Environmental DNA in Biodiversity Studies

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 mitochondrial DNA analysis of water samples to detect invasive and unexpected animal species in Montreal's water bodies, finding invasive fish and potential meat/fish waste contamination.

The paper introduces a rapid, inexpensive, single-tube two-step PCR protocol for DNA barcoding and metabarcoding that improves PCR product yield compared to a one-step protocol.

The paper shows that eDNA profiles from water samples can indicate sample provenance across reservoirs using multi-marker metabarcoding and blockchain traceability.

This paper introduces a method to preserve wildlife fecal specimens for long-term ecological studies, maintaining morphology, DNA integrity, and chemical composition.

This paper develops an eDNA analysis workflow using long-read sequencing and expanded databases to improve detection of vertebrates, arthropods, and mollusks.

The paper develops scalable terrestrial eDNA methods to link landscape-scale forest habitat with insect richness using flower and leaf surface samples.

This study evaluates supervised learning models for bias correction in eDNA metabarcoding, showing significant performance improvements with experiment-specific data.

The paper develops and validates five ddPCR assays for detecting eDNA of specific large brown macroalgal genera in Aotearoa New Zealand.

The paper develops and validates μCeta, a cetacean-specific primer set for eDNA metabarcoding that minimizes non-target vertebrate amplification, successfully detecting Indo-Pacific humpback dolphin eDNA in Hong Kong waters.

This study demonstrates the use of microhaplotypes from environmental DNA to estimate population genetic diversity and species abundance in zebrafish aquaria.

The paper develops an AI model to predict successful genomic DNA sequencing from herbarium specimens using morphological, metadata, and DNA quantity features.

This study uses eDNA sampling and qPCR/dPCR assays to monitor diadromous fish distribution in the Northeast Atlantic, finding dPCR's higher sensitivity is crucial for detecting low-abundance species like sea lamprey.

The paper quantifies chloroplast DNA copy number variation in Arctic plants and shows significant differences between species and tissue types, highlighting its impact on DNA metabarcoding accuracy.

This study standardizes sample coverage in metabarcoding data to assess land use effects on insect diversity, finding significant declines in both taxonomic and phylogenetic diversity in agricultural areas.

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 presents a metagenomic strategy using low-coverage whole genome sequencing reads to construct genomic references, improving species biomass estimation in bulk samples compared to metabarcoding.

This study uses environmental DNA metabarcoding to survey bird diversity in Futian Mangrove Nature Reserve, finding higher bird OTU detection in air samples compared to water and soil.

This study evaluates eDNA detection probabilities for freshwater mussels in low-density populations, showing that higher replication is needed for reliable detection compared to visual sampling.

This study compares fish diversity recovery using netting, eDNA, and dietary metabarcoding in three Neotropical streams to improve biodiversity assessment.

This study extracts and classifies DNA fragments from petroleum samples, revealing genetic insights into ancient environments and human history, while challenging traditional aDNA methods.

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 introduces iconPCR, a novel PCR technology that improves data quality and workflow by ensuring uniform amplification across reactions, leading to more accurate microbial community analysis.

AmpliPiper is a software pipeline for analyzing multilocus amplicon-seq data, enabling accurate and sensitive DNA barcoding with Oxford Nanopore sequencing.

The paper develops a host-exclusive primer design workflow for long-read metabarcoding, enabling efficient amplification of fungal rDNA from mixed DNA samples.

The paper compares eDNA metabarcoding and camera trapping to monitor vertebrate visitation in arid-lands freshwater ecosystems, finding complementary results between the methods.

The paper analyzes environmental RNA from Japanese medaka at different size fractions and compares it with skin RNA to determine optimal filtration methods and sources of eRNA.

The paper combines computer vision and DNA metabarcoding to improve invertebrate classification accuracy and taxonomic granularity using a hybrid approach.

tombRaider improves species and haplotype identification in metabarcoding by removing artefacts and pseudogenes, enhancing data accuracy and reliability.

This study evaluates using rainwater eDNA analysis for canopy invertebrate surveys, finding it potentially efficient but needing further validation.