2021
DOI: 10.1007/s13364-020-00552-5
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Comparing DNA metabarcoding with faecal analysis for diet determination of the Eurasian otter (Lutra lutra) in Vejlerne, Denmark

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Cited by 14 publications
(18 citation statements)
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“…Our HTS-based study detected more plant taxa compared to the results of traditional dietary surveys reported so far for the Korean water deer (Table S5 ). This is consistent with the results of previous wildlife dietary studies comparing HTS with morphological analysis e.g., 18 , 47 . The detected plants included those belonging to the families Rosaceae, Moraceae, Betulaceae, Fabaceae, Fagaceae, Asteraceae, and Amaranthaceae (Fig.…”
Section: Discussionsupporting
confidence: 92%
“…Our HTS-based study detected more plant taxa compared to the results of traditional dietary surveys reported so far for the Korean water deer (Table S5 ). This is consistent with the results of previous wildlife dietary studies comparing HTS with morphological analysis e.g., 18 , 47 . The detected plants included those belonging to the families Rosaceae, Moraceae, Betulaceae, Fabaceae, Fagaceae, Asteraceae, and Amaranthaceae (Fig.…”
Section: Discussionsupporting
confidence: 92%
“…This problem can be overcome by using a blocking oligonucleotide, designed specifically to prevent amplification of the host DNA (Vestheim & Jarman, 2008). Blocking oligonucleotide have successfully inhibited host DNA amplification and improved the amplification of nonhost taxa in several species including the Eurasian otter ( Lutra lutra ; Pertoldi et al, 2021) and wild pig ( Sus scrofau ; Robeson et al, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…The advancement of molecular HTS in providing the ability to effectively identify prey consumed at lowest taxonomic resolution is making it possible to overcome the limitations of these techniques ( Nielsen et al 2018 ). HTS approach provides rapid dietary screening of the numerous prey taxa present in a single sample and can act as a noninvasive tool to obtain dietary information of a wide range of animals ( Kolkert et al 2020 ; Hacker et al 2021 ; Johnson et al 2021 ; Pertoldi et al 2021 ), including birds ( Sullins et al 2018 ; Chan et al 2019 ; da Silva et al 2020 ; Evens et al 2020 ; Mansor et al 2020a ). As the technology has spread and costs reduced, ecologists have rapidly turned to this powerful, novel tool for ecological studies, including dietary analysis.…”
mentioning
confidence: 99%