Background: High-throughput genomic technologies offer new approaches for environmental health monitoring, including metagenomic surveillance of antibiotic resistance determinants (ARDs). Although natural environments serve as reservoirs for antibiotic resistance genes that can be transferred to pathogenic and human commensal bacteria, monitoring of these determinants has been infrequent and incomplete. Furthermore, surveillance efforts have not been integrated into public health decision making.
Objectives: We used a metagenomic epidemiology鈥揵ased approach to develop an ARD index that quantifies antibiotic resistance potential, and we analyzed this index for common modal patterns across environmental samples. We also explored how metagenomic data such as this index could be conceptually framed within an early risk management context.
Methods: We analyzed 25 published data sets from shotgun pyrosequencing projects. The samples consisted of microbial community DNA collected from marine and freshwater environments across a gradient of human impact. We used principal component analysis to identify index patterns across samples.
Results: We observed significant differences in the overall index and index subcategory levels when comparing ecosystems more proximal versus distal to human impact. The selection of different sequence similarity thresholds strongly influenced the index measurements. Unique index subcategory modes distinguished the different metagenomes.
Conclusions: Broad-scale screening of ARD potential using this index revealed utility for framing environmental health monitoring and surveillance. This approach holds promise as a screening tool for establishing baseline ARD levels that can be used to inform and prioritize decision making regarding management of ARD sources and human exposure routes.
1Department of Environmental and Occupational Health Sciences, and 2The Institute for Risk Analysis and Risk Communication, School of Public Health, University of Washington, Seattle, Washington, USA; 3Evans School of Public Affairs, University of Washington, Seattle, Washington, USA
Recommended Citation:
Jesse A. Port,1,2 Alison C. Cullen,et al. Metagenomic Frameworks for Monitoring Antibiotic Resistance in Aquatic Environments[J]. Environmental Health Perspectives,2014-01-01,Volume 122(Issue 3):222