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eDNA metabarcoding for diet analyses of green sea turtles (Chelonia mydas)

2021-12Journal article Open access
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dc.contributor.authorDíaz-Abad, Lucía
dc.contributor.authorBacco-Mannina, Natassia
dc.contributor.authorMadeira, Fernando Miguel
dc.contributor.authorNeiva, João
dc.contributor.authorAires, Tania
dc.contributor.authorSerrao, Ester A.
dc.contributor.authorRegalla, Aissa
dc.contributor.authorPatrício, Ana R.
dc.contributor.authorFrade, Pedro R.
dc.date.accessioned2022-06-29T18:42:39Z
dc.date.available2022-06-29T18:42:39Z
dc.date.issued2021-12
dc.description.abstractUnderstanding sea turtle diets can help conservation planning, but their trophic ecology is complex due to life history characteristics such as ontogenetic shifts and large foraging ranges. Studying sea turtle diet is challenging, particularly where ecological foraging observations are not possible. Here, we test a new minimally invasive method for the identification of diet items in sea turtles. We fingerprinted diet content using DNA from esophageal and cloacal swab samples by metabarcoding the 18S rRNA gene. This approach was tested on samples collected from green turtles (Chelonia mydas) from a juvenile foraging aggregation in the Bijagós archipelago in Guinea-Bissau. Esophagus samples (n = 6) exhibited a higher dietary richness (11 ± 5 amplicon sequence variants (ASVs) per sample; average ± SD) than cloacal ones (n = 5; 8 ± 2 ASVs). Overall, the diet was dominated by red macroalgae (Rhodophyta; 48.2 ± 16.3% of all ASVs), with the main food item in the esophagus and cloaca being a red alga belonging to the Rhodymeniophycidae subclass (35.1 ± 27.2%), followed by diatoms (Bacillariophyceae; 7.5 ± 7.3%), which were presumably consumed incidentally. Seagrass and some invertebrates were also present. Feeding on red algae was corroborated by field observations and barcoding of food items available in the benthic habitat, validating the approach for identifying diet content. We conclude that identification of food items using metabarcoding of esophageal swabs is useful for a better understanding of the relationships between the feeding behavior of sea turtles and their environment.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationDíaz-Abad, L., Bacco-Mannina, N., Madeira, F.M. et al. eDNA metabarcoding for diet analyses of green sea turtles (Chelonia mydas). Mar Biol 169, 18 (2022). https://doi.org/10.1007/s00227-021-04002-xpt_PT
dc.identifier.doi10.1007/s00227-021-04002-xpt_PT
dc.identifier.urihttp://hdl.handle.net/10451/53571
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringerpt_PT
dc.relationFCT UIDB/04326/2020pt_PT
dc.relationPew Marine Fellowship to EAS and Tropibio Era Chair (EU grant 854248 and NORTE-01-0145-FEDER-000046)pt_PT
dc.relationFCT SFRH/BDP/110285/2015pt_PT
dc.relationFCT SFRH/BSAB/150485/2019pt_PT
dc.relationFCT SFRH/BPD/116774/2016pt_PT
dc.relationFCT DL57/2016/CP1361/CT0010pt_PT
dc.relationFundación La Caixa, project ‘TurtleResC—sea turtle resilience to climate change impacts’pt_PT
dc.relationFCT UIDB/04292/2020 and UIDP/04292/2020pt_PT
dc.relationFCT (UIDB/04292/2020 and UIDP/04292/2020)pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.titleeDNA metabarcoding for diet analyses of green sea turtles (Chelonia mydas)pt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue1pt_PT
oaire.citation.titleMarine Biologypt_PT
oaire.citation.volume169pt_PT
person.familyNameEsteves
person.givenNameFernando
person.identifier.orcid0000-0001-8765-9470
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationbd979437-c375-4f0b-83f0-1aedd2eb01f3
relation.isAuthorOfPublication.latestForDiscoverybd979437-c375-4f0b-83f0-1aedd2eb01f3

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