ArticleScientific reports2021
Monitoring fish communities through environmental DNA metabarcoding in the fish pass system of the second largest hydropower plant in the world.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 14 citations in OpenAlex.
- Habitat-Associated Variation in Dietary Composition, Gut Microbiota, and Muscle Nutritional Characteristics ofAnimals : an open access journal from MDPI · 2026Article
- From individuals to communities: How genomics is transforming biodiversity conservation.Genetics and molecular biology · 2026Article
- Environmental DNA as a tool for hydropower impact assessments: current status, special considerations, and future integration.Biological reviews of the Cambridge Philosophical Society · 2025Review
- Article
- Comparison Between Environmental DNA Metabarcoding and Traditional Survey Method to Identify Community Composition and Assembly of Stream Fish.Ecology and evolution · 2024Article
- Improving the efficiency of adaptive management methods in multiple fishways using environmental DNA.PloS one · 2024Article
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Authors and funding
11 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Itaipu Hydroelectric Power Plant is the second largest in the world in power generation. The artificial barrier created by its dam imposes an obstacle for fish migration. Thus, in 2002, a fish pass system, named Piracema Channel, was built to allow fish to access areas upstream of the reservoir. We tested the potential of environmental DNA metabarcoding to monitor the impact of both the dam and associated fish pass system in the Paraná River fish communities and to compare it with traditional monitoring methods. Using a fragment of the 12S gene, we characterized richness and community composition based on amplicon sequence variants, operational taxonomic units, and zero-radius OTUs. We combined GenBank and in-house data for taxonomic assignment. We found that different bioinformatics approaches showed similar results. Also, we found a decrease in fish diversity from 2019 to 2020 probably due to the recent extreme drought experienced in southeastern Brazil. The highest alpha diversity was recorded in the mouth of the fish pass system, located in a protected valley with the highest environmental heterogeneity. Despite the clear indication that the reference databases need to be continuously improved, our results demonstrate the analytical efficiency of the metabarcoding to monitor fish species.
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