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Massachusetts Institute of Technology

Multi-site sampling and risk prioritization of antibiotic resistance genes in sewage environments

Abstract

dc:description.abstract

The spread of antibiotic resistance across human and environmental habitats is a global public health challenge. In this study, we investigate the public health relevance of antibiotic resistance found in wastewater by combining metagenomic sequencing of wastewater environments with risk prioritization of resistance genes. We find that many of the genes commonly found in wastewater are not readily present in humans. Ranking antibiotic resistance genes based on their potential pathogenicity and mobility reveals that most of the antibiotic resistance genes in wastewater are not directly clinically relevant. Residential sewage was found to be of greater risk to human health than wastewater treatment plants and can be as risky as hospital effluent. Across countries, we show that differences in antibiotic resistance can, in some cases, resemble differences in antibiotic drug consumption. Finally, we find that the flow of antibiotic resistance genes is influenced by geographical distance and environmental selection.

Degree

thesis:*
Name thesis:degree_name
Master
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2019

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Dai, Chengzhen L.
Advisor dc:contributor.advisor
  • Eric Alm.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/121666
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/121666

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Dai, Chengzhen L.. Multi-site sampling and risk prioritization of antibiotic resistance genes in sewage environments. Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/121666