Evidence map›Paper›PMID 29227468›Full record

ArticleNature biotechnology2018

Metagenomic binning and association of plasmids with bacterial host genomes using DNA methylation.

John Beaulaurier, Shijia Zhu, Gintaras Deikus, Ilaria Mogno, Xue-Song Zhang, Austin Davis-Richardson, Ronald Canepa, Eric W Triplett, Jeremiah J Faith, Robert Sebra and 2 more

Open access · greenAbstract read
In one paragraph

Article in Nature biotechnology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers.

0numbers the graph read from it
0cells of the map it votes in
94citing papers in PubMed
6.4field-weighted citation impact, top 3% 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

94 citing papers in PubMed, 155 citations in OpenAlex.

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  13. Sulfonamide resistance geneMicrobiology spectrum · 2026
    Article
  14. A genomic view of Earth's biomes.Nature reviews. Genetics · 2026
    Review
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34 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

12 authors at 4 institutions in 1 country.

John BeaulaurierDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.ORCID 0000-0003-1536-888X
Shijia ZhuDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Gintaras DeikusDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Ilaria MognoDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Xue-Song ZhangDepartment of Medicine, New York University School of Medicine, New York, New York, USA.
Austin Davis-RichardsonDepartment of Microbiology and Cell Science, Institute of Food and Agricultural Sciences, University of Florida, Gainesville, Florida, USA.
Ronald CanepaDepartment of Microbiology and Cell Science, Institute of Food and Agricultural Sciences, University of Florida, Gainesville, Florida, USA.
Eric W TriplettDepartment of Microbiology and Cell Science, Institute of Food and Agricultural Sciences, University of Florida, Gainesville, Florida, USA.
Jeremiah J FaithDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Robert SebraDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Eric E SchadtDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.ORCID 0000-0002-7892-8808
Gang FangDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.ORCID 0000-0002-2462-9124
Icahn School of Medicine at Mount Sinai · USUniversity of Florida · USSema4 (United States) · USNew York University · US

Funding

Methods for Multiscale and Integrative Characterization of Bacterial EpigenomesR01GM114472 · NIGMS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI FANG, GANG · 2015 to 2019
$2.1M
NIGMS NIH HHS R01 GM114472
6 · The paper itself

Abstract

Shotgun metagenomics methods enable characterization of microbial communities in human microbiome and environmental samples. Assembly of metagenome sequences does not output whole genomes, so computational binning methods have been developed to cluster sequences into genome 'bins'. These methods exploit sequence composition, species abundance, or chromosome organization but cannot fully distinguish closely related species and strains. We present a binning method that incorporates bacterial DNA methylation signatures, which are detected using single-molecule real-time sequencing. Our method takes advantage of these endogenous epigenetic barcodes to resolve individual reads and assembled contigs into species- and strain-level bins. We validate our method using synthetic and real microbiome sequences. In addition to genome binning, we show that our method links plasmids and other mobile genetic elements to their host species in a real microbiome sample. Incorporation of DNA methylation information into shotgun metagenomics analyses will complement existing methods to enable more accurate sequence binning.

Indexed as

MetagenomicsAlgorithmsBacteriaCluster AnalysisDNA MethylationEnvironmental MicrobiologyGenome, BacterialHumansMetagenomeMicrobiotaPlasmidsSequence Analysis, DNA

Identifiers

PMID29227468
PMCPMC5762413
OpenAlexW2771499133

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.