Data for Freshwater mollusc community screening - classical and eDNA monitoring to detect rare, indicator and invasive species
https://doi.org/10.5878/68mj-8k45
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).
Download data and documentation (12 files / 1.42 MiB)
Data files
Data files
- SupplementaryTable2_SequencesBarcodeTree.docx35.61 KiB
- SupplementaryTable3_Morphological_Records_FM_240829b.xlsx40.44 KiB
- SupplementaryTable4A_List_InvasiveSpecies.docx14.92 KiB
- SupplementaryTable4B__Results_InvasiveSpecies_Metabarcoding.xlsx12.83 KiB
- SupplementaryTable5B_Indicator_list_NCBI_BOLD.DataFootprint.xlsx161.97 KiB
- SupplementaryTable5C_Results_IndicatorSpecies_Metabarcoding.xlsx296.24 KiB
Documentation files
Documentation files
- ReadmeFileDataSetFreshwaterMolluscCommunityScreening.pdf182.65 KiB
Citation and access
Citation and access
Data access level:
Creator/Principal investigator(s):
- Vollrath Wiese – House of Nature - Cismar, Germany
- 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
Research principal:
Principal's reference number:
- FP2018/20
Data contains personal data:
No
Citation:
Language:
Method and outcome
Method and outcome
Time period(s) investigated:
Data format/data structure:
Species and taxons:
Samples/material - Collected from scientific collection/biobank
Samples/material - Collected from scientific collection/biobank
Name:
Göteborgs Naturhistoriska Museum
Type(s) of sample:
Tissuce samples from barcodes individutal and voucher material that were collected (freshwater molluscs)
Data collection - Field/Intervention experiment
Data collection - Field/Intervention experiment
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
Opens a new window at ror.org.
ROR
Geographic coverage
Geographic coverage
Geographic location:
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
Administrative information
Responsible department/unit:
School of Bioscience
Funding
Funding
Funding agency:
Award number:
2018-01003_Formas
Award title:
End biodiversity loss through improved tracking of threatened invertebrates
Topic and keywords
Topic and keywords
Swedish Standard Classification of Research Subjects 2025:
INSPIRE topic categories:
Relations
Relations
Publications
Publications
Citation:
Authors: Sonja Leidenberger, Vollrath Wiese, Finja Schaumann, Felix Pleiss, Kathrin Langen, Sarah J. Bourlat
Journal: Science of the Total Environment
accepted
