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Updated: Jan 18, 2026

Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing
Published on: October 15, 2019
The Gut Microbiome and Epigenomic Reprogramming: Mechanisms, Interactions, and Implications for Human Health and
Noelle C Rubas1, Amada Torres2, Alika K Maunakea2
1Department of Molecular Bioscience and Bioengineering, University of Hawai'i at Mānoa, Honolulu, HI 96822, USA.
The gut microbiome influences host epigenetics through microbial metabolites and conserved pathways. Understanding these microbiome-host epigenome interactions offers new precision health and disease treatment strategies.
Area of Science:
- Microbiology
- Epigenetics
- Host-Microbe Interactions
Background:
- The human gut microbiome is a complex ecosystem impacting host physiology via epigenetic modifications like DNA and RNA methylation.
- Environmental factors and microbial metabolites shape these epigenetic changes, but molecular pathways are not fully understood.
Purpose of the Study:
- To review recent advances in understanding how the gut microbiome interacts with and modulates host epigenome.
- To explore conserved molecular pathways and host factors involved in microbiome-epigenome communication.
- To outline translational applications for microbiome-informed health strategies.
Main Methods:
- Literature review of mechanistic discoveries and conceptual advances.
- Discussion of evolutionarily conserved pathways (e.g., one-carbon metabolism, SCFAs, EVs).
- Examination of host factors (diet, aging, immunity) and technological advancements (AI, multi-omics).
Main Results:
- Identified conserved pathways through which gut microbiota regulate host methylation.
- Highlighted reciprocal influences between host factors and microbial communities.
- Outlined translational frontiers including biomarker discovery and novel therapeutics.
Conclusions:
- Microbiome-epigenome interactions are crucial for host physiology and plasticity.
- Further research into these complex interactions can drive precision health and disease prevention.
- Standardization and ethical data governance are essential for clinical translation.
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