Evidence map›Paper›PMID 39669509›Full record

ArticleEcology and evolution2024

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

Gledis Guri, Jessica Louise Ray, Andrew Olaf Shelton, Ryan P Kelly, Kim Præbel, Elizabeth Andruszkiewicz Allan, Nigel Yoccoz, Torild Johansen, Owen S Wangensteen, Tanja Hanebrekke and 1 more

Abstract read
In one paragraph

Article in Ecology and evolution, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Gledis GuriNorwegian Institute of Marine Research Framsenteret Tromsø Norway.ORCID https://orcid.org/0000-0002-3711-6758
Jessica Louise RayNORCE Norwegian Research Centre AS, Climate & Environment Department Uni Research Environment Bergen Norway.
Andrew Olaf SheltonNorthwest Fisheries Science Center NOAA Fisheries Seattle Washington USA.
Ryan P KellySchool of Marine and Environmental Affairs University of Washington Seattle Washington USA.
Kim PræbelNorwegian College of Fishery Science UiT the Arctic University of Norway Tromsø Norway.
Elizabeth Andruszkiewicz AllanSchool of Marine and Environmental Affairs University of Washington Seattle Washington USA.
Nigel YoccozDepartment of Arctic and Marine Biology UiT the Arctic University of Norway Tromsø Norway.
Torild JohansenNorwegian Institute of Marine Research Framsenteret Tromsø Norway.ORCID https://orcid.org/0000-0002-9858-052X
Owen S WangensteenNorwegian College of Fishery Science UiT the Arctic University of Norway Tromsø Norway.
Tanja HanebrekkeNorwegian Institute of Marine Research Framsenteret Tromsø Norway.
Jon-Ivar WestgaardNorwegian Institute of Marine Research Framsenteret Tromsø Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

ddPCReDNAfish monitoringqPCRquantification precisionsensitivity

Identifiers

PMID39669509
PMCPMC11634988

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.