Evidence map›Paper›PMID 37904586›Full record

ArticleNucleic acids research2023

PacBio sequencing of human fecal samples uncovers the DNA methylation landscape of 22 673 gut phages.

Yanqiang Ding, Liuyang Zhao, Guoping Wang, Yu Shi, Gang Guo, Changan Liu, Zigui Chen, Olabisi Oluwabukola Coker, Junjun She, Jun Yu

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

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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

10 authors at 2 institutions in 2 countries.

Yanqiang DingInstitute of Digestive Disease and Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, CUHK-Shenzhen Research Institute, The Chinese University of Hong Kong, Hong Kong SAR, China.
Liuyang ZhaoInstitute of Digestive Disease and Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, CUHK-Shenzhen Research Institute, The Chinese University of Hong Kong, Hong Kong SAR, China.
Guoping WangInstitute of Digestive Disease and Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, CUHK-Shenzhen Research Institute, The Chinese University of Hong Kong, Hong Kong SAR, China.
Yu ShiInstitute of Digestive Disease and Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, CUHK-Shenzhen Research Institute, The Chinese University of Hong Kong, Hong Kong SAR, China.
Gang GuoCenter for Gut Microbiome Research, Department of Surgery, Med-X Institute, Department of High Talent, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Changan LiuInstitute of Digestive Disease and Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, CUHK-Shenzhen Research Institute, The Chinese University of Hong Kong, Hong Kong SAR, China.
Zigui ChenDepartment of Microbiology, The Chinese University of Hong Kong, Hong Kong SAR, China.
Olabisi Oluwabukola CokerInstitute of Digestive Disease and Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, CUHK-Shenzhen Research Institute, The Chinese University of Hong Kong, Hong Kong SAR, China.
Junjun SheCenter for Gut Microbiome Research, Department of Surgery, Med-X Institute, Department of High Talent, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Jun YuInstitute of Digestive Disease and Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, CUHK-Shenzhen Research Institute, The Chinese University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0001-5008-2153
Chinese University of Hong Kong · HKFirst Affiliated Hospital of Xi'an Jiaotong University · CN

Funding

National Natural Science Foundation of China NSFC 81972576RGC Research Impact Fund R4032-21FRGC Theme-based Research Scheme T12-703/19-RShenzhen-Hong Kong-Macao Science and Technology Program SGDX20210823103535016Vice-Chancellor's Discretionary Fund CUHK
6 · The paper itself

Abstract

Gut phages have an important impact on human health. Methylation plays key roles in DNA recognition, gene expression regulation and replication for phages. However, the DNA methylation landscape of gut phages is largely unknown. Here, with PacBio sequencing (2120×, 4785 Gb), we detected gut phage methylation landscape based on 22 673 gut phage genomes, and presented diverse methylation motifs and methylation differences in genomic elements. Moreover, the methylation rate of phages was associated with taxonomy and host, and N6-methyladenine methylation rate was higher in temperate phages than in virulent phages, suggesting an important role for methylation in phage-host interaction. In particular, 3543 (15.63%) phage genomes contained restriction-modification system, which could aid in evading clearance by the host. This study revealed the DNA methylation landscape of gut phage and its potential roles, which will advance the understanding of gut phage survival and human health.

Indexed as

BacteriophagesDNA MethylationGastrointestinal MicrobiomeAdenineArchaeaBacteriaDNA Restriction-Modification EnzymesHumansAdenineDNA Restriction-Modification EnzymesN(6)-methoxyadenine

Identifiers

PMID37904586
PMCPMC10711547
OpenAlexW4388033638

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.