Felix Pleiss - University of Skövde, Swerden and Museum Koenig Bonn, Germany, School of Bioscience/Sweden, Leibnitz Institute for the Analysis of Biodiversity Change/Germany

Kathrin Langen - Museum Koenig, Bonn, Germany, Leibnitz Institute for the Analysis of Biodiversity Change/Germany

Sonja Leidenberger - University of Skövde

Vollrath Wiese - House of Nature - Cismar, Germany

Finja Schaumann - University of Skövde, School of Bioscience

Felix Pleiss - University of Skövde, Swerden and Museum Koenig Bonn, Germany, School of Bioscience/Sweden, Leibnitz Institute for the Analysis of Biodiversity Change/Germany

Kathrin Langen - Museum Koenig, Bonn, Germany, Leibnitz Institute for the Analysis of Biodiversity Change/Germany

Sarah J. Bourlat - Museum Koenig, Bonn, Germany, Leibnitz Institute for the Analysis of Biodiversity Change/Germany

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Research principal

University of Skövde - School of Bioscience

Principal's reference number

FP2018/20

Description

The data belongs to the study Freshwater mollusc community screening - classical and eDNA monitoring methods to detect rare, indicator and invasive species. Tables and figures represent in detail the sample localities of 15 Swedish lakes and rivers. The study was focusing on Plankton samples and two kind of sediment samples (Kick-net and M42 method) at two sampling times (spring and autumn). Species were found through a) classical morphological studies where freshwater molluscs were determined by hand with a stereoscopic microscope; b) with barcoding by the cytochrome c oxidase subunit I (COI) gene and c) through eDNA metabarcoding analysis (Illumina sequencing). The main focus was on pea clams, but even other benthic freshwater molluscs and organisms could be detected.
COI barcode data were analyzed for a Barcode Tree with MEGA version 11.0.13 (https://www.megasoftware.net/) (Stecher et al., 2020). Metabarcoding data were analyzed with the Apscale pipeline (https://github.com/DominikBuchner/apscale, Buchner et al., 2022).

Data contains personal data

Language

English

Method and outcome

Time period(s) investigated

2019-09 – 2021-07

Biobank is connected to the study

The study has collected samples/material which are stored in a scientific collection or biobank

Scientific collection or biobank name: Göteborgs Naturhistoriska Museum

Type(s) of sample: Tissuce samples from barcodes individutal and voucher material that were collected (freshwater molluscs)

Data format / data structure

Numeric

Text

Geospatial

Species and taxons

Sphaeriidae
Pisidium
Veneroida
Bivalves
Euglesa
Odhneripisidium

Data collection

Mode of collection: Field/Intervention experiment
Description of the mode of collection:
The material was collected by using three different methods along a 50 m line transect at each aquatic habitat:
1) Plankton net: zooplankton net, 200 um size, drawn in a semi-circle at 0, 25 and 50 meters
2) Kick net: Wildcon D net, 500 um, vertical in front of the collector's feet, at 0, 25 and 50 meters
3) Swedish M42 method for monitoring bottom fauna in lakes' littorals and rivers - independent selection Version 1:2, 2016-11-01 (Swedish Agency for Marine and Water Management), with 30 sub-samples along the transect.

The samples were stored in a 500ml LDPE bottle (VWR) filled with 96% ethanol in a cool box in field and then transferred to a -20°C freezer in the lab until DNA extraction was carried out.
Time period(s) for data collection: 2019-09 – 2021-07
Data collector: University of Skövde

Geographic coverage

Geographic spread

Geographic location: Sweden

Geographic description: Lakes and rivers in Sweden - region Norrbotten (Öst-Kieratj, Harrijåkkå, Aborrträsket), Bohuslän (Aröds å, Bodeleån, Risån, Nedre Bäveån, Stora Skarsjön, Ivarsbosjön, Stora Tokevattnet, Restevattnet), Skaraborg (Flämsjön, Stora Bjursjön, Vristulven, Östen)

Administrative information

Responsible department/unit

School of Bioscience

Funding

Funding agency: Formas
Funding agency's reference number: 2018-01003_Formas
Project name on the application: End biodiversity loss through improved tracking of threatened invertebrates

Topic and keywords

Research area

Biological sciences (Standard för svensk indelning av forskningsämnen 2011)

Biochemistry and molecular biology (Standard för svensk indelning av forskningsämnen 2011)

Zoology (Standard för svensk indelning av forskningsämnen 2011)

Ecology (Standard för svensk indelning av forskningsämnen 2011)

Biota (INSPIRE topic categories)

Keywords

Freshwater ecosystems, Bio-geographical regions, Habitats and biotopes, Species distribution, Benthic macroinvertebrates, Edna metabarcoding, Pea clams, Sweden, Rare species, Invasive species, Freshwater bivalves, Indicator species, Freshwater monitoring, Barcoding

Publications

Authors: Sonja Leidenberger, Vollrath Wiese, Finja Schaumann, Felix Pleiss, Kathrin Langen, Sarah J. Bourlat
Journal: Science of the Total Environment

accepted
DOI: https://doi.org/10.1016/j.scitotenv.2024.177763

If you have published anything based on these data, please notify us with a reference to your publication(s). If you are responsible for the catalogue entry, you can update the metadata/data description in DORIS.

Published: 2024-12-10