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      Unraveling Enterococcus susceptibility to quaternary ammonium compounds: genes, phenotypes, and the impact of environmental conditions

      research-article
      1 , 2 , 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 4 , 5 , 1 , 2 , 1 , 2 , 12 , 1 , 2 , , from the ESCMID Study Group on Food- and Water-borne Infections (EFWISG)
      Microbiology Spectrum
      American Society for Microbiology
      Bacillota, biocide, disinfection, One Health

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          ABSTRACT

          Quaternary ammonium compounds (QACs) have been extensively used in the community, healthcare facilities, and food chain, in concentrations between 20 and 30,000 mg/L. Enterococcus faecalis and Enterococcus faecium are ubiquitous in these settings and are recognized as nosocomial pathogens worldwide, but QACs’ activity against strains from diverse epidemiological and genomic backgrounds remained largely unexplored. We evaluated the role of Enterococcus isolates from different sources, years, and clonal lineages as hosts of QACs tolerance genes and their susceptibility to QACs in optimal, single-stress and cross-stress growth conditions. Only 1% of the Enterococcus isolates included in this study and 0.5% of publicly available Enterococcus genomes carried qacA/B, qacC, qacG, qacJ, qacZ, qrg, bcrABC or oqxAB genes, shared with >60 species of Bacillota, Pseudomonadota, Actinomycetota, or Spirochaetota. These genes were generally found within close proximity of antibiotics and/or metals resistance genes. The minimum inhibitory concentrations (MIC) and minimum bactericidal concentrations (MBC) of benzalkonium chloride (BC) and didecyldimethylammonium chloride ranged between 0.5 and 4 mg/L (microdilution: 37°C/20 h/pH = 7/aerobiosis) for 210 E. faecalis and E. faecium isolates (two isolates carrying qacZ). Modified growth conditions (e.g., 22°C/pH = 5) increased MIC BC/MBC BC (maximum of eightfold and MBC BC = 16 mg/L) and changed bacterial growth kinetics under BC toward later stationary phases in both species, including in isolates without QACs tolerance genes. In conclusion, Enterococcus are susceptible to in-use QACs concentrations and rarely carry QACs tolerance genes. However, their potential gene exchange with different microbiota, the decreased susceptibility to QACs under specific environmental conditions, and the presence of subinhibitory QACs concentrations in various settings may contribute to the selection of particular strains and, thus, require a One Health strategy to maintain QACs effectiveness.

          IMPORTANCE

          Despite the increasing use of quaternary ammonium compounds (QACs), the susceptibility of pathogens to these antimicrobials remains largely unknown. Enterococcus faecium and Enterococcus faecalis are susceptible to in-use QACs concentrations and are not main hosts of QACs tolerance genes but participate in gene transfer pathways with diverse bacterial taxa exposed to these biocides. Moreover, QACs tolerance genes often share the same genetic contexts with antibiotics and/or metals resistance genes, raising concerns about potential co-selection events. E. faecium and E. faecalis showed increased tolerance to benzalkonium chloride under specific environmental conditions (22°C, pH = 5), suggesting that strains might be selected in settings where they occur along with subinhibitory QACs concentrations. Transcriptomic studies investigating the cellular mechanisms of Enterococcus adaptation to QACs tolerance, along with longitudinal metadata analysis of tolerant populations dynamics under the influence of diverse environmental factors, are essential and should be prioritized within a One Health strategy.

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          Basic local alignment search tool.

          A new approach to rapid sequence comparison, basic local alignment search tool (BLAST), directly approximates alignments that optimize a measure of local similarity, the maximal segment pair (MSP) score. Recent mathematical results on the stochastic properties of MSP scores allow an analysis of the performance of this method as well as the statistical significance of alignments it generates. The basic algorithm is simple and robust; it can be implemented in a number of ways and applied in a variety of contexts including straightforward DNA and protein sequence database searches, motif searches, gene identification searches, and in the analysis of multiple regions of similarity in long DNA sequences. In addition to its flexibility and tractability to mathematical analysis, BLAST is an order of magnitude faster than existing sequence comparison tools of comparable sensitivity.
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            Easyfig: a genome comparison visualizer

            Summary: Easyfig is a Python application for creating linear comparison figures of multiple genomic loci with an easy-to-use graphical user interface. BLAST comparisons between multiple genomic regions, ranging from single genes to whole prokaryote chromosomes, can be generated, visualized and interactively coloured, enabling a rapid transition between analysis and the preparation of publication quality figures. Availability: Easyfig is freely available (under a GPL license) for download (for Mac OS X, Unix and Microsoft Windows) from the SourceForge web site: http://easyfig.sourceforge.net/. Contact: s.beatson@uq.edu.au
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              Open-access bacterial population genomics: BIGSdb software, the PubMLST.org website and their applications

              The PubMLST.org website hosts a collection of open-access, curated databases that integrate population sequence data with provenance and phenotype information for over 100 different microbial species and genera.  Although the PubMLST website was conceived as part of the development of the first multi-locus sequence typing (MLST) scheme in 1998 the software it uses, the Bacterial Isolate Genome Sequence database (BIGSdb, published in 2010), enables PubMLST to include all levels of sequence data, from single gene sequences up to and including complete, finished genomes.  Here we describe developments in the BIGSdb software made from publication to June 2018 and show how the platform realises microbial population genomics for a wide range of applications.  The system is based on the gene-by-gene analysis of microbial genomes, with each deposited sequence annotated and curated to identify the genes present and systematically catalogue their variation.  Originally intended as a means of characterising isolates with typing schemes, the synthesis of sequences and records of genetic variation with provenance and phenotype data permits highly scalable (whole genome sequence data for tens of thousands of isolates) means of addressing a wide range of functional questions, including: the prediction of antimicrobial resistance; likely cross-reactivity with vaccine antigens; and the functional activities of different variants that lead to key phenotypes.  There are no limitations to the number of sequences, genetic loci, allelic variants or schemes (combinations of loci) that can be included, enabling each database to represent an expanding catalogue of the genetic variation of the population in question.  In addition to providing web-accessible analyses and links to third-party analysis and visualisation tools, the BIGSdb software includes a RESTful application programming interface (API) that enables access to all the underlying data for third-party applications and data analysis pipelines.
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                Author and article information

