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      Characterization of the Type I Restriction Modification System Broadly Conserved among Group A Streptococci

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          ABSTRACT

          Although prokaryotic DNA methylation investigations have long focused on immunity against exogenous DNA, it has been recently recognized that DNA methylation impacts gene expression and phase variation in Streptococcus pneumoniae and Streptococcus suis. A comprehensive analysis of DNA methylation is lacking for beta-hemolytic streptococci, and thus we sought to examine DNA methylation in the major human pathogen group A Streptococcus (GAS). Using a database of 224 GAS genomes encompassing 80 emm types, we found that nearly all GAS strains encode a type I restriction modification (RM) system that lacks the hsdS′ alleles responsible for impacting gene expression in S. pneumoniae and S. suis. The GAS type I system is located on the core chromosome, while sporadically present type II orphan methyltransferases were identified on prophages. By combining single-molecule real-time (SMRT) analyses of 10 distinct emm types along with phylogenomics of 224 strains, we were able to assign 13 methylation patterns to the GAS population. Inactivation of the type I RM system, occurring either naturally through phage insertion or through laboratory-induced gene deletion, abrogated DNA methylation detectable via either SMRT or MinION sequencing. Contrary to a previous report, inactivation of the type I system did not impact transcript levels of the gene ( mga) encoding the key multigene activator protein (Mga) or Mga-regulated genes. Inactivation of the type I system significantly increased plasmid transformation rates. These data delineate the breadth of the core chromosomal type I RM system in the GAS population and clarify its role in immunity rather than impacting Mga regulon expression.

          IMPORTANCE The advent of whole-genome approaches capable of detecting DNA methylation has markedly expanded appreciation of the diverse roles of epigenetic modification in prokaryotic physiology. For example, recent studies have suggested that DNA methylation impacts gene expression in some streptococci. The data described herein are from the first systematic analysis of DNA methylation in a beta-hemolytic streptococcus and one of the few analyses to comprehensively characterize DNA methylation across hundreds of strains of the same bacterial species. We clarify that DNA methylation in group A Streptococcus (GAS) is primarily due to a type I restriction modification (RM) system present in the core genome and does not impact mga-regulated virulence gene expression, but does impact immunity against exogenous DNA. The identification of the DNA motifs recognized by each type I RM system may assist with optimizing methods for GAS genetic manipulation and help us understand how bacterial pathogens acquire exogenous DNA elements.

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          Unicycler: Resolving bacterial genome assemblies from short and long sequencing reads

          The Illumina DNA sequencing platform generates accurate but short reads, which can be used to produce accurate but fragmented genome assemblies. Pacific Biosciences and Oxford Nanopore Technologies DNA sequencing platforms generate long reads that can produce complete genome assemblies, but the sequencing is more expensive and error-prone. There is significant interest in combining data from these complementary sequencing technologies to generate more accurate “hybrid” assemblies. However, few tools exist that truly leverage the benefits of both types of data, namely the accuracy of short reads and the structural resolving power of long reads. Here we present Unicycler, a new tool for assembling bacterial genomes from a combination of short and long reads, which produces assemblies that are accurate, complete and cost-effective. Unicycler builds an initial assembly graph from short reads using the de novo assembler SPAdes and then simplifies the graph using information from short and long reads. Unicycler uses a novel semi-global aligner to align long reads to the assembly graph. Tests on both synthetic and real reads show Unicycler can assemble larger contigs with fewer misassemblies than other hybrid assemblers, even when long-read depth and accuracy are low. Unicycler is open source (GPLv3) and available at github.com/rrwick/Unicycler.
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            NCBI prokaryotic genome annotation pipeline

