ArticleScientific reports2019
Monitoring spawning migrations of potamodromous fish species via eDNA.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Improving Inference from Reported Concentrations in Environmental Surveillance by Modeling the Statistical Features of Digital PCR.ACS ES&T water · 2026Article
- Lessons learned from applying eDNA surveying to diadromous fish detection across the Northeast Atlantic region.Journal of fish biology · 2026Article
- Haplotype-level analysis of environmental DNA metabarcoding revealed the biogeography and phylogeography of freshwater fishes in Korean Peninsula.Scientific reports · 2026Article
- Harnessing eDNA technology to identify fish diversity and distribution in the Kashi River, a tributary of the Ili River, Xinjiang, China.Scientific reports · 2025Article
- The Long and the Short of It: Nanopore-Based eDNA Metabarcoding of Marine Vertebrates Works; Sensitivity and Species-Level Assignment Depend on Amplicon Lengths.Molecular ecology resources · 2025Article
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- Assessing the breeding phenology of a threatened frog species using eDNA and automatic acoustic monitoring.PeerJ · 2023Article
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- Monitoring of spatiotemporal occupancy patterns of fish and amphibian species in a lentic aquatic system using environmental DNA.Molecular ecology · 2021Article
- Fish as predators and prey: DNA-based assessment of their role in food webs.Journal of fish biology · 2021Review
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Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Potamodromous fish are considered important indicators of habitat connectivity in freshwater ecosystems, but they are globally threatened by anthropogenic impacts. Hence, non-invasive techniques are necessary for monitoring during spawning migrations. The use of environmental DNA (eDNA) potentially facilitates these efforts, albeit quantitative examinations of spawning migrations remain so far mostly uncharted. Here, we investigated spawning migrations of Danube bleak, Alburnus mento, and Vimba bream, Vimba vimba, and found a strong correlation between daily visual fish counts and downstream eDNA signals obtained from filtered water samples analysed with digital PCR and end-point PCR coupled with capillary electrophoresis. By accounting for daily discharge fluctuations, it was possible to predict eDNA signal strength from the number of migrating fish: first, the whole spawning reach was taken into account. Second, the model was validated using eDNA signals and fish counts obtained from the upper half of the examined river stretch. Consequently, fish counts and their day-to-day changes could be described via an eDNA-based time series model for the whole migration period. Our findings highlight the capability of eDNA beyond delivering simple presence/absence data towards efficient and informative monitoring of highly dynamic aquatic processes such as spawning migrations of potamodromous fish species.
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