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Tick Microbiome Characterization by Next-Generation 16S rRNA Amplicon Sequencing
Published on: August 25, 2018
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Obtaining deeper insights into microbiome diversity using a simple method to block host and nontargets in amplicon
Teresa Mayer1, Alfredo Mari1,2, Juliana Almario2
1Plant Microbiosis Laboratory, Department of Microbiology, Friedrich Schiller University Jena, Jena, Germany.
Molecular Ecology Resources
|April 27, 2021
Summary
Blocking oligos reduce unwanted DNA amplification in microbiome sequencing, improving microbial discovery in plants and beyond. This method enhances sequencing depth and accuracy for diverse research systems.
Area of Science:
- Microbiome research
- Molecular biology
- Bioinformatics
Background:
- Microbiome profiling is crucial for understanding host-microbe interactions and ecological processes.
- Amplicon sequencing is a key tool, but often hampered by non-target DNA amplification, reducing sequencing depth.
- Host DNA and overabundant microbes frequently interfere with accurate microbiome analysis.
Purpose of the Study:
- To introduce a cost-effective method using blocking oligonucleotides (oligos) to prevent non-target DNA amplification during sequencing.
- To develop software for designing these blocking oligos for diverse applications.
- To demonstrate the efficacy of blocking oligos in plant-leaf microbiomes and other systems.
Main Methods:
- Designed and applied A. thaliana-specific blocking oligos targeting eight loci to reduce host DNA amplification.
- Developed universal 16S and 18S rRNA gene plant blocking oligos effective across multiple plant species.
- Tested blocking oligos against an oomycete pathogen and utilized them for a comprehensive A. thaliana leaf microbiome survey.
Main Results:
- A. thaliana-specific blocking oligos reduced host DNA amplification by up to 90% across eight target loci.
- Universal plant blocking oligos successfully inhibited amplification in five diverse plant species.
- Blocking oligos increased alpha diversity discovery without biasing beta diversity or microbial load data, and were effective against oomycete DNA.
Conclusions:
- Blocking oligos offer a flexible and low-cost solution to improve amplicon sequencing specificity and depth.
- This method enhances microbial discovery and facilitates deeper, systems-based insights in various study systems, including plant microbiomes.
- A publicly available R package supports the design of blocking oligos for broad applicability in microbiome research.
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