ArticleEcology and evolution2016
18S rRNA V9 metabarcoding for diet characterization: a critical evaluation with two sympatric zooplanktivorous fish species.
Article in Ecology and evolution, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.
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Who cites it
30 citing papers in PubMed, 1 synthesis or guideline pooled it, 116 citations in OpenAlex.
- How quantitative is metabarcoding: A meta-analytical approach.Molecular ecology · 2019Pooled it
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- Refining Zooplankton Diet Composition Studies Over Short and Long Time Scales by Combining 18S Metabarcoding With Fatty Acid Analyses.Molecular ecology resources · 2025Article
- Seasonal Shifts of Morphological Traits and Dietary ofBiology · 2025Article
- Unveiling the trophic dynamics and ecological roles of demersal fish in Hong Kong: A metabarcoding and isotope analysis approach.PloS one · 2025Article
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- VESPA: an optimized protocol for accurate metabarcoding-based characterization of vertebrate eukaryotic endosymbiont and parasite assemblages.Nature communications · 2024Article
- Molecular Diet Analysis of Asian Clams for Supplementary Biodiversity Monitoring: A Case Study of Nakdong River Estuary.Biology · 2023Article
- DNA metabarcoding reveals the dietary profiles of a benthic marine crustacean, Nephrops norvegicus.PloS one · 2023Article
- Biological Microbial Interactions from Cooccurrence Networks in a High Mountain Lacustrine District.mSphere · 2022Article
- DNA metabarcoding suggests dietary niche partitioning in the Adriatic European hake.Scientific reports · 2022Article
- Molecular Diet Analysis of Adélie Penguins (Biology · 2022Article
- Effectiveness of blocking primers and a peptide nucleic acid (PNA) clamp for 18S metabarcoding dietary analysis of herbivorous fish.PloS one · 2022Article
- Metabarcoding analysis of trophic sources and linkages in the plankton community of the Kuroshio and neighboring waters.Scientific reports · 2021Article
- Biases in bulk: DNA metabarcoding of marine communities and the methodology involved.Molecular ecology · 2021Article
- eDNA metabarcoding of small plankton samples to detect fish larvae and their preys from Atlantic and Pacific waters.Scientific reports · 2021Article
- The crossover from microscopy to genes in marine diversity: from species to assemblages in marine pelagic copepods.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020Review
- A real-time PCR assay to detect predation by spiny dogfish on Atlantic cod in the western North Atlantic Ocean.Ecology and evolution · 2020Article
- Eukaryotic and cyanobacterial communities associated with marine snow particles in the oligotrophic Sargasso Sea.Scientific reports · 2019Article
- DNA metabarcoding assays reveal a diverse prey assemblage forEcology and evolution · 2019Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The potential of the 18S rRNA V9 metabarcoding approach for diet assessment was explored using MiSeq paired-end (PE; 2 × 150 bp) technology. To critically evaluate the method's performance with degraded/digested DNA, the diets of two zooplanktivorous fish species from the Bay of Biscay, European sardine (Sardina pilchardus) and European sprat (Sprattus sprattus), were analysed. The taxonomic resolution and quantitative potential of the 18S V9 metabarcoding was first assessed both in silico and with mock and field plankton samples. Our method was capable of discriminating species within the reference database in a reliable way providing there was at least one variable position in the 18S V9 region. Furthermore, it successfully discriminated diet between both fish species, including habitat and diel differences among sardines, overcoming some of the limitations of traditional visual-based diet analysis methods. The high sensitivity and semi-quantitative nature of the 18S V9 metabarcoding approach was supported by both visual microscopy and qPCR-based results. This molecular approach provides an alternative cost and time effective tool for food-web analysis.
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