Duruz, Jules; Kaltenrieder, Cyrielle; Ladruner, Peter; Bruggmann, Rémy; Martinez, Pedro; Sprecher, Simon (2021). Acoel Single-Cell Transcriptomics: Cell Type Analysis of a Deep Branching Bilaterian. Molecular biology and evolution, 38(5), pp. 1888-1904. Oxford University Press 10.1093/molbev/msaa333
|
Text
msaa333.pdf - Published Version Available under License Creative Commons: Attribution-Noncommercial (CC-BY-NC). Download (4MB) | Preview |
Bilaterian animals display a wide variety of cell types, organized into defined anatomical structures and organ systems, which are mostly absent in prebilaterian animals. Xenacoelomorpha are an early-branching bilaterian phylum displaying an apparently relatively simple anatomical organization that have greatly diverged from other bilaterian clades. In this study, we use whole-body single-cell transcriptomics on the acoel Isodiametra pulchra to identify and characterize different cell types. Our analysis identifies the existence of ten major cell type categories in acoels all contributing to main biological functions of the organism: metabolism, locomotion and movements, behavior, defense, and development. Interestingly, although most cell clusters express core fate markers shared with other animal clades, we also describe a surprisingly large number of clade-specific marker genes, suggesting the emergence of clade-specific common molecular machineries functioning in distinct cell types. Together, these results provide novel insight into the evolution of bilaterian cell types and open the door to a better understanding of the origins of the bilaterian body plan and their constitutive cell types.
Item Type: |
Journal Article (Original Article) |
|---|---|
Division/Institute: |
08 Faculty of Science > Department of Biology > Institute of Cell Biology 08 Faculty of Science > Department of Biology > Bioinformatics and Computational Biology > Bioinformatics 08 Faculty of Science > Department of Biology > Bioinformatics and Computational Biology > Computational Biology 08 Faculty of Science > Department of Biology > Bioinformatics and Computational Biology |
UniBE Contributor: |
Bruggmann, Rémy |
Subjects: |
500 Science > 570 Life sciences; biology |
ISSN: |
1537-1719 |
Publisher: |
Oxford University Press |
Language: |
English |
Submitter: |
Jolanda Paganoni Zurbrügg |
Date Deposited: |
11 May 2023 13:59 |
Last Modified: |
11 May 2023 14:07 |
Publisher DOI: |
10.1093/molbev/msaa333 |
PubMed ID: |
33355655 |
BORIS DOI: |
10.48350/182462 |
URI: |
https://boris.unibe.ch/id/eprint/182462 |
Actions (login required)
 |
Edit item |