ArticlemSystems2021
Bacterial Epigenomics: Coming of Age.
Article in mSystems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed.
- Epigenomics identifies three sources of DNA methylation inbioRxiv : the preprint server for biology · 2026Article
- Article
- The Role of Phenotypic Plasticity and Within-Environment Trait Variability in the Assembly of the Nectar Microbiome and Plant-Microbe-Animal Interactions.Ecology and evolution · 2025Review
- Decoding the genome and epigenome of avianFrontiers in veterinary science · 2025Article
- Review
- Changes in DNA methylation contribute to rapid adaptation in bacterial plant pathogen evolution.PLoS biology · 2024Article
- Microbiome and epigenetic variation in wild fish with low genetic diversity.Nature communications · 2024Article
- Article
- Cardiometabolic health, diet and the gut microbiome: a meta-omics perspective.Nature medicine · 2023Review
- Growth condition-dependent differences in methylation imply transiently differentiated DNA methylation states in Escherichia coli.G3 (Bethesda, Md.) · 2023Article
Corrections and comments
- Erratum issued
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Epigenetic DNA methylation in bacteria has been traditionally studied in the context of antiparasitic defense and as part of the innate immune discrimination between self and nonself DNA. However, sequencing advances that allow genome-wide analysis of DNA methylation at the single-base resolution are nowadays expanding and have propelled a modern epigenomic revolution in our understanding of the extent, evolution, and physiological relevance of methylation. Indeed, as the number of mapped bacterial methylomes recently surpassed 4,000, increasing evidence supports roles for methylation in gene expression regulation, virulence, and host colonization, among others. In this paper, I summarize lessons taken from high-dimensional methylome data analyses and recent efforts that we and others are developing to leverage such findings into meaningful biological insights and overarching frameworks. Ultimately, I highlight anticipated research avenues and technological developments likely to unfold in the coming years.
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What OpenQuestion holds
Registered trials
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.