Published January 15, 2025 | Version v1
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Neuronal segmentation in cephalopod arms

  • 1. University of Chicago

Description

Prehensile arms are among the most remarkable features of the octopus, but little is known about the neural circuitry controlling arm movements. Here, we report on the cellular and molecular organization of the arm nervous system, focusing on its massive axial nerve cords (ANCs). We found that the ANC is segmented. In transverse cross sections, the ANC cell body layer wraps around the neuropil with no apparent segregation of sensory and motor neurons. In longitudinal sections, however, ANC neurons form segments, setting up a modular organization to the adjoining neuropil. ANC nerves exit in the septa between segments, and for each sucker, form a spatial topographic map ("suckerotopy"). A strong link between ANC segmentation and flexible sucker-laden arms is confirmed by comparative study of squid arms and tentacles. These ANC modules offer a template for modeling the motor control of soft tissues and provide a compelling example of nervous system segmentation in molluscs.

Data availability

Raw data for nerve fiber traces and measurements are available at https://github.com/olsoncs/Neuronal-Segmentation-Cephalopod-Arms (https://doi.org/10.5281/zenodo.14064124). Exemplar image stacks are available at https://doi.org/10.5281/zenodo.14064132. Source data are provided with this paper.

Custom code used to analyze proximal-distal series and nerve fiber patterns is available at https://github.com/olsoncs/Neuronal-Segmentation-Cephalopod-Arms (https://doi.org/10.5281/zenodo.14064124).

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Additional details

Identifiers

DOI
10.1038/s41467-024-55475-5
Other
oai:uchicago.tind.io:14408

Funding

National Institutes of Health
Developmental Biology Training Program
National Science Foundation
GRFP
National Institutes of Health
UF1NS115817

UChicago Information

Division(s)
Biological Sciences Division
Department(s)
Computational Neuroscience, Development, Regeneration, and Stem Cell Biology, Neurobiology