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      Colonization with Staphylococcus aureus and Klebsiella pneumoniae causes infections in a Vietnamese intensive care unit

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          Abstract

          Pre-existing colonization with Staphylococcus aureus or Klebsiella pneumoniae has been found to increase the risk of infection in intensive care patients. We previously conducted a longitudinal study to characterize colonization of these two organisms in patients admitted to intensive care in a hospital in southern Vietnam. Here, using genomic and phylogenetic analyses, we aimed to assess the contribution these colonizing organisms made to infections. We found that in the majority of patients infected with S. aureus or K. pneumoniae , the sequence type of the disease-causing (infecting) isolate was identical to that of corresponding colonizing organisms in the respective patient. Further in-depth analysis revealed that in patients infected by S. aureus ST188 and by K. pneumoniae ST17, ST23, ST25 and ST86, the infecting isolate was closely related to and exhibited limited genetic variation relative to pre-infection colonizing isolates. Multidrug-resistant S. aureus ST188 was identified as the predominant agent of colonization and infection. Colonization and infection by K. pneumoniae were characterized by organisms with limited antimicrobial resistance profiles but extensive repertoires of virulence genes. Our findings augment the understanding of the link between bacterial colonization and infection in a low-resource setting, and could facilitate the development of novel evidence-based approaches to prevent and treat infections in high-risk patients in intensive care.

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          Most cited references72

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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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            The Sequence Alignment/Map format and SAMtools

            Summary: The Sequence Alignment/Map (SAM) format is a generic alignment format for storing read alignments against reference sequences, supporting short and long reads (up to 128 Mbp) produced by different sequencing platforms. It is flexible in style, compact in size, efficient in random access and is the format in which alignments from the 1000 Genomes Project are released. SAMtools implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments. Availability: http://samtools.sourceforge.net Contact: rd@sanger.ac.uk
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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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                Author and article information

                Journal
                Microb Genom
                Microb Genom
                mgen
                mgen
                Microbial Genomics
                Microbiology Society
                2057-5858
                February 2021
                27 January 2021
                27 January 2021
                : 7
                : 2
                : 000514
                Affiliations
                [ 1] The Hospital for Tropical Diseases , Ho Chi Minh City, Vietnam
                [ 2] Oxford University Clinical Research Unit , Ho Chi Minh City, Vietnam
                [ 3] departmentCentre for Tropical Medicine and Global Health , Nuffield Department of Clinical Medicine, Oxford University , Oxford, UK
                [ 4] departmentCambridge Institute of Therapeutic Immunology & Infectious Disease (CITIID) , University of Cambridge , Cambridge, UK
                Author notes
                *Correspondence: Hao Chung The, haoct@ 123456oucru.org
                Author information
                https://orcid.org/0000-0001-7029-9210
                https://orcid.org/0000-0003-0529-2228
                https://orcid.org/0000-0003-4668-1019
                https://orcid.org/0000-0002-4028-4074
                Article
                000514
                10.1099/mgen.0.000514
                8208697
                33502303
                f6291143-41c9-4c9c-8b4c-17162a25e5c7
                © 2021 The Authors

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

                History
                : 26 August 2020
                : 21 December 2020
                Funding
                Funded by: Wellcome Trust
                Award ID: 215515/Z/19/Z
                Award Recipient : StephenBaker
                Funded by: Wellcome Trust
                Award ID: 218726/Z/19/Z
                Award Recipient : HaoChung The
                Categories
                Research Article
                Pathogens and Epidemiology
                Custom metadata
                0

                colonization,hospital-acquired infections,hypervirulent klebsiella pneumoniae,intra-patient diversity,staphylococcus aureus

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