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      Variable resistance to zinc intoxication among Streptococcus agalactiae reveals a novel IS1381 insertion element within the zinc efflux transporter gene czcD

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          Abstract

          Streptococcus agalactiae, also known as group B Streptococcus, is an important human and animal pathogen. Zinc (Zn) is an essential trace element for normal bacterial physiology but intoxicates bacteria at high concentrations. Molecular systems for Zn detoxification exist in S. agalactiae, however the degree to which Zn detoxification may vary among different S. agalactiae isolates is not clear. We measured resistance to Zn intoxication in a diverse collection of clinical isolates of S. agalactiae by comparing the growth of the bacteria in defined conditions of Zn stress. We found significant differences in the ability of different S. agalactiae isolates to resist Zn intoxication; some strains such as S. agalactiae 18RS21 were able to survive and grow at 3.8-fold higher levels of Zn stress compared to other reference strains such as BM110 (6.4mM vs 1.68mM Zn as inhibitory, respectively). We performed in silico analysis of the available genomes of the S. agalactiae isolates used in this study to examine the sequence of czcD, which encodes an efflux protein for Zn that supports resistance in S. agalactiae. Interestingly, this revealed the presence of a mobile insertion sequence (IS) element, termed IS1381, in the 5′ region of czcD in S. agalactiae strain 834, which was hyper-resistant to Zn intoxication. Interrogating a wider collection of S. agalactiae genomes revealed identical placement of IS1381 in czcD in other isolates from the clonal-complex-19 (CC19) 19 lineage. Collectively, these results show a resistance spectrum among S. agalactiae isolates enables survival in varying degrees of Zn stress, and this phenotypic variability has implications for understanding bacterial survival in metal stress.

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          MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms.

          The Molecular Evolutionary Genetics Analysis (Mega) software implements many analytical methods and tools for phylogenomics and phylomedicine. Here, we report a transformation of Mega to enable cross-platform use on Microsoft Windows and Linux operating systems. Mega X does not require virtualization or emulation software and provides a uniform user experience across platforms. Mega X has additionally been upgraded to use multiple computing cores for many molecular evolutionary analyses. Mega X is available in two interfaces (graphical and command line) and can be downloaded from www.megasoftware.net free of charge.
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            Genome analysis of multiple pathogenic isolates of Streptococcus agalactiae: implications for the microbial "pan-genome".

            The development of efficient and inexpensive genome sequencing methods has revolutionized the study of human bacterial pathogens and improved vaccine design. Unfortunately, the sequence of a single genome does not reflect how genetic variability drives pathogenesis within a bacterial species and also limits genome-wide screens for vaccine candidates or for antimicrobial targets. We have generated the genomic sequence of six strains representing the five major disease-causing serotypes of Streptococcus agalactiae, the main cause of neonatal infection in humans. Analysis of these genomes and those available in databases showed that the S. agalactiae species can be described by a pan-genome consisting of a core genome shared by all isolates, accounting for approximately 80% of any single genome, plus a dispensable genome consisting of partially shared and strain-specific genes. Mathematical extrapolation of the data suggests that the gene reservoir available for inclusion in the S. agalactiae pan-genome is vast and that unique genes will continue to be identified even after sequencing hundreds of genomes.
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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
                Front Immunol
                Front Immunol
                Front. Immunol.
                Frontiers in Immunology
                Frontiers Media S.A.
                1664-3224
                26 May 2023
                2023
                : 14
                : 1174695
                Affiliations
                [1] 1 School of Pharmacy and Medical Sciences, Menzies Health Institute Queensland, Griffith University , Gold Coast, QLD, Australia
                [2] 2 Department of Medicine, University of Alabama at Birmingham , Birmingham, AL, United States
                Author notes

                Edited by: Jennifer Angeline Gaddy, Vanderbilt University Medical Center, United States

                Reviewed by: Mark Joseph Walker, The University of Queensland, Australia; Michelle Korir, Aurora University, United States; Steven Damo, Fisk University, United States

                *Correspondence: Glen C. Ulett, g.ulett@ 123456griffith.edu.au ; Matthew J. Sullivan, matthew.sullivan@ 123456uea.ac.uk

                †Present address: Matthew J. Sullivan, School of Biological Sciences, University of East Anglia, Norwich, United Kingdom

                ‡These authors have contributed equally to this work

                Article
                10.3389/fimmu.2023.1174695
                10251203
                37304277
                6438cbda-8e8f-48b8-ba25-99f3dfd66d30
                Copyright © 2023 Varghese, Goh, Desai, Acharya, Chee, Sullivan and Ulett

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 27 February 2023
                : 11 April 2023
                Page count
                Figures: 4, Tables: 0, Equations: 0, References: 47, Pages: 9, Words: 4742
                Funding
                This study was supported with an Ideas Grant from the National Health and Medical Research Council (2021475) to MS, KG and GU.
                Categories
                Immunology
                Brief Research Report
                Custom metadata
                Molecular Innate Immunity

                Immunology
                streptococcus agalactiae,metal ions,metallobiology,zinc efflux,czcd
                Immunology
                streptococcus agalactiae, metal ions, metallobiology, zinc efflux, czcd

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