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

Detalhes bibliográficos
Autor(a) principal: Díaz-Abad, Lucía
Data de Publicação: 2021
Outros Autores: Bacco-Mannina, Natassia, Madeira, Fernando Miguel, Neiva, João, Aires, Tania, Serrao, Ester A., Regalla, Aissa, Patrício, Ana R., Frade, Pedro R.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10451/53571
Resumo: Understanding 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.
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spelling eDNA metabarcoding for diet analyses of green sea turtles (Chelonia mydas)Understanding 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.SpringerRepositório da Universidade de LisboaDíaz-Abad, LucíaBacco-Mannina, NatassiaMadeira, Fernando MiguelNeiva, JoãoAires, TaniaSerrao, Ester A.Regalla, AissaPatrício, Ana R.Frade, Pedro R.2022-06-29T18:42:39Z2021-122021-12-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10451/53571engDíaz-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-x10.1007/s00227-021-04002-xinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-08T16:59:11Zoai:repositorio.ul.pt:10451/53571Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:04:22.114341Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv eDNA metabarcoding for diet analyses of green sea turtles (Chelonia mydas)
title eDNA metabarcoding for diet analyses of green sea turtles (Chelonia mydas)
spellingShingle eDNA metabarcoding for diet analyses of green sea turtles (Chelonia mydas)
Díaz-Abad, Lucía
title_short eDNA metabarcoding for diet analyses of green sea turtles (Chelonia mydas)
title_full eDNA metabarcoding for diet analyses of green sea turtles (Chelonia mydas)
title_fullStr eDNA metabarcoding for diet analyses of green sea turtles (Chelonia mydas)
title_full_unstemmed eDNA metabarcoding for diet analyses of green sea turtles (Chelonia mydas)
title_sort eDNA metabarcoding for diet analyses of green sea turtles (Chelonia mydas)
author Díaz-Abad, Lucía
author_facet Díaz-Abad, Lucía
Bacco-Mannina, Natassia
Madeira, Fernando Miguel
Neiva, João
Aires, Tania
Serrao, Ester A.
Regalla, Aissa
Patrício, Ana R.
Frade, Pedro R.
author_role author
author2 Bacco-Mannina, Natassia
Madeira, Fernando Miguel
Neiva, João
Aires, Tania
Serrao, Ester A.
Regalla, Aissa
Patrício, Ana R.
Frade, Pedro R.
author2_role author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Díaz-Abad, Lucía
Bacco-Mannina, Natassia
Madeira, Fernando Miguel
Neiva, João
Aires, Tania
Serrao, Ester A.
Regalla, Aissa
Patrício, Ana R.
Frade, Pedro R.
description Understanding 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.
publishDate 2021
dc.date.none.fl_str_mv 2021-12
2021-12-01T00:00:00Z
2022-06-29T18:42:39Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10451/53571
url http://hdl.handle.net/10451/53571
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Díaz-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-x
10.1007/s00227-021-04002-x
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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