ArticleScientific reports2022
Quantitative environmental DNA metabarcoding shows high potential as a novel approach to quantitatively assess fish community.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed.
- Substrate-Dependent Variation in Environmental DNA Persistence and Degradation From a Small Mammal.Molecular ecology resources · 2026Article
- Trait-Based Biomonitoring Using eDNA Metabarcoding to Assess Anthropogenic Disturbances on Freshwater Fish Communities.Molecular ecology resources · 2026Article
- Development of a Duplex Digital PCR and Validation on eDNA Water Samples for Monitoring of the Asian Swamp Eel (Ecology and evolution · 2026Article
- Biomonitoring in the Anthropocene: Urban estuary environmental DNA tracks marine fish, terrestrial wildlife, and human diet.PloS one · 2026Article
- Identification of toxic plants from poisonous samples using massively parallel sequencing.Forensic toxicology · 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
- Experimental assessment of Acanthopagrus schlegelii biomass based on environmental DNA technology.Scientific reports · 2024Article
- eDNA metabarcoding reveals differences in fish diversity and community structure in Danjiang River.Scientific reports · 2024Article
- Article
- Extracting abundance information from DNA-based data.Molecular ecology resources · 2023Review
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7 authors.
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Abstract
The simultaneous conservation of species richness and evenness is important to effectively reduce biodiversity loss and keep ecosystem health. Environmental DNA (eDNA) metabarcoding has been used as a powerful tool for identifying community composition, but it does not necessarily provide quantitative information due to several methodological limitations. Thus, the quantification of eDNA through metabarcoding is an important frontier of eDNA-based biomonitoring. Particularly, the qMiSeq approach has recently been developed as a quantitative metabarcoding method and has attracted much attention due to its usefulness. The aim here was to evaluate the performance of the qMiSeq approach as a quantitative monitoring tool for fish communities by comparing the quantified eDNA concentrations with the results of fish capture surveys. The eDNA water sampling and the capture surveys using the electrical shocker were conducted at a total of 21 sites in four rivers in Japan. As a result, we found significant positive relationships between the eDNA concentrations of each species quantified by qMiSeq and both the abundance and biomass of each captured taxon at each site. Furthermore, for seven out of eleven taxa, a significant positive relationship was observed between quantified DNA concentrations by sample and the abundance and/or biomass. In total, our results demonstrated that eDNA metabarcoding with the qMiSeq approach is a suitable and useful tool for quantitative monitoring of fish communities. Due to the simplicity of the eDNA analysis, the eDNA metabarcoding with qMiSeq approach would promote further growth of quantitative monitoring of biodiversity.
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