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Data and code from: Biogeographic patterns and drivers of endolithic symbiosis in mussels across Atlantic Europe and North Africa

Monsinjon, Jonathan12345; Zardi, Gerardo12345; Nicastro, Katy12345

Research facility: EMIMA experimental platform from the University of Lille
Published Mar 10, 2026 on Dryad. https://doi.org/10.5061/dryad.18931zd8g

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Mar 10, 2026 version files 109.57 KB

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Abstract

This dataset includes the file infestationdata.RData, which provides records of mussel shell bioerosion, is stored in the column “infestation”. The degree of endolithic association was evaluated according to the classification in a previous study: Kaehler, S. (1999) Incidence and distribution of phototrophic shell-degrading endoliths of the brown mussel Perna perna. Mar. Biol., 135, 505-514. https://doi.org/10.1007/s002270050651 Shells with clean, intact periostracum and distinct periostracal striations (Group A); shells with central surface erosion, outer striations becoming indistinct (Group B); shells with erosion extending beyond the central portion, with grooves and pits appearing (Group C); shells heavily pitted, deformed, with almost completely absent periostracal striations (Group D); shells extremely pitted, brittle, and deformed, often with holes (Group E). For each mussel, the valve showing the highest level of endolithic bioerosion was used for classification. The dataset is structured to facilitate quantitative analyses of spatial patterns in endolithic infestation and can be reused for comparative biogeographic studies, methodological benchmarking, or integration into broader meta‑analyses of shell bioerosion and host-symbiont interactions. The accompanying R code provides reproducible workflows for data handling and analysis. All data were collected from wild mussels and do not involve protected species or sensitive human information, and no legal or ethical restrictions apply to their reuse.