2015
DOI: 10.1371/journal.pone.0115335
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Highly Overlapping Winter Diet in Two Sympatric Lemming Species Revealed by DNA Metabarcoding

Abstract: Sympatric species are expected to minimize competition by partitioning resources, especially when these are limited. Herbivores inhabiting the High Arctic in winter are a prime example of a situation where food availability is anticipated to be low, and thus reduced diet overlap is expected. We present here the first assessment of diet overlap of high arctic lemmings during winter based on DNA metabarcoding of feces. In contrast to previous analyses based on microhistology, we found that the diets of both coll… Show more

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Cited by 130 publications
(132 citation statements)
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“…), this approach is now extensively used by ecologists for assessing the diet of herbivores (Soininen et al . ), carnivores (Deagle, Kirkwood & Jarman ) and omnivores (De Barba et al . ).…”
Section: Genomic Community Environmental or Ancient Dna?mentioning
confidence: 99%
“…), this approach is now extensively used by ecologists for assessing the diet of herbivores (Soininen et al . ), carnivores (Deagle, Kirkwood & Jarman ) and omnivores (De Barba et al . ).…”
Section: Genomic Community Environmental or Ancient Dna?mentioning
confidence: 99%
“…Finally, using the ecotag program (Yoccoz et al, 2012), sequences were compared with a local taxonomic reference library containing 2445 sequences of 815 arctic (Sønstebø et al, 2010) and 835 boreal (Willerslev et al, 2014) vascular taxa as well as 455 bryophytes (Soininen et al, 2015), and assigned to the relevant taxon. Using the local reference library confers the advantage of a more accurate match with species that are found in the local environment.…”
Section: Dna Sequences Analysis and Filteringmentioning
confidence: 99%
“…The advent of DNA‐based molecular tools for the identification of complex multitaxa samples, that is metabarcoding, has greatly renewed the interest in dietary studies, particularly due to the high taxonomic resolution offered by this approach (e.g., De Barba et al., ; Kartzinel & Pringle, ; Lopes et al., ). This has been especially relevant to species whose diet is particularly difficult to study, either due to their secretive behaviour (e.g., Shehzad et al., ; Soininen et al., ) or due to difficulties to identify prey in dietary remains such as stomach contents, regurgitates and scats (e.g., Arrizabalaga‐Escudero et al., ; Kaunisto, Roslin, Sääksjärvi, & Vesterinen, ; Mollot et al., ). However, despite its increasingly widespread use, uncertainties and potential biases associated with the quantification of diets based on metabarcoding are still not well understood, requiring a detailed enquiry on how results are affected by different methodological options (Alberdi, Aizpurua, Gilbert, & Bohmann, ; Nielsen et al., ).…”
Section: Introductionmentioning
confidence: 99%