Allan D. McDevitt

The paper analyzes sedimentary ancient DNA from Ireland to reveal Late Pleistocene faunal connectivity with Eurasia, identifying new mitochondrial lineages in cave hyenas and woolly mammoths.

This study uses eDNA metabarcoding to detect a resurgence in fish diversity in a degraded estuary, identifying previously absent species and highlighting seasonal and spatial variations.

The paper estimates population size and demographic composition of northern muriquis using non-invasive methods and compares their cost-efficiency.

The paper uses eDNA metabarcoding to detect amphibian communities and Bsal fungus in Dutch water bodies, finding a weak but significant link between Bsal presence and community composition.

This study assesses fish biodiversity at the upper/lower mesophotic interface using eDNA metabarcoding and baited cameras, finding complementary species detections and continuity with shallow reef systems.

This study uses DNA barcoding to reveal increased diversity in Irish Culex mosquitoes, identifying two potential new species/ecotypes and highlighting the need for additional primers to differentiate species within the Culex pipiens complex.

This study compares eDNA filtering methods for fish biodiversity monitoring in estuaries, finding that 0.45 µm filters yield the highest species richness and consistency.

The paper develops a portable DNA barcoding method using deep learning to identify shark and ray species in trade, achieving 79.41% accuracy for 28 species.

Shark-dust DNA sequencing reveals widespread trade in threatened sharks and rays, identifying 54 taxa including many CITES-listed species.

This study evaluates eDNA metabarcoding for detecting terrestrial mammals in pond water, finding uneven distribution in natural ponds and detection of species missed by other methods.