ArticlePloS one2015
Predictive Studies Suggest that the Risk for the Selection of Antibiotic Resistance by Biocides Is Likely Low in Stenotrophomonas maltophilia.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 24 citations in OpenAlex.
- Phenotype microarray-based assessment of metabolic variability in plant protoplasts.Plant methods · 2025Article
- Multidrug-resistant Stenotrophomonas maltophilia in residential aged care facilities: An emerging threat.MicrobiologyOpen · 2024Article
- Disinfectants and antiseptics: mechanisms of action and resistance.Nature reviews. Microbiology · 2024Review
- Biosensors for Inducers of Transient Antibiotic Resistance.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Versatility ofHeliyon · 2023Review
- Tackling antibiotic resistance by inducing transient and robust collateral sensitivity.Nature communications · 2023Article
- Impact of benzalkonium chloride, benzethonium chloride and chloroxylenol on bacterial antimicrobial resistance.Journal of applied microbiology · 2022Review
- Advances in the Microbiology of Stenotrophomonas maltophilia.Clinical microbiology reviews · 2021Article
- Novel Inducers of the Expression of Multidrug Efflux Pumps That TriggerAntimicrobial agents and chemotherapy · 2019Article
- Biolog Phenotype Microarray Is a Tool for the Identification of Multidrug Resistance Efflux Pump Inducers.Antimicrobial agents and chemotherapy · 2018Article
- Resistance of Bacteria to Biocides.Microbiology spectrum · 2018Review
- Bacterial Multidrug Efflux Pumps: Much More Than Antibiotic Resistance Determinants.Microorganisms · 2016Review
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 3 countries.
Funding
Abstract
Biocides are used without restriction for several purposes. As a consequence, large amounts of biocides are released without any control in the environment, a situation that can challenge the microbial population dynamics, including selection of antibiotic resistant bacteria. Previous work has shown that triclosan selects Stenotrophomonas maltophilia antibiotic resistant mutants overexpressing the efflux pump SmeDEF and induces expression of this pump triggering transient low-level resistance. In the present work we analyze if two other common biocides, benzalkonium chloride and hexachlorophene, trigger antibiotic resistance in S. maltophilia. Bioinformatic and biochemical methods showed that benzalkonium chloride and hexachlorophene bind the repressor of smeDEF, SmeT. Only benzalkonium chloride triggers expression of smeD and its effect in transient antibiotic resistance is minor. None of the hexachlorophene-selected mutants was antibiotic resistant. Two benzalkonium chloride resistant mutants presented reduced susceptibility to antibiotics and were impaired in growth. Metabolic profiling showed they were more proficient than their parental strain in the use of some dipeptides. We can then conclude that although bioinformatic predictions and biochemical studies suggest that both hexachlorophene and benzalkonium chloride should induce smeDEF expression leading to transient S. maltophilia resistance to antibiotics, phenotypic assays showed this not to be true. The facts that hexachlorophene resistant mutants are not antibiotic resistant and that the benzalkonium chloride resistant mutants presenting altered susceptibility to antibiotics were impaired in growth suggests that the risk for the selection (and fixation) of S. maltophilia antibiotic resistant mutants by these biocides is likely low, at least in the absence of constant selection pressure.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.