Evidence map›Paper›PMID 27998290›Full record

ReviewGenome biology2016

Methylome evolution in plants.

Amaryllis Vidalis, Daniel Živković, René Wardenaar, David Roquis, Aurélien Tellier, Frank Johannes

Erratum issuedAbstract readReview
In one paragraph

Review in Genome biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing 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

61 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Nanorate sequencing reveals theProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Article
  6. DNA Methylation in Rice: Mechanisms, Regulatory Roles, and Beyond.International journal of molecular sciences · 2025
    Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. An evolutionary epigenetic clock in plants.bioRxiv : the preprint server for biology · 2023
    Article
  17. Article
  18. Review
  19. Article
  20. Review

1 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Amaryllis VidalisPopulation Epigenetics and Epigenomics, Technical University of Munich, Liesel-Beckman-Str. 2, 85354, Freising, Germany.
Daniel ŽivkovićPopulation Genetics, Technical University of Munich, Liesel-Beckman-Str. 2, 85354, Freising, Germany.
René WardenaarGroningen Bioinformatics Centre, University of Groningen, 9747 AG, Groningen, The Netherlands.
David RoquisPopulation Epigenetics and Epigenomics, Technical University of Munich, Liesel-Beckman-Str. 2, 85354, Freising, Germany.
Aurélien TellierPopulation Genetics, Technical University of Munich, Liesel-Beckman-Str. 2, 85354, Freising, Germany. tellier@wzw.tum.de.
Frank JohannesPopulation Epigenetics and Epigenomics, Technical University of Munich, Liesel-Beckman-Str. 2, 85354, Freising, Germany. frank@johanneslab.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite major progress in dissecting the molecular pathways that control DNA methylation patterns in plants, little is known about the mechanisms that shape plant methylomes over evolutionary time. Drawing on recent intra- and interspecific epigenomic studies, we show that methylome evolution over long timescales is largely a byproduct of genomic changes. By contrast, methylome evolution over short timescales appears to be driven mainly by spontaneous epimutational events. We argue that novel methods based on analyses of the methylation site frequency spectrum (mSFS) of natural populations can provide deeper insights into the evolutionary forces that act at each timescale.

Indexed as

Evolution, MolecularGenetic VariationGenome, PlantArabidopsisDNA MethylationGene Expression Regulation, Plant

Identifiers

PMID27998290
PMCPMC5175322

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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.