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 – Haus der Natur - Cismar, Tyskland
- Felix Pleiss – Högskolan i Skövde, Sverige och Museum Koenig, Bonn, Tyskland - Institutione för Biovetenskap/Skövde, Leibnitz Institut för Analyser av Biodiversitetsförändringar/Tyskland
- Kathrin Langen – Museum Koenig, Bonn, Tyskland - Leibnitz Institut för Analyser av Biodiversitetsförändringar/Tyskland
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 - Fältexperiment
Data collection - Fältexperiment
Mode of collection:
Fältexperiment
Description of the mode of collection:
Materialet samlades in med hjälp av tre olika metoder längs med en 50 m linjetransekt vid varje vattendrag:
1) Plankton nät: zooplankton nät, 200 um storlek, dragen i en halv cirkel vid 0, 25 och 50 meter
2) Kick-nät: Wildcon D-nät, 500 um, vertikal framför insamlares fötter, vid 0, 25 och 50 meter
3) Svensk M42 metoden för övervakning av Bottenfauna i sjöars littoral och vattendrag - oberoende urval Version 1:2, 2016-11-01 (Havs- och Vattenmyndigheten), med 30 delprover längs med transeketen.
Proverna förvarades i en 500ml LDPE flaskan (VWR) med 96% etanol i en kylbox i fält och sen förvarat i en -20 °C frys i labbet tills DNA extraktion genomfördes.
Time period(s) for data collection:
2019-09 - 2021-07
Data collector:
- Högskolan i Skövde
Öppnar nytt fönster hos 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:
Stoppa biodiversitetsförlusten genom förbättrad spårning av hotade evertebrater
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
