Freshwater mollusc community screening - Classical and eDNA monitoring methods to detect rare, indicator and invasive speciesShow others and affiliations
2025 (English)In: Science of the Total Environment, ISSN 0048-9697, E-ISSN 1879-1026, Vol. 958, article id 177763Article in journal (Refereed) Published
Abstract [en]
Freshwater habitats and their quality have always been of utmost importance for human subsistence. Water quality assessment is an important tool, covering biological, chemical and hydromorphological aspects. Bioindicators such as the bivalves can be used as evidence for good water quality, but widespread groups such as species of the family Sphaeriidae Deshayes,1855 (1822) and genus Pisidium/Euglesa/Odhneripidisium also known as ‘pea clams’ are poorly known and lack taxonomic expertise. The situation is similar for many other benthic macroinvertebrate species used in biomonitoring. In this study, we tested if pea clams can be detected using eDNA metabarcoding methods applied to sediment and plankton samples from 15 lakes and rivers in Sweden. Additionally, we detected benthic macroinvertebrates, so-called indicator species used in freshwater monitoring, as well as rare or red-listed and invasive species. We created a COI reference barcode library of 22 species of Swedish freshwater molluscs, of which one species is new, and five species have less than five records on NCBI and BOLD. From 272 sediment and plankton samples, we detected 497 benthic macroinvertebrate indicator species, 20 mollusc species and 3 invasive species in 15 freshwater environments in Sweden using eDNA metabarcoding. We show that one of the sediment sampling methods (M42) can detect slightly more species in autumn compared to the plankton or sediment kick-net methods, or to collecting samples in spring. A clear advantage is that biological water quality indices formerly calculated using taxa identified to the family level can now be calculated using the species level, giving higher precision. We suggest that future freshwater monitoring efforts can be greatly improved and sped up through large-scale and strategic habitat screening using barcoding and metabarcoding methods to support decision-making and help fulfill the goals of the UN 2030 Agenda.
Place, publisher, year, edition, pages
Elsevier, 2025. Vol. 958, article id 177763
National Category
Ecology
Research subject
Ecological Modelling Group
Identifiers
URN: urn:nbn:se:his:diva-24771DOI: 10.1016/j.scitotenv.2024.177763PubMedID: 39644641Scopus ID: 2-s2.0-85211079026OAI: oai:DiVA.org:his-24771DiVA, id: diva2:1919291
Part of project
End biodiversity loss through improved tracking of threatened invertebrates, Swedish Research Council Formas
Funder
Swedish Research Council Formas
Note
CC BY 4.0
Corresponding author: E-mail address: Sonja.Leidenberger@his.se (S. Leidenberger).
This study was financed by the Swedish research council for sustainable development FORMAS End biodiversity loss through improved tracking of threatened invertebrates (grant nr. 2018-01003, 2019-2023). We want to thank U. Bjelke, Swedish Species Information Centre, SLU, Sweden for different information about freshwater monitoring in Sweden. We thank A. Jonsson, University of Skövde, Sweden, for assistance during field sampling. We thank B. Nümann, A. Scherges, L. von der Mark and C. Etzbauer, LIB Museum Koenig, Bonn, Germany, for assistance in the molecular lab. We thank T. von Proschwitz of Gothenburg Natural History Museum, Sweden for bivalve reference material from the museum, help with the storage of our material and insider knowledge about this special bivalve group. The manuscript was improved by the comments of two unknown reviewers.
2024-12-092024-12-092025-09-29Bibliographically approved