A comprehensive benchmarking study of protocols and sequencing platforms for 16S rRNA community profiling
Abstract
We have assessed a range of experimental conditions across several next generation sequencing platforms using the most up-to-date configurations. We propose that the choice of sequencing platform and experimental design needs to be taken into consideration in the early stage of a project by running a small trial consisting of several hypervariable regions to quantify the discriminatory power of each region. We also suggest that the use of a synthetic community as a positive control would be beneficial to identify the potential biases and procedural drawbacks that may lead to data misinterpretation. The results of this study will serve as a guideline for making decisions on which experimental condition and sequencing platform to consider to achieve the best microbial profiling.
MeSH terms
Funding
- U.S. Department of Energy
- Battelle
- UT-Battelle
- Sight Research UK
- Technology Strategy Board
- University of Liverpool
- Medical Research Council
- Biotechnology and Biological Sciences Research Council
- Natural Environment Research Council
- Oak Ridge National Laboratory
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