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, Tânia, Serrao, Ester A., Regalla De Barros, Aissa, Patrício, Ana Rita, Frade, P. 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/10400.12/8725
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 identifcation of diet items in sea turtles. We fngerprinted 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 feld observations and barcoding of food items available in the benthic habitat, validating the approach for identifying diet content. We conclude that identifcation 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)DNA barcodingGuinea-BissauMacrophytesGreen turtleFeeding ecologyMarine biodiversityUnderstanding 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 identifcation of diet items in sea turtles. We fngerprinted 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 feld observations and barcoding of food items available in the benthic habitat, validating the approach for identifying diet content. We conclude that identifcation 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.Fundação para a Ciência e Tecnologia - FCTSpringerRepositório do ISPADíaz-Abad, LucíaBacco-Mannina, NatassiaMadeira, Fernando MiguelNeiva, JoãoAires, TâniaSerrao, Ester A.Regalla De Barros, AissaPatrício, Ana RitaFrade, P. R.2022-07-13T15:36:41Z2021-01-01T00:00:00Z2021-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.12/8725engGarcia-Vazquez, E., Georges, O., Fernandez, S., & Ardura, A. (2021). eDNA metabarcoding of small plankton samples to detect fish larvae and their preys from Atlantic and Pacific waters. Scientific Reports, 11(1), 1–13.0025316210.1007/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:RCAAP2022-09-05T16:44:40Zoai:repositorio.ispa.pt:10400.12/8725Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T15:26:35.220605Repositório 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
DNA barcoding
Guinea-Bissau
Macrophytes
Green turtle
Feeding ecology
Marine biodiversity
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, Tânia
Serrao, Ester A.
Regalla De Barros, Aissa
Patrício, Ana Rita
Frade, P. R.
author_role author
author2 Bacco-Mannina, Natassia
Madeira, Fernando Miguel
Neiva, João
Aires, Tânia
Serrao, Ester A.
Regalla De Barros, Aissa
Patrício, Ana Rita
Frade, P. R.
author2_role author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Repositório do ISPA
dc.contributor.author.fl_str_mv Díaz-Abad, Lucía
Bacco-Mannina, Natassia
Madeira, Fernando Miguel
Neiva, João
Aires, Tânia
Serrao, Ester A.
Regalla De Barros, Aissa
Patrício, Ana Rita
Frade, P. R.
dc.subject.por.fl_str_mv DNA barcoding
Guinea-Bissau
Macrophytes
Green turtle
Feeding ecology
Marine biodiversity
topic DNA barcoding
Guinea-Bissau
Macrophytes
Green turtle
Feeding ecology
Marine biodiversity
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 identifcation of diet items in sea turtles. We fngerprinted 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 feld observations and barcoding of food items available in the benthic habitat, validating the approach for identifying diet content. We conclude that identifcation 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 2021-01-01T00:00:00Z
2021-01-01T00:00:00Z
2022-07-13T15:36:41Z
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/10400.12/8725
url http://hdl.handle.net/10400.12/8725
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Garcia-Vazquez, E., Georges, O., Fernandez, S., & Ardura, A. (2021). eDNA metabarcoding of small plankton samples to detect fish larvae and their preys from Atlantic and Pacific waters. Scientific Reports, 11(1), 1–13.
00253162
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)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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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