Metatranscriptomic analyses of the oral microbiome
1Department of Oral Biology, College of Dentistry, University of Florida, Gainesville, FL, USA.
Periodontology 2000
|November 23, 2020
Summary
Understanding oral microbial gene regulation is key to tackling periodontal disease and caries. Metatranscriptomic analysis reveals how microbial communities shift from health to disease, identifying potential triggers like sugar metabolism and potassium levels.
Area of Science:
- Oral microbiology and host-microbiome interactions.
- Gene expression and metabolic pathways in oral biofilms.
Background:
- While oral microbiome composition is known, gene regulation within these communities is largely uncharacterized.
- Oral biofilms are implicated in periodontal disease and caries, necessitating study of microbial gene expression.
- Understanding functional shifts in oral microbial communities is crucial for distinguishing health from disease states.
Purpose of the Study:
- To explore and characterize changes in oral microbial gene expression profiles.
- To identify functional activities and environmental signals that trigger the transition from commensal to dysbiotic states.
- To provide a foundation for understanding the dynamics of oral microbial communities during dysbiosis.
Main Methods:
- Metatranscriptomic analysis of oral microbial communities.
- Examination of gene expression patterns within the subgingival microbiota in the context of oral diseases.
- Integration of host gene expression data with microbiome patterns.
Main Results:
- Identified potential new sugar metabolism pathways in *Streptococcus mutans* relevant to caries.
- Highlighted high extracellular potassium levels as a potential signal for periodontal disease.
- Demonstrated the intertwined functions of microbial species within the subgingival microbiota.
Conclusions:
- Metatranscriptomics offers insights into microbial community shifts and disease triggers.
- Further longitudinal studies are needed to identify early markers for caries and periodontal disease.
- Combined host and microbiome gene expression data will enhance understanding of oral health and disease modulation.


