefines possibilities emerging from living interface biologically-inspired engineering-enabled biology. biotechnology, technology, nanotechnology heart innovation. Here authors explore technology processing this bio-inspired

Language: Английский

Citations

0
Using Single-Cell RNA sequencing with Drosophila, Zebrafish, and mouse models for studying Alzheimer’s and Parkinson’s disease DOI Creative Commons

Faye T.C. Lau,

Rebecca Binacchi,

S. Brugnara

et al.

Neuroscience, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Language: Английский

Citations

0
A complete wiring diagram of the fruit-fly brain DOI
Anita V. Devineni

Nature, Journal Year: 2024, Volume and Issue: 634(8032), P. 35 - 36

Published: Oct. 2, 2024

Language: Английский

Citations

3