Extracting temporal relationships between weakly coupled peptidergic and motoneuronal signaling: Application to Drosophila ecdysis behavior

Neuromodulators, such as neuropeptides, can regulate and reconfigure neural circuits to alter their output, affecting in this way animal physiology and behavior. The interplay between the activity of neuronal circuits, their modulation by neuropeptides, and the resulting behavior, is still poorly un...

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Bibliographic Details
Main Authors: Ewer, J. (Author), Mena, W. (Author), Orio, P. (Author), Piñeiro, M. (Author)
Format: Article
Language:English
Published: Public Library of Science 2021
Subjects:
Online Access:View Fulltext in Publisher
LEADER 03820nam a2200601Ia 4500
001 10.1371-journal.pcbi.1008933
008 220427s2021 CNT 000 0 und d
020 |a 1553734X (ISSN) 
245 1 0 |a Extracting temporal relationships between weakly coupled peptidergic and motoneuronal signaling: Application to Drosophila ecdysis behavior 
260 0 |b Public Library of Science  |c 2021 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1371/journal.pcbi.1008933 
520 3 |a Neuromodulators, such as neuropeptides, can regulate and reconfigure neural circuits to alter their output, affecting in this way animal physiology and behavior. The interplay between the activity of neuronal circuits, their modulation by neuropeptides, and the resulting behavior, is still poorly understood. Here, we present a quantitative framework to study the relationships between the temporal pattern of activity of peptidergic neurons and of motoneurons during Drosophila ecdysis behavior, a highly stereotyped motor sequence that is critical for insect growth. We analyzed, in the time and frequency domains, simultaneous intracellular calcium recordings of peptidergic CCAP (crustacean cardioactive peptide) neurons and motoneurons obtained from isolated central nervous systems throughout fictive ecdysis behavior induced ex vivo by Ecdysis triggering hormone. We found that the activity of both neuronal populations is tightly coupled in a cross-frequency manner, suggesting that CCAP neurons modulate the frequency of motoneuron firing. To explore this idea further, we used a probabilistic logistic model to show that calcium dynamics in CCAP neurons can predict the oscillation of motoneurons, both in a simple model and in a conductance-based model capable of simulating many features of the observed neural dynamics. Finally, we developed an algorithm to quantify the motor behavior observed in videos of pupal ecdysis, and compared their features to the patterns of neuronal calcium activity recorded ex vivo. We found that the motor activity of the intact animal is more regular than the motoneuronal activity recorded from ex vivo preparations during fictive ecdysis behavior; the analysis of the patterns of movement also allowed us to identify a new post-ecdysis phase. © 2021 Piñeiro et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 
650 0 4 |a algorithm 
650 0 4 |a animal 
650 0 4 |a Animals 
650 0 4 |a Article 
650 0 4 |a conductance 
650 0 4 |a continuous wavelet transform 
650 0 4 |a controlled study 
650 0 4 |a crustacean cardioactive peptide 
650 0 4 |a Drosophila 
650 0 4 |a Drosophila 
650 0 4 |a Drosophila melanogaster 
650 0 4 |a ex vivo study 
650 0 4 |a functional connectivity 
650 0 4 |a growth, development and aging 
650 0 4 |a locomotion 
650 0 4 |a metabolism 
650 0 4 |a molting 
650 0 4 |a molting 
650 0 4 |a Molting 
650 0 4 |a motoneuron 
650 0 4 |a motoneuron 
650 0 4 |a Motor Neurons 
650 0 4 |a neuropeptide 
650 0 4 |a Neuropeptides 
650 0 4 |a nonhuman 
650 0 4 |a oscillation 
650 0 4 |a peptidergic nervous system 
650 0 4 |a physiology 
650 0 4 |a principal component analysis 
650 0 4 |a pupa 
650 0 4 |a signal noise ratio 
650 0 4 |a signal transduction 
650 0 4 |a signal transduction 
650 0 4 |a Signal Transduction 
650 0 4 |a simulation 
650 0 4 |a time series analysis 
700 1 |a Ewer, J.  |e author 
700 1 |a Mena, W.  |e author 
700 1 |a Orio, P.  |e author 
700 1 |a Piñeiro, M.  |e author 
773 |t PLoS Computational Biology