Evidence map›Paper›PMID 31427571›Full record

ArticleNature communications2019

Genome-wide systematic identification of methyltransferase recognition and modification patterns.

Torbjørn Ølshøj Jensen, Christian Tellgren-Roth, Stephanie Redl, Jérôme Maury, Simo Abdessamad Baallal Jacobsen, Lasse Ebdrup Pedersen, Alex Toftgaard Nielsen

Open access · goldAbstract readValidation Study
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

15 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Emerging methylation-based approaches in microbiome engineering.Biotechnology for biofuels and bioproducts · 2024
    Review
  7. Article
  8. Review
  9. Distribution, inducibility, and characteristics ofMicrobiome research reports · 2023
    Article
  10. Article
  11. Genome Sequence ofMicroorganisms · 2022
    Article
  12. Article
  13. Review
  14. Article
  15. 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

7 authors at 2 institutions in 3 countries.

Torbjørn Ølshøj JensenThe Novo Nordisk Foundation Center for Biosustainability (CfB), Technical University of Denmark (DTU), DK-2800, Lyngby, Denmark.
Christian Tellgren-RothUppsala Genome Center, National Genomics Infrastructure, SciLifeLab, SE-751 08, Uppsala, Sweden.
Stephanie RedlThe Novo Nordisk Foundation Center for Biosustainability (CfB), Technical University of Denmark (DTU), DK-2800, Lyngby, Denmark.
Jérôme MauryThe Novo Nordisk Foundation Center for Biosustainability (CfB), Technical University of Denmark (DTU), DK-2800, Lyngby, Denmark.
Simo Abdessamad Baallal JacobsenThe Novo Nordisk Foundation Center for Biosustainability (CfB), Technical University of Denmark (DTU), DK-2800, Lyngby, Denmark.
Lasse Ebdrup PedersenThe Novo Nordisk Foundation Center for Biosustainability (CfB), Technical University of Denmark (DTU), DK-2800, Lyngby, Denmark.ORCID http://orcid.org/0000-0002-6064-919X
Alex Toftgaard NielsenThe Novo Nordisk Foundation Center for Biosustainability (CfB), Technical University of Denmark (DTU), DK-2800, Lyngby, Denmark. atn@biosustain.dtu.dk.ORCID http://orcid.org/0000-0001-6616-0187
Novo Nordisk Foundation · DKScience for Life Laboratory · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-wide analysis of DNA methylation patterns using single molecule real-time DNA sequencing has boosted the number of publicly available methylomes. However, there is a lack of tools coupling methylation patterns and the corresponding methyltransferase genes. Here we demonstrate a high-throughput method for coupling methyltransferases with their respective motifs, using automated cloning and analysing the methyltransferases in vectors carrying a strain-specific cassette containing all potential target sites. To validate the method, we analyse the genomes of the thermophile Moorella thermoacetica and the mesophile Acetobacterium woodii, two acetogenic bacteria having substantially modified genomes with 12 methylation motifs and a total of 23 methyltransferase genes. Using our method, we characterize the 23 methyltransferases, assign motifs to the respective enzymes and verify activity for 11 of the 12 motifs.

Indexed as

AcetobacteriumAmino Acid MotifsBacterial ProteinsDNA, BacterialDNA MethylationEpigenesis, GeneticGenome, BacterialHigh-Throughput Screening AssaysMethyltransferasesMoorellaSequence Analysis, DNABacterial ProteinsDNA, BacterialMethyltransferases

Identifiers

PMID31427571
PMCPMC6700114
OpenAlexW2969639845

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.