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dc.contributor.authorNørgaard, Louise
dc.contributor.authorOlesen, Carsten Riis
dc.contributor.authorTrøjelsgaard, Kristian
dc.contributor.authorPertoldi, Cino
dc.contributor.authorNielsen, Jeppe Lund
dc.contributor.authorTaberlet, Pierre Robert Michel
dc.contributor.authorRuiz-Gonzalez, Aritz
dc.contributor.authorDe Barba, M.
dc.contributor.authorIacolina, Laura
dc.date.accessioned2021-09-13T09:08:36Z
dc.date.available2021-09-13T09:08:36Z
dc.date.issued2021-03-25
dc.description.abstractWith 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.en_US
dc.identifier.citationNørgaard, 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)en_US
dc.identifier.cristinIDFRIDAID 1927463
dc.identifier.doi10.1038/s41598-021-85488-9
dc.identifier.issn2045-2322
dc.identifier.urihttps://hdl.handle.net/10037/22498
dc.language.isoengen_US
dc.publisherNature Researchen_US
dc.relation.journalScientific Reports
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/656697/EU/African Swine Fever, the Sus scrofa evolutionary genomic response/ASF_SwineResistance/en_US
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2021 The Author(s)en_US
dc.subjectVDP::Mathematics and natural science: 400en_US
dc.subjectVDP::Matematikk og Naturvitenskap: 400en_US
dc.titleeDNA metabarcoding for biodiversity assessment, generalist predators as sampling assistantsen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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