Environmental Toxicology and Ecotoxicology

This study evaluates the sensitivity of daphnids compared to fish for neurotoxic chemicals, finding daphnids often more sensitive and suggesting their use as an alternative to fish toxicity tests.

This study compares gene expression and DNA methylation responses to hypoxia in toxicant-resistant and reference killifish populations, finding altered transcriptional and epigenetic responses in the resistant group.

This study assesses the acute and sub-chronic toxicity of 6PPD-quinone to early-life stage lake trout, finding significant mortality and deformities at environmentally relevant concentrations.

The paper examines interspecific differences in biotransformation capacity among fish species in polluted waters and links these differences to biodiversity impacts.

This study develops a high-throughput behavioural tool to assess neurochemical effects on Capitella teleta, showing that nicotine, fluoxetine, phenobarbital, and apomorphine alter locomotion at different doses.

This study demonstrates that eRNA-seq from aquarium water can detect more differentially expressed genes and perform GO analysis, showing sensitivity to stress-related gene expression over time.

The paper evaluates residual variance structures in toxicokinetic models for predicting chemical uptake and elimination in invertebrates, showing that choosing appropriate variance functions improves model accuracy.

This study examines how temperature, cadmium, and hypoxia interact to affect mitochondrial bioenergetics in rainbow trout, showing complex interactions that go beyond individual stressor effects.

This study uses network-based frameworks to assess the ecotoxicological effects of petroleum hydrocarbons and their risks to aquatic ecosystems.

This study investigates the genomic and transcriptomic signatures of metal tolerance in brown trout from metal-polluted rivers, identifying genetic and gene expression changes associated with metal resistance.

The paper examines pesticide-induced molecular responses in crayfish populations with varying pollution exposure, finding population-specific gene expression patterns linked to potential pollutant resistance.

The paper compares the ecotoxicity of different agricultural tank-mix adjuvants on Daphnia magna and Apis mellifera, finding that polymer-based adjuvants are less harmful than traditional ones to water fleas, while trisiloxane-based adjuvants are more toxic to bees.

This study shows that ash from wildfires increases water pH, causing rapid physiological stress in Chinook salmon, with greater effects at higher temperatures.

This study investigates the molecular response of European sardines to trace-element contamination, finding upregulated stress and immune pathways and potential biomarkers for monitoring sardine health.

This study examines transcriptomic responses of freshwater fish to urban stressors, finding seasonal gene expression changes and pathway activations linked to stressors like temperature and salinity.

This study examines how climate change, pesticides, and pharmaceuticals affect killifish behavior and life history traits when combined.

The paper assesses phylogenetic signal in aquatic toxicity data for various chemicals and finds strong signal in only a few datasets.

This study evaluates the effects of carbofuran on zebrafish behavior and neurochemical markers but finds no significant changes in behavioral parameters or neurochemical levels.

The paper tests the toxicity of four nitrification inhibitors to soil fauna species and finds nitrapyrin poses potential risk.

This study examines the impact of cobalt on prokaryotic communities in river biofilms, finding changes in community structure and function but no resilience after Co removal.

This study uses untargeted metabolomics to analyze how river biofilms respond to short- and long-term cobalt exposure, identifying rapid defense and delayed damage responses.

The paper analyzes dose-response curves of defense and damage biomarkers across 18 phyla to show distinct response trends and their evolutionary conservation.

This study shows crude oil exposure reduces zebrafish embryo eye size and swimming activity, with molecular and histological evidence linking these effects to gene dysregulation and retinal structural changes.

This study trains and evaluates machine learning models to predict fish acute mortality from chemical properties, finding that tree-based models perform best but struggle with individual chemical predictions.

The paper introduces ADORE, a benchmark dataset for machine learning in ecotoxicology, to facilitate model comparison and challenge researchers to improve predictive performance.

DRomics provides a workflow for analyzing dose-response omics data in ecotoxicology, offering tools for statistical analysis, handling varied data types, and biological interpretation.

This study examines transcriptomic responses of sea lamprey gills to TFM, niclosamide, and their mixture, identifying gene expression changes related to cell cycle, DNA damage, and immune function.

This study demonstrates that environmental RNA (eRNA) can detect gene expression changes in Japanese medaka fish exposed to pyrene, though it is largely bacterial and degraded.

The paper evaluates sublethal salinity effects on Gasterosteus aculeatus using transcriptomic analysis in urban streams, identifying osmoregulatory gene responses.

This study investigates the transcriptomic responses of bluegill to niclosamide and a TFM:niclosamide mixture, identifying detoxification mechanisms and cellular processes involved in tolerance.