Evidence map›Paper›PMID 30655579›Full record

ArticleScientific reports2019

Universality of the DNA methylation codes in Eucaryotes.

Benoît Aliaga, Ingo Bulla, Gabriel Mouahid, David Duval, Christoph Grunau

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. DNA Methylation Machinery in Gastropod Mollusks.Life (Basel, Switzerland) · 2024
    Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. InvestigatingInternational journal of molecular sciences · 2023
    Review
  11. Article
  12. Article
  13. Evolution of DNA Methylation Across Ecdysozoa.Journal of molecular evolution · 2022
    Article
  14. The Long and Short of Next Generation Sequencing forFrontiers in cellular and infection microbiology · 2022
    Review
  15. Article
  16. Article
  17. Article
  18. Inference of DNA methylation patterns in molluscs.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Article
  19. Review
  20. 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

5 authors.

Benoît AliagaUniversity Perpignan Via Domitia, IHPE UMR 5244, CNRS, IFREMER, University Montpellier, F-66860, Perpignan, France.ORCID 0000-0002-9724-7004
Ingo BullaUniversity Perpignan Via Domitia, IHPE UMR 5244, CNRS, IFREMER, University Montpellier, F-66860, Perpignan, France.
Gabriel MouahidUniversity Perpignan Via Domitia, IHPE UMR 5244, CNRS, IFREMER, University Montpellier, F-66860, Perpignan, France.
David DuvalUniversity Perpignan Via Domitia, IHPE UMR 5244, CNRS, IFREMER, University Montpellier, F-66860, Perpignan, France.
Christoph GrunauUniversity Perpignan Via Domitia, IHPE UMR 5244, CNRS, IFREMER, University Montpellier, F-66860, Perpignan, France. christoph.grunau@univ-perp.fr.ORCID 0000-0002-2161-412X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetics and epigenetics are tightly linked heritable information classes. Question arises if epigenetics provides just a set of environment dependent instructions, or whether it is integral part of an inheritance system. We argued that in the latter case the epigenetic code should share the universality quality of the genetic code. We focused on DNA methylation. Since availability of DNA methylation data is biased towards model organisms we developed a method that uses kernel density estimations of CpG observed/expected ratios to infer DNA methylation types in any genome. We show here that our method allows for robust prediction of mosaic and full gene body methylation with a PPV of 1 and 0.87, respectively. We used this prediction to complement experimental data, and applied hierarchical clustering to identify methylation types in ~150 eucaryotic species covering different body plans, reproduction types and living conditions. Our analysis indicates that there are only four gene body methylation types. These types do not follow phylogeny (i.e. phylogenetically distant clades can have identical methylation types) but they are consistent within clades. We conclude that the gene body DNA methylation codes have universality similar to the universality of the genetic code and should consequently be considered as part of the inheritance system.

Indexed as

CpG IslandsDatabases, GeneticDNA MethylationEpigenesis, GeneticEukaryotaPhylogeny

Identifiers

PMID30655579
PMCPMC6336885

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.