Evidence map›Paper›PMID 41173993›Full record

ArticleScientific reports2025

Long-read methylome analysis of Oleidesulfovibrio alaskensis G20 biofilm under copper stress.

Payal Thakur, Ram Nageena Singh, Rajesh Kumar Sani

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

3 authors.

Payal ThakurKaren M. Swindler Department of Chemical and Biological Engineering, South Dakota Mines, Rapid City, SD, USA.
Ram Nageena SinghKaren M. Swindler Department of Chemical and Biological Engineering, South Dakota Mines, Rapid City, SD, USA.
Rajesh Kumar SaniKaren M. Swindler Department of Chemical and Biological Engineering, South Dakota Mines, Rapid City, SD, USA. rajesh.sani@sdsmt.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study represents the first investigation of 5-methyl cytosine (5mC) DNA methylation patterns in sulfate-reducing bacterial (SRB) biofilms under copper (Cu) stress, utilizing Oxford Nanopore Technologies (ONT) sequencing. DNA methylation is a crucial epigenetic modification that is dynamic and regulates the signals to modulate molecular mechanisms across biological systems. The regulatory roles of DNA methylation in prokaryotic systems remain comparatively understudied than in eukaryotes. Bacteria are highly sensitive to environmental changes and therefore may utilize additional mechanisms like DNA methylation to combat the stresses. Our previous studies, utilizing microscopy and growth analyses, revealed that Oleidesulfovibrio alaskensis G20 (OA G20) biofilms responded to Cu stress. However, the DNA methylation patterns associated with this response remain unexplored, leaving a critical gap in our understanding of the epigenetic mechanisms regulating OA G20 biofilms under Cu stress. This study aims to address this knowledge gap by identifying 5mC DNA methylation in biofilms of OA G20 under Cu stress. To achieve our goal OA G20 biofilms cultivated under 30 µM-Cu ion stress along with control and sequenced through ONT sequencing. DNA methylation analysis was performed using the MicrobeMod pipeline identifying three methylated motifs: TCCG, CCCGCCCG, and CGGGAT in control (0 µM-Cu). TCCG was identified as the predominant methylated motif, with analysis revealing 78,022 genomic positions in the control condition. Of these, 61.7% exhibited 5mC modifications, 33.9% remained unmodified, and 4.4% showed uncharacterized modifications. In contrast, the 30 µM-Cu biofilm showed methylation in only two motifs, TCCG and GCANCTGCGS. Analysis of TCCG revealed 63,315 genomic positions, with 62.7% (39,706 sites) showing methylation and 33.2% (20,990 sites) remaining unmethylated. A total of 1418 common methylated positions were identified for both conditions and there were 341 and 424 genomic positions identified for motif TCCG above 75% methylation in the 0 µM and 30 µM-Cu biofilm samples, respectively. Differential methylation analysis revealed significant variations in methylation patterns across several key genes of crucial molecular pathways, important for biofilm formation, including ATP-Binding Cassettes (ABC) transporters, phosphohydrolase, flagellar biosynthesis, chemotaxis, cobalamin synthase, histidine kinase, and uncharacterized proteins.

Indexed as

BiofilmsCopperDNA MethylationEpigenomeStress, PhysiologicalEpigenesis, GeneticCopperBiofilmCopperDNA methylationOxford nanoporeSulfate reducing bacteria

Identifiers

PMID41173993
PMCPMC12579266

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.