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Valdivia-Carrillo, T.

Publications and source records attributed to Valdivia-Carrillo, T..

2 recordsLinked to original sources

Modeling cetacean eDNA distribution along the Washington coast using metabarcoding from opportunistic samples and generalized additive models

Effective cetacean conservation depends on robust monitoring, yet traditional visual and passive-acoustic surveys have constraints. We evaluated environmental DNA (eDNA) metabarcoding coupled with species distribution modeling (SDM) as a tool to study habitat use of cetaceans along the Washington State coast, USA. Seawater was collected at the surface and at a 50 m depth from 43 sites (86 samples) during the 2019 U.S.-Canada Integrated Ecosystem & Acoustic-Trawl Survey. A partial section of the mitochondrial control region was amplified with cetacean - specific primers, sequenced on an Illumina MiSeq, and taxonomically assigned with a curated reference database. Nine species were detected; we modelled the three most frequent: Pacific white-sided dolphin (Lagenorhynchus obliquidens) (10 detections), humpback whale (Megaptera novaeangliae) (8 detections), and Rissos dolphin (Grampus griseus) (6 detections). Binomial generalized additive models related presence-absence to bathymetry, distance to shore, longitude, slope, and sea-surface temperature; model performance was assessed with stratified five-fold cross-validation. SDMs explained 17-51% of null deviance and presented high specificity ([≥] 0.80). The Pacific white-sided dolphin showed the highest eDNA presence probabilities offshore, beyond the shelf break. Humpback whale eDNA presence probabilities showed hotspots along the shelf break with secondary high-probability patches in near-shore waters. Rissos dolphin eDNA presence probabilities were elevated in offshore zones characterized by steep bathymetric gradients, particularly northwest of the sampled transect. These spatial patterns are consistent with historical visual-acoustic records, suggesting that eDNA-informed SDMs can capture cetacean habitat use. This proof of concept indicates that combining eDNA detections with flexible SDMs could provide a cost-effective, non-invasive complement to conventional surveys and may offer a scalable pathway for marine-mammal monitoring and spatial planning.

genomics↗

Beyond traditional biodiversity fish monitoring: environmental DNA metabarcoding and simultaneous underwater visual census detect different sets of a complex fish community at a marine biodiversity hotspot

Significant advances in the study of marine fish communities have been achieved with traditional monitoring methods and recently with novel genetic approaches. eDNA metabarcoding is one of them and a powerful tool for the study of biodiversity still in continuous development. Its applicability in marine ecology and conservation studies may be gauged by comparing its results with those of traditional methods. In the present investigation, we compare results from the underwater visual census (UVC) with eDNA metabarcoding (eDNA) carried out simultaneously in 24 rocky reef sites along the Gulf of California. We developed a two-PCR library preparation protocol followed by high throughput sequencing aimed at teleost fish. Our results show that both methods had different detection capabilities, and each registered different sets of fish taxa from rocky reefs, with some overlap. In particular, eDNA identified taxa from pelagic, demersal, and estuarine habitats beyond the rocky reef itself, suggesting differences in detection mainly attributed to the transport and permanence time of the eDNA in the ocean. Overlap in the detection with both methods increased with taxonomic level. We argue that substantial gaps in sequence reference databases for teleost are at the root of major discrepancies. Our results also confirm that PCR-based eDNA metabarcoding of seawater samples does not reflect patterns in abundance and biomass of species estimated from traditional methods. We discuss how to reconcile the results of eDNA metabarcoding and traditional methods in marine hotspots.

genomics↗