Environmental DNA in Biodiversity Studies

This study evaluates eDNA methods for monitoring quagga and zebra mussel reproduction, finding that integrated water and bulk sampling are more effective than sub-surface sampling for quantifying larvae and estimating reproductive periods.

This study uses global eDNA data to show how riverine fish biodiversity relates to drainage characteristics, revealing climate and human activity effects vary by biodiversity facet and catchment size.

This study shows that central-core samples in small lakes capture more taxonomic richness than marginal samples, improving sedimentary DNA-based vegetation representation.

The paper introduces CORAL, a transfer learning method that improves prediction and inference for rare species using DNA metabarcoding data from Madagascar.

This paper introduces a field-deployable eDNA metabarcoding workflow that generates reference sequences to improve biodiversity monitoring in understudied ecosystems.

This study compares two eDNA sampling strategies in freshwater lakes, finding that the spatially integrated approach underestimates in-situ eDNA concentrations compared to the point sampling strategy.

The paper compares fixed and vehicle-mounted airborne eDNA sampling methods for detecting terrestrial vertebrates, finding no difference in taxa detected by method or land use, but differences in community composition between land uses.

This study uses DNA metabarcoding to analyze the diets of sympatric duck species in a subtropical East Asian wetland, revealing dietary specialization and variation among species.

This study compares eDNA and macroinvertebrate surveys in a metal-contaminated river, finding eDNA detects community changes downstream but is affected by upstream DNA drift.

This study evaluates soil eDNA sequencing for landscape-scale plant biodiversity assessment, finding comparable genus-level taxonomic resolution but lower sensitivity than field surveys.

The paper investigates eDNA dispersion from a mesophotic reef, finding limited vertical transport and extended horizontal dispersal, with taxon-specific markers improving detection.

This study uses eDNA metabarcoding to analyze fruit-associated plant-animal interactions in papaya and pineapple, revealing differences in taxonomic composition between fruit types and consumption states.

The paper develops a pipeline to detect and classify freshwater algae using rbcL gene detection and machine learning on metagenomic data, generating a global algal taxonomic database.

The paper develops an efficient iDNA method using carrion flies to survey rainforest mammals, finding that pooling PCR products after initial PCR preserves species detection.

The paper compares eDNA metabarcoding and community science for monitoring Odonata in urban ecosystems, finding both methods have distinct strengths and limitations.

The paper detects canopy biodiversity using eDNA from rainwater, finding lower diversity in a plantation compared to a mature forest.

This study evaluates two eDNA metabarcoding approaches for stream bioassessment under the WFD, finding they produce comparable ecological status results to bulk DNA and morphology-based methods.

This paper introduces a nested PCR approach to optimize rpoB metabarcoding for low-concentration and host-associated bacterial DNA, showing improved amplification efficiency without bias.

The paper introduces the JEDI marker as a universal biodiversity measure, demonstrating its applicability across ecological scales and providing an automated bioinformatic workflow for standardized analysis.

This paper presents a non-destructive DNA extraction method from DESS-preserved specimens and environmental samples for DNA barcoding, demonstrating its application on nematodes and other small organisms.

This study evaluates the effectiveness of multiple non-invasive methods for assessing vertebrate diversity and trophic complexity in rewilding sites, finding that integrating environmental DNA and passive acoustic monitoring provides the most comprehensive results.

This paper reviews eDNA methods for detecting diadromous fish in Portugal and presents a pilot study on sea lamprey detection, highlighting eDNA's potential for conservation monitoring.

This study compares Illumina and Nanopore 16S rRNA sequencing for predicting seafloor ecological state using machine learning and feature selection, showing comparable performance with Nanopore as a viable alternative.

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.

This paper tests the use of megabarcoding to monitor forest soil macrofauna biodiversity, showing it can identify species at a competitive cost and reveal significant larval diversity.

This paper introduces a framework to estimate confidence in absence (CIADM) for priority species using environmental DNA data, showing that increased replication improves confidence in absence assessments.

The paper uses ancient environmental DNA to analyze marine biodiversity in pre-industrial Iceland, finding limited human impact compared to climate effects.

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

The paper introduces a novel eDNA metabarcoding marker that detects amphibians, turtles, and fish, showing improved sensitivity and global applicability.

The paper introduces the occumb R package for site occupancy modeling of eDNA metabarcoding data, emphasizing the importance of accounting for false negatives in species detection.