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      Parallel evolution of linezolid-resistant Staphylococcus aureus in patients with cystic fibrosis

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          ABSTRACT

          Linezolid is an antibiotic used to treat serious Staphylococcus aureus infections. Resistance to linezolid is considered rare but could emerge with repeated dosing. We recently reported widespread prescription of linezolid for a cohort of patients with cystic fibrosis (CF). The goals of this study were to determine the incidence of linezolid-resistant methicillin-resistant Staphylococcus aureus (MRSA) in CF and identify molecular mechanisms for linezolid resistance. We identified patients who cultured S. aureus resistant to linezolid with minimum inhibitory concentration (MIC) >4 at the University of Iowa CF Center between 2008 and 2018. We obtained isolates from these patients and retested susceptibility to linezolid using broth microdilution. We used whole genome sequencing to perform phylogenetic analysis of linezolid-resistant isolates and examine sequences for mutations or accessory genes that confer linezolid resistance. Between 2008 and 2018, 111 patients received linezolid, and 4 of these patients cultured linezolid-resistant S. aureus. We sequenced 11 resistant and 21 susceptible isolates from these 4 subjects. Phylogenetic analysis indicated that linezolid resistance developed in ST5 or ST105 backgrounds. Three individuals had linezolid-resistant S. aureus with a G2576T mutation in 23S rRNA. One of these subjects additionally had a mutS mutL hypermutating S. aureus that produced five resistant isolates with multiple ribosomal subunit mutations. In one subject, the genetic basis for linezolid resistance was unclear. We conclude that linezolid resistant S. aureus can occur through multiple genetic mechanisms in patients with repeated exposure to this antibiotic.

          IMPORTANCE

          Patients with cystic fibrosis have persistent lung infections with Staphylococcus aureus that require extensive antibiotic treatments. Linezolid, an antibiotic given by oral or intravenous route, is prescribed repeatedly for patients whose lung disease has progressed. After treatment with linezolid, S. aureus strains can evolve antibiotic resistance through multiple genetic mechanisms. In addition to a common mutation in the 23S ribosomal RNA known to confer linezolid resistance, S. aureus strains can evolve novel resistance based on a combination of mutations affecting the bacterial ribosome. This combination of mutations was observed in a strain that exhibited hypermutation owing to the loss of the DNA repair genes mutS and mutL. In this cohort of patients with cystic fibrosis, linezolid resistance was transient, possibly due to the growth disadvantage of resistant strains. However, ongoing chronic exposure to linezolid may create optimal conditions for the future emergence of resistance to this critical antibiotic.

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          Most cited references51

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          RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies

          Motivation: Phylogenies are increasingly used in all fields of medical and biological research. Moreover, because of the next-generation sequencing revolution, datasets used for conducting phylogenetic analyses grow at an unprecedented pace. RAxML (Randomized Axelerated Maximum Likelihood) is a popular program for phylogenetic analyses of large datasets under maximum likelihood. Since the last RAxML paper in 2006, it has been continuously maintained and extended to accommodate the increasingly growing input datasets and to serve the needs of the user community. Results: I present some of the most notable new features and extensions of RAxML, such as a substantial extension of substitution models and supported data types, the introduction of SSE3, AVX and AVX2 vector intrinsics, techniques for reducing the memory requirements of the code and a plethora of operations for conducting post-analyses on sets of trees. In addition, an up-to-date 50-page user manual covering all new RAxML options is available. Availability and implementation: The code is available under GNU GPL at https://github.com/stamatak/standard-RAxML. Contact: alexandros.stamatakis@h-its.org Supplementary information: Supplementary data are available at Bioinformatics online.
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            Prokka: rapid prokaryotic genome annotation.

            T Seemann (2014)
            The multiplex capability and high yield of current day DNA-sequencing instruments has made bacterial whole genome sequencing a routine affair. The subsequent de novo assembly of reads into contigs has been well addressed. The final step of annotating all relevant genomic features on those contigs can be achieved slowly using existing web- and email-based systems, but these are not applicable for sensitive data or integrating into computational pipelines. Here we introduce Prokka, a command line software tool to fully annotate a draft bacterial genome in about 10 min on a typical desktop computer. It produces standards-compliant output files for further analysis or viewing in genome browsers. Prokka is implemented in Perl and is freely available under an open source GPLv2 license from http://vicbioinformatics.com/. © The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.
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              Unicycler: Resolving bacterial genome assemblies from short and long sequencing reads

              The Illumina DNA sequencing platform generates accurate but short reads, which can be used to produce accurate but fragmented genome assemblies. Pacific Biosciences and Oxford Nanopore Technologies DNA sequencing platforms generate long reads that can produce complete genome assemblies, but the sequencing is more expensive and error-prone. There is significant interest in combining data from these complementary sequencing technologies to generate more accurate “hybrid” assemblies. However, few tools exist that truly leverage the benefits of both types of data, namely the accuracy of short reads and the structural resolving power of long reads. Here we present Unicycler, a new tool for assembling bacterial genomes from a combination of short and long reads, which produces assemblies that are accurate, complete and cost-effective. Unicycler builds an initial assembly graph from short reads using the de novo assembler SPAdes and then simplifies the graph using information from short and long reads. Unicycler uses a novel semi-global aligner to align long reads to the assembly graph. Tests on both synthetic and real reads show Unicycler can assemble larger contigs with fewer misassemblies than other hybrid assemblers, even when long-read depth and accuracy are low. Unicycler is open source (GPLv3) and available at github.com/rrwick/Unicycler.
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                Author and article information

                Contributors
                Role: Data curationRole: Formal analysisRole: InvestigationRole: VisualizationRole: Writing – original draftRole: Writing – review and editing
                Role: InvestigationRole: MethodologyRole: SoftwareRole: Writing – review and editing
                Role: InvestigationRole: Writing – review and editing
                Role: Data curationRole: Formal analysisRole: InvestigationRole: Writing – review and editing
                Role: Data curationRole: InvestigationRole: Writing – review and editing
                Role: Investigation
                Role: Data curationRole: InvestigationRole: Writing – review and editing
                Role: Formal analysisRole: Software
                Role: InvestigationRole: Software
                Role: InvestigationRole: MethodologyRole: Writing – review and editing
                Role: Data curationRole: InvestigationRole: Writing – review and editing
                Role: ConceptualizationRole: SoftwareRole: Writing – review and editing
                Role: ConceptualizationRole: Formal analysisRole: MethodologyRole: SoftwareRole: SupervisionRole: Writing – review and editing
                Role: ConceptualizationRole: Data curationRole: Funding acquisitionRole: InvestigationRole: ResourcesRole: SupervisionRole: VisualizationRole: 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
                19 September 2023
                19 September 2023
                : 11
                : 5
                : e02084-23
                Affiliations
                [1 ] Stead Family Department of Pediatrics, University of Iowa Carver College of Medicine; , Iowa City, Iowa, USA
                [2 ] Children’s Hospital of Philadelphia; , Philadelphia, Pennsylvania, USA
                [3 ] Perelman School of Medicine, University of Pennsylvania; , Philadelphia, Pennsylvania, USA
                [4 ] Department of Pathology, University of Iowa Carver College of Medicine; , Iowa City, lowa, USA
                [5 ] Department of Internal Medicine, University of Iowa Carver College of Medicine; , Iowa City, lowa, USA
                [6 ] State Hygienic Laboratory at the University of Iowa; , Coralville, lowa, USA
                [7 ] NIH Clinical Center; , Bethesda, Maryland, USA
                [8 ] Institute for Comparative Genomics, American Museum of Natural History; , New York, New York, USA
                University of Pittsburgh; , Pittsburgh, Pennsylvania, USA
                Author notes
                Address correspondence to Anthony J. Fischer, anthony-fischer@ 123456uiowa.edu

                The authors declare no conflict of interest.

                Author information
                https://orcid.org/0000-0002-7179-6400
                Article
                02084-23 spectrum.02084-23
                10.1128/spectrum.02084-23
                10581212
                37724867
                54d35964-7c68-4cbb-96f4-aa45a6532f01
                Copyright © 2023 Pitcher et al.

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

                History
                : 18 May 2023
                : 10 August 2023
                Page count
                supplementary-material: 1, authors: 14, Figures: 4, Tables: 3, References: 58, Pages: 17, Words: 8831
                Funding
                Funded by: HHS | NIH | National Heart, Lung, and Blood Institute (NHLBI);
                Award ID: K08 HL136927
                Award Recipient :
                Funded by: HHS | NIH | National Center for Advancing Translational Sciences (NCATS);
                Award ID: UL1TR002537
                Award Recipient :
                Funded by: HHS | NIH | National Institute of Allergy and Infectious Diseases (NIAID);
                Award ID: 1R01AI137526-01
                Award Recipient :
                Funded by: Cystic Fibrosis Foundation (CFF);
                Award ID: FISCHE20A0‐KB
                Award ID: FISCHE21GO
                Award ID: STOLTZ19R0
                Award Recipient :
                Funded by: National Science Foundation (NSF);
                Award ID: 1925590
                Award Recipient :
                Funded by: HHS | Centers for Disease Control and Prevention (CDC);
                Award ID: Advanced Molecular Detection, Epidemiology, and Laboratory Capacity Cooperative Agreement
                Award Recipient :
                Categories
                Research Article
                clinical-microbiology, Clinical Microbiology
                Custom metadata
                September/October 2023

                staphylococcus aureus,linezolid,mrsa,ribosomal rna,hypermutation

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