ArticleMolecular ecology resources2019
Advancing the integration of multi-marker metabarcoding data in dietary analysis of trophic generalists.
Article in Molecular ecology resources, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.
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Who cites it
44 citing papers in PubMed.
- Dual-Locus Metabarcoding Reveals Dry-Season Dietary Differentiation Between Elephants and Impalas in a South African Savanna.Ecology and evolution · 2026Article
- Urbanization Shapes Dietary Composition and Snout Morphology of Salamanders.Molecular ecology · 2026Article
- The shared performance of different COI regions increases the niche breadth detectable from bat guano eDNA.Genetics and molecular biology · 2026Article
- Characterization of the OmnivorousEcology and evolution · 2026Article
- Dietary DNA Metabarcoding From Animal Fecal Samples.Current protocols · 2026Article
- Evaluating the Quantitative Accuracy and Application of DNA Metabarcoding for Dietary Reconstruction in Ruminants.Ecology and evolution · 2026Article
- Refining Zooplankton Diet Composition Studies Over Short and Long Time Scales by Combining 18S Metabarcoding With Fatty Acid Analyses.Molecular ecology resources · 2025Article
- Mock Plant Communities and a Large Mammal Case Study Reveal ITS2 Primer Bias Against Graminoids.Ecology and evolution · 2025Article
- Threatened endemic arthropods and vertebrates partition their diets with non-native ants in an isolated island ecosystem.Ecology · 2025Article
- A Long-Term Ecological Research Data Set From the Marine Genetic Monitoring Program ARMS-MBON 2018-2020.Molecular ecology resources · 2025Article
- The InBIO Barcoding Initiative Database: contribution to the knowledge of DNA barcodes of the vascular plants of north-eastern Portugal.Biodiversity data journal · 2025Article
- The impact of wildfires on the diet of Podarcis lusitanicus revealed by DNA metabarcoding.PloS one · 2025Article
- Black-throated blue warblers (Ecology and evolution · 2024Article
- Decoding Seafood: Multi-Marker Metabarcoding for Authenticating Processed Seafood.Foods (Basel, Switzerland) · 2024Article
- Metabarcoding analysis provides insight into the link between prey and plant intake in a large alpine cat carnivore, the snow leopard.Royal Society open science · 2024Article
- Is the diet cyclic phase-dependent in boreal vole populations?Ecology and evolution · 2024Article
- Spatio-temporal variation of the endangered Dupont's Lark diet across Iberia and Morocco.PloS one · 2024Article
- All-you-can-eat buffet: A spider-specialized bat species (Myotis emarginatus) turns into a pest fly eater around cattle.PloS one · 2024Article
- Exploring and validating observations of non-local species in eDNA samples.Ecology and evolution · 2023Article
- DNA metabarcoding the diet ofCurrent zoology · 2023Article
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Authors and funding
7 authors.
Funding
Abstract
The application of DNA metabarcoding to dietary analysis of trophic generalists requires using multiple markers in order to overcome problems of primer specificity and bias. However, limited attention has been given to the integration of information from multiple markers, particularly when they partly overlap in the taxa amplified, and vary in taxonomic resolution and biases. Here, we test the use of a mix of universal and specific markers, provide criteria to integrate multi-marker metabarcoding data and a python script to implement such criteria and produce a single list of taxa ingested per sample. We then compare the results of dietary analysis based on morphological methods, single markers, and the proposed combination of multiple markers. The study was based on the analysis of 115 faeces from a small passerine, the Black Wheatears (Oenanthe leucura). Morphological analysis detected far fewer plant taxa (12) than either a universal 18S marker (57) or the plant trnL marker (124). This may partly reflect the detection of secondary ingestion by molecular methods. Morphological identification also detected far fewer taxa (23) than when using 18S (91) or the arthropod markers IN16STK (244) and ZBJ (231), though each method missed or underestimated some prey items. Integration of multi-marker data provided far more detailed dietary information than any single marker and estimated higher frequencies of occurrence of all taxa. Overall, our results show the value of integrating data from multiple, taxonomically overlapping markers in an example dietary data set.
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