49
views
0
recommends
+1 Recommend
1 collections
    1
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Global population structure of the Serratia marcescens complex and identification of hospital-adapted lineages in the complex

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Serratia marcescens is an important nosocomial pathogen causing various opportunistic infections, such as urinary tract infections, bacteremia and sometimes even hospital outbreaks. The recent emergence and spread of multidrug-resistant (MDR) strains further pose serious threats to global public health. This bacterium is also ubiquitously found in natural environments, but the genomic differences between clinical and environmental isolates are not clear, including those between S. marcescens and its close relatives. In this study, we performed a large-scale genome analysis of S. marcescens and closely related species (referred to as the ‘ S. marcescens complex’), including more than 200 clinical and environmental strains newly sequenced here. Our analysis revealed their phylogenetic relationships and complex global population structure, comprising 14 clades, which were defined based on whole-genome average nucleotide identity. Clades 10, 11, 12 and 13 corresponded to S. nematodiphila , S. marcescens sensu stricto, S. ureilytica and S. surfactantfaciens, respectively. Several clades exhibited distinct genome sizes and GC contents and a negative correlation of these genomic parameters was observed in each clade, which was associated with the acquisition of mobile genetic elements (MGEs), but different types of MGEs, plasmids or prophages (and other integrative elements), were found to contribute to the generation of these genomic variations. Importantly, clades 1 and 2 mostly comprised clinical or hospital environment isolates and accumulated a wide range of antimicrobial resistance genes, including various extended-spectrum β-lactamase and carbapenemase genes, and fluoroquinolone target site mutations, leading to a high proportion of MDR strains. This finding suggests that clades 1 and 2 represent hospital-adapted lineages in the S. marcescens complex although their potential virulence is currently unknown. These data provide an important genomic basis for reconsidering the classification of this group of bacteria and reveal novel insights into their evolution, biology and differential importance in clinical settings.

          Related collections

          Most cited references62

          • Record: found
          • Abstract: not found
          • Article: not found

          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability

            We report a major update of the MAFFT multiple sequence alignment program. This version has several new features, including options for adding unaligned sequences into an existing alignment, adjustment of direction in nucleotide alignment, constrained alignment and parallel processing, which were implemented after the previous major update. This report shows actual examples to explain how these features work, alone and in combination. Some examples incorrectly aligned by MAFFT are also shown to clarify its limitations. We discuss how to avoid misalignments, and our ongoing efforts to overcome such limitations.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              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.
                Bookmark

                Author and article information

                Journal
                Microb Genom
                Microb Genom
                mgen
                mgen
                Microbial Genomics
                Microbiology Society
                2057-5858
                2022
                22 March 2022
                22 March 2022
                : 8
                : 3
                : 000793
                Affiliations
                [ 1] departmentDepartment of Bacteriology , Graduate School of Medical Sciences, Kyushu University, Higashi-ku , Fukuoka, 812-8582, Japan
                [ 2] departmentDepartment of Cardiovascular Surgery , Graduate School of Medical Sciences, Kyushu University, Higashi-ku , Fukuoka, 812-8582, Japan
                [ 3] departmentDivision of Microbiology , Department of Infectious Medicine, Kurume University School of Medicine, Asahi-machi , Kurume, Fukuoka, 830-0011, Japan
                [ 4] departmentFaculty of Agriculture , University of Miyazaki , Miyazaki, Miyazaki, 889-8192, Japan
                [ 5] departmentDepartment of Microbiology , Graduate School of Medicine, Kyoto University, Sakyou-ku , Kyoto, 6060-8501, Japan
                [ 6] departmentGraduate School of Bioscience and Biotechnology , Tokyo Institute of Technology, Meguro-ku , Tokyo, 152-8550, Japan
                [ 7] departmentIRSD , INSERM, ENVT, INRAE, Université de Toulouse, UPS , Toulouse, France
                [ 8] departmentCHU Toulouse , Hôpital Purpan, Service de Bactériologie-Hygiène , Toulouse, France
                [ 9] Kyoto Pharmaceutical University, Yamashiro , Kyoto, 607-8414, Japan
                [ ]Present address: Department of Frontier Research and Development, Kazusa DNA Research Institute, Kisarazu, Chiba, 292-0818, Japan
                [ §]Present address: Anicon Insurance, Inc., 8-17-1 Nishi-shinjuku, Shinjuku, Tokyo, 160-0023, Japan
                Author notes
                [†]

                These authors contributed equally to this work

                *Correspondence: Tetsuya Hayashi, hayashi.tetsuya.235@ 123456m.kyushu-u.ac.jp

                The raw sequences obtained in this study have been deposited in GenBank/EMBL/DDBJ under the BioProject accession number PRJDB10568 and Sequence Read Archive (SRA) accession numbers DRR253307 to DRR253531.

                Author information
                https://orcid.org/0000-0002-2781-5125
                https://orcid.org/0000-0001-9957-4941
                https://orcid.org/0000-0002-8500-9359
                https://orcid.org/0000-0001-5994-8582
                https://orcid.org/0000-0001-5383-5499
                https://orcid.org/0000-0003-3826-7520
                https://orcid.org/0000-0001-7544-7032
                https://orcid.org/0000-0002-6113-557X
                https://orcid.org/0000-0002-3017-0081
                https://orcid.org/0000-0002-9800-6843
                https://orcid.org/0000-0001-6366-7177
                Article
                000793
                10.1099/mgen.0.000793
                9176281
                35315751
                fad9fc91-3de7-4859-9128-7f2dfdeb2c19
                © 2022 The Authors

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

                History
                : 14 October 2021
                : 04 February 2022
                Funding
                Funded by: Ministry of Education, Culture, Sports, Science and Technology
                Award Recipient : DeboraSatie Nagano
                Funded by: KAKENHI from Japan Society for the Promotion of Science
                Award ID: 18K16175
                Award Recipient : TetsuyaHayashi
                Categories
                Research Articles
                Evolution and Responses to Interventions
                Custom metadata
                0

                serratia marcescens complex,genomics,population structure,hospital-adapted lineage,antimicrobial resistance

                Comments

                Comment on this article