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Published on: March 8, 2018
Wet Lab Protocols Matter: Choice of DNA Extraction and Library Preparation Protocols Bias Ancient Oral Microbiome
Sterling L Wright1,2,3,4, Muslih Abdul-Aziz5, Grace N Blaha1
1Department of Anthropology, The Pennsylvania State University, University Park, Pennsylvania, USA.
Molecular Ecology Resources
|October 6, 2025
Summary
DNA extraction and library preparation methods significantly impact ancient oral microbiome recovery from dental calculus. Protocol effectiveness varies with sample preservation, complicating ancient metagenomics reproducibility.
Area of Science:
- Paleogenomics
- Microbiome Research
- Archaeological Science
Background:
- Ancient DNA (aDNA) from dental calculus offers insights into past health and lifestyles.
- Ancient metagenomics workflows are evolving, posing reproducibility challenges.
- Limited research exists on how wet-lab protocols affect ancient oral microbiome recovery.
Purpose of the Study:
- To investigate the impact of DNA extraction and library preparation methods on ancient oral microbiome recovery.
- To assess how sample preservation influences the efficacy of these protocols.
- To understand technical variability in ancient metagenomics.
Main Methods:
- Applied two DNA extraction and two library preparation methods to dental calculus samples from Hungary and Niger.
- Analyzed samples with varying aDNA preservation levels.
- Assessed intra- and inter-sample variability using metrics like DNA fragment length, GC content, clonality, endogenous content, deamination, and microbial composition.
Main Results:
- Both DNA extraction and library preparation protocols significantly influenced aDNA recovery from dental calculus.
- No single protocol consistently outperformed others across all metrics.
- Protocol effectiveness was dependent on the degree of sample preservation.
Conclusions:
- Wet-lab protocols introduce considerable technical variability into ancient metagenomics studies.
- Findings highlight challenges for meta-analyses and the need to consider protocol-induced biases.
- The study prompts discussion on standardizing methods versus optimizing protocols based on sample characteristics and research goals.

