Your browser doesn't support javascript.
loading
Metagenomic Profiling of Internationally Sourced Sewage Influents and Effluents Yields Insight into Selecting Targets for Antibiotic Resistance Monitoring.
Garner, Emily; Maile-Moskowitz, Ayella; Angeles, Luisa F; Flach, Carl-Fredrik; Aga, Diana S; Nambi, Indumathi; Larsson, D G Joakim; Bürgmann, Helmut; Zhang, Tong; Vikesland, Peter J; Pruden, Amy.
Afiliação
  • Garner E; Wadsworth Department of Civil and Environmental Engineering, West Virginia University, Morgantown, West Virginia 26505, United States.
  • Maile-Moskowitz A; Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States.
  • Angeles LF; Department of Chemistry, University at Buffalo, Buffalo, New York 14260, United States.
  • Flach CF; Institute of Biomedicine, Department of Infectious Diseases, Centre for Antibiotic Resistance Research in Gothenburg (CARe), University of Gothenburg, Västra Götaland, SE-405 30 Gothenburg, Sweden.
  • Aga DS; Department of Chemistry, University at Buffalo, Buffalo, New York 14260, United States.
  • Nambi I; Department of Civil Engineering, Indian Institute of Technology, Madras, Chennai 600036, India.
  • Larsson DGJ; Institute of Biomedicine, Department of Infectious Diseases, Centre for Antibiotic Resistance Research in Gothenburg (CARe), University of Gothenburg, Västra Götaland, SE-405 30 Gothenburg, Sweden.
  • Bürgmann H; Eawag: Swiss Federal Institute of Aquatic Science and Technology, Kastanienbaum CH-6047, Switzerland.
  • Zhang T; Department of Civil Engineering, The University of Hong Kong, Pokfulam 999077, Hong Kong.
  • Vikesland PJ; Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States.
  • Pruden A; Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States.
Environ Sci Technol ; 58(37): 16547-16559, 2024 Sep 17.
Article em En | MEDLINE | ID: mdl-39229966
ABSTRACT
It has been debated whether wastewater treatment plants (WWTPs) primarily act to attenuate or amplify antibiotic resistance genes (ARGs). However, ARGs are highly diverse with respect to their resistance mechanisms, mobilities, and taxonomic hosts and therefore their behavior in WWTPs should not be expected to be universally conserved. We applied metagenomic sequencing to wastewater influent and effluent samples from 12 international WWTPs to classify the behavior of specific ARGs entering and exiting WWTPs. In total, 1079 different ARGs originating from a variety of bacteria were detected. This included ARGs that could be mapped to assembled scaffolds corresponding to nine human pathogens. While the relative abundance (per 16S rRNA gene) of ARGs decreased during treatment at 11 of the 12 WWTPs sampled and absolute abundance (per mL) decreased at all 12 WWTPs, increases in relative abundance were observed for 40% of the ARGs detected at the 12th WWTP. Also, the relative abundance of mobile genetic elements (MGE) increased during treatment, but the fraction of ARGs known to be transmissible between species decreased, thus demonstrating that increased MGE prevalence may not be generally indicative of an increase in ARGs. A distinct conserved resistome was documented in both influent and effluent across samples, suggesting that well-functioning WWTPs generally attenuate influent antibiotic resistance loads. This work helps inform strategies for wastewater surveillance of antibiotic resistance, highlighting the utility of tracking ARGs as indicators of treatment performance and relative risk reduction.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Esgotos / Resistência Microbiana a Medicamentos / Metagenômica / Águas Residuárias Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Esgotos / Resistência Microbiana a Medicamentos / Metagenômica / Águas Residuárias Idioma: En Ano de publicação: 2024 Tipo de documento: Article