Impact of human lifestyle on the pathogenic potential of urban wastewater
Year: 2025
Type: article
Abstract: Domestic wastewater has been known for its pathogenic potential including the presence of pathogenic bacteria, virulence factor genes (VFGs) and antibiotic resistance genes (ARGs). While previous studies have investigated regional differences in microbial communities, the influence of population lifestyle factors on the pathogenic potential of wastewater microbiomes remains poorly understood. In this study, we analyzed ten Australian wastewater treatment plants (WWTPs) using Nanopore metagenomic sequencing to profile pathogens, ARGs, and VFGs, and examined their associations with health-related behaviors such as smoking, alcohol consumption, and obesity. A total of 196 pathogenic species, 951 ARG subtypes, and 380 VFGs were detected. Staphylococcus aureus was the most abundant pathogen, macB the dominant ARG, and lipooligosaccharides (LOS) the most prevalent VFG. While pathogen and ARG profiles were relatively stable across sites and showed limited association with lifestyle variables, VFG profiles demonstrated significant correlations with smoking rates, alcohol consumption, and nicotine levels in wastewater. Co-occurrence network analysis revealed strong interconnectivity among VFGs and between VFGs and ARGs, suggesting potential co-selection. Principal component analysis and diversity metrics further confirmed distinct patterns in VFG distribution across sites. These findings suggest VFGs as potentially sensitive indicators of behavioral health risks in wastewater-based epidemiology. • Staphylococcus aureus and macB were the dominant pathogen and ARG detected. • Wastewater VFGs correlated with smoking, alcohol use, and nicotine biomarkers. • Pathogen and ARG profiles were stable and less tied to lifestyle factors. • Co-occurrence networks showed strong ARG-VFG linkages in wastewater. • VFGs may serve as sensitive indicators of community-level health risks.
Source: Environmental Research
Language: English
Subfield: Pollution
Field: Environmental Science
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $3,880
OpenAlex ID: W4413138231
