bioRxiv Science⌕ Search

bioRxiv · 10.1101/231399

Drosophila Fezf coordinates laminar-specific connectivity through cell-intrinsic and cell-extrinsic mechanisms

Abstract

Laminar arrangement of neural connections is a fundamental feature of neural circuit organization. Identifying mechanisms that coordinate neural connections within correct layers is thus vital for understanding how neural circuits are assembled. In the medulla of the Drosophila visual system neurons form connections within ten parallel layers. The M3 layer receives input from two neuron types that sequentially innervate M3 during development. Here we show that M3-specific innervation by both neurons is coordinated by Drosophila Fezf (dFezf), a conserved transcription factor that is selectively expressed by the earlier targeting input neuron. In this cell, dFezf instructs layer specificity and activates the expression of a secreted molecule (Netrin) that regulates the layer specificity of the other input neuron. We propose that employment of transcriptional modules that cell-intrinsically target neurons to specific layers, and cell-extrinsically recruit other neurons is a general mechanism for building layered networks of neural connections.

Source connections

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Pecot, M., Santiago, I., Peng, J., Ahn, C., Gur, B., Xu, C., Karakhanyan, A., Silies, M.. 2017-12-08. Drosophila Fezf coordinates laminar-specific connectivity through cell-intrinsic and cell-extrinsic mechanisms. https://doi.org/10.1101/231399

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Presynaptic PMCA interacts with Dlg, regulating in vivo synaptic calcium in Drosophila larval NMJ

Precise regulation of presynaptic Ca2+is essential for neurotransmitter release and synaptic function. At the Drosophila larval neuromuscular junction (NMJ), the plasma membrane Ca2+-ATPase (PMCA) mediates presynaptic Ca2+; extrusion and is enriched in peri-active-zone membrane domains. Here, we investigated how PMCA distribution is regulated and contributes to synaptic function. Co-immunoprecipitation and super-resolution STED microscopy revealed that PMCA interacts and co-localizes with the MAGUK scaffold protein Discs large (Dlg) in discrete presynaptic membrane clusters. Neuronal depletion of the DlgS97 isoform disrupted PMCA clustering without substantially altering its abundance, redistributing the pump into smaller membrane puncta. Reporter assays further showed that PDZ-binding motifs in the PMCA C-terminus mediate its interaction with Dlg and are required for normal cluster formation. Electrophysiological analyses revealed that reducing either PMCA or Dlg increased spontaneous neurotransmitter release and enhanced asynchronous release following high-frequency stimulation. PMCA depletion also prolonged postsynaptic current decay during repetitive stimulation, implicating PMCA in the rapid regulation of presynaptic Ca2+; signals. Together, these findings identify Dlg as a key organizer of presynaptic PMCA and establish a link between synaptic scaffold organization and Ca2+; homeostasis in vivo. Our results demonstrate that PMCA contributes to maintaining resting presynaptic Ca2+; levels, restoring Ca2+; homeostasis after repetitive stimulation, and regulating Ca2+; dynamics following a single stimulus. These findings highlight the importance of the nanoscale organization of Ca2+; extrusion machinery in controlling neurotransmitter release at the Drosophila NMJ.

neuroscience↗

Context-dependent effects of ketamine on emotional evidence integration

Understanding others' emotions requires continuously integrating noisy affective information as emotional states change over time. Research on emotion processing, however, has thus far focused on static environments or discrete events. Here, we developed a continuous emotional evidence integration task in which participants had to track the average emotional state in a rapidly changing sequence of faces under different levels of environmental volatility. This allowed us to examine emotion integration in changing environments. In online (n=92) and in-person (n=29) cohorts, participants integrated emotional information over longer timescales in stable environments while relying more strongly on recent evidence under volatility, consistent with principles established in perceptual decision-making. We further examined whether this process was modulated by ketamine, an NMDA receptor antagonist associated with evidence integration in the perceptual domain. We conducted a double-blind, placebo-controlled, within-subject study and probed emotion integration during the post-acute period, approximately 1.5 hours after the infusion. Ketamine modulated the temporal weighting of emotional evidence, shifting the balance between recent and past information depending on environmental volatility. Together, these findings show that emotional evidence integration dynamically adapts to the statistical structure of the environment and that ketamine can further modulate this process, which may have relevance for affective disorders.

neuroscience↗

Characterising cortical perturbation-recovery dynamics using TMS-EEG: The Brain Dynamic Toolbox

Objective: To adapt dynamical measures used in computational and experimental perturbation models to human transcranial magnetic stimulation and electroencephalography (TMS-EEG) and determine whether analysis of the extended post-stimulation trajectory reveals additional features of the cortical response to long-interval intracortical inhibition (LICI). Methods: Single pulse and paired pulse LICI TMS-EEG responses from the bilateral dorsolateral prefrontal cortex were re-analysed in 16 healthy adults. At the stimulation site, 75 single-pulse and 75 paired-pulse trials were delivered; paired pulses comprised conditioning and test stimuli separated by 100 ms. Responses from 20 frontocentral EEG channels were analysed from 50-950 ms following TMS using the open source Brain Dynamic Metric Toolbox. Perturbative Integration Latency Index (PILI) indexed cortical resilience via response energy and recovery, Autocorrelation Function Width (ACFW) captured temporal memory, and Lyapunov Exponent (LE) indicated the dynamical stability. Linear mixed-effects models examined temporal, spectral, and time-frequency effects from the measured metrics. Results: LICI altered the temporal evolution of the dynamical measures. PILI distinguished conditions in the earliest post-stimulation window before converging, whereas ACFW differences persisted across a broader early interval. LE showed weaker and less consistent discrimination. Spectral effects were most evident for ACFW, while time-frequency analyses revealed later, frequency-specific LICI effects for PILI and ACFW but not LE. Conclusions: The extended post-stimulation trajectory revealed LICI-related differences in cortical resilience and temporal memory with distinct temporal and spectral profiles, while effects on dynamical stability were less consistent. Significance: The Brain Dynamic Metric Toolbox provides a reproducible framework for quantifying perturbation-recovery dynamics in TMS-EEG and demonstrates that the extended perturbational response contains information about LICI not captured by discrete early response measures.

neuroscience↗