Removal efficiency of antibiotic residues, antibiotic resistant bacteria, and genes across parallel secondary settling tank and membrane bioreactor treatment trains in a water reclamation plant.

Antimicrobial resistance is recognized as a potent threat to human health. Wastewater treatment facilities are viewed as hotspots for the spread of antimicrobial resistance. This study provides comprehensive data on the occurrences of 3 different antibiotic resistant opportunistic pathogens (with resistance to up to 5 antibiotics), 13 antibiotic resistant genes and intI1, and 22 different antimicrobial residues in a large water reclamation plant (176 million gallons per day) that runs a conventional Modified Ludzack-Ettinger (MLE) reactor followed by a secondary settling tank (SST) and membrane bioreactor (MBR) in parallel. All the antibiotic resistant bacteria and most of the antibiotic resistance genes were present in the raw influent, ranging from 2.5 × 102-3.7 × 106 CFU/mL and 1.2× 10-1-6.5 × 1010 GCN/mL, respectively. MBR outperformed the SST system in terms of ARB removal as the ARB targets were largely undetected in MBR effluent, with log removals ranging from 2.7 to 6.8, while SST only had log removals ranging from 0.27 to 4.6. Most of the ARG concentrations were found to have significantly higher in SST effluent than MBR permeate, and MBR had significantly higher removal efficiency for most targets (p < 0.05) except for sul1, sul2, blaOXA48, intI1 and 16S rRNA genes (p > 0.05). As for the antibiotic residues (AR), there was no significant removal from the start to the end of the treatment process, although MBR had higher removal efficiencies for azithromycin, chloramphenicol, erythromycin, erythromycin-H2O, lincomycin, sulfamethoxazole and triclosan, compared to the SST system. In conclusion, MBR outperformed SST in terms of ARB and ARGs removal. However low removal efficiencies of most AR targets were apparent.

Prevalence and characterization of antibiotic resistant bacteria in raw community sewage from diverse urban communities.

Community sewage is a useful medium for antimicrobial resistance (AMR) surveillance of populations residing in urban dwellings as it provides the resolution of tracking sources of AMR from different waste streams within a community. Antibiotic resistance profiles of 4 opportunistic pathogens were compared from 3 sewage sources: raw community sewage from 2 housing estates, a foreign workers dormitory and a pet centre. Sewage was collected from receiving manholes and a culture-based method was used to quantify opportunistic pathogens Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa and Enterococcus spp. K. pneumoniae was the most prevalent opportunistic pathogen detected while P. aeruginosa was the least abundant across the sample. A total of 892 bacterial isolates were selected for antibiotic susceptibility testing using the VITEKⓇ 2 Compact System (bioMérieux, Singapore). E. coli isolated from the pet centre exhibited higher resistance towards all 16 antibiotics tested, and P. aeruginosa showed at least 75% resistance towards the classes of antibiotics, except for carbapenems, aminoglycosides and quinolones (below 30%). For K. pneumoniae, resistance towards the classes of antibiotics was below 10%, except for penicillin and nitrofurans. Enterococcus spp. had high resistance towards gentamicin and clindamycin (both almost 100%), while resistance towards vancomycin was below 18% for all 4 locations. Multidrug resistant (MDR) P. aeruginosa and Enterococcus spp. showed the highest prevalence with percentages above 96%. MDR E. coli and MDR K. pneumoniae was lower, ranging between 9% to 54% and 8% to 23% respectively. Highest prevalence of MDR E. coli and K. pneumoniae were detected in the pet centre, with a percentage of 54% and 23% respectively. These results show that wastewater based surveillance is not only a useful method of understanding emerging trends of AMR across the community but also provides the resolution of capturing AMR data from key sewage sources based on population demographics. This information could provide a basis for devising better control measures to mitigate the spread of MDR.