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Is the detection of aquatic environmental DNA influenced by substrate type?

Buxton, Andrew S., Groombridge, Jim J., Griffiths, Richard A. (2017) Is the detection of aquatic environmental DNA influenced by substrate type? PLOS ONE, 12 (8). Article Number 183371. ISSN 1932-6203. (doi:10.1371/journal.pone.0183371) (KAR id:63201)

Abstract

The use of environmental DNA (eDNA) to assess the presence-absence of rare, cryptic or invasive species is hindered by a poor understanding of the factors that can remove DNA from the system. In aquatic systems, eDNA can be transported out either horizontally in water flows or vertically by incorporation into the sediment. Equally, eDNA may be broken down by various biotic and abiotic processes if the target organism leaves the system. We use occupancy modelling and a replicated mesocosm experiment to examine how detection probability of eDNA changes once the target species is no longer present. We hypothesise that detection probability falls faster with a sediment which has a large number of DNA binding sites such as topsoil or clay, over lower DNA binding capacity substrates such as sand. Water removed from ponds containing the target species (the great crested newt) initially showed high detection probabilities, but these fell to between 40% and 60% over the first 10 days and to between 10% and 22% by day 15: eDNA remained detectable at very low levels until day 22. Very little difference in detection was observed between the control group (no substrate) and the sand substrate. A small reduction in detection probability was observed between the control and clay substrates, but this was not significant. However, a highly significant reduction in detection probability was observed with a topsoil substrate. This result is likely to have stemmed from increased levels of PCR inhibition, suggesting that incorporation of DNA into the sediment is of only limited importance. Surveys of aquatic species using eDNA clearly need to take account of substrate type as well as other environmental factors when collecting samples, analysing data and interpreting the results

Item Type: Article
DOI/Identification number: 10.1371/journal.pone.0183371
Subjects: Q Science
Q Science > QL Zoology
Divisions: Divisions > Division of Human and Social Sciences > School of Anthropology and Conservation
Depositing User: Richard Griffiths
Date Deposited: 04 Sep 2017 09:52 UTC
Last Modified: 08 Dec 2022 21:42 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/63201 (The current URI for this page, for reference purposes)

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