Evidence map›Paper›PMID 33023650›Full record

ArticleGenome biology2020

AlphaBeta: computational inference of epimutation rates and spectra from high-throughput DNA methylation data in plants.

Yadollah Shahryary, Aikaterini Symeonidi, Rashmi R Hazarika, Johanna Denkena, Talha Mubeen, Brigitte Hofmeister, Thomas van Gurp, Maria Colomé-Tatché, Koen J F Verhoeven, Gerald Tuskan and 2 more

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Genome biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
5.8field-weighted citation impact, top 4% 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

19 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Towards molecular evolutionary epigenomics with an expanded nucleotide code involving methylated bases.DNA research : an international journal for rapid publication of reports on genes and genomes · 2025
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Transgenerational increases in DNA methylation in Arabidopsis plants defective in active DNA demethylation.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  10. Article
  11. An evolutionary epigenetic clock in plants.bioRxiv : the preprint server for biology · 2023
    Article
  12. Article
  13. Exploitation of epigenetic variation of crop wild relatives for crop improvement and agrobiodiversity preservation.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. 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

12 authors at 7 institutions in 4 countries.

Yadollah ShahryaryTechnical University of Munich, Department of Plant Sciences, Liesel-Beckmann-Str. 2, Freising, 85354, Germany.
Aikaterini SymeonidiTechnical University of Munich, Department of Plant Sciences, Liesel-Beckmann-Str. 2, Freising, 85354, Germany.
Rashmi R HazarikaTechnical University of Munich, Department of Plant Sciences, Liesel-Beckmann-Str. 2, Freising, 85354, Germany.
Johanna DenkenaInstitute of Computational Biology, Helmholtz Zentrum München, Ingolstädter Landstr. 1, Neuherberg, 85764, Germany.
Talha MubeenTechnical University of Munich, Department of Plant Sciences, Liesel-Beckmann-Str. 2, Freising, 85354, Germany.
Brigitte HofmeisterInstitute of Bioinformatics, 120 East Green Street, Athens, 30602, USA.
Thomas van GurpNetherlands Institute of Ecology (NIOO-KNAW), Department of Terrestrial Ecology, Wageningen, Wageningen, The Netherlands.
Maria Colomé-TatchéInstitute of Computational Biology, Helmholtz Zentrum München, Ingolstädter Landstr. 1, Neuherberg, 85764, Germany.
Koen J F VerhoevenNetherlands Institute of Ecology (NIOO-KNAW), Department of Terrestrial Ecology, Wageningen, Wageningen, The Netherlands.
Gerald TuskanThe Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, USA.
Robert J SchmitzTechnical University of Munich, Institute for Advanced Study, Lichtenbergstr. 2a, Garching, 85748, Germany. schmitz@uga.edu.
Frank JohannesTechnical University of Munich, Department of Plant Sciences, Liesel-Beckmann-Str. 2, Freising, 85354, Germany. frank@johanneslab.org.
Institute for Advanced Study · DENetherlands Institute of Ecology · NLTechnical University of Munich · DEHelmholtz Zentrum München · DEInstitute of Bioinformatics · INOak Ridge National Laboratory · USUniversity of Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stochastic changes in DNA methylation (i.e., spontaneous epimutations) contribute to methylome diversity in plants. Here, we describe AlphaBeta, a computational method for estimating the precise rate of such stochastic events using pedigree-based DNA methylation data as input. We demonstrate how AlphaBeta can be employed to study transgenerationally heritable epimutations in clonal or sexually derived mutation accumulation lines, as well as somatic epimutations in long-lived perennials. Application of our method to published and new data reveals that spontaneous epimutations accumulate neutrally at the genome-wide scale, originate mainly during somatic development and that they can be used as a molecular clock for age-dating trees.

Indexed as

DNA MethylationEpigenomeGenome, PlantSoftwareArabidopsisGenomicsPopulusTaraxacumBioinformatics software toolDNA methylationEpigenetic clockEpigeneticsEpimutationEpimutation rateEvolutionMolecular clockPlantsR/Bioconductor packageTrees

Identifiers

PMID33023650
PMCPMC7539454
OpenAlexW3091860760

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.