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4 results for “DNA-metabarcoding”
Data from: Predator-prey interactions in the Arctic: DNA-metabarcoding reveals that nestling diet of snow buntings reflects arthropod seasonality
<p>Tundra arthropods are of considerable ecological importance as a seasonal food source for many arctic-breeding birds. Dietary composition and food preferences are rarely known, complicating assessments of ecological interactions in a changing environment. In our field study, we investigated nestling diet of snow buntings (<em>Plectrophenax nivalis</em> (L., 1758)) breeding in Svalbard. We collected faecal samples from 8-day-old nestlings and assessed dietary composition by DNA-metabarcoding. Simultaneously, the availability of potential prey arthropods was measured by pitfall-trapping. Molecular analyses of nestling faeces identified 31 arthropod taxa in the diet, whose proportions changed throughout the brood-rearing period. Changes in nestling diet matched varying abundances and emergence patterns of the tundra arthropod community. Snow buntings provisioned their offspring mainly with Diptera (true flies) based on both presence/absence and relative read abundance of diet items. At the beginning of the season in June, Chironomidae (non-biting midges) and the scathophagid fly <em>Scathophaga furcata</em> (Say, 1823) dominated the diet, whereas the muscid fly <em>Spilogona dorsata </em>(Zetterstedt, 1845) dominated the diet later in July. When accounted for availability, muscid flies were selected positively amongst the most often provisioned food taxa. Our study demonstrates the ecological role of the snow bunting as a generalist arthropod predator and highlights DNA-metabarcoding as a non-invasive technique for diet analyses with high taxonomical precision if sufficient DNA-sequence libraries are available.</p>
Data from: Predator-prey interactions in the Arctic: DNA-metabarcoding reveals that nestling diet of snow buntings reflects arthropod seasonality
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DNA-metabarcoding reveals the importance of gelatinous zooplankton in the diet of Pandalus borealis, a keystone species in the Arctic
<p>Information about the dietary composition of species is crucial to understand their position and role in the food web. Stomach content analysis (SCA) and stable isotope analysis (SIA) are commonly used to study marine trophic relationships. SCA can provide high taxonomic resolution but requires taxonomic expertise and frequently underestimates digestible taxa. SIA provides a time-integrated view of the dietary sources but often lacks in taxonomic resolution. The use of molecular approaches such as DNA-metabarcoding may alleviate these problems. Here, we used DNA-metabarcoding with universal primers for cytochrome c oxidase I (COI), to study the diet composition of the Northern shrimp (<i>Pandalus borealis</i>) from the Barents Sea, a keystone species in the Arctic region with large socio-economic importance. Across locations, jellyfish and chaetognaths were the most important components in the diet of <i>P. borealis</i>, jointly accounting for 40-60% of the total read abundance. This dietary importance of gelatinous zooplankton contrasts sharply with published results based on SCA. At the same time, diet composition differed between fjord and shelf locations, pointing to different food webs supporting <i>P. borealis</i> in these two systems. Our study underscores the potential of molecular approaches to provide important new insights into the diet of marine invertebrates that are difficult or impossible to obtain with traditional methods, and calls for a revision of the role of gelatinous zooplankton in the diet of the key Arctic species <i>P. borealis</i>, and in extension, Arctic food webs.</p>
DNA-metabarcoding reveals the importance of gelatinous zooplankton in the diet of Pandalus borealis, a keystone species in the Arctic
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