Evidence map›Paper›PMID 30521003›Full record

ArticleMolecular biology and evolution2019

Evolution of DNA Methylation in Papio Baboons.

Tauras P Vilgalys, Jeffrey Rogers, Clifford J Jolly, Sayan Mukherjee, Jenny Tung

Open access · bronzeAbstract read
In one paragraph

Article in Molecular biology and evolution, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

14 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. The regulation mechanisms and the Lamarckian inheritance property of DNA methylation in animals.Mammalian genome : official journal of the International Mammalian Genome Society · 2021
    Review
  10. Article
  11. Article
  12. Prime time for primate functional genomics.Current opinion in genetics & development · 2020
    Review
  13. Review
  14. 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 at 4 institutions in 2 countries.

Tauras P VilgalysDepartment of Evolutionary Anthropology, Duke University, Durham, NC.
Jeffrey RogersHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX.
Clifford J JollyDepartment of Anthropology, New York University, New York, NY.
Sayan MukherjeeDepartment of Statistical Science, Duke University, Durham, NC.
Jenny TungDepartment of Evolutionary Anthropology, Duke University, Durham, NC.
Duke University · USBaylor Genetics · USInstitute of Primate Research · KENew York Consortium in Evolutionary Primatology · US

Funding

Yerkes National Primate Research Center Role of type-I IFN in regulating COVID-19 induced inflammation and pathogenesisP51OD011132 · OD · EMORY UNIVERSITY · PI Joon Sup Lee · 2012 to 2026
$167.0M
Duke CTSA (Composite)UL1TR001117 · NCATS · DUKE UNIVERSITY · PI BOULWARE, LEIGH E, LI, JENNIFER S · 2013 to 2017
$41.3M
NCATS NIH HHS UL1 TR001117NIH HHS P51 OD011132
6 · The paper itself

Abstract

Changes in gene regulation have long been thought to play an important role in primate evolution. However, although a number of studies have compared genome-wide gene expression patterns across primate species, fewer have investigated the gene regulatory mechanisms that underlie such patterns, or the relative contribution of drift versus selection. Here, we profiled genome-scale DNA methylation levels in blood samples from five of the six extant species of the baboon genus Papio (4-14 individuals per species). This radiation presents the opportunity to investigate DNA methylation divergence at both shallow and deeper timescales (0.380-1.4 My). In contrast to studies in human populations, but similar to studies in great apes, DNA methylation profiles clearly mirror genetic and geographic structure. Divergence in DNA methylation proceeds fastest in unannotated regions of the genome and slowest in regions of the genome that are likely more constrained at the sequence level (e.g., gene exons). Both heuristic approaches and Ornstein-Uhlenbeck models suggest that DNA methylation levels at a small set of sites have been affected by positive selection, and that this class is enriched in functionally relevant contexts, including promoters, enhancers, and CpG islands. Our results thus indicate that the rate and distribution of DNA methylation changes across the genome largely mirror genetic structure. However, at some CpG sites, DNA methylation levels themselves may have been a target of positive selection, pointing to loci that could be important in connecting sequence variation to fitness-related traits.

Indexed as

DNA MethylationEvolution, MolecularAnimalsPapioPhylogeographybaboonsDNA methylationgene regulationgenetic divergencemolecular evolutionneutral evolution

Identifiers

PMID30521003
PMCPMC6389319
OpenAlexW2951925802

What OpenQuestion holds

Textmetadata
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.