Evidence map›Paper›PMID 39929800›Full record

ArticleNature communications2025

Structural, molecular and developmental evidence for cell-type diversity in cnidarian mechanosensory neurons.

Julia Baranyk, Kristen Malir, Miguel A P Silva, Sakura Rieck, Gracie Scheve, Nagayasu Nakanishi

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Julia BaranykDepartment of Biological Sciences, University of Arkansas, Fayetteville, AR, USA.ORCID http://orcid.org/0009-0005-1680-9909
Kristen MalirDepartment of Biological Sciences, University of Arkansas, Fayetteville, AR, USA.
Miguel A P SilvaDepartment of Biological Sciences, University of Arkansas, Fayetteville, AR, USA.ORCID http://orcid.org/0009-0009-4444-140X
Sakura RieckDepartment of Biological Sciences, University of Arkansas, Fayetteville, AR, USA.
Gracie ScheveBiology Department, Bowdoin College, Brunswick, ME, USA.ORCID http://orcid.org/0009-0003-6652-5432
Nagayasu NakanishiDepartment of Biological Sciences, University of Arkansas, Fayetteville, AR, USA. nnakanis@uark.edu.ORCID http://orcid.org/0000-0001-7516-5078

Funding

National Science Foundation (NSF) 1931154National Science Foundation (NSF) 2042529
6 · The paper itself

Abstract

Deploying a conserved mechanosensory neuron known as the concentric hair cell, cnidarians have evolved diverse mechanoreceptors from hydroid filiform tentacles to jellyfish statocysts. However, it is unknown whether cnidarian mechanoreceptor evolution has relied solely on repurposing a single ancestral mechanosensory neuron type. Here we report evidence for cell-type diversity of mechanosensory neurons in sea-anemone cnidarian Nematostella vectensis. Uncovered in the ectoderm of feeding tentacles are conventional type I hair cells and previously unrecognized type II hair cells differing in the structure of apical sensory apparatus and synapses. Moreover, we identify TRP channel-encoding gene polycystin-1 as a type-II-hair-cell-specific essential mediator of gentle touch response. Ontogenically, type I and type II hair cells derive from distinct postmitotic precursors that begin forming at different phases of larval development. Taken together, our findings suggest that anatomically, molecularly, and developmentally distinct mechanosensory neurons diversified within Cnidaria, or prior to the divergence of Cnidaria and Bilateria.

Indexed as

MechanoreceptorsSea AnemonesAnimalsLarvaMechanotransduction, CellularPhylogeny

Identifiers

PMID39929800
PMCPMC11811123

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.