Environmentally Relevant Antibiotic Concentrations Exert Stronger Selection Pressure on River Biofilm Resistomes than AMR-Reservoir Effluents

• Published in: Antibiotics (Basel) Vol. 13; no. 6; p. 539
• Main Authors: Flores-Vargas, Gabriela, Bergsveinson, Jordyn, Korber, Darren R
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 01-06-2024; MDPI
• Subjects: Abundance; Antibiotics; Antimicrobial agents; Bacteria; biofilm; Biofilms; Cell membranes; community; Dilution; Drug resistance; Effluents; Energy metabolism; Exposure; Flow velocity; Fresh water; Freshwater environments; Genes; Heavy metals; hotspot; Low concentrations; Manures; Metagenomics; Microbial activity; Microorganisms; mobilome; Municipal wastewater; Oxytetracycline; Pathogens; Physical properties; Physiological aspects; Pig manure; Purification; reservoir; resistome; Risk assessment; Sewage; Structural integrity; Virulence; Wastewater; Wastewater treatment; Wastewater treatment plants; Water; Water treatment plants; Saskatchewan River; hotspot; biofilm; resistome; reservoir; community; antibiotics; microbiome; mobilome
• ISSN: 2079-6382; 2079-6382
• DOI: 10.3390/antibiotics13060539

Freshwater environments are primary receiving systems of wastewater and effluents, which carry low concentrations of antibiotics and antimicrobial-resistant (AMR) bacteria and genes. Aquatic microbial communities are thus exposed to environmentally relevant concentrations of antibiotics (ERCA) that presumably influence the acquisition and spread of environmental AMR. Here, we analyzed ERCA exposure with and without the additional presence of municipal wastewater treatment plant effluent (W) and swine manure run-off (M) on aquatic biofilm resistomes. Microscopic analyses revealed decreased taxonomic diversity and biofilm structural integrity, while metagenomic analysis revealed an increased abundance of resistance, virulence, and mobile element-related genes at the highest ERCA exposure levels, with less notable impacts observed when solely exposed to W or M effluents. Microbial function predictions indicated increased gene abundance associated with energy and cell membrane metabolism and heavy metal resistance under ERCA conditions. In silico predictions of increased resistance mechanisms did not correlate with observed phenotypic resistance patterns when whole communities were exposed to antimicrobial susceptibility testing. This reveals important insight into the complexity of whole-community coordination of physical and genetic responses to selective pressures. Lastly, the environmental AMR risk assessment of metagenomic data revealed a higher risk score for biofilms grown at sub-MIC antibiotic conditions.