bioRxivDevelopmental BiologyPreprint
Graded FGF activity patterns distinct cell types within the apical sensory organ of the sea anemone Nematostella vectensis
Keith Z. SabiniD, Shiyuan CheniD, Eric M. HilliD, Kyle J. WeaveriD, Jacob Yonker, MaryEllen Kirkman, Bret Redwine, Anna M. L. KlompeniD, Xia ZhaoiD, Fengli Guo, Cathy McKinney, Jessica L. DeweyiD, Matthew C. GibsoniD
Abstract
Bilaterian animals have evolved complex sensory organs comprised of distinct cell types that function coordinately to sense the environment. Each sensory unit has a defined architecture built from component cell types, including sensory cells, non-sensory support cells, and dedicated sensory neurons. Whether this characteristic cellular composition is present in the sensory organs of non-bilaterian animals is unknown. Here, we interrogate the cell type composition and gene regulatory networks controlling development of the larval apical sensory organ in the sea anemone Nematostella vectensis. Using single cell RNA sequencing and imaging approaches, we reveal two unique cell types in the Nematostella apical sensory organ, GABAergic sensory cells and a putative non-sensory support cell population. Further, we identify the paired-like (PRD) homeodomain gene prd146 as a specific sensory cell marker and show that Prd146+ sensory cells become post-mitotic after gastrulation. Genetic loss of function approaches show that Prd146 is essential for apical sensory organ development. Using a candidate gene knockdown approach, we place prd146 downstream of FGF signaling in the apical sensory organ gene regulatory network. Further, we demonstrate that an aboral FGF activity gradient coordinately regulates the specification of both sensory and support cells. Collectively, these experiments define the genetic basis for apical sensory organ development in a non-bilaterian animal and reveal an unanticipated degree of complexity in a prototypic sensory structure.
- organism: non-human primate
- assay: scRNA-seq
- research focus: cell type annotation
- approach: statistical model
- Citations
- 1
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