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Characterization and Demonstration of Mock Communities as Control Reagents for Accurate Human Microbiome Community
Dieter M Tourlousse1, Koji Narita2,3, Takamasa Miura4
1Biomedical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, Japan.
Microbiology Spectrum
|March 2, 2022
Summary
New DNA and whole-cell mock communities aid human gut microbiome analysis. These well-characterized control reagents improve accuracy and reproducibility in high-throughput DNA sequencing studies.
Area of Science:
- Microbiome research
- Genomics
- Molecular biology
Background:
- High-throughput DNA sequencing accelerates microbiome research, but results vary across studies.
- Standardization and quality assurance are crucial for accurate and reproducible microbiome community analysis.
- Well-characterized reference materials are needed for human gut microbiota measurements.
Purpose of the Study:
- To develop and characterize DNA and whole-cell mock communities for microbiome analysis.
- To serve as control reagents for shotgun metagenomics and 16S rRNA gene amplicon sequencing.
- To validate the utility of mock communities for assessing technical variability and method performance.
Main Methods:
- Formulation of mock communities with up to 20 prevalent gut bacterial species, diverse GC content, and Gram-positive cell walls.
- Characterization of mock communities using shotgun metagenomics with standardized DNA extraction and library construction protocols.
- Validation of mock communities for assessing differences in DNA extraction and library preparation methods.
Main Results:
- Mock communities revealed varying performance of metagenome-based taxonomic profilers.
- Aggressive read preprocessing can introduce substantial GC-dependent bias, affecting species abundance profiles.
- The developed mock communities effectively highlight technical differences in microbiome analysis protocols.
Conclusions:
- The newly developed mock communities are valuable control reagents for human gut microbiome research.
- These mock communities support method evaluation, optimization, interlaboratory studies, and routine quality control.
- Widespread adoption will enhance reproducibility and comparability of microbiome analyses, accelerating research and development.
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