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Marine and Freshwater Research Marine and Freshwater Research Society
Advances in the aquatic sciences
RESEARCH ARTICLE

Improving reliability in environmental DNA detection surveys through enhanced quality control

Elise M. Furlan A B and Dianne Gleeson A
+ Author Affiliations
- Author Affiliations

A Institute for Applied Ecology, University of Canberra, University Drive, Bruce, ACT 2617, Australia.

B Corresponding author. Email: elise.furlan@canberra.edu.au

Marine and Freshwater Research 68(2) 388-395 https://doi.org/10.1071/MF15349
Submitted: 14 September 2015  Accepted: 13 February 2016   Published: 27 April 2016

Abstract

Species-specific environmental DNA (eDNA) surveys are increasingly being used to infer species presence in an environment. Current inadequacies in quality control increase concern for false negatives, which can have serious ramifications for both the management of invasive species and the conservation of native species. eDNA surveys involve a multi-step process to sample, capture, extract and amplify target DNA from the environment. We outline various positive control options and show that many of the commonly used controls are capable of detecting false negatives arising during the amplification stage only. We suggest a secondary, generic primer, designed to co-amplify endogenous DNA sampled during species-specific eDNA surveys, constitutes a superior positive control to monitor method success throughout all stages of eDNA analysis. We develop a species-specific European carp (Cyprinus carpio) assay and a generic fish assay for use as an endogenous control for eDNA surveys in Australian freshwater systems where fish are known to be abundant. We use these assays in a multiplex on eDNA samples that are simultaneously sampled, captured, extracted and amplified. This positive control allows us to distinguish method error from informative non-amplification results, improving reliability in eDNA surveys, which will ultimately lead to better informed conservation management decisions.

Additional keywords: detection, false negative, positive control, sensitivity, type II error.


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