Ryan P. Kelly

The paper shows that environmental RNA, CpG methylation, and bulk DNA differ in persistence, affecting the reliability of molecular signals in water samples.

This paper uses eDNA sequencing to show that genetic material moves between water and air, revealing a continuous ecological interface and offering new monitoring approaches for vertebrates.

The paper demonstrates the use of long-range PCR and nanopore sequencing to obtain and analyze long mitochondrial fragments from environmental DNA samples, enabling species identification despite sequencing errors.

The paper evaluates eDNA workflows to identify cost-effective and sensitive methods for biodiversity monitoring in resource-limited settings.

The paper uses eDNA metabarcoding and generalized additive models to model cetacean distribution along the Washington coast, finding spatial patterns consistent with historical records.

The paper combines qPCR and metabarcoding to estimate eDNA quantities for multiple fish species, creating spatial maps that align with known ecological niches and identify biodiversity hotspots.

The paper tracks the decay of multiple environmental nucleic acid components from a cetacean in seawater, finding distinct degradation rates and suggesting their use as a molecular clock for eNA age estimation.

The paper estimates organism abundance from eDNA metabarcoding data by analyzing haplotype frequency deviations within samples.

This paper combines eDNA and acoustic-trawl data using a Bayesian joint model to estimate fish biomass, showing eDNA suggests broader distribution and potentially higher abundance of European anchovy.

The paper demonstrates that airborne eDNA can reliably detect aquatic life, showing that passive air samplers capture eDNA signals comparable to water samples.

The paper uses DNA metabarcoding to analyze the diet of invasive European green crabs and finds significant differences in prey composition between aquaculture and natural habitats.

This study investigates non-detections in metabarcoding data to improve quantitative accuracy by modeling amplification biases and stochastic sampling effects.

This study uses simulations to understand how PCR processes affect species detection in eDNA studies and finds that proportional read indices accurately reflect taxon biomass when amplification efficiency is high.