Evidence map›Paper›PMID 33820988›Full record

ArticleNature methods2021

Discovering multiple types of DNA methylation from bacteria and microbiome using nanopore sequencing.

Alan Tourancheau, Edward A Mead, Xue-Song Zhang, Gang Fang

Open access · greenAbstract read
In one paragraph

Article in Nature methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 124 papers.

0numbers the graph read from it
0cells of the map it votes in
124citing papers in PubMed
13.8field-weighted citation impact, top 1% 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

124 citing papers in PubMed, 199 citations in OpenAlex.

  1. Article
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  11. A pentose, as a cytosine nucleobase modification inApplied and environmental microbiology · 2026
    Article
  12. Review
  13. Article
  14. Review
  15. Replication-coupled hemimethylation inFrontiers in microbiology · 2026
    Review
  16. Article
  17. Gene regulation inMicrobiology and molecular biology reviews : MMBR · 2025
    Review
  18. Article
  19. Article
  20. UsingACS synthetic biology · 2025
    Article

64 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

4 authors at 2 institutions in 1 country.

Alan TourancheauDepartment of Genetics and Genomic Sciences and Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID http://orcid.org/0000-0001-7989-346X
Edward A MeadDepartment of Genetics and Genomic Sciences and Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Xue-Song ZhangCenter for Advanced Biotechnology and Medicine, Rutgers University, New Brunswick, NJ, USA.
Gang FangDepartment of Genetics and Genomic Sciences and Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA. gang.fang@mssm.edu.ORCID http://orcid.org/0000-0002-2462-9124
Icahn School of Medicine at Mount Sinai · USRutgers, The State University of New Jersey · US

Funding

High Resolution Characterization of Bacterial Epigenomes and MicrobiomeR35GM139655 · NIGMS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Gang Fang · 2021 to 2026
$4.9M
Direct Determination of Multiple Specific Forms of DNA Chemical Modifications in Human GenomeR01HG011095 · NHGRI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI FANG, GANG · 2021 to 2023
$2.2M
High Resolution Characterization of Gut Microbiome and its Response to AntibioticsR01GM128955 · NIGMS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI FANG, GANG · 2018 to 2020
$1.9M
Direct Determination of Multiple Specific Forms of DNA Chemical Modifications in Human GenomeR56HG011095 · NHGRI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI FANG, GANG · 2020 to 2020
$233k
NHGRI NIH HHS R01 HG011095NHGRI NIH HHS R56 HG011095NIGMS NIH HHS R01 GM128955NIGMS NIH HHS R35 GM139655
6 · The paper itself

Abstract

Bacterial DNA methylation occurs at diverse sequence contexts and plays important functional roles in cellular defense and gene regulation. Existing methods for detecting DNA modification from nanopore sequencing data do not effectively support de novo study of unknown bacterial methylomes. In this work, we observed that a nanopore sequencing signal displays complex heterogeneity across methylation events of the same type. To enable nanopore sequencing for broadly applicable methylation discovery, we generated a training dataset from an assortment of bacterial species and developed a method, named nanodisco ( https://github.com/fanglab/nanodisco ), that couples the identification and fine mapping of the three forms of methylation into a multi-label classification framework. We applied it to individual bacteria and the mouse gut microbiome for reliable methylation discovery. In addition, we demonstrated the use of DNA methylation for binning metagenomic contigs, associating mobile genetic elements with their host genomes and identifying misassembled metagenomic contigs.

Indexed as

Nanopore SequencingAnimalsBacteriaDNA, BacterialDNA MethylationGastrointestinal MicrobiomeGenome, BacterialMetagenomeMetagenomicsMiceDNA, Bacterial

Identifiers

PMID33820988
PMCPMC8107137
OpenAlexW3151608695

What OpenQuestion holds

Textmetadata
LicenceTDM
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.