Evidence map›Paper›PMID 42206864›Full record

ArticleMicrobiology spectrum2026

Community structure and methylation of microbes in an artificially forced sediment core.

Rui Zhao, Jennifer F Biddle

Abstract read
In one paragraph

Article in Microbiology spectrum, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Rui ZhaoSchool of Marine Science and Policy, University of Delaware, Lewes, Delaware, USA.ORCID 0000-0002-6013-9587
Jennifer F BiddleSchool of Marine Science and Policy, University of Delaware, Lewes, Delaware, USA.ORCID 0000-0002-4344-8724

Funding

Predictive Modeling & Optimal Control Framework for Model-Based Epidemic Response in DelawareP20GM103446 · NIGMS · UNIVERSITY OF DELAWARE · PI MELINDA K DUNCAN · 2012 to 2026
$67.2M
NIGMS NIH HHS P20 GM103446W. M. Keck Foundation
6 · The paper itself

Abstract

Epigenetic modifications, such as DNA methylation, may be used in prokaryotes for the adaptation of microbes to external environmental changes. In this study, we examined the microbial community structure, recovered the genomes of the dominant microbes, and tracked methylation in several dominant microbes in a 23-cm artificial sediment core formed in a settling tank that mimics the sediment formation process. Our results indicated that the prokaryotic communities only showed minor variations with depth and were dominated by bacteria (especially taxa of Deltaproteobacteria, Gammaproteobacteria, and Bacteroidota), while archaea (dominated by Bathyarchaeia) accounted for <5% of the total communities throughout the core. We detected methylation by analyzing metagenome sequencing data of methyl-specific enzyme-digested and undigested DNA. We recovered 72 high- or medium-quality metagenome-assembled genomes for the dominant taxa, for 7 of which we detected distinct downcore methylation patterns. This work highlights the diverse processes of epigenetic modification in response to the sediment burial process, which may have a long-term impact on the overall community fitness in the evolving energy-limited conditions in marine sediments.IMPORTANCEThis work reports changes in the epigenetic profiles of microbes buried in a sediment column formed under a controlled, artificially created environment. This approach removes confounding variables of bioturbation and changes in sediment flux. We also use an approach that is accessible for low amounts of DNA to determine methylation status.

Indexed as

ArchaeaBacteriaDNA MethylationGeologic SedimentsMicrobiotaEpigenesis, GeneticMetagenomePhylogenyepigeneticsmetagenomemethylationsediment

Identifiers

PMID42206864
PMCPMC13340088

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.