Minimizing polymerase biases in metabarcoding.

Area of Science:

• Environmental DNA (eDNA) analysis
• Molecular ecology
• Biodiversity assessment

Background:

• DNA metabarcoding is a powerful tool for biodiversity assessment using environmental samples.
• Accuracy of DNA metabarcoding relies on minimizing biases in DNA amplification and analysis.
• Technical biases, such as polymerase choice, can impact biodiversity data accuracy.

Purpose of the Study:

• To investigate the influence of different DNA polymerase choices on DNA metabarcoding results.
• To identify potential sources of technical bias introduced by polymerases.
• To provide recommendations for optimizing DNA metabarcoding experimental design.

Main Methods:

• Compared six commercially available DNA polymerases for DNA metabarcoding.
• Utilized mixtures of synthetic DNA sequences and real sedimentary DNA extracts.
• Analyzed effects on both occurrence and relative abundance data.

Main Results:

• DNA polymerase choice significantly impacts both occurrence and relative abundance estimates in DNA metabarcoding.
• Polymerase bias is strongly correlated with polymerase preference for DNA sequences with specific GC content.
• Different polymerases exhibited varying degrees of bias, affecting taxonomic representation.

Conclusions:

• Selecting the appropriate DNA polymerase is crucial for accurate biodiversity assessment via DNA metabarcoding.
• Understanding polymerase-specific biases, particularly those related to GC content, is essential for data interpretation.
• The study recommends an experimental approach to mitigate polymerase-induced biases in metabarcoding studies.