            Recent technological advances have opened unprecedented opportunities for large-scale sequencing and analysis of populations of pathogenic species in disease outbreaks, as well as for large-scale diversity studies aimed at expanding our knowledge across the whole domain of prokaryotes. To meet the challenge of timely interpretation of structure, function and meaning of this vast genetic information, a comprehensive approach to automatic genome annotation is critically needed. In collaboration with Georgia Tech, NCBI has developed a new approach to genome annotation that combines alignment based methods with methods of predicting protein-coding and RNA genes and other functional elements directly from sequence. A new gene finding tool, GeneMarkS+, uses the combined evidence of protein and RNA placement by homology as an initial map of annotation to generate and modify ab initio gene predictions across the whole genome. Thus, the new NCBI's Prokaryotic Genome Annotation Pipeline (PGAP) relies more on sequence similarity when confident comparative data are available, while it relies more on statistical predictions in the absence of external evidence. The pipeline provides a framework for generation and analysis of annotation on the full breadth of prokaryotic taxonomy. For additional information on PGAP see https://www.ncbi.nlm.nih.gov/genome/annotation_prok/ and the NCBI Handbook, https://www.ncbi.nlm.nih.gov/books/NBK174280/.
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              Jalview Version 2—a multiple sequence alignment editor and analysis workbench

              Summary: Jalview Version 2 is a system for interactive WYSIWYG editing, analysis and annotation of multiple sequence alignments. Core features include keyboard and mouse-based editing, multiple views and alignment overviews, and linked structure display with Jmol. Jalview 2 is available in two forms: a lightweight Java applet for use in web applications, and a powerful desktop application that employs web services for sequence alignment, secondary structure prediction and the retrieval of alignments, sequences, annotation and structures from public databases and any DAS 1.53 compliant sequence or annotation server. Availability: The Jalview 2 Desktop application and JalviewLite applet are made freely available under the GPL, and can be downloaded from www.jalview.org Contact: g.j.barton@dundee.ac.uk
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                Author and article information

                Contributors
                Role: Editor
                Journal
                mSphere
                mSphere
                msphere
                mSphere
                American Society for Microbiology (1752 N St., N.W., Washington, DC )
                2379-5042
                17 November 2021
                Nov-Dec 2021
                17 November 2021
                : 6
                : 6
                : e00799-21
                Affiliations
                [a ] Department of Infectious Diseases Infection Control and Employee Health, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
                [b ] Department of Genomic Medicine, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
                [c ] JHMI Transcriptomics and Deep Sequencing Core, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
                [d ] Center for Infectious Diseases, Department of Epidemiology, Human Genetics and Environmental Sciences, UTHealth School of Public Health at Houston, University of Texas Health Science Center McGovern Medical School, Houston, Texas, USA
                [e ] Division of Infectious Diseases, Department of Pediatrics, University of Texas Health Science Center McGovern Medical School, Houston, Texas, USA
                [f ] Center for Antimicrobial Resistance and Microbial Genomics, University of Texas Health Science Center McGovern Medical School, Houston, Texas, USA
                [g ] Department of Veterinary Pathobiology, Texas A&M University, College Station, Texas, USA
                [h ] Interdisciplinary Program in Genetics, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, Texas, USA
                University of Nebraska Medical Center
                Author information
                https://orcid.org/0000-0001-7328-0443
                https://orcid.org/0000-0003-1081-254X
                https://orcid.org/0000-0003-2949-7818
                https://orcid.org/0000-0002-6402-4269
                https://orcid.org/0000-0001-9721-263X
                Article
                mSphere00799-21 msphere.00799-21
                10.1128/mSphere.00799-21
                8597746
                34787444
                aa1b8ab1-fe40-40d1-8fdd-95c7c75fa8cf
                Copyright © 2021 DebRoy et al.

                This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.

                History
                : 23 September 2021
                : 28 October 2021
                Page count
                supplementary-material: 9, Figures: 5, Tables: 3, Equations: 0, References: 73, Pages: 17, Words: 10980
                Funding
                Funded by: HHS | National Institutes of Health (NIH), FundRef https://doi.org/10.13039/100000002;
                Award ID: 5R21AI132920-02
                Award Recipient :
                Categories
                Research Article
                computational-biology, Computational Biology
                