Evidence map›Paper›PMID 32835652›Full record

ArticleDevelopmental biology2020

Migratory patterns and evolutionary plasticity of cranial neural crest cells in ray-finned fishes.

Jan Stundl, Anna Pospisilova, Tereza Matějková, Martin Psenicka, Marianne E Bronner, Robert Cerny

Open access · greenAbstract read
In one paragraph

Article in Developmental biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.9field-weighted citation impact, top 15% of its field
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

12 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
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  9. Ancient vertebrate dermal armor evolved from trunk neural crest.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  10. Review
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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 at 4 institutions in 2 countries.

Jan StundlDepartment of Zoology, Faculty of Science, Charles University in Prague, Prague, Czech Republic; Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA; South Bohemian Research Center of Aquaculture and Biodiversity of Hydrocenoses, Faculty of Fisheries and Protection of Waters, University of South Bohemia in Ceske Budejovice, Vodnany, Czech Republic. Electronic address: jstundl@caltech.edu.
Anna PospisilovaDepartment of Zoology, Faculty of Science, Charles University in Prague, Prague, Czech Republic.
Tereza MatějkováDepartment of Zoology, Faculty of Science, Charles University in Prague, Prague, Czech Republic.
Martin PsenickaSouth Bohemian Research Center of Aquaculture and Biodiversity of Hydrocenoses, Faculty of Fisheries and Protection of Waters, University of South Bohemia in Ceske Budejovice, Vodnany, Czech Republic.
Marianne E BronnerDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
Robert CernyDepartment of Zoology, Faculty of Science, Charles University in Prague, Prague, Czech Republic. Electronic address: robert.cerny@natur.cuni.cz.
Charles University · CZCalifornia Institute of Technology · USSewanee: The University of the South · USUniversity of South Bohemia in České Budějovice · CZ

Funding

Transcriptional Casualty in Embryonic Morphogenesis: from the Specifications GRNP01HD037105 · NICHD · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI DAVIDSON, ERIC H · 1999 to 2018
$27.1M
Center for in Toto Genomic Analysis of Vertebrate DevelopmentP50HG004071 · NHGRI · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI FRASER, SCOTT E · 2006 to 2011
$18.4M
Progressive acquisition of novel neural crest derivatives along the neural axis during vertebrate evolutionR35NS111564 · NINDS · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI Marianne Bronner · 2019 to 2026
$5.0M
Gene Regulatory Network Controlling Premigratory Cranial vs Trunk Neural CrestR01DE024157 · NIDCR · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI BRONNER, MARIANNE · 2014 to 2025
$4.0M
NHGRI NIH HHS P50 HG004071NICHD NIH HHS P01 HD037105NIDCR NIH HHS R01 DE024157NINDS NIH HHS R35 NS111564
6 · The paper itself

Abstract

The cranial neural crest (CNC) arises within the developing central nervous system, but then migrates away from the neural tube in three consecutive streams termed mandibular, hyoid and branchial, respectively, according to the order along the anteroposterior axis. While the process of neural crest emigration generally follows a conserved anterior to posterior sequence across vertebrates, we find that ray-finned fishes (bichir, sterlet, gar, and pike) exhibit several heterochronies in the timing and order of CNC emergence that influences their subsequent migratory patterns. First, emigration of the cranial neural crest in these fishes occurs prematurely compared to other vertebrates, already initiating during early neurulation and well before neural tube closure. Second, delamination of the hyoid stream occurs prior to the more anterior mandibular stream; this is associated with early morphogenesis of key hyoid structures like external gills (bichir), a large opercular flap (gar) or first forming cartilage (pike). In sterlet, the hyoid and branchial CNC cells form a single hyobranchial sheet, which later segregates in concert with second pharyngeal pouch morphogenesis. Taken together, the results show that despite generally conserved migratory patterns, heterochronic alterations in the timing of emigration and pattern of migration of CNC cells accompanies morphological diversity of ray-finned fishes.

Indexed as

Biological EvolutionAnimalsCell MovementEmbryo, NonmammalianFishesNeural CrestCraniofacialEvolutionNeural crestNeurulationVertebrates

Identifiers

PMID32835652
PMCPMC7572781
OpenAlexW3080677077

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.