Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/48092
Title: High meiofaunal diversity in the Azores revealed through DNA metabarcoding
Authors: Leasi, Francesca
Alvaro, Nuno V.
Andrade, Luiz F.
Araujo, Thiago Q.
Aramayo, Victor
ARTOIS, Tom 
Ballentine, Will M.
Bergmeier, Franziska S.
Botelho, Andrea Z.
Buckenmeyer, Ariane
Capucho, Ana T.
Cherneva, Irina
Costa, Ana Cristina Ricardo
Curini-Galletti, Marco
Davidson, Anitha Mary
Deng, Wang
Di Domenico, Maikon
Ellison, Christina
Engelhardt, Jan
Fais, Maria
Frade, Duarte G.
de Frias Martins, Antonio M.
Goetz, Freya E.
Hochberg, Rick
de Jesus-Navarrete, Alberto
Jondelius, Ulf
Jondelius, Ylva
Jorger, Katharina M.
Luckas, Nina
Martinez, Alejandro
Mikhlina, Anna
Neusser, Timea P.
Norenburg, Jon L.
Pardo, Juan C. F.
Peixoto, Antonio J. M.
Roberts, Nickellaus
Savchenko, Alexandra
Schmidt-Rhaesa, Andreas
Todter, Lenke
Yap-Chiongco, Meghan
Fontaneto, Diego
Issue Date: 2025
Publisher: SPRINGER HEIDELBERG
Source: Marine Biodiversity, 56 (1) (Art N° 6)
Abstract: To advance understanding of meiofauna, key components of marine benthic ecosystems, an international team conducted a morphology-based taxonomic survey and workshop around S & atilde;o Miguel, the largest Azorean island, in 2019. The survey yielded critical baseline data on meiofaunal diversity and, despite taxonomic challenges that limited identification of certain taxa, laid a solid foundation for further research. To expand these findings, additional samples were analyzed using DNA metabarcoding, a powerful tool that assesses multiple facets of biodiversity, including richness, community composition, and phylogenetic diversity. Metabarcoding identified 480 meiofaunal amplicon sequence variants across 14 phyla, more than doubling the 180 taxa recorded through morphology alone. Of these, 298 (approximately 62%) belonged to phyla targeted during the morphology-based workshop. A comparison between the two approaches, focusing on clades addressed during the workshop, revealed overlapping but expanded patterns of diversity relative to morphology-based taxonomy. This consistency supports the metabarcoding's ability to uncover meiofaunal diversity and underscores the importance of integrating both methods to achieve a more comprehensive understanding of biodiversity and ecological patterns. As the first metabarcoding study in the Azores, this work establishes a biodiversity baseline for a remote and understudied region, indicating greater benthic diversity than previously recognized. By revealing the complexity of these understudied ecosystems, this research contributes to document and support conservation of biodiversity in the Azores and emphasizes the need for further exploration of meiofaunal communities in isolated oceanic environments.
Notes: Leasi, F (corresponding author), Univ Tennessee Chattanooga, Dept Biol Geol & Environm Sci, Chattanooga, TN 37403 USA.
francesca-leasi@utc.edu
Keywords: Benthic ecosystems;Biodiversity;Meiofauna community;Integrative taxonomy;Oceanic islands
Document URI: http://hdl.handle.net/1942/48092
ISSN: 1867-1616
e-ISSN: 1867-1624
DOI: 10.1007/s12526-025-01615-z
ISI #: 001641107700001
Rights: The Author(s) 2025. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons. org/licenses/by/4.0/.
Category: A1
Type: Journal Contribution
Appears in Collections:Research publications

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