Evaluating an Autonomous eDNA Sampler for Marine Environmental Monitoring: Short- and Long-Term Applications

Monitoring biological diversity is essential for monitoring ecosystem health and evaluating conservation efforts. Environmental DNA metabarcoding has emerged as a powerful, scalable, and minimally invasive tool for assessing biodiversity. In this study, we evaluate the performance of an autonomous eDNA sampling platform deployed over a nine-week period and compare it with a traditional filter-at-sample (F AS) sampling protocol. Our results show that the autonomous sampling platform consistently captures and preserves DNA with comparable effectiveness to conventional in-situ filtering and preservation at −80°C. Using two eDNA markers, we found that fish communities (12S marker) identified by both sampling methods largely overlapped, while invertebrate detections (COI marker) differed between methods, likely due to differences in filter specifications. These findings demonstrate that the autonomous samplers worked effectively in comparison to traditional methods, highlighting their potential to expand the temporal and spatial coverage of eDNA-based biodiversity monitoring. The ability of these samplers to facilitate long-term and continuous sampling in challenging environments shows promise for advancing eDNA applications in diverse and remote settings. Further research is needed to assess their performance in deeper waters and over extended periods, particularly to evaluate eDNA preservation at ambient ocean temperatures.

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Publication Details

Published
2024-09-23
DOI
https://doi.org/10.1109/oceans55160.2024.10753841
Citations
2
Primary Topic
Environmental DNA in Biodiversity Studies
Type
article
Field-Weighted Citation Impact
0.92

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article

Evaluating an Autonomous eDNA Sampler for Marine Environmental Monitoring: Short- and Long-Term Applications

Vincent J. Sieben, Julie LaRoche, Rute B. G. Clemente‐Carvalho, Arnold Furlong et al.
2 citations
Environmental DNA in Biodiversity Studies
0.92
article

Evaluating an Autonomous eDNA Sampler for Marine Environmental Monitoring: Short- and Long-Term Applications

Vincent J. Sieben, Julie LaRoche, Rute B. G. Clemente‐Carvalho, Arnold Furlong, Ryan R. E. Stanley, Mallory Van Wyngaarden, Robert G. Beiko, Andre Hendricks, Colin Sonnichsen, Harri Pettitt‐Wade, Iain Grundke, Nicholas W. Jeffery, Edward P. W. Horne, Matt Lemay, Tom Knox, Eddy Luy
article en
2 citations

Abstract

Monitoring biological diversity is essential for monitoring ecosystem health and evaluating conservation efforts. Environmental DNA metabarcoding has emerged as a powerful, scalable, and minimally invasive tool for assessing biodiversity. In this study, we evaluate the performance of an autonomous eDNA sampling platform deployed over a nine-week period and compare it with a traditional filter-at-sample (F AS) sampling protocol. Our results show that the autonomous sampling platform consistently captures and preserves DNA with comparable effectiveness to conventional in-situ filtering and preservation at −80°C. Using two eDNA markers, we found that fish communities (12S marker) identified by both sampling methods largely overlapped, while invertebrate detections (COI marker) differed between methods, likely due to differences in filter specifications. These findings demonstrate that the autonomous samplers worked effectively in comparison to traditional methods, highlighting their potential to expand the temporal and spatial coverage of eDNA-based biodiversity monitoring. The ability of these samplers to facilitate long-term and continuous sampling in challenging environments shows promise for advancing eDNA applications in diverse and remote settings. Further research is needed to assess their performance in deeper waters and over extended periods, particularly to evaluate eDNA preservation at ambient ocean temperatures.

Fisheries and Oceans Canada (CA), Bedford Institute of Oceanography (CA), Tula Foundation (CA), Hakai Institute
Tula Foundation
Life below water
Openalex Percentile: Top 21%
Environmental DNA in Biodiversity Studies
0.92
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