ArticleEnvironmental health perspectives2014
Metagenomic frameworks for monitoring antibiotic resistance in aquatic environments.
Article in Environmental health perspectives, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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Who cites it
36 citing papers in PubMed.
- Artificial intelligence for early detection and risk prediction of antimicrobial resistance in aquatic ecosystems.npj antimicrobials and resistance · 2026Review
- Global in silico genomic epidemiology of tetracycline resistance in Staphylococcus aureus: one health dynamics and genotype-phenotype associations.Molecular genetics and genomics : MGG · 2026Article
- Plastics as vectors for pathogens and antibiotic resistance genes in aquatic systems.Water science and technology : a journal of the International Association on Water Pollution Research · 2026Review
- Enriching the future of public health microbiology with hybridization bait capture.Clinical microbiology reviews · 2024Review
- Article
- Occurrence characteristics and influencing factors of antibiotic resistance genes in rural groundwater in Henan Province.Environmental science and pollution research international · 2024Article
- Bacterial diversity in the aquatic system in India based on metagenome analysis-a critical review.Environmental science and pollution research international · 2023Review
- BADASS: BActeriocin-Diversity ASsessment Software.BMC bioinformatics · 2023Article
- Marine bacteria harbor the sulfonamide resistance geneFrontiers in microbiology · 2023Article
- Article
- A review of the emergence of antibiotic resistance in bioaerosols and its monitoring methods.Re/views in environmental science and bio/technology · 2022Review
- A review of the resistome within the digestive tract of livestock.Journal of animal science and biotechnology · 2021Review
- Investigation of the Prevalence of Antibiotic Resistance Genes According to the Wastewater Treatment Scale Using Metagenomic Analysis.Antibiotics (Basel, Switzerland) · 2021Article
- MEGARes 2.0: a database for classification of antimicrobial drug, biocide and metal resistance determinants in metagenomic sequence data.Nucleic acids research · 2020Article
- Theoretical study of the adsorption characteristics and the environmental influence of ornidazole on the surface of photocatalyst TiOScientific reports · 2019Article
- Characterization of the Microbial Resistome in Conventional and "Raised Without Antibiotics" Beef and Dairy Production Systems.Frontiers in microbiology · 2019Article
- The diversity of uncharacterized antibiotic resistance genes can be predicted from known gene variants-but not always.Microbiome · 2018Article
- Taxon-Driven Functional Shifts Associated with Storm Flow in an Urban Stream Microbial Community.mSphere · 2018Article
- Unbiased Strain-Typing of Arbovirus Directly from Mosquitoes Using Nanopore Sequencing: A Field-forward Biosurveillance Protocol.Scientific reports · 2018Article
- Metagenomics Reveals the Impact of Wastewater Treatment Plants on the Dispersal of Microorganisms and Genes in Aquatic Sediments.Applied and environmental microbiology · 2018Article
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5 authors.
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Abstract
backgroundHigh-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.
objectivesWe used a metagenomic epidemiology-based 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.
methodsWe 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.
resultsWe 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.
conclusionsBroad-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. CITATION: Port JA, Cullen AC, Wallace JC, Smith MN, Faustman EM. 2014. Metagenomic frameworks for monitoring antibiotic resistance in aquatic environments. Environ Health Perspect 122:222–228; http://dx.doi.org/10.1289/ehp.1307009
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