Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/29885
Title: Regional complexity in enteric neuron wiring reflects diversity of motility patterns in the mouse large intestine
Authors: Li, Zhiling
Hao, Marlene M.
Van den Haute, Chris
Baekelandt, Veerle
BOESMANS, Werend 
Vanden Berghe, Pieter
Issue Date: 2019
Publisher: eLIFE SCIENCES PUBL LTD
Source: eLife , 8 (Art N° e42914)
Abstract: The enteric nervous system controls a variety of gastrointestinal functions including intestinal motility. The minimal neuronal circuit necessary to direct peristalsis is well-characterized but several intestinal regions display also other motility patterns for which the underlying circuits and connectivity schemes that coordinate the transition between those patterns are poorly understood. We investigated whether in regions with a richer palette of motility patterns, the underlying nerve circuits reflect this complexity. Using Ca2+ imaging, we determined the location and response fingerprint of large populations of enteric neurons upon focal network stimulation. Complemented by neuronal tracing and volumetric reconstructions of synaptic contacts, this shows that the multifunctional proximal colon requires specific additional circuit components as compared to the distal colon, where peristalsis is the predominant motility pattern. Our study reveals that motility control is hard-wired in the enteric neural networks and that circuit complexity matches the motor pattern portfolio of specific intestinal regions.
Keywords: calcium imaging;enteric nervous system;intestine;motility;mouse;neural tracing;neurocircuitry;neuroscience;Animals;Intestine, Large;Mice;Nerve Net;Neurons;Optical Imaging;Gastrointestinal Motility
Document URI: http://hdl.handle.net/1942/29885
DOI: 10.7554/eLife.42914
ISI #: 000459813900001
Rights: Copyright Li et al. This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.
Category: A1
Type: Journal Contribution
Validations: ecoom 2020
Appears in Collections:Research publications

Files in This Item:
File Description SizeFormat 
elife-42914-v2.pdfPublished version7.78 MBAdobe PDFView/Open
Show full item record

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.