Pharmaceutical and Antibiotic Environmental Impacts

This study examines how soil physico-chemical properties correlate with antibiotic resistance gene abundance in agricultural and forest soils, revealing environmental factors influencing AMR spread.

This study investigates the effects of macrolactin A on soil bacterial communities and ARGs using metagenomic analysis, showing changes in bacterial abundance and resistance gene representation.

This paper identifies two main biotransformation pathways of ibuprofen by Priestia megaterium, including hydroxylation and reversible glycosylation, and shows their potential role in detoxification.

This study assesses the antimicrobial effects and AMR selection potential of non-antibiotic drugs on bacterial communities using metagenomic and metatranscriptomic analyses.

The paper tests long-term and dose-dependent effects of fluoxetine on the dispersal velocity of invasive crayfish, finding a potential decrease in velocity with low-dose exposure over time.

This study examines how environmental factors shape the resistome in the Baltic Sea, finding that salinity and temperature are key drivers of ARG diversity and distribution.

The paper proposes an ecology-based method to predict no-effect concentrations for antibiotic resistance using MIC data and fitness cost estimates, suggesting regulatory thresholds should be lowered.

This study finds that fish are not effective sentinels for detecting AMR pollution from wastewater treatment plants, as their resistomes do not reflect increases in ARGs in river water and sediment.

The paper analyzes microbial taxa and antibiotic resistance genes in four ponds, linking their prevalence to environmental factors like pH and tannins.

Random forests using nucleotide-composition dissimilarity and metagenomic co-occurrence predict horizontal transfer of resistance genes between bacteria (general model AUROC 0.873); mismatch limits transfer, human and wastewater co-occurrence favors it.

The paper shows that ROS-induced stress in activated sludge processes enriches and promotes the emergence of antibiotic resistance genes, with beta-lactamases and efflux pumps being major contributors.

This study shows that jellyfish blooms create a hotspot for antimicrobial resistance gene (ARG) transmission by promoting microbial growth and horizontal gene transfer in marine environments.

This study assesses antibiotic and antimicrobial resistance in Escherichia coli from Sichuan rivers, finding high contamination and resistance rates, with specific antibiotics linked to ecological risk.

The paper identifies microbial enzymes, pathways, and hosts involved in co-metabolic degradation of 24 organic micropollutants in wastewater using multi-omics and functional group analysis.

This study examines antibiotic resistance in E. coli from Waller Creek, finding high resistance to ampicillin and erythromycin linked to urbanization and precipitation.

This study investigates how mineral surfaces affect the propagation of antibiotic resistance genes in biofilms by examining DNA uptake, viability, and transformation efficiency.

This study shows that non-antibiotic drugs enhance the selection of antimicrobial resistance when combined with ciprofloxacin, altering community composition and increasing resistance gene prevalence.

The paper investigates 'under-the-radar' antibiotic resistance in crops irrigated with treated wastewater and amended with poultry litter, revealing hidden risks through enrichment and molecular techniques.

The paper compares antibiotic-resistant bacteria in agricultural and non-agricultural soils in West Cameroon, finding higher resistance rates in agricultural soils.

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

The paper uses hydraulic modeling and field data to show that untreated sewage, not pharmaceutical waste, is the main source of antimicrobial resistance in the Musi River.

The paper isolates a novel Sphingomonas strain capable of degrading tiamulin and uses omics analysis to propose a transformation pathway for the antibiotic.

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.

This study shows a Klebsiella isolate can degrade ciprofloxacin as its sole carbon source, transforming into a culturable nanobacterium with altered growth and metabolism.

The paper investigates antibiotic resistance in marine and freshwater bacterial communities, finding higher resistance in marine environments linked to species diversity rather than urban pollution.

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

This study maps pharmaceutical environmental concentrations and predicted effects, identifying high-risk substances and therapeutic classes globally.

The paper investigates the drivers of antibiotic resistance in two Indian rivers, finding that untreated wastewater is the main source of ARGs rather than heavy metal co-selection.

CIWARS is a web server for analyzing longitudinal metagenomic data to detect antibiotic resistance genes and assess AR risks in environmental samples.