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ORIGINAL RESEARCH article

Front. Mar. Sci.

Sec. Ocean Observation

A holistic perspective on planktonic communities across the Northwestern Mediterranean Sea

  • 1. UMR7294 Institut Méditerranéen d'océanographie (MIO), Marseille, France

  • 2. Research Federation for the Study of Global Ocean Systems Ecology and Evolution, Paris, France

  • 3. Institut Mediterraneen d'Oceanologie, Marseille, France

  • 4. Sorbonne Universite, Paris, France

  • 5. Laboratoire d'Oceanographie de Villefranche, Villefranche-sur-Mer, France

  • 6. Station Biologique de Roscoff, Roscoff, France

  • 7. Institut Universitaire Europeen de la Mer, Plouzané, France

  • 8. Institut de la Mer de Villefranche, Villefranche-Sur-Mer, France

  • 9. Institut de la Mer de Villefranche, Villefranche sur mer, France

  • 10. Institut de la Mer de Villefranche, Villefranche-sur-mer, France

  • 11. Institut de Biologia Evolutiva, Barcelona, Spain

  • 12. Aix-Marseille Universite, Marseille, France

  • 13. Laboratoire d'Oceanographie et du Climat Experimentations et Approches Numeriques, Paris, France

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Abstract

The Northwestern Mediterranean Sea is undergoing rapid environmental changes driven by climate variability and intense anthropogenic pressure. To monitor and understand the long-term impacts on marine ecosystems, the MOOSE (Mediterranean Ocean Observing System for the Environment) program combines multidisciplinary observations, including physical, chemical, and biological data across temporal and spatial scales. This study presents a holistic assessment of planktonic communities across the Northwestern Mediterranean using integrated approaches—environmental genomics and high-resolution imaging—spanning all plankton size fractions and depths. Data collected during three MOOSE-GE cruises in 2017, 2018 and 2019 were analyzed to explore plankton diversity patterns in relation to oceanographic features. Plankton assemblages was primarily shaped by organism size and water column depth, with fractions 0.2–3 µm and 3–180 µm in the surface and deep chlorophyll maximum layers showing the highest alpha diversity. fractions >64 µm were dominated by metazoans, particularly Arthropoda, while size classes collected by Niskin bottles were dominated by protists such as Syndiniales and Rhizaria. Differences among cruises and sampling periods were detected in samples collected by Niskin bottles, especially for diatoms and dinoflagellates, while plankton tow samples exhibited less pronounced temporal variability. Physical clustering of stations revealed clear cross-shelf and basin-scale gradients, which aligned more with community structure at fine taxonomic resolution (OTU level) for small plankton. Integrating imaging with environmental genomic data enhanced the characterization of key taxa like Copepoda and Rhizaria, demonstrating complementary strengths of each method. While imaging yielded quantitative data, environmental genomics captured cryptic and morphologically indistinct taxa, emphasizing the value of molecular approaches for microbial plankton. This study highlights the critical importance of combining high-resolution molecular and imaging tools with detailed environmental context to unravel plankton biodiversity patterns. It demonstrates that depth, size, and taxonomic resolution are key dimensions for understanding community structure over time. The MOOSE program proves effective for ecosystem-scale monitoring, providing an essential foundation for future assessments of biogeochemical processes and ecosystem responses to climate and human-induced changes in the Mediterranean Sea.

Summary

Keywords

imaging, interoperability, Mediterranean Sea, metabarcoding, physics and biogeochemistry variables, Plankton diversity

Received

27 November 2025

Accepted

16 February 2026

Copyright

© 2026 Lescot, Lezzoche, Laux, Romac, Guilloux, Chevillon, Bodson, Desnos, Elineau, Jalabert, Llopis Monferrer, Sandin, Vannier, Vernette, Villar, Lombard, CARLOTTI, Irisson, Guidi, Bosse, Testor, Coppola and Not. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Magali Lescot

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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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