Document of dataset 6684

Dataset record

Type

Dataset

title in English

GEANS NIS pilot - 2020 DNA-based benthic and planktonic species monitoring by SeAnalytics

Acronym

NIS SE

Description in English

The settling panel study followed the protocols for monitoring of hard bottom organisms as set up in the international ARMS (Autonomous Reef Monitoring Structures) project (Leray & Knowlton, 2015; Obst et al. 2020). A total of 16 ARMS settling panels were deployed during the winter and spring months and were submerged between 3–4 months before taken up for further processing and analysis. Plankton samples were taken from six of these sites, on three different occasions, and two samples from each site / each occasion. DNA was extracted from the settling panels and plankton and metabarcoding libraries prepared for three molecular markers (COI, 18S, ITS), together with positive and negative controls, altogether 284 libraries. Thirty-four NIS were recorded, of which fourteen are classified as invasive alien species (IAS) nationally and on the list of Invasive Alien Species of Union concern. The remaining 20 NIS are listed on the Aqua-NIS list and need to be further investigated for their alien and invasive status in the country. The tested methods perform well both for early detection of unknown NIS as well as for regular monitoring of already known NIS. The chosen markers COI and 18S performed well, while ITS did not produce sufficient species observations and can be omitted as a marker gene.

Abstract in English

The University of Gothenburg has, on behalf of the Swedish Agency for Marine and Water Management and in collaboration with SeAnalytics AB, carried out two pilot studies to investigate whether plankton samples and settling panels in combination with DNA-based species identification is an effective method for early detection and continuous monitoring of non-indigenous species (NIS). The surveys were conducted during the winter, spring and summer of 2020 at various locations along the Swedish west coast, from the fjord Brofjorden in the north to Helsingborg in the south. The sites were chosen based on previous modelling (Bergkvist et al. 2020a) of introduction hotspots for alien species.

Contactpoint

Email

matthias.obst@seanalytics.se

License

https://spdx.org/licenses/CC-BY-4.0.html

bibliographicCitation

Sundberg P, Axberg A, Daragmeh N, Panova M, Obst M (2022) Genomics-based methods in environmental monitoring - Identification and detection of alien invasive species based on DNA. Report to the Swedish Agency for Marine and Water Management (SwAM / HaV). Report nr 2022:01. SeAnalytics AB.