                Contributors
                Role: Formal analysisRole: InvestigationRole: MethodologyRole: SoftwareRole: Writing – original draftRole: Writing – review and editing
                Role: Formal analysisRole: Funding acquisitionRole: Writing – review and editing
                Role: InvestigationRole: Writing – review and editing
                Role: Formal analysisRole: Writing – review and editing
                Role: Formal analysisRole: Writing – review and editing
                Role: Formal analysisRole: Writing – review and editing
                Role: Formal analysisRole: Writing – review and editing
                Role: Formal analysisRole: Funding acquisitionRole: SupervisionRole: Writing – review and editing
                Role: Formal analysisRole: Funding acquisitionRole: MethodologyRole: SupervisionRole: Writing – review and editing
                Role: ConceptualizationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: SoftwareRole: SupervisionRole: Writing – original draftRole: Writing – review and editing
                Role: Editor
                Journal
                Microbiol Spectr
                Microbiol Spectr
                Spectrum
                Microbiology Spectrum
                American Society for Microbiology (1752 N St., N.W., Washington, DC )
                2165-0497
                Sep-Oct 2023
                22 September 2023
                22 September 2023
                : 11
                : 5
                : e02324-23
                Affiliations
                [1 ] UCIBIO-Applied Molecular Biosciences Unit, Laboratory of Microbiology, Faculty of Pharmacy, University of Porto; , Porto, Portugal
                [2 ] Associate Laboratory i4HB - Institute for Health and Bioeconomy, Laboratory of Microbiology, Faculty of Pharmacy, University of Porto; , Porto, Portugal
                [3 ] Faculty of Nutrition and Food Sciences, University of Porto; , Porto, Portugal
                [4 ] Laboratori de Recerca en Microbiologia i Malalties Infeccioses, Parc Taulí Hospital Universitari, Institut d’Investigació i Innovació Parc Taulí (I3PT-CERCA), Universitat Autònoma de Barcelona; , Sabadell, Spain
                [5 ] Institut de Biotecnologia i Biomedicina, Universitat Autònoma de Barcelona; , Bellaterra, Spain
                [6 ] Department of Medical Microbiology, University Medical Center Utrecht; , Utrecht, the Netherlands
                [7 ] Department of Biostatistics, Faculty of Medicine, University of Oslo; , Oslo, Norway
                [8 ] Parasites and Microbes, Wellcome Sanger Institute; , Cambridge, UK
                [9 ] Department of Mathematics and Statistics, Helsinki Institute of Information Technology, University of Helsinki; , Helsinki, Finland
                [10 ] Servicio de Microbiologia, Hospital Universitario Ramón y Cajal; , Madrid, Spain
                [11 ] Centro de Investigación Biomédica en Enfermedades Infecciosas (CIBERINFEC); , Madrid, Spain
                [12 ] 1H-TOXRUN, One Health Toxicology Research Unit, University Institute of Health Sciences, CESPU, CRL.; , Gandra, Portugal
                University at Albany; , Albany, New York, USA
                Author notes
                Address correspondence to Carla Novais, casilva@ 123456ff.up.pt

                The authors declare no conflict of interest.

                Author information
                https://orcid.org/0000-0003-3470-253X
                https://orcid.org/0000-0002-3553-2678
                https://orcid.org/0000-0002-3826-6731
                Article
                02324-23 spectrum.02324-23
                10.1128/spectrum.02324-23
                10581157
                37737589
                1a9ccb2c-bee3-44c1-9f2f-933923622c5a
                Copyright © 2023 Pereira et al.

                This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.

                History
                : 04 June 2023
                : 24 July 2023
                Page count
                supplementary-material: 1, authors: 10, Figures: 4, References: 89, Pages: 18, Words: 10986
                Funding
                Funded by: MEC | Fundação para a Ciência e a Tecnologia (FCT);
                Award ID: SFRH/BD/144401/2019
                Award Recipient :
                Funded by: MEC | Fundação para a Ciência e a Tecnologia (FCT);
                Award ID: CEECIND/02268/2017
                Award Recipient :
                Funded by: MEC | Fundação para a Ciência e a Tecnologia (FCT);
                Award ID: 2022.02124.PTDC, UIDP/04378/2020, UIDB/04378/2020, LA/P/0140/2020
                Award Recipient :
                Funded by: EC | European Regional Development Fund (ERDF);
                Award ID: NORTE-01-0145-FEDER-000041
                Award Recipient : Award Recipient :
                Funded by: MEC | Instituto de Salud Carlos III (ISCIII);
                Award ID: FI20/00009
                Award Recipient :
                Funded by: MEC | Instituto de Salud Carlos III (ISCIII);
                Award ID: MV22/00032
                Award Recipient :
                Categories
                Research Article
                epidemiology, Epidemiology
                Custom metadata
                September/October 2023

                bacillota,biocide,disinfection,one health
                bacillota, biocide, disinfection, one health

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