Evidence map›Paper›PMID 40957570›Full record

ArticleProceedings. Biological sciences2025

Adaptive epigenetic divergence can facilitate ecological speciation.

Nicholas P Planidin, Clarissa F de Carvalho, Jeffrey Feder, Zachariah Gompert, John D House, Patrik Nosil

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Nicholas P PlanidinCentre d'Écologie Fonctionnelle et Évolutive, Montpellier, France.ORCID 0000-0003-4182-0841
Clarissa F de CarvalhoDepartamento de Ecologia e Biologia Evolutiva, UNIFESP, Sao Paulo, Brazil.ORCID 0000-0002-5780-5454
Jeffrey FederUniversity of Notre Dame, Notre Dame, IN, USA.ORCID 0000-0002-8797-980X
Zachariah GompertUtah State University, Logan, UT, USA.ORCID 0000-0003-2248-2488
John D House
Patrik NosilCentre d'Écologie Fonctionnelle et Évolutive, Montpellier, France.ORCID 0000-0002-8271-9005

Funding

European Research CouncilFrench Laboratory of Excellence project "TULIP"
6 · The paper itself

Abstract

Migration between populations homogenizes genetic divergence and can thus prevent speciation. However, environmentally induced epigenetic marks can remain divergent between populations despite migration. Thus, epigenetic variation might facilitate speciation under conditions where it is challenging for genetic barriers to gene flow to establish. Here, we develop a model to test this hypothesis by quantifying reproductive isolation (RI) at a neutral genetic locus linked with an epigenetic locus under divergent selection. This also allows us to test how RI is influenced by (i) the degree of induction of epigenetic state by the environment and (ii) the transmission of epigenetic state between generations. With a high migration rate, we find that an epigenetic locus, which is highly inducible, produces stronger RI than an equivalent genetic locus. Furthermore, at lower migration rates, the strength of RI produced by an epigenetic locus increases when epigenetic state is more transmissible between generations. Our findings suggest three regimes of speciation by divergent selection at an epigenetic locus, whereby highly inducible epigenetic marks could give way to more transmissible epigenetic marks and ultimately genetic differentiation, as ecological speciation progresses.

Indexed as

Epigenesis, GeneticGenetic SpeciationReproductive IsolationAnimalsGene FlowModels, GeneticSelection, Geneticepigeneticsgene flowlocal adaptationmigrationreproductive isolationspeciation

Identifiers

PMID40957570
PMCPMC12440623

What OpenQuestion holds

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Registered trials

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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.