Evidence map›Paper›PMID 31144573›Full record

ArticleEpigenetics2019

Contrasting DNA methylation responses of inbred fish lines to different rearing environments.

Waldir M Berbel-Filho, Deiene Rodríguez-Barreto, Nikita Berry, Carlos Garcia De Leaniz, Sofia Consuegra

Abstract readComparative Study
In one paragraph

Article in Epigenetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Review
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  4. A Recursive Model Approach to Include Epigenetic Effects in Genetic Evaluations Using Simulated DNA Methylation Effects.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2025
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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

5 authors.

Waldir M Berbel-Filhoa Department of Biosciences, Swansea University , Swansea , UK.ORCID 0000-0001-6991-4685
Deiene Rodríguez-Barretoa Department of Biosciences, Swansea University , Swansea , UK.
Nikita Berrya Department of Biosciences, Swansea University , Swansea , UK.
Carlos Garcia De Leaniza Department of Biosciences, Swansea University , Swansea , UK.
Sofia Consuegraa Department of Biosciences, Swansea University , Swansea , UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epigenetic mechanisms generate plastic phenotypes that can become locally adapted across environments. Disentangling genomic from epigenomic variation is challenging in sexual species due to genetic variation among individuals, but it is easier in self-fertilizing species. We analysed DNA methylation patterns of two highly inbred strains of a naturally self-fertilizing fish reared in two contrasting environments to investigate the obligatory (genotype-dependent), facilitated (partially depend on the genotype) or pure (genotype-independent) nature of the epigenetic variation. We found higher methylation differentiation between genotypes than between environments. Most methylation differences between environments common to both strains followed a pattern where the two genotypes (inbred lines) responded to the same environmental context with contrasting DNA methylation levels (facilitated epialleles). Our findings suggest that, at least in part, DNA methylation could depend on the dynamic interaction between the genotype and the environment, which could explain the plasticity of epigenetically mediated phenotypes.

Indexed as

DNA MethylationAnimalsBrainEpigenesis, GeneticFishesGene Expression Regulation, PlantInbreedingPrincipal Component AnalysisEnvironmental enrichmentepigenetic variationgenotype-by-environment interactionmangrove killifishRRBS

Identifiers

PMID31144573
PMCPMC6691983

What OpenQuestion holds

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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.