Pharmaceutical and Antibiotic Environmental Impacts

This paper develops a CRISPR-enriched metagenomic method to detect antibiotic resistance genes in wastewater, finding it more sensitive than conventional methods.

The paper investigates biotransformation of trace organic chemicals by microbial communities, identifying key genes, enzymes, and bacteria involved in their degradation.

This study evaluates how micropollutants, especially antibiotics, affect bacterial communities in different environmental compartments of a river basin, showing reduced diversity and altered functional capabilities in polluted sites.

MetaCompare 2.0 differentiates human health and ecological resistome risks using metagenomic data, showing higher risk scores for human-contaminated environments.

The paper identifies a novel sulfatase in Shinella strains for acesulfame degradation in wastewater and traces its recent emergence in global wastewater treatment systems.

This study investigates the effects of treated wastewater on stream biofilm resistomes, identifying a new planctomycete beta-lactamase that is functionally active despite low sequence similarity to known ARGs.

This study uses sewage metagenomics to distinguish seasonal, human-derived, and environmental microbial communities, offering potential for improved AMR surveillance.

This study compares culture-based and ddPCR methods for detecting carbapenem-resistant bacteria in wastewater, finding weak correlations between quantitative results due to method sensitivity and specificity differences.

The paper detects pharmaceutical contaminants in amphipods of Lake Baikal using HPLC-MS, identifying multiple active ingredients and their annual loads.

This study investigates how zooplankton grazing affects the persistence of the intI1 gene in lake water, showing its association with aggregated microbial communities and vulnerability to grazing.

The paper presents a dataset of emerging contaminants in various water and sediment samples from Chile's central and southern coast, highlighting urban and aquaculture impacts.

This paper develops a non-targeted screening method to analyze xenobiotic compounds in wastewater effluents, revealing significant differences in compound diversity across three treatment facilities.

This study uses stable isotopes and nanoSIMS to show soil bacteria on plastics can assimilate sulfamethoxazole, revealing their role in soil ecosystems.

This study examines how ginger and soil microbes respond to combined chromium and ofloxacin pollution, revealing hormesis effects, microbial shifts, and risks in the food chain.

This study shows non-antibiotic pharmaceuticals inhibit E. coli growth at environmental concentrations without promoting cross-resistance to antibiotics.

This study evaluates how composting and storage affect the microbiome and resistome of cattle manure, finding both methods reduce antibiotic resistance genes but with varying impacts on different gene types.

This study identifies substrate promiscuity in DEET hydrolases from stream biofilms exposed to treated wastewater, showing broad enzymatic activity across multiple contaminants.

This study shows that higher temperatures increase natural ARG abundance in river biofilms but accelerate the loss of invading wastewater-born ARGs.

This study shows pharmaceutical pollution alters the virulence and fitness trade-off between hosts and pathogens, even at low concentrations.

The paper shows that pollutome complexity drives biodegradation of recalcitrant pharmaceuticals through microbial community shifts and high-order interactions.

The paper validates a workflow for detecting antibiotic residues and measuring water chemistry in hospital sink samples, and confirms boric acid preserves microbial and resistome composition for metagenomic sequencing.

This study identifies significant data gaps in monitoring and ecotoxicity data for pharmaceuticals in European waterways, highlighting 68 APIs for monitoring and 66 for ecotoxicity testing.

The paper surveys antimicrobial resistance in Maryland surface waters, finding higher prevalence of beta-lactamase genes in high human impact areas.

This study shows that high copper concentrations reduce bacterial community virulence but also decrease diversity and productivity in wastewater influent communities.

The paper validates and applies intI1 primer sets for quantifying gene abundance in septic tanks, finding no significant difference between primer sets but highlighting the importance of primer choice for accurate environmental monitoring.

This study investigates the fate of sulfamethoxazole and trimethoprim in a micro-aerated anaerobic membrane bioreactor, finding high antibiotic removal and increased antibiotic resistance gene abundance.

This study identifies microbial communities capable of degrading multiple pharmaceutical micropollutants in lab-scale MBRs and identifies key genera responsible for specific pollutant degradation.

The paper uses machine learning to predict plasmid permissiveness in wastewater microbiomes from 16S rDNA sequences, showing moderate-to-strong correlations with experimental data.

This paper presents a CRISPR-Cas-based system called VADER for degrading antibiotic resistance genes (ARGs) in environmental biotechnology, achieving 100% ARG elimination in a prototype reactor.

This study surveys the resistome in 350 Canadian lakes to assess how human and veterinary antibiotic use affects antibiotic resistance gene diversity.