Evidence map›Paper›PMID 34175932›Full record

ArticleMolecular biology and evolution2021

An Analysis of Methylome Evolution in Primates.

Arne Sahm, Philipp Koch, Steve Horvath, Steve Hoffmann

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. 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
  2. Article
  3. Article
  4. Review
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

4 authors.

Arne SahmComputational Biology Group, Leibniz Institute on Aging-Fritz Lipmann Institute, Jena, Germany.ORCID 0000-0002-7330-1790
Philipp KochCore Facility Life Science Computing, Leibniz Institute on Aging-Fritz Lipmann Institute, Jena, Germany.
Steve HorvathDepartment of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Steve HoffmannComputational Biology Group, Leibniz Institute on Aging-Fritz Lipmann Institute, Jena, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although the investigation of the epigenome becomes increasingly important, still little is known about the long-term evolution of epigenetic marks and systematic investigation strategies are still lacking. Here, we systematically demonstrate the transfer of classic phylogenetic methods such as maximum likelihood based on substitution models, parsimony, and distance-based to interval-scaled epigenetic data. Using a great apes blood data set, we demonstrate that DNA methylation is evolutionarily conserved at the level of individual CpGs in promotors, enhancers, and genic regions. Our analysis also reveals that this epigenomic conservation is significantly correlated with its transcription factor binding density. Binding sites for transcription factors involved in neuron differentiation and components of AP-1 evolve at a significantly higher rate at methylation than at the nucleotide level. Moreover, our models suggest an accelerated epigenomic evolution at binding sites of BRCA1, chromobox homolog protein 2, and factors of the polycomb repressor 2 complex in humans. For most genomic regions, the methylation-based reconstruction of phylogenetic trees is at par with sequence-based reconstruction. Most strikingly, phylogenetic reconstruction using methylation rates in enhancer regions was ineffective independently of the chosen model. We identify a set of phylogenetically uninformative CpG sites enriched in enhancers controlling immune-related genes.

Indexed as

EpigenomeEpigenomicsAnimalsCpG IslandsDNA MethylationEpigenesis, GeneticLikelihood FunctionsPhylogenyPrimatesepigenomicsgreat apeshumanmethylationphylogeneticspolycomb repressor 2

Identifiers

PMID34175932
PMCPMC8557466

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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.