ArticlePloS one2013
From puffins to plankton: a DNA-based analysis of a seabird food chain in the northern Gulf of Maine.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed, 111 citations in OpenAlex.
- Advancing Seabird Diet Studies Through Buccal Swabbing for DNA Metabarcoding.Ecology and evolution · 2025Article
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- Diet composition of wild columbiform birds: next-generation sequencing of plant and metazoan DNA in faecal samples.Die Naturwissenschaften · 2023Article
- Otterly delicious: Spatiotemporal variation in the diet of a recovering population of Eurasian otters (Ecology and evolution · 2023Article
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- High-throughput sequencing reveals dietary segregation in Malaysian babblers.Current zoology · 2022Article
- Digging in a 120 years-old lunch: What can we learn from collection specimens of extinct species?PloS one · 2022Article
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- Fish as predators and prey: DNA-based assessment of their role in food webs.Journal of fish biology · 2021Review
- A real-time PCR assay to detect predation by spiny dogfish on Atlantic cod in the western North Atlantic Ocean.Ecology and evolution · 2020Article
- Characterizing niche differentiation among marine consumers with amino acid δEcology and evolution · 2020Article
- Bitter fruits of hard labour: diet metabarcoding and telemetry reveal that urban songbirds travel further for lower-quality food.Oecologia · 2020Article
- High-resolution molecular identification of smalltooth sawfish prey.Scientific reports · 2019Article
- Advancing the integration of multi-marker metabarcoding data in dietary analysis of trophic generalists.Molecular ecology resources · 2019Article
- Counting with DNA in metabarcoding studies: How should we convert sequence reads to dietary data?Molecular ecology · 2019Article
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- Long-term persistence of horse fecal DNA in the environment makes equids particularly good candidates for noninvasive sampling.Ecology and evolution · 2018Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The predator-prey interactions within food chains are used to both characterize and understand ecosystems. Conventional methods of constructing food chains from visual identification of prey in predator diet can suffer from poor taxonomic resolution, misidentification, and bias against small or completely digestible prey. Next-generation sequencing (NGS) technology has become a powerful tool for diet reconstruction through barcoding of DNA in stomach content or fecal samples. Here we use multi-locus (16S and CO1) next-generation sequencing of DNA barcodes on the feces of Atlantic puffin (Fratercula arctica) chicks (n=65) and adults (n=64) and the stomach contents of their main prey, Atlantic herring (Clupea harengus, n=44) to investigate a previously studied food chain. We compared conventional and molecular-derived chick diet, tested the similarity between the diets of puffin adults and chicks, and determined whether herring prey can be detected in puffin diet samples. There was high variability in the coverage of prey groups between 16S and CO1 markers. We identified more unique prey with our 16S compared to CO1 barcoding markers (51 and 39 taxa respectively) with only 12 taxa identified by both genes. We found no significant difference between the 16S-identified diets of puffin adults (n=17) and chicks (n=41). Our molecular method is more taxonomically resolved and detected chick prey at higher frequencies than conventional field observations. Many likely planktonic prey of herring were detected in feces from puffin adults and chicks, highlighting the impact secondary consumption may have on the interpretation of molecular dietary analysis. This study represents the first simultaneous molecular investigation into the diet of multiple components of a food chain and highlights the utility of a multi-locus approach to diet reconstruction that is broadly applicable to food web analysis.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.