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      Antibiotic-resistant organisms establish reservoirs in new hospital built environments and are related to patient blood infection isolates

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          Abstract

          Background

          Healthcare-associated infections due to antibiotic-resistant organisms pose an acute and rising threat to critically ill and immunocompromised patients. To evaluate reservoirs of antibiotic-resistant organisms as a source of transmission to patients, we interrogated isolates from environmental surfaces, patient feces, and patient blood infections from an established and a newly built intensive care unit.

          Methods

          We used selective culture to recover 829 antibiotic-resistant organisms from 1594 environmental and 72 patient fecal samples, in addition to 81 isolates from blood cultures. We conducted antibiotic susceptibility testing and short- and long-read whole genome sequencing on recovered isolates.

          Results

          Antibiotic-resistant organism burden is highest in sink drains compared to other surfaces. Pseudomonas aeruginosa is the most frequently cultured organism from surfaces in both intensive care units. From whole genome sequencing, different lineages of P. aeruginosa dominate in each unit; one P. aeruginosa lineage of ST1894 is found in multiple sink drains in the new intensive care unit and 3.7% of blood isolates analyzed, suggesting movement of this clone between the environment and patients.

          Conclusions

          These results highlight antibiotic-resistant organism reservoirs in hospital built environments as an important target for infection prevention in hospitalized patients.

          Plain Language Summary

          Patients in hospitals often have a suppressed immune system, putting them at increased risk of infection by bacteria that are resistant to antibiotics, some of which may come from sources in the hospital environment. We sampled multiple different surfaces in an established and a newly built intensive care unit and collected patient infection samples. We tested bacteria in these samples for their resistance to antibiotics and sequenced the genetic code of the bacteria to identify relationships between environmental and patient infections. We found the most antibiotic resistant organisms in hospital sink drains. Our sequencing data revealed strains of a certain kind of bacteria could form reservoirs and survive in sink drains and also cause patient infections. These results highlight the importance of removing these antibiotic resistant organism reservoirs to prevent infections.

          Abstract

          Sukhum, Newcomer et al. evaluate reservoirs of antibiotic-resistant organisms within the built environment and patient samples from an established and a newly-built intensive care unit. The authors demonstrate colonization of sink drains and other sites and show relatedness between environmental reservoirs and patient infections.

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          Most cited references85

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          Trimmomatic: a flexible trimmer for Illumina sequence data

          Motivation: Although many next-generation sequencing (NGS) read preprocessing tools already existed, we could not find any tool or combination of tools that met our requirements in terms of flexibility, correct handling of paired-end data and high performance. We have developed Trimmomatic as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data. Results: The value of NGS read preprocessing is demonstrated for both reference-based and reference-free tasks. Trimmomatic is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested. Availability and implementation: Trimmomatic is licensed under GPL V3. It is cross-platform (Java 1.5+ required) and available at http://www.usadellab.org/cms/index.php?page=trimmomatic Contact: usadel@bio1.rwth-aachen.de Supplementary information: Supplementary data are available at Bioinformatics online.
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            SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing.

            The lion's share of bacteria in various environments cannot be cloned in the laboratory and thus cannot be sequenced using existing technologies. A major goal of single-cell genomics is to complement gene-centric metagenomic data with whole-genome assemblies of uncultivated organisms. Assembly of single-cell data is challenging because of highly non-uniform read coverage as well as elevated levels of sequencing errors and chimeric reads. We describe SPAdes, a new assembler for both single-cell and standard (multicell) assembly, and demonstrate that it improves on the recently released E+V-SC assembler (specialized for single-cell data) and on popular assemblers Velvet and SoapDeNovo (for multicell data). SPAdes generates single-cell assemblies, providing information about genomes of uncultivatable bacteria that vastly exceeds what may be obtained via traditional metagenomics studies. SPAdes is available online ( http://bioinf.spbau.ru/spades ). It is distributed as open source software.
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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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                Author and article information

                Contributors
                cburnham@wustl.edu
                dantas@wustl.edu
                j.kwon@wustl.edu
                Journal
                Commun Med (Lond)
                Commun Med (Lond)
                Communications Medicine
                Nature Publishing Group UK (London )
                2730-664X
                1 June 2022
                1 June 2022
                2022
                : 2
                : 62
                Affiliations
                [1 ]GRID grid.4367.6, ISNI 0000 0001 2355 7002, The Edison Family Center for Genome Sciences and Systems Biology, , Washington University School of Medicine in St Louis, ; St Louis, MO USA
                [2 ]GRID grid.4367.6, ISNI 0000 0001 2355 7002, Department of Pathology and Immunology, , Washington University School of Medicine in St Louis, ; St Louis, MO USA
                [3 ]GRID grid.4367.6, ISNI 0000 0001 2355 7002, Department of Biomedical Engineering, , Washington University in St Louis, ; St Louis, MO USA
                [4 ]GRID grid.4367.6, ISNI 0000 0001 2355 7002, Department of Medicine, , Washington University School of Medicine in St Louis, ; St Louis, MO USA
                [5 ]GRID grid.4367.6, ISNI 0000 0001 2355 7002, Department of Molecular Microbiology, , Washington University School of Medicine in St Louis, ; St Louis, MO USA
                [6 ]GRID grid.4367.6, ISNI 0000 0001 2355 7002, Department of Pediatrics, , Washington University School of Medicine in St Louis, ; St Louis, MO USA
                Author information
                http://orcid.org/0000-0002-2028-0359
                http://orcid.org/0000-0002-7025-0246
                http://orcid.org/0000-0003-0455-8370
                http://orcid.org/0000-0002-7824-6276
                Article
                124
                10.1038/s43856-022-00124-5
                9160058
                35664456
                72989545-938b-4f96-8823-8453a1b3a5c8
                © The Author(s) 2022

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 5 November 2021
                : 6 May 2022
                Funding
                Funded by: FundRef https://doi.org/10.13039/100000133, U.S. Department of Health & Human Services | Agency for Healthcare Research and Quality (AHRQ);
                Award ID: R01HS027621
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100000060, U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases (NIAID);
                Award ID: U01AI123394
                Award ID: 1K23AI137321
                Award Recipient :
                Funded by: U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases (NIAID)
                Funded by: FundRef https://doi.org/10.13039/100007338, Foundation for Barnes-Jewish Hospital (Barnes-Jewish Hospital Foundation);
                Award ID: 5102
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100006108, U.S. Department of Health & Human Services | NIH | National Center for Advancing Translational Sciences (NCATS);
                Award ID: 4462
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s) 2022

                comparative genomics,infectious-disease epidemiology,antimicrobial resistance,disease prevention,genetic variation

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