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Characterization of geometric variance in the epithelial nerve net of the ctenophore Pleurobrachia pileus.

Authors :
Courtney A
Liegey J
Burke N
Hassett AR
Lowery M
Pickering M
Source :
The Journal of comparative neurology [J Comp Neurol] 2022 Jun; Vol. 530 (9), pp. 1438-1458. Date of Electronic Publication: 2022 Jan 12.
Publication Year :
2022

Abstract

Neuroscience lacks a diverse repertoire of model organisms, resulting in an incomplete understanding of the general principles of neural function. Ctenophores display many neurobiological and experimental features which make them a promising candidate to fill this gap. They possess a nerve net distributed across their body surface in the epithelial layer. There is a long-held assumption that nerve nets are "simple" and lack distinct organizational principles. We want to challenge this assumption and determine how stereotyped the structure of this network is. We estimated body surface area in Pleurobrachia pileus using custom optical projection tomography and light sheet morphometry imaging systems. Using an antibody against tyrosinated α-tubulin, we visualized the nerve net in situ and quantified the geometric properties using an automated segmentation approach. We characterized organizational rules of the epithelial nerve net in animals of different sizes and at different regions of the body. We found that specific morphological features within the nerve net are largely unchanged during growth. These properties must be essential to the functionality of the nervous system and therefore are maintained during a change in body size. We have also established the principles of organization of the network and showed that some of the geometric properties are variable across different parts of the body. This suggests that there may be different functions occurring in regions with different structural characteristics. This is the most comprehensive structural description of a ctenophore nerve net to date and demonstrates the amenability of P. pileus for whole organism network analysis.<br /> (© 2021 Wiley Periodicals LLC.)

Details

Language :
English
ISSN :
1096-9861
Volume :
530
Issue :
9
Database :
MEDLINE
Journal :
The Journal of comparative neurology
Publication Type :
Academic Journal
Accession number :
34933399
Full Text :
https://doi.org/10.1002/cne.25290