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A noninvasive eDNA tool for detecting sea lamprey larvae in river sediments: Analytical validation and field testing in a low-abundance ecosystem.

Baltazar-Soares, M., Pinder, A. C., Harrison, A., Oliver, W., Picken, J., Britton, J.R. and Andreou, D., 2022. A noninvasive eDNA tool for detecting sea lamprey larvae in river sediments: Analytical validation and field testing in a low-abundance ecosystem. Journal of Fish Biology. (In Press)

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DOI: 10.1111/jfb.15056

Abstract

Anthropogenic activities are increasingly threatening aquatic biodiversity, especially anadromous species. Monitoring and conservation measures are thus required to protect, maintain and restore imperilled populations. While many species can be surveyed using traditional capture and visual census techniques, species that use riverine habitats in a less conspicuous manner, such as sea lamprey Petromyzon marinus, can be more challenging to monitor. Sea lamprey larvae (ammocoetes) can spend several years in freshwater burrowed within soft sediments, inhibiting their detection and assessment. Here, we present a qPCR assay based on the detection of environmental DNA (eDNA) to identify the presence of ammocoetes burrowed in the sediment. We present an extensively validated method that ensured both species-specificity of the assay as well as the capacity to detect ammocoetes when abundances are low. Experiments on burrowing activity suggested that most of the DNA released into the sediment occurs during burrowing. Overall, we demonstrate this new molecular-based tool is an efficient and effective complement to traditional monitoring activities targeting larval stages of sea lampreys.

Item Type:Article
ISSN:0022-1112
Additional Information:Funding information This work was supported by a MSCA-IF (ADAPTATION) attributed to MBS. MBS is presently supported by the FCT strategic project UID/MAR/04292/2013 granted to MARE
Uncontrolled Keywords:biological conservation;environmental DNA;freshwater ecology;monitoring;sea lamprey
Group:Faculty of Science & Technology
ID Code:36882
Deposited By: Symplectic RT2
Deposited On:27 Apr 2022 07:42
Last Modified:27 Apr 2022 07:42

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