Molecular characterization of cell types in the squid Loligo vulgaris.

Duruz, Jules; Sprecher, Marta; Kaldun, Jenifer C; Al-Soudy, Al-Sayed; Tschanz, Heidi E L; van Geest, Geert; Nicholson, Pamela; Bruggmann, Rémy; Sprecher, Simon G (2023). Molecular characterization of cell types in the squid Loligo vulgaris. eLife, 12 eLife Sciences Publications 10.7554/eLife.80670

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Cephalopods are set apart from other mollusks by their advanced behavioral abilities and by the complexity of their nervous systems. Because of the great evolutionary distance that separates vertebrates from cephalopods, it is evident that higher cognitive features have evolved separately in these clades despite the similarities that they share. Alongside their complex behavioral abilities, cephalopods have evolved specialized cells and tissues, such as the chromatophores for camouflage or suckers to grasp prey. Despite significant progress in genome and transcriptome sequencing, the molecular identities of cell types in cephalopods remain largely unknown. We here combine single-cell transcriptomics with in situ gene expression analysis to uncover cell type diversity in the European squid Loligo vulgaris. We describe cell types that are conserved with other phyla such as neurons, muscles, or connective tissues but also cephalopod-specific cells, such as chromatophores or sucker cells. Moreover, we investigate major components of the squid nervous system including progenitor and developing cells, differentiated cells of the brain and optic lobes as well as sensory systems of the head. Our study provides a molecular assessment for conserved and novel cell types in cephalopods and a framework for mapping the nervous system of L. vulgaris.

Item Type:

Journal Article (Original Article)

Division/Institute:

05 Veterinary Medicine > Department of Clinical Research and Veterinary Public Health (DCR-VPH) > Institute of Genetics
05 Veterinary Medicine > Department of Clinical Research and Veterinary Public Health (DCR-VPH)
08 Faculty of Science > Department of Biology > Bioinformatics and Computational Biology

UniBE Contributor:

Tschanz-Lischer, Heidi Erika Lisa, van Geest, Gerrit Adriaan, Bruggmann, Rémy

ISSN:

2050-084X

Publisher:

eLife Sciences Publications

Language:

English

Submitter:

Pubmed Import

Date Deposited:

10 Jan 2023 17:21

Last Modified:

03 Jul 2023 16:54

Publisher DOI:

10.7554/eLife.80670

PubMed ID:

36594460

Uncontrolled Keywords:

developmental biology neuroscience

BORIS DOI:

10.48350/176790

URI:

https://boris.unibe.ch/id/eprint/176790

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