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Development and Testing of Species-specific Quantitative PCR Assays for Environmental DNA Applications
Published on: November 5, 2020
Reproducibility and quantitation of amplicon sequencing-based detection
Jizhong Zhou1, Liyou Wu, Ye Deng
1Department of Environmental Science and Engineering, Tsinghua University, Beijing, China. jzhou@ou.edu
The ISME Journal
|February 25, 2011
Summary
Amplicon sequencing for microbial communities shows low reproducibility and quantitation due to sampling variability. While useful for detecting community structure differences, caution is advised for quantitative beta-diversity analysis.
Area of Science:
- Microbiology
- Molecular Biology
- Ecology
Background:
- Amplicon sequencing is widely used for microbial community analysis.
- Understanding the reproducibility and quantitation of this method is crucial for reliable ecological studies.
Purpose of the Study:
- To assess the technical reproducibility and quantitation of amplicon sequencing for microbial community structure analysis.
- To evaluate strategies for improving data comparability.
Main Methods:
- Examined 24 microbial communities from a long-term global change experiment.
- Used 16S rRNA gene amplification with barcode tags for technical replicates.
- Included genomic DNA of Shewanella oneidensis MR-1 as a control.
- Investigated strategies like increasing biological replicates and data preprocessing.
Main Results:
- Low technical reproducibility observed, with low operational taxonomic unit (OTU) overlap between replicates.
- High variation in control DNA across samples indicated a lack of quantitation.
- Amplicon sequencing showed substantial effects on beta-diversity estimation but less on alpha-diversity.
- Despite limitations, clear microbial community differences were detected between experimental treatments (warming, clipping).
Conclusions:
- Amplicon sequencing is valuable for analyzing microbial community structure, despite not being fully reproducible or quantitative.
- Careful experimental design and data interpretation are essential, especially for quantitative beta-diversity assessments.
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