Usage of Metatranscriptomics to Understand Oral Disease
1Department of Chemistry, Nihon University School of Dentistry, Tokyo, Japan. watanabe.takayasu@nihon-u.ac.jp.
Methods in Molecular Biology (Clifton, N.J.)
|August 19, 2021
Summary
Metatranscriptomics captures bacterial activity at the transcription level, offering more detail than 16S rDNA sequencing. This protocol for oral microbiota uses rRNA expression as a control for accurate transcriptional activity measurement.
Area of Science:
- Microbiology
- Genomics
- Molecular Biology
Background:
- Metatranscriptomics offers a comprehensive view of bacterial activity at the transcriptional level within microbiota.
- 16S rDNA sequencing, while useful for composition, provides limited functional insights compared to metatranscriptomics.
- Understanding microbial gene expression is crucial for deciphering complex biological systems.
Purpose of the Study:
- To describe a novel protocol for performing metatranscriptomics on oral microbiota.
- To introduce a method for quantifying bacterial transcriptional activity using high-throughput sequencing.
- To establish a reliable internal control for measuring gene expression in microbial communities.
Main Methods:
- Development of a metatranscriptomics protocol specifically for oral microbiota samples.
- Utilization of high-throughput sequencing technology for comprehensive gene expression analysis.
- Implementation of ribosomal RNA (rRNA) expression levels as an internal control for normalization.
Main Results:
- The protocol enables detailed analysis of transcribed genes and the bacterial taxa responsible for them.
- A key innovation is the use of rRNA expression levels to normalize messenger RNA (mRNA) levels.
- The mRNA/rRNA ratio serves as a robust indicator of transcriptional activity for each bacterial taxon.
Conclusions:
- This metatranscriptomics protocol provides a powerful tool for studying oral microbiota function.
- The normalization method using rRNA expression enhances the accuracy of transcriptional activity measurements.
- The findings advance our ability to investigate microbial community dynamics and host-microbe interactions.
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