Profiling of emerging pathogens, antibiotic resistance genes and mobile genetic elements in different biological wastewater treatment plants. Issue 3 (June 2022)

• Record Type: Journal Article
• Authors: Conco, Thobela; Kumari, Sheena; Awolusi, Oluyemi Olatunji; Allam, Mushal; Ismail, Arshad; Stenström, Thor A.; Bux, Faizal
• Is Part Of: Journal of environmental chemical engineering. Volume 10:Issue 3(2022)
• Publication Date: 2022-06
• Subjects: Wastewater -- Metagenomics -- Antibiotic resistant bacteria -- Antibiotic resistant genes -- Mobile genetic elements; Chemical engineering -- Environmental aspects -- Periodicals; Environmental engineering -- Periodicals; Chemical engineering -- Environmental aspects; Environmental engineering; Periodicals; 660.0286
• DOI: 10.1016/j.jece.2022.107596
• Languages: English
• ISSNs: 2213-2929

Abstract

Abstract: The emergence and spread of antibiotic resistance through insufficiently treated effluents from wastewater treatment systems are detrimental to the receiving environment and human health. Metagenomic and transcriptomic approaches were employed to assess the diversity and the removal of bacterial pathogens, antibiotic-resistant genes (ARGs) and mobile genetic elements (MGEs) in three wastewater treatment plants (WWTPs) in Durban, South Africa. In total, 23 pathogenic bacterial genera, including enteric and emerging opportunistic pathogens, were found abundant in the samples. Aeromonas and Acinetobacter spp were the most dominant pathogens detected in the influent metagenomes, while the influent transcripts showed Escherichia and Acinetobacter spp as the most dominant pathogens. Shannon-Wiener indices showed that the bacterial diversity increased from influents to final effluents in two selected treatment plants. ARG types, including those conferring resistance to aminoglycosides, beta-lactamases, tetracycline and sulfonamide were abundant in both influent and effluent samples. Results further exposed that MGE-ARGs associations were the main drivers of ARG persistence into final effluents. This included 5 plasmids: R338-R151 ( sulI ), pRH-1238 ( strB ), pPM91 ( aadA ), pRH-1238 ( aadA4–5 ), pRH-1238 ( sulII ); two class 1 integrons ( aadA and arr) and 1 transposon Tn4351( tetX ). In transcripts, MGE-ARG association showed two plasmids: pRH-1238 ( aadA ) and pPM91( aadA ) and one hybrid plasmid R338-R151 ( sulI ). It was apparent across all the WWTPs that chlorination had little or no effect on MGE-ARG association . Combined, this study has highlighted the presence of bacterial pathogens, ARGs and MGEs in treated effluents, which can encourage the propagation of antibiotic resistance and potential sharing of genes in the downstream environments. Graphical Abstract: ga1 Highlights: Metagenomic and transcriptomic profiling of pathogens and antibiotic resistant genes and MGEs in wastewater in South Africa. Aeromonas and Acinetobacter spp were the most dominant pathogens detected in the influent metagenomes. Escherichia and Acinetobacter were the most abundant in the trsncripts. Antibiotic resistant genes aaminoglycosides, beta-lactamases, tetracycline and sulfonamide were the most abundant. Chlorination has little or no effect on MGE-ARG association was apparent across all WWTPs.