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What goes in, must come out: Combining scat-based molecular diet analysis and quantification of ingested microplastics in a marine top predator

Figshare 2025 Score: 48 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
SE Nelms (14460933), HE Parry (21908834), KA Bennett (14236883), TS Galloway (15803111), BJ Godley (14460993), D Santillo (13431690), PK Lindeque (15803114)

Summary

Researchers developed a combined methodology using DNA metabarcoding of grey seal scat and microplastic isolation to study dietary exposure of marine top predators to microplastics via trophic transfer. The pipeline successfully identified prey species and quantified microplastics from the same scat samples, enabling linked dietary and contamination analysis.

Methods in Ecology and Evolution published by John Wiley & Sons Ltd on behalf of British Ecological Society Microplastics (plastic particles <5 mm in size) are highly available for ingestion by a wide range of organisms, either through direct consumption or indirectly, via trophic transfer, from prey to predator. The latter is a poorly understood, but potentially major, route of microplastic ingestion for marine top predators. We developed a novel and effective methodology pipeline to investigate dietary exposure of wild top predators (grey seals; Halichoerus grypus) to microplastics, by combining scat-based molecular techniques with a microplastic isolation method. We employed DNA metabarcoding, a rapid method of biodiversity assessment, to garner detailed information on prey composition from scats, and investigated the potential relationship between diet and microplastic burden. Outcomes of the method development process and results of both diet composition from metabarcoding analysis and detection of microplastics are presented. Importantly, the pipeline performed well and initial results suggest the frequency of microplastics detected in seal scats may be related to the type of prey consumed. Our non-invasive, data-rich approach maximizes time and resource–efficiency, while minimizing costs and sample volumes required for analysis. This pipeline could be used to underpin a much-needed increase in understanding of the relationship between diet composition and rates of microplastic ingestion in high trophic level species.

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