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 |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ACFrOgDLQv7ZvGK7fcZsYXJGryWDXr2RW19M_sQOmj5eud5RpVyisG9K8xt8pRbLNAQ.pdf | Published version | 14.26 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.