ArticleEnvironmental health perspectives2020
The 'SELection End points in Communities of bacTeria' (SELECT) Method: A Novel Experimental Assay to Facilitate Risk Assessment of Selection for Antimicrobial Resistance in the Environment.
Article in Environmental health perspectives, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
18 citing papers in PubMed.
- Explainable Stacked Ensemble Learning for Predicting Antibiotic Residues in the Danube River Within the Territory of the City of Novi Sad, Serbia.Antibiotics (Basel, Switzerland) · 2026Article
- Potential of the livestock industry environment as a reservoir for spreading antimicrobial resistance.Open veterinary journal · 2025Review
- Common non-antibiotic drugs enhance selection for antimicrobial resistance in mixture with ciprofloxacin.ISME communications · 2025Article
- Synergizing Ecotoxicology and Microbiome Data Is Key for Developing Global Indicators of Environmental Antimicrobial Resistance.Microbial ecology · 2024Review
- Selective colonization of microplastics, wood and glass by antimicrobial-resistant and pathogenic bacteria.Microbiology (Reading, England) · 2024Article
- Contrary effects of increasing temperatures on the spread of antimicrobial resistance in river biofilms.mSphere · 2024Article
- Article
- Interspecies interaction reduces selection for antibiotic resistance in Escherichia coli.Communications biology · 2023Article
- Environmental surveillance of antimicrobial resistance (AMR), perspectives from a national environmental regulator in 2023.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2023Article
- Culturing the Plastisphere: comparing methods to isolate culturable bacteria colonising microplastics.Frontiers in microbiology · 2023Article
- Antibiotic Minimal Selective Concentrations and Fitness Costs during Biofilm and Planktonic Growth.mBio · 2022Article
- Default predicted no-effect target concentrations for antibiotics in the absence of data for the protection against antibiotic resistance and environmental toxicity.Integrated environmental assessment and management · 2022Article
- Antibiotic resistance in the environment.Nature reviews. Microbiology · 2022Review
- Antifungal Exposure and Resistance Development: Defining Minimal Selective Antifungal Concentrations and Testing Methodologies.Frontiers in fungal biology · 2022Article
- Existing evidence on antibiotic resistance exposure and transmission to humans from the environment: a systematic map.Environmental evidence · 2022Article
- River Biofilms Microbiome and Resistome Responses to Wastewater Treatment Plant Effluents Containing Antibiotics.Frontiers in microbiology · 2022Article
- Maximum levels of cross-contamination for 24 antimicrobial active substances in non-target feed. Part 1:EFSA journal. European Food Safety Authority · 2021Article
- Microbial model communities: To understand complexity, harness the power of simplicity.Computational and structural biotechnology journal · 2020Review
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
backgroundAntimicrobial resistance (AMR) is one of the most significant health threats to society. A growing body of research demonstrates selection for AMR likely occurs at environmental concentrations of antibiotics. However, no standardized experimental approaches for determining selective concentrations of antimicrobials currently exist, preventing appropriate environmental and human health risk assessment of AMR.
objectivesWe aimed to design a rapid, simple, and cost-effective novel experimental assay to determine selective effect concentrations of antibiotics and to generate the largest experimental data set of selective effect concentrations of antibiotics to date.
methodsPreviously published methods and data were used to validate the assay, which determines the effect concentration based on reduction of bacterial community (wastewater) growth. Risk quotients for test antibiotics were generated to quantify risk.
resultsThe assay (SELection End points in Communities of bacTeria, or the SELECT method) was used to rapidly determine selective effect concentrations of antibiotics. These were in good agreement with quantitative polymerase chain reaction effect concentrations determined within the same experimental system. The SELECT method predicted no effect concentrations were minimally affected by changes in the assay temperature, growth media, or microbial community used as the inoculum. The predicted no effect concentrations for antibiotics tested ranged from DISCUSSION: The lack of evidence demonstrating environmental selection for AMR, and of associated human health risks, is a primary reason for the lack of action in the mitigation of release of antibiotics into the aquatic environment. We present a novel method that can reliably and rapidly fill this data gap to enable regulation and subsequent mitigation (where required) to lower the risk of selection for, and human exposure to, AMR in aquatic environments. In particular, ciprofloxacin and, to a lesser extent, azithromycin, cefotaxime, and trimethoprim all pose a significant risk for selection of AMR in the environment. https://doi.org/10.1289/EHP6635.
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