Desmosomal connectomics of all somatic muscles in an annelid larva
Title: | Desmosomal connectomics of all somatic muscles in an annelid larva |
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Authors: | Sanja Jasek, Csaba Verasztó, Emelie Brodrick, Réza Shahidi, Tom Kazimiers, Alexandra Kerbl, Gáspár Jékely |
Source: | eLife, Vol 11 (2022) |
Publisher Information: | eLife Sciences Publications Ltd, 2022. |
Publication Year: | 2022 |
Collection: | LCC:Medicine LCC:Science LCC:Biology (General) |
Subject Terms: | desmosome, muscle, connectomics, biological networks, locomotion, annelid, Medicine, Science, Biology (General), QH301-705.5 |
More Details: | Cells form networks in animal tissues through synaptic, chemical, and adhesive links. Invertebrate muscle cells often connect to other cells through desmosomes, adhesive junctions anchored by intermediate filaments. To study desmosomal networks, we skeletonised 853 muscle cells and their desmosomal partners in volume electron microscopy data covering an entire larva of the annelid Platynereis. Muscle cells adhere to each other, to epithelial, glial, ciliated, and bristle-producing cells and to the basal lamina, forming a desmosomal connectome of over 2000 cells. The aciculae – chitin rods that form an endoskeleton in the segmental appendages – are highly connected hubs in this network. This agrees with the many degrees of freedom of their movement, as revealed by video microscopy. Mapping motoneuron synapses to the desmosomal connectome allowed us to infer the extent of tissue influenced by motoneurons. Our work shows how cellular-level maps of synaptic and adherent force networks can elucidate body mechanics. |
Document Type: | article |
File Description: | electronic resource |
Language: | English |
ISSN: | 2050-084X |
Relation: | https://elifesciences.org/articles/71231; https://doaj.org/toc/2050-084X |
DOI: | 10.7554/eLife.71231 |
Access URL: | https://doaj.org/article/449b675b509d417cbf1944992b8881aa |
Accession Number: | edsdoj.449b675b509d417cbf1944992b8881aa |
Database: | Directory of Open Access Journals |
ISSN: | 2050084X |
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DOI: | 10.7554/eLife.71231 |
Published in: | eLife |
Language: | English |