Observation Bias in Metabarcoding

DNA metabarcoding is subject to observation bias associated with PCR and sequencing, which can result in observed read proportions differing from actual species proportions in the DNA extract. Here, we amplify and sequence a mock community of known composition containing marine fishes and cetaceans using four different primer sets and a variety of PCR conditions. We first compare metabarcoding observations to two different sets of expected species proportions based on total genomic DNA and on target mitochondrial template DNA. We find that calibrating observed read proportions based on template DNA concentration is most appropriate as it isolates PCR amplification bias; calibration with total genomic DNA results in bias that can be attributed to both PCR amplification bias and differing ratios of template to total genomic DNA. We then model the remaining amplification bias and find that approximately 60% can be explained by inherent species-specific DNA characteristics. These include primer-template mismatches, amplicon fragment length, and GC content, which vary somewhat across Taq polymerases. Finally, we investigate how different PCR protocols influence community composition regardless of expected proportions and find that changing protocols most strongly influence the amplification of templates with primer mismatches. Our findings suggest that using primer-template pairs without mismatches and targeting a narrow taxonomic group can yield more repeatable and accurate estimates of species' true, underlying DNA template proportions. These findings identify key factors that should be considered when designing studies that aim to apply metabarcoding data quantitatively.

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Publication Details

Journal
Molecular Ecology Resources
Published
2025-05-15
DOI
https://doi.org/10.1111/1755-0998.14119
Citations
20
Primary Topic
Environmental DNA in Biodiversity Studies
Type
article
Field-Weighted Citation Impact
34.33

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article

Observation Bias in Metabarcoding

Andrew O. Shelton, Amy M. Van Cise, Elizabeth Andruszkiewicz Allan, Megan Shaffer et al.
20 citations
Molecular Ecology Resources
Environmental DNA in Biodiversity Studies
34.33
article

Observation Bias in Metabarcoding

Andrew O. Shelton, Amy M. Van Cise, Elizabeth Andruszkiewicz Allan, Megan Shaffer, Ryan P. Kelly, Kim M. Parsons
article en
20 citations

Abstract

DNA metabarcoding is subject to observation bias associated with PCR and sequencing, which can result in observed read proportions differing from actual species proportions in the DNA extract. Here, we amplify and sequence a mock community of known composition containing marine fishes and cetaceans using four different primer sets and a variety of PCR conditions. We first compare metabarcoding observations to two different sets of expected species proportions based on total genomic DNA and on target mitochondrial template DNA. We find that calibrating observed read proportions based on template DNA concentration is most appropriate as it isolates PCR amplification bias; calibration with total genomic DNA results in bias that can be attributed to both PCR amplification bias and differing ratios of template to total genomic DNA. We then model the remaining amplification bias and find that approximately 60% can be explained by inherent species-specific DNA characteristics. These include primer-template mismatches, amplicon fragment length, and GC content, which vary somewhat across Taq polymerases. Finally, we investigate how different PCR protocols influence community composition regardless of expected proportions and find that changing protocols most strongly influence the amplification of templates with primer mismatches. Our findings suggest that using primer-template pairs without mismatches and targeting a narrow taxonomic group can yield more repeatable and accurate estimates of species' true, underlying DNA template proportions. These findings identify key factors that should be considered when designing studies that aim to apply metabarcoding data quantitatively.

Molecular Ecology ResourcesVol. 25(7)
NOAA National Marine Fisheries Service (US), National Oceanic and Atmospheric Administration (US), University of Washington (US), NOAA National Marine Fisheries Service Northwest Fisheries Science Center (US)
University of Washington, National Oceanic and Atmospheric Administration, Burke Museum, University of Washington, Office of Naval Research, National Marine Fisheries Service, Northwest Fisheries Science Center, Southwest Fisheries Science Center, NOAA Pacific Marine Environmental Laboratory
Life below water
Openalex Percentile: Top 0%
Environmental DNA in Biodiversity Studies
34.33
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