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Early Metazoan Cell Type Diversity and the Evolution of Multicellular Gene Regulation

Overview
Journal Nat Ecol Evol
Publisher Springer Nature
Specialty Biology
Date 2018 Jun 27
PMID 29942020
Citations 110
Authors
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Abstract

A hallmark of metazoan evolution is the emergence of genomic mechanisms that implement cell-type-specific functions. However, the evolution of metazoan cell types and their underlying gene regulatory programmes remains largely uncharacterized. Here, we use whole-organism single-cell RNA sequencing to map cell-type-specific transcription in Porifera (sponges), Ctenophora (comb jellies) and Placozoa species. We describe the repertoires of cell types in these non-bilaterian animals, uncovering diverse instances of previously unknown molecular signatures, such as multiple types of peptidergic cells in Placozoa. Analysis of the regulatory programmes of these cell types reveals variable levels of complexity. In placozoans and poriferans, sequence motifs in the promoters are predictive of cell-type-specific programmes. By contrast, the generation of a higher diversity of cell types in ctenophores is associated with lower specificity of promoter sequences and the existence of distal regulatory elements. Our findings demonstrate that metazoan cell types can be defined by networks of transcription factors and proximal promoters, and indicate that further genome regulatory complexity may be required for more diverse cell type repertoires.

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References
1.
Stamatakis A . RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models. Bioinformatics. 2006; 22(21):2688-90. DOI: 10.1093/bioinformatics/btl446. View

2.
Smith C, Varoqueaux F, Kittelmann M, Azzam R, Cooper B, Winters C . Novel cell types, neurosecretory cells, and body plan of the early-diverging metazoan Trichoplax adhaerens. Curr Biol. 2014; 24(14):1565-1572. PMC: 4128346. DOI: 10.1016/j.cub.2014.05.046. View

3.
Piasecki B, Burghoorn J, Swoboda P . Regulatory Factor X (RFX)-mediated transcriptional rewiring of ciliary genes in animals. Proc Natl Acad Sci U S A. 2010; 107(29):12969-74. PMC: 2919930. DOI: 10.1073/pnas.0914241107. View

4.
Punta M, Coggill P, Eberhardt R, Mistry J, Tate J, Boursnell C . The Pfam protein families database. Nucleic Acids Res. 2011; 40(Database issue):D290-301. PMC: 3245129. DOI: 10.1093/nar/gkr1065. View

5.
Dunn C, Hejnol A, Matus D, Pang K, Browne W, Smith S . Broad phylogenomic sampling improves resolution of the animal tree of life. Nature. 2008; 452(7188):745-9. DOI: 10.1038/nature06614. View