18S Metabarcoding Genetic Observations of Marine Species in the Port of Wallhamn, Sweden (2022)

Data Records

The data in this occurrence resource has been published as a Darwin Core Archive (DwC-A), which is a standardized format for sharing biodiversity data as a set of one or more data tables. The core data table contains 8,639 records.

1 extension data tables also exist. An extension record supplies extra information about a core record. The number of records in each extension data table is illustrated below.

This IPT archives the data and thus serves as the data repository. The data and resource metadata are available for download in the downloads section. The versions table lists other versions of the resource that have been made publicly available and allows tracking changes made to the resource over time.

Versions

The table below shows only published versions of the resource that are publicly accessible.

How to cite

Researchers should cite this work as follows:

Obst M (2024). 18S Metabarcoding Genetic Observations of Marine Species in the Port of Wallhamn, Sweden (2022). Version 1.3. University of Gothenburg. Occurrence dataset. https://www.gbif.se/ipt/resource?r=gu-2022-wallhamn-18s&v=1.3

Rights

Researchers should respect the following rights statement:

The publisher and rights holder of this work is University of Gothenburg. This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.

GBIF Registration

This resource has been registered with GBIF, and assigned the following GBIF UUID: 456b2a82-cc89-4b68-9656-f67252d11b0a.  University of Gothenburg publishes this resource, and is itself registered in GBIF as a data publisher endorsed by GBIF Sweden.

Keywords

Occurrence; Observation

Contacts

Geographic Coverage

This dataset covers the port of Wallhamn (Sweden) which has both a commercial/industrial part in the North and a marina in the South.

Taxonomic Coverage

N/A

Temporal Coverage

Project Data

A comparison between eRAS (extended rapid assessment) and DNA-based identification of native and invasive species has been performed based on sampling in the port of Wallhamn. Wallhamn has been chosen out of five harbours (Strömstad, Smögen, Kungshamn, Oxelösund, Wallhamn) based on its proximity to Gothenburg and the fact that it is an established harbour with a large number of ships calling every year.

Sampling Methods

Artificial habitats are plastic trays filled with pottery shards, a weight at the bottom to hold the trays down and a net above to keep the shards in place. On two sides, larger holes were cut to allow fish to move freely in and out of the habitat Plankton samples were taken as vertical hauls from the bottom (5-10 m) up to the surface with a 90 µm plankton bucket. The samples were fixed in 95% ethanol directly in place with an amount of alcohol that was judged to result in a sample with at least 70% ethanol. Upon return to the lab, the plankton samples were decanted and new alcohol was added to ensure that the ethanol content was sufficiently high. The samples were then stored in a freezer (-20°C) until extraction. Water samples for eDNA were taken with Ruttner retrievers at slightly different depths on the premises and pooled in a 1 litre vessel. Water was filtered on site and fixed with 95% ethanol.The filters were stored in a freezer (-20°C) until extraction.

Method step description:

1. DNA was extracted from the filters with the Nucleospin eDNA water kit (Macherey-Nagel) using the Nagel) using the technique and standard developed in the laboratory. Concentration of DNA in the extracts was measured with the Qubit® fluorometer. Note that this measures concentration of all DNA in the sample and not specific DNA from the target species. This is done to ensure that the extractions have worked.
2. The genetic analysis and comparison was based on two molecular markers (COI and 18S). These markers were amplified for each sample. Same PCR protocols were used for metabarcoding of the ARMS, eDNA and plankton samples The DNA libraries were sequenced with Illumina MiSeq, 2 x 300 bp.
3. The analysis was performed in the R-environment with a DADA2 package. After initial quality control, the sequences were filtered for low quality, as well as adapters and primers were removed. Sequencing errors were corrected by calculating an error model; and after that singletons and chimeras were removed using the “pseudo-pooling” function in DADA2.
4. The filtered and quality-controlled COI sequences were matched against the BOLD database with the python package BOLDigger. The 18S sequences were matched against the PR2 database. All subsequent analysis was performed with customized R scripts where identified species were matched against different NIS and IAS species reference lists.

Additional Metadata