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      Genomic Surveillance of Invasive Meningococcal Disease During a National MenW Outbreak in Australia, 2017–2018

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          Abstract

          Background

          In Australia, invasive meningococcal disease (IMD) incidence rapidly increased between 2014 and 2017 due to rising serogroup W (MenW) and MenY infections. We aimed to better understand the genetic diversity of IMD during 2017 and 2018 using whole genome sequencing data.

          Methods

          Whole genome sequencing data from 440 Australian IMD isolates collected during 2017 and 2018 and 1737 international MenW:CC11 isolates collected in Europe, Africa, Asia, North America, and South America between 1974 and 2020 were used in phylogenetic analyses; genetic relatedness was determined from single-nucleotide polymorphisms.

          Results

          Australian isolates were as follows: 181 MenW (41%), 144 MenB (33%), 88 MenY (20%), 16 MenC (4%), 1 MenW/Y (0.2%), and 10 nongenogroupable (2%). Eighteen clonal complexes (CCs) were identified, and 3 (CC11, CC23, CC41/44) accounted for 78% of isolates (343/440). These CCs were associated with specific serogroups: CC11 (n = 199) predominated among MenW (n = 181) and MenC (n = 15), CC23 (n = 80) among MenY (n = 78), and CC41/44 (n = 64) among MenB (n = 64). MenB isolates were highly diverse, MenY were intermediately diverse, and MenW and MenC isolates demonstrated the least genetic diversity. Thirty serogroup and CC-specific genomic clusters were identified. International CC11 comparison revealed diversification of MenW in Australia.

          Conclusions

          Whole genome sequencing comprehensively characterized Australian IMD isolates, indexed their genetic variability, provided increased within-CC resolution, and elucidated the evolution of CC11 in Australia.

          Abstract

          Neisseria meningitidis is a pathogen of public health importance and a leading cause of bacterial meningitis and septicemia worldwide. This research provides a comprehensive characterization of invasive meningococcal disease isolates collected in Australia during 2017 and 2018 based on whole genome sequencing data.

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          Most cited references50

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          IQ-TREE 2: New Models and Efficient Methods for Phylogenetic Inference in the Genomic Era

          Abstract IQ-TREE (http://www.iqtree.org, last accessed February 6, 2020) is a user-friendly and widely used software package for phylogenetic inference using maximum likelihood. Since the release of version 1 in 2014, we have continuously expanded IQ-TREE to integrate a plethora of new models of sequence evolution and efficient computational approaches of phylogenetic inference to deal with genomic data. Here, we describe notable features of IQ-TREE version 2 and highlight the key advantages over other software.
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            Interactive Tree Of Life (iTOL) v5: an online tool for phylogenetic tree display and annotation

            The Interactive Tree Of Life ( https://itol.embl.de ) is an online tool for the display, manipulation and annotation of phylogenetic and other trees. It is freely available and open to everyone. iTOL version 5 introduces a completely new tree display engine, together with numerous new features. For example, a new dataset type has been added (MEME motifs), while annotation options have been expanded for several existing ones. Node metadata display options have been extended and now also support non-numerical categorical values, as well as multiple values per node. Direct manual annotation is now available, providing a set of basic drawing and labeling tools, allowing users to draw shapes, labels and other features by hand directly onto the trees. Support for tree and dataset scales has been extended, providing fine control over line and label styles. Unrooted tree displays can now use the equal-daylight algorithm, proving a much greater display clarity. The user account system has been streamlined and expanded with new navigation options and currently handles >1 million trees from >70 000 individual users. Graphical Abstract iTOL: an online tool for the tree display and annotation.
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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
                Journal
                Open Forum Infect Dis
                Open Forum Infect Dis
                ofid
                Open Forum Infectious Diseases
                Oxford University Press (US )
                2328-8957
                June 2024
                02 May 2024
                02 May 2024
                : 11
                : 6
                : ofae249
                Affiliations
                Microbiological Diagnostic Unit Public Health Laboratory at The Peter Doherty Institute for Infection and Immunity, The University of Melbourne , Melbourne, Australia
                Department of Microbiology and Immunology at The Peter Doherty Institute for Infection and Immunity, The University of Melbourne , Melbourne, Australia
                Microbiological Diagnostic Unit Public Health Laboratory at The Peter Doherty Institute for Infection and Immunity, The University of Melbourne , Melbourne, Australia
                Department of Microbiology and Immunology at The Peter Doherty Institute for Infection and Immunity, The University of Melbourne , Melbourne, Australia
                Microbiological Diagnostic Unit Public Health Laboratory at The Peter Doherty Institute for Infection and Immunity, The University of Melbourne , Melbourne, Australia
                Department of Microbiology and Immunology at The Peter Doherty Institute for Infection and Immunity, The University of Melbourne , Melbourne, Australia
                Microbiological Diagnostic Unit Public Health Laboratory at The Peter Doherty Institute for Infection and Immunity, The University of Melbourne , Melbourne, Australia
                Public Health Microbiology, Forensic and Scientific Services, Queensland Department of Health , Brisbane, Australia
                Department of Clinical Microbiology and Infectious Diseases, Canberra Health Services, Australian National University Medical School , Canberra, Australia
                Department of Clinical Microbiology and Infectious Diseases, Canberra Health Services, Australian National University Medical School , Canberra, Australia
                Department of Microbiology and Infectious Diseases, Royal Hobart Hospital, Tasmanian School of Medicine, College of Health and Medicine, University of Tasmania , Hobart, Australia
                Department of Microbiology and Infectious Diseases, Royal Hobart Hospital, Tasmanian School of Medicine, College of Health and Medicine, University of Tasmania , Hobart, Australia
                Marshall Centre for Infectious Diseases Research and Training, School of Biomedical Sciences, University of Western Australia, Perth , Australia
                Marshall Centre for Infectious Diseases Research and Training, School of Biomedical Sciences, University of Western Australia, Perth , Australia
                PathWest Laboratory Medicine, Queen Elizabeth II Medical Centre , Nedlands, Australia
                Royal Darwin Hospital Pathology , Darwin, Australia
                Royal Darwin Hospital Pathology , Darwin, Australia
                SA Pathology , Adelaide, Australia
                SA Pathology , Adelaide, Australia
                Victorian Infectious Diseases Reference Laboratory, Royal Melbourne Hospital at the Peter Doherty Institute for Infection and Immunity , Melbourne, Australia
                Department of Infectious Diseases at The Peter Doherty Institute for Infection and Immunity, The University of Melbourne , Melbourne, Australia
                Victorian Infectious Diseases Reference Laboratory, Royal Melbourne Hospital at the Peter Doherty Institute for Infection and Immunity , Melbourne, Australia
                Department of Infectious Diseases at The Peter Doherty Institute for Infection and Immunity, The University of Melbourne , Melbourne, Australia
                New South Wales Health Pathology, Microbiology Randwick, The Prince of Wales Hospital , Sydney, Australia
                Public Health Microbiology, Forensic and Scientific Services, Queensland Department of Health , Brisbane, Australia
                Microbiological Diagnostic Unit Public Health Laboratory at The Peter Doherty Institute for Infection and Immunity, The University of Melbourne , Melbourne, Australia
                Department of Microbiology and Immunology at The Peter Doherty Institute for Infection and Immunity, The University of Melbourne , Melbourne, Australia
                Centre for Pathogen Genomics, Department of Microbiology and Immunology, University of Melbourne , Melbourne, Australia
                Microbiological Diagnostic Unit Public Health Laboratory at The Peter Doherty Institute for Infection and Immunity, The University of Melbourne , Melbourne, Australia
                Department of Microbiology and Immunology at The Peter Doherty Institute for Infection and Immunity, The University of Melbourne , Melbourne, Australia
                Author notes

                A. V. J., B. P. H., and P. A. are joint final authors.

                Correspondence: Amy V. Jennison, PhD, Public Health Microbiology, Forensic and Scientific Services, Queensland Department of Health, 39 Kessels Road, Coopers Plains, Queensland 4108, Australia ( amy.jennison@ 123456health.qld.gov.au ). Benjamin P. Howden, PhD, Department of Microbiology and Immunology at the Peter Doherty Institute for Infection and Immunity, 792 Elizabeth Street, Melbourne 3000, Australia ( bhowden@ 123456unimelb.edu.au ).

                Potential conflicts of interest . All authors: No reported conflicts.

                Author information
                https://orcid.org/0000-0003-2006-5277
                Article
                ofae249
                10.1093/ofid/ofae249
                11161896
                38854393
                6f6461fc-c5ef-4390-8322-22976c94c35d
                © The Author(s) 2024. Published by Oxford University Press on behalf of Infectious Diseases Society of America.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence ( https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.

                History
                : 21 November 2023
                : 29 April 2024
                : 30 April 2024
                : 08 June 2024
                Page count
                Pages: 9
                Funding
                Funded by: National Health and Medical Research Council, DOI 10.13039/501100000925;
                Funded by: Australia partnership;
                Award ID: APP1149991
                Award ID: APP1196103
                Funded by: Australian Government Office of Health Protection;
                Categories
                Epidemiology and Disease Surveillance
                Major Article
                AcademicSubjects/MED00290

                genomic epidemiology,meningococcal disease,neisseria meningitidis,pathogen genomics,public health

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