Quantifying the Detection Sensitivity and Precision of <scp>qPCR</scp> and <scp>ddPCR</scp> Mechanisms for <scp>eDNA</scp> Samples

Environmental DNA (eDNA) detection employing quantitative PCR (qPCR) and droplet digital PCR (ddPCR) offers a non-invasive and efficient approach for monitoring aquatic organisms. Accurate and sensitive quantification of eDNA is crucial for tracking rare and invasive species and understanding the biodiversity abundance and distribution of aquatic organisms. This study compares the sensitivity and quantification precision of qPCR and ddPCR for eDNA surveys through Bayesian inference using latent parameters from both known concentration (standards) and environmental samples across three teleost fish species assays. The results show that ddPCR offers higher sensitivity and quantification precision, particularly at low DNA concentrations (< 1 copy/μL reaction), than qPCR. These findings highlight the superior performance of ddPCR for eDNA detection at low concentrations, guiding researchers towards more reliable methods for effective species monitoring. Additionally, this study indicates that a two-step (detection and concentration) model increased the precision of qPCR results, useful for enhancing the robustness of eDNA quantification. Furthermore, we investigated the lower limit of quantification for ddPCR, providing insights on how such limit can be extended, which could also be applied to qPCR.

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Publication Details

Journal
Ecology and Evolution
Published
2024-12-01
DOI
https://doi.org/10.1002/ece3.70678
Citations
29
Primary Topic
Environmental DNA in Biodiversity Studies
Type
article
Field-Weighted Citation Impact
13.31

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article

Quantifying the Detection Sensitivity and Precision of qPCR and ddPCR Mechanisms for eDNA Samples

Jon‐Ivar Westgaard, Owen Simon Wangensteen, Kim Præbel, Nigel G. Yoccoz et al.
29 citations
Ecology and Evolution
Environmental DNA in Biodiversity Studies
13.31
article

Quantifying the Detection Sensitivity and Precision of qPCR and ddPCR Mechanisms for eDNA Samples

Jon‐Ivar Westgaard, Owen Simon Wangensteen, Kim Præbel, Nigel G. Yoccoz, Jessica Louise Ray, Andrew O. Shelton, Gledis Guri, Elizabeth Andruszkiewicz Allan, Tanja Hanebrekke, Ryan P. Kelly, Torild Johansen
article en
29 citations

Abstract

Environmental DNA (eDNA) detection employing quantitative PCR (qPCR) and droplet digital PCR (ddPCR) offers a non-invasive and efficient approach for monitoring aquatic organisms. Accurate and sensitive quantification of eDNA is crucial for tracking rare and invasive species and understanding the biodiversity abundance and distribution of aquatic organisms. This study compares the sensitivity and quantification precision of qPCR and ddPCR for eDNA surveys through Bayesian inference using latent parameters from both known concentration (standards) and environmental samples across three teleost fish species assays. The results show that ddPCR offers higher sensitivity and quantification precision, particularly at low DNA concentrations (< 1 copy/μL reaction), than qPCR. These findings highlight the superior performance of ddPCR for eDNA detection at low concentrations, guiding researchers towards more reliable methods for effective species monitoring. Additionally, this study indicates that a two-step (detection and concentration) model increased the precision of qPCR results, useful for enhancing the robustness of eDNA quantification. Furthermore, we investigated the lower limit of quantification for ddPCR, providing insights on how such limit can be extended, which could also be applied to qPCR.

Ecology and EvolutionVol. 14(12)
NOAA National Marine Fisheries Service (US), University of Washington (US), Norwegian Institute of Marine Research (NO), Uni Research (Norway) (NO), NORCE Research AS (NO), The FRAM Centre (NO), NOAA National Marine Fisheries Service Northwest Fisheries Science Center (US), Universitat de Barcelona (ES), UiT The Arctic University of Norway (NO)
Norges Forskningsråd
Life in Land
Openalex Percentile: Top 1%
Environmental DNA in Biodiversity Studies
13.31
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