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Data from: DNA metabarcoding improves the taxonomical resolution of visually determined diet composition of beaked redfish (Sebastes sp.)

<p class="pf0"><span>Beaked r</span><span>edfish, dominated by <em>Sebastes mentella</em>, have recently reached record abundance levels in the Gulf of St. Lawrence (GSL) and knowledge of their diet composition is essential to understand the trophic role that these groundfish play in the ecosystem. The objective of the present study was to compare the performance of the visual examination and DNA metabarcoding of stomach contents of the same individual redfish caught in the estuary and northern Gulf of St. Lawrence. Using a universal metazoan mitochondrial cytochrome c oxidase subunit I (COI) marker, a total of 27 taxonomic sequence matches, 16 at the species level considered as primary prey, were obtained from 185 stomachs with DNA metabarcoding and compared to </span><span>the</span> <span>26 prey types, 16 at genus or species level, obtained with stomach content analysis (SCA). While both techniques pointed to a similar definition of diet composition, our results</span><span> also revealed that the SCA and DNA metabarcoding perform differently among prey categories, both in terms of detectability and taxonomical resolution, as well as in estimated contribution to diet. </span><span>The use of DNA metabarcoding along with SCA improves the taxonomical resolution of visually determined prey,</span><span> which supports the concept that both techniques provide useful complementary information that is best used together to gain a maximum level of information on the predator's diet.</span></p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
12
Access
12
Reuse readiness
0
Engagement
8

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