Evidence map›Paper›PMID 35377433›Full record

ArticleG3 (Bethesda, Md.)2022

The ectodysplasin-A receptor is a candidate gene for lateral plate number variation in stickleback fish.

Telma G Laurentino, Nicolas Boileau, Fabrizia Ronco, Daniel Berner

Open access · goldAbstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2022. 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
1.5field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
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

4 authors at 1 institution in 2 countries.

Telma G LaurentinoDepartment of Environmental Sciences, Zoology, University of Basel, 4051 Basel, Switzerland.ORCID 0000-0001-7879-5251
Nicolas BoileauDepartment of Environmental Sciences, Zoology, University of Basel, 4051 Basel, Switzerland.ORCID 0000-0002-9235-4839
Fabrizia RoncoDepartment of Environmental Sciences, Zoology, University of Basel, 4051 Basel, Switzerland.ORCID 0000-0003-1583-8108
Daniel BernerDepartment of Environmental Sciences, Zoology, University of Basel, 4051 Basel, Switzerland.ORCID 0000-0003-3480-9046
University of Basel · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Variation in lateral plating in stickleback fish represents a classical example of rapid and parallel adaptation in morphology. The underlying genetic architecture involves polymorphism at the ectodysplasin-A gene (EDA). However, lateral plate number is influenced by additional loci that remain poorly characterized. Here, we search for such loci by performing genome-wide differentiation mapping based on pooled whole-genome sequence data from a European stickleback population variable in the extent of lateral plating, while tightly controlling for the phenotypic effect of EDA. This suggests a new candidate locus, the EDA receptor gene (EDAR), for which additional support is obtained by individual-level targeted Sanger sequencing and by comparing allele frequencies among natural populations. Overall, our study illustrates the power of pooled whole-genome sequencing for searching phenotypically relevant loci and opens opportunities for exploring the population genetics and ecological significance of a new candidate locus for stickleback armor evolution.

Indexed as

SmegmamorphaAnimalsEctodysplasinsGene FrequencyGenetics, PopulationReceptors, EctodysplasinEctodysplasinsReceptors, EctodysplasinGasterosteus aculeatusgenetic architecturegenome scanlateral platespooled sequencingpopulation genomics

Identifiers

PMID35377433
PMCPMC9157104
OpenAlexW4226224621

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.