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Compact and automated eDNA sampler for in situ monitoring of marine environments
Hendricks, A.; Mackie, C.M.; Luy, E.; Sonnichsen, C.; Smith, J.; Grundke, I.; Tavasoli, M.; Furlong, A.; Beiko, R.G.; LaRoche, J.; Sieben, V. (2023). Compact and automated eDNA sampler for in situ monitoring of marine environments. NPG Scientific Reports 13(1): 5210. https://dx.doi.org/10.1038/s41598-023-32310-3
In: Scientific Reports (Nature Publishing Group). Nature Publishing Group: London. ISSN 2045-2322; e-ISSN 2045-2322
Peer reviewed article  
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  • Hendricks, A.
  • Mackie, C.M.
  • Luy, E.
  • Sonnichsen, C.
  • Smith, J.
  • Grundke, I.
  • Tavasoli, M.
  • Furlong, A.
  • Beiko, R.G.
  • LaRoche, J.
  • Sieben, V.
Abstract
    Using environmental DNA (eDNA) to monitor biodiversity in aquatic environments is becoming an efficient and cost-effective alternative to other methods such as visual and acoustic identification. Until recently, eDNA sampling was accomplished primarily through manual sampling methods; however, with technological advances, automated samplers are being developed to make sampling easier and more accessible. This paper describes a new eDNA sampler capable of self-cleaning and multi-sample capture and preservation, all within a single unit capable of being deployed by a single person. The first in-field test of this sampler took place in the Bedford Basin, Nova Scotia, Canada alongside parallel samples taken using the typical Niskin bottle collection and post-collection filtration method. Both methods were able to capture the same aquatic microbial community and counts of representative DNA sequences were well correlated between methods with R2 values ranging from 0.71–0.93. The two collection methods returned the same top 10 families in near identical relative abundance, demonstrating that the sampler was able to capture the same community composition of common microbes as the Niskin. The presented eDNA sampler provides a robust alternative to manual sampling methods, is amenable to autonomous vehicle payload constraints, and will facilitate persistent monitoring of remote and inaccessible sites.
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