Jorge Moreno-Tilano

and 8 more

The Magdalena River basin harbors a large biodiversity of vertebrates, with numerous endemic species, many of which are threatened with extinction. Following the same trend as most freshwater ecosystems globally, the Magdalena faces threats from human activities, causing habitat degradation and the decline of its biodiversity. Monitoring the freshwater biodiversity is crucial to detect early impacts and guide conservation actions in this river system, which is of vital ecological importance for Colombia. Here, we used environmental DNA (eDNA) metabarcoding, with two primer sets designed to target mitochondrial DNA regions, specifically the 12S ribosomal RNA gene, targeting fish as well as amphibians, reptiles, birds, and mammals in the Magdalena River. We detected a total of 158 vertebrate taxa, not only aquatic but also terrestrial, arboreal, and aerial. The diversity of these vertebrates increases as the river mouth is approached, accompanied by a change in the composition of the aquatic vertebrate assemblages, with two distinct groups linked to the geomorphology of the lower Magdalena basin. The assemblage was characterized by a high turnover of taxa between the sites closest to the mouth of the river and a marked nesting of taxa when comparing the sites closest to the river mouth with those farther away. We conclude that eDNA metabarcoding allows characterizing vertebrate assemblages in large rivers, assessing conservation status, and elucidating biodiversity patterns with minimal ecosystem disturbance. The information obtained through this approach can contribute to the sustainable management and preservation of vital freshwater ecosystems and their associated biodiversity.

Dominik Kirschner

and 8 more

Understanding the intricate dynamics of biodiversity within and across riverine ecosystems, influenced by geological history and environmental factors, is crucial for effective conservation and management strategies. Italy, particularly the Ligurian region, harbors diverse freshwater fish communities and populations shaped by unique geological and hydrological conditions. Here, we investigated the suitability of eDNA-metabarcoding to identify inter- and intraspecific diversity patterns of riverine fish populations along the main drainage divide (MDD) between the Adriatic and Ligurian basins in Northern Italy. We collected 96 aquatic eDNA samples across 48 riverine sites, amplified them using a cytb primer pair and denoised the sequences to retrieve amplicon sequence variants (ASV). We calculated communities’ phylogenetic distance with betaMPD based on genetic distances derived from the ASVs, combined them with conductance-based landscape metrics and applied generalized dissimilarity models (GDM) to assess spatial genetic structure. Our results reveal genetic differentiation among populations of several fish species, with some displaying clustering patterns across the drainage divide and isolation by distance patterns. Overall, taxon richness was significantly higher in the Ligurian sites (25) than in the Adriatic side of the MDD (22), as was ASV richness (205 vs. 196). Our findings highlight the effectiveness of eDNA-metabarcoding in uncovering various facets of diversity, shedding light on hidden genetic diversity within ASVs, and revealing significant spatial genetic structuring in freshwater fish populations across multiple species.