| Summary: | The high-dispersal rates of microorganisms have driven to the expectation of their cosmopolitan geographic distribution. However, recent studies demonstrate that microorganisms instead show particular biogeography. Despite the existence of cosmopolitan species, geographically limited microbial groups have been found in aquatic and terrestrial environments worldwide. Diatoms are long time used model to study the biogeography of microorganisms. They are unicellular eukaryotic microalgae that contribute significantly to the aquatic primary production and have huge taxonomic diversity and marked species-specific ecological preferences. Several authors considered that diatoms have no limits in dispersion and are ubiquitously present. On the other hand, recent studies have shown that endemism exists for several genera, and species may have low dispersal capacity. However, all these studies are based on data obtained by microscopy and therefore suffer from the many well-identified biases associated with the optical identification of microorganisms at large scale. Metabarcoding technologies provide an access to taxonomic precision with a higher resolution compared to microscopy and open therefore the possibility of analyzing microbial diversity at genetic level. Recent bioinformatics tools allow reliable and standardized comparison of large datasets originating from distant geographic regions, overcoming issues related to biases in species identification. In this study we used metabarcoding data to revisit central questions in freshwater diatom biogeography. We assembled a large dataset of samples of benthic diatoms collected from rivers in seven different geographic regions. These regions cover the subpolar (Fennoscandia), temperate (France Mainland) and tropical (West Africa, French Guyana, New Caledonia, Tahiti island and Mayotte island) climate zones. The selected geographic regions can also be classified into four continental areas (Fennoscandia, France Mainland, West Africa, and French Guyana) and three islands ...
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