Genetic landscape clustering of a large DNA barcoding data set reveals shared patterns of genetic divergence among freshwater fishes of the Maroni Basin

The Maroni is one of the most speciose basins of the Guianas and hosts a megadiverse freshwater fish community. Although taxonomic references based on morphological identification exist for both the Surinamese and Guianese parts of the basin, there are still taxonomic uncertainties concerning the status of several species. We used COI sequences of 1284 fish in conjunction with morphological and biogeographical evidence to assist with species delineation and discovery in order to validate and standardize the current taxonomy. This resulted in a final DNA barcode data set of 199 fish species (125 genera, 36 families and eight orders; 68.86% of strictly freshwater fishes from the basin), among which 25 are new putative candidate species flagged as requiring taxonomic update. DNA barcoding delineation through Barcode Index Numbers (BINs) revealed further cryptic diversity (230 BINs in total). To explore global genetic patterns across the basin, genetic divergence landscapes were computed for 128 species, showing a global trend of high genetic divergence between the Surinamese southwest (Tapanahony and Paloemeu), the Guianese southeast (Marouini, Litany, Tampok, etc.), and the river outlet in the north. This could be explained by lower levels of connectivity between these three main areas and/or the exchange of individuals between these areas and the neighbouring basins. A new method of ordination of genetic landscapes successfully assigned species into cluster groups based on their respective pattern of genetic divergence across the Maroni Basin: genetically homogeneous species were effectively discriminated from species showing high spatial genetic fragmentation and possible lower capacity for dispersal.

Automated summary

This study utilized various methods to classify and identify fish species in the Maroni Basin, resulting in the discovery of 25 new candidate species and revealing more cryptic diversity. Genetic divergence showed significant differences between different regions, possibly due to lower levels of connectivity. A new method of ordination of genetic landscapes helped effectively categorize species based on their patterns of genetic divergence.