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Environmental DNA sampling protocols for the surveillance of marine non-indigenous species in Irish coastal waters

Environmental DNA sampling protocols for the surveillance of marine non-indigenous species in Irish coastal waters
Environmental DNA sampling protocols for the surveillance of marine non-indigenous species in Irish coastal waters

Understanding the spread and distribution of Non-Indigenous Species (NIS) is key when implementing legislation to maintain good ecosystem health. Environmental DNA (eDNA) has shown great potential to detect aquatic organisms in a rapid and cost-effective way, however their applicability to new environments must be validated prior to their implementation. Here, we tested different field sampling methods in combination with eDNA metabarcoding to develop a tool to detect NIS. Large and small volumes of seawater were filtered, in addition to the collection of sediment and horizontal tow net samples at 12 locations across four distinct geographic areas in Ireland. The biggest dissimilarity in the species recovered was found between sediment and town net samples. Tow nets showed to be the most efficient. A total of 357 taxa were identified, including 16 NIS. Fine mesh tow nets were identified as the most cost-efficient for large-scale monitoring and surveillance of NIS.

COI, High throughput sequencing, Metabarcoding, Non-indigenous species, Rapid detection of species, eDNA
0025-326X
Fernandez, Sara
a5d3c819-8bc6-492d-bdf3-4c12cb7541d9
Miller, Dulaney L.
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Holman, Luke E.
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Gittenberger, Arjan
03c8cdc7-2554-4537-997f-f27f619da1b2
Ardura, Alba
6aea8313-076d-4d5c-a237-abf2e7c9a330
Rius, Marc
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Mirimin, Luca
ba6f72d8-a8a8-4812-8bf6-7c25923182ca
Fernandez, Sara
a5d3c819-8bc6-492d-bdf3-4c12cb7541d9
Miller, Dulaney L.
75e39d76-8b0d-438b-9048-9f4c7e4d0388
Holman, Luke E.
f5d1eebb-a91e-4b0e-883d-e6b3c8dc112b
Gittenberger, Arjan
03c8cdc7-2554-4537-997f-f27f619da1b2
Ardura, Alba
6aea8313-076d-4d5c-a237-abf2e7c9a330
Rius, Marc
c4e88345-4b4e-4428-b4b2-37229155f68d
Mirimin, Luca
ba6f72d8-a8a8-4812-8bf6-7c25923182ca

Fernandez, Sara, Miller, Dulaney L., Holman, Luke E., Gittenberger, Arjan, Ardura, Alba, Rius, Marc and Mirimin, Luca (2021) Environmental DNA sampling protocols for the surveillance of marine non-indigenous species in Irish coastal waters. Marine Pollution Bulletin, 172, [112893]. (doi:10.1016/j.marpolbul.2021.112893).

Record type: Article

Abstract

Understanding the spread and distribution of Non-Indigenous Species (NIS) is key when implementing legislation to maintain good ecosystem health. Environmental DNA (eDNA) has shown great potential to detect aquatic organisms in a rapid and cost-effective way, however their applicability to new environments must be validated prior to their implementation. Here, we tested different field sampling methods in combination with eDNA metabarcoding to develop a tool to detect NIS. Large and small volumes of seawater were filtered, in addition to the collection of sediment and horizontal tow net samples at 12 locations across four distinct geographic areas in Ireland. The biggest dissimilarity in the species recovered was found between sediment and town net samples. Tow nets showed to be the most efficient. A total of 357 taxa were identified, including 16 NIS. Fine mesh tow nets were identified as the most cost-efficient for large-scale monitoring and surveillance of NIS.

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Environmental DNA sampling protocols for the surveillance of marine non-indigenous species ... - Accepted Manuscript
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More information

Accepted/In Press date: 19 August 2021
e-pub ahead of print date: 28 August 2021
Published date: 1 November 2021
Keywords: COI, High throughput sequencing, Metabarcoding, Non-indigenous species, Rapid detection of species, eDNA

Identifiers

Local EPrints ID: 453310
URI: http://eprints.soton.ac.uk/id/eprint/453310
ISSN: 0025-326X
PURE UUID: 272708e1-3f7d-48f8-a55f-2d152ddf87fb

Catalogue record

Date deposited: 12 Jan 2022 17:40
Last modified: 17 Mar 2024 06:51

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Contributors

Author: Sara Fernandez
Author: Dulaney L. Miller
Author: Luke E. Holman
Author: Arjan Gittenberger
Author: Alba Ardura
Author: Marc Rius
Author: Luca Mirimin

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