2018
DOI: 10.1002/ece3.4500
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A metabarcoding approach for the feeding habits of European hake in the Adriatic Sea

Abstract: European hake (Merluccius merluccius) is one of the most economically important fish for the Mediterranean Sea. It is an important predator of deep upper shelf slope communities currently characterized by growth overexploitation: the understanding of hake's diet might support next generation management tools. However, all current European hake diet studies depend on the morphological identification of prey remains in stomach content, with consequent limitations. In this study, we set up a metabarcoding approac… Show more

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Cited by 27 publications
(47 citation statements)
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“…Dietary studies using DNA metabarcoding is rapidly proliferating, opening new techniques for the exploration of trophic interactions and population and community dynamics (Jakubavičiūtė et al ., ; Kress et al ., ; Valentini et al ., ). Hence, DNA‐based analysis of stomach contents is a promising approach, especially from the possibility of providing a high taxonomic resolution of prey (Jakubavičiūtė et al ., ; Riccioni et al ., ). However, there are still some shortcomings of this approach.…”
Section: Methods For Stomach‐content Analysismentioning
confidence: 97%
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“…Dietary studies using DNA metabarcoding is rapidly proliferating, opening new techniques for the exploration of trophic interactions and population and community dynamics (Jakubavičiūtė et al ., ; Kress et al ., ; Valentini et al ., ). Hence, DNA‐based analysis of stomach contents is a promising approach, especially from the possibility of providing a high taxonomic resolution of prey (Jakubavičiūtė et al ., ; Riccioni et al ., ). However, there are still some shortcomings of this approach.…”
Section: Methods For Stomach‐content Analysismentioning
confidence: 97%
“…DNA degradation during digestion is another limiting factor for DNA barcoding of stomach contents (Kress et al ., ; Sakaguchi et al ., ). Other constraints relate to the situation that the results mainly are limited to species richness and frequency of occurrence of prey due to the semi‐quantitative nature of the metabarcoding analysis of stomach contents (Harms‐Tuohy et al ., ; Riccioni et al ., ). Secondary prey ( i.e ., prey of the primary prey) may also be detected from the barcoding, resulting in an overestimation of prey richness (Harms‐Tuohy et al ., ; Sakaguchi et al ., ).…”
Section: Methods For Stomach‐content Analysismentioning
confidence: 97%
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“…Only recently has molecular network analysis been applied to the assessment of ecological systems. Metabarcoding studies in this context have focused on varying scales: the diet of European hake (Riccioni et al, 2018); coral reef fish (Casey et al, 2019); freshwater ecosystems (Compson et al, 2019); aquatic macroinvertebrates (Bush et al, 2019); and bat (Clare et al, 2019), forest (Evans et al, 2016), and herbivore (Kartzinel et al, 2015) communities. However, to the best of our knowledge (see Sousa et al, 2019 for a review), to date a metabarcoding study has yet to use fecal eDNA to reconstruct ecological networks and unravel trophic interactions among carnivores, omnivores, and herbivores within a terrestrial mammal community to inform biodiversity assessments.…”
Section: Introductionmentioning
confidence: 99%
“…HTS has been used to assess the diet composition of a wide taxonomic range of animals. Animals whose diets have been successfully investigated have included mammals (Buglione et al., 2018; De Barba et al., 2014; Esnaola et al., 2018; Robeson et al., 2017), birds (Crisol‐Martinìez et al., 2016; Han & Oh, 2018), reptiles (Caut et al., 2019; Kartzinel & Pringle, 2015; Koizumi et al., 2017), fish (Barbato et al., 2019; Harms‐Tuohy et al., 2016; Riccioni et al., 2018) and arthropods (Kamenova et al., 2018; Kennedy et al., 2020; Krehenwinkel et al., 2016). For most species, faecal samples, in contrast to stomach contents, can easily be obtained, with a minimal level of interaction and harm inflicted on the studied animal.…”
Section: Introductionmentioning
confidence: 99%