ArticleScientific reports2023
Mock community experiments can inform on the reliability of eDNA metabarcoding data: a case study on marine phytoplankton.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Transforming gastrointestinal helminth parasite identification in vertebrate hosts with metabarcoding: a systematic review.Parasites & vectors · 2024Pooled it
- Unravelling Bulk Ichthyoplankton Diversity in Vietnam: Metabarcoding Validation With Controlled Mock Samples.Molecular ecology resources · 2026Article
- Quantitative evaluation of microbiome sequencing resolution under varying experimental conditions using defined mock communities.Scientific reports · 2026Article
- Phytoplankton Diversity in the Northern Adriatic Sea: Insights and Inconsistencies from Microscopy and Metabarcoding.Biology · 2026Article
- Ecological Processes Shaping Marine Microbial Assemblages Diverge Between Equatorial and Temperate Time-Series.Molecular ecology · 2026Article
- A New Unsupervised Machine Learning Method for Metabarcoding Analysis Based on Selected Mock Community Data.Computational and structural biotechnology journal · 2026Article
- Patagonian Fjords/Channels vs. Open Ocean: Phytoplankton Molecular Diversity on Southern Chilean Coast.Microorganisms · 2025Article
- Morphological and Molecular Diversity of Phytoplankton in Beibu Gulf, Northern South China Sea.Ecology and evolution · 2025Article
- eDNA metabarcoding reveals differences in fish diversity and community structure in Danjiang River.Scientific reports · 2024Article
- A full-length 18S ribosomal DNA metabarcoding approach for determining protist community diversity using Nanopore sequencing.Ecology and evolution · 2024Article
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7 authors.
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Abstract
Environmental DNA metabarcoding is increasingly implemented in biodiversity monitoring, including phytoplankton studies. Using 21 mock communities composed of seven unicellular diatom and dinoflagellate algae, assembled with different composition and abundance by controlling the number of cells, we tested the accuracy of an eDNA metabarcoding protocol in reconstructing patterns of alpha and beta diversity. This approach allowed us to directly evaluate both qualitative and quantitative metabarcoding estimates. Our results showed non-negligible rates (17-25%) of false negatives (i.e., failure to detect a taxon in a community where it was included), for three taxa. This led to a statistically significant underestimation of metabarcoding-derived alpha diversity (Wilcoxon p = 0.02), with the detected species richness being lower than expected (based on cell numbers) in 8/21 mock communities. Considering beta diversity, the correlation between metabarcoding-derived and expected community dissimilarities was significant but not strong (R
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