Evidence map›Paper›PMID 24722038›Full record

ArticlePLoS genetics2014

Methylome diversification through changes in DNA methyltransferase sequence specificity.

Yoshikazu Furuta, Hiroe Namba-Fukuyo, Tomoko F Shibata, Tomoaki Nishiyama, Shuji Shigenobu, Yutaka Suzuki, Sumio Sugano, Mitsuyasu Hasebe, Ichizo Kobayashi

Abstract read
In one paragraph

Article in PLoS genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.

0numbers the graph read from it
0cells of the map it votes in
68citing 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

68 citing papers in PubMed.

  1. Article
  2. Article
  3. 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
  4. Article
  5. Article
  6. ThemBio · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Emerging methylation-based approaches in microbiome engineering.Biotechnology for biofuels and bioproducts · 2024
    Review
  13. Review
  14. TheJournal of bacteriology · 2024
    Article
  15. Article
  16. Article
  17. Base-excision restriction enzymes: expanding the world of epigenetic immune systems.DNA research : an international journal for rapid publication of reports on genes and genomes · 2023
    Article
  18. Article
  19. Characterization of theFrontiers in microbiology · 2023
    Article
  20. Article

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

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

9 authors.

Yoshikazu FurutaDepartment of Medical Genome Sciences, Graduate School of Frontier Sciences, University of Tokyo, Minato-ku, Tokyo, Japan; Institute of Medical Science, University of Tokyo, Minato-ku, Tokyo, Japan.
Hiroe Namba-FukuyoDepartment of Medical Genome Sciences, Graduate School of Frontier Sciences, University of Tokyo, Minato-ku, Tokyo, Japan.
Tomoko F ShibataNational Institute for Basic Biology, Okazaki, Japan.
Tomoaki NishiyamaAdvanced Science Research Center, Kanazawa University, Kanazawa, Japan.
Shuji ShigenobuNational Institute for Basic Biology, Okazaki, Japan; Department of Basic Biology, School of Life Science, Graduate University for Advanced Studies, Okazaki, Japan.
Yutaka SuzukiDepartment of Medical Genome Sciences, Graduate School of Frontier Sciences, University of Tokyo, Minato-ku, Tokyo, Japan.
Sumio SuganoDepartment of Medical Genome Sciences, Graduate School of Frontier Sciences, University of Tokyo, Minato-ku, Tokyo, Japan.
Mitsuyasu HasebeNational Institute for Basic Biology, Okazaki, Japan; Department of Basic Biology, School of Life Science, Graduate University for Advanced Studies, Okazaki, Japan.
Ichizo KobayashiDepartment of Medical Genome Sciences, Graduate School of Frontier Sciences, University of Tokyo, Minato-ku, Tokyo, Japan; Institute of Medical Science, University of Tokyo, Minato-ku, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epigenetic modifications such as DNA methylation have large effects on gene expression and genome maintenance. Helicobacter pylori, a human gastric pathogen, has a large number of DNA methyltransferase genes, with different strains having unique repertoires. Previous genome comparisons suggested that these methyltransferases often change DNA sequence specificity through domain movement--the movement between and within genes of coding sequences of target recognition domains. Using single-molecule real-time sequencing technology, which detects N6-methyladenines and N4-methylcytosines with single-base resolution, we studied methylated DNA sites throughout the H. pylori genome for several closely related strains. Overall, the methylome was highly variable among closely related strains. Hypermethylated regions were found, for example, in rpoB gene for RNA polymerase. We identified DNA sequence motifs for methylation and then assigned each of them to a specific homology group of the target recognition domains in the specificity-determining genes for Type I and other restriction-modification systems. These results supported proposed mechanisms for sequence-specificity changes in DNA methyltransferases. Knocking out one of the Type I specificity genes led to transcriptome changes, which suggested its role in gene expression. These results are consistent with the concept of evolution driven by DNA methylation, in which changes in the methylome lead to changes in the transcriptome and potentially to changes in phenotype, providing targets for natural or artificial selection.

Indexed as

Base SequenceDNA MethylationDNA Modification MethylasesGenome, BacterialHelicobacter pyloriNucleotide MotifsTranscriptomeDNA Modification Methylases

Identifiers

PMID24722038
PMCPMC3983042

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LicenceCC BY
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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.