eDNA metabarcoding for biodiversity assessment, generalist predators as sampling assistants
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https://hdl.handle.net/10037/22498Date
2021-03-25Type
Journal articleTidsskriftartikkel
Peer reviewed
Author
Nørgaard, Louise; Olesen, Carsten Riis; Trøjelsgaard, Kristian; Pertoldi, Cino; Nielsen, Jeppe Lund; Taberlet, Pierre Robert Michel; Ruiz-Gonzalez, Aritz; De Barba, M.; Iacolina, LauraAbstract
With an accelerating negative impact of anthropogenic actions on natural ecosystems, non-invasive biodiversity assessments are becoming increasingly crucial. As a consequence, the interest in the application of environmental DNA (eDNA) survey techniques has increased. The use of eDNA extracted from faeces from generalist predators, have recently been described as “biodiversity capsules” and suggested as a complementary tool for improving current biodiversity assessments. In this study, using faecal samples from two generalist omnivore species, the Eurasian badger and the red fox, we evaluated the applicability of eDNA metabarcoding in determining dietary composition, compared to macroscopic diet identification techniques. Subsequently, we used the dietary information obtained to assess its contribution to biodiversity assessments. Compared to classic macroscopic techniques, we found that eDNA metabarcoding detected more taxa, at higher taxonomic resolution, and proved to be an important technique to verify the species identification of the predator from field collected faeces. Furthermore, we showed how dietary analyses complemented field observations in describing biodiversity by identifying consumed flora and fauna that went unnoticed during field observations. While diet analysis approaches could not substitute field observations entirely, we suggest that their integration with other methods might overcome intrinsic limitations of single techniques in future biodiversity surveys.
Publisher
Nature ResearchCitation
Nørgaard, Olesen, Trøjelsgaard, Pertoldi, Nielsen, Taberlet PRM, Ruiz-Gonzalez, De Barba, Iacolina. eDNA metabarcoding for biodiversity assessment, generalist predators as sampling assistants. Scientific Reports. 2021;11(1)Metadata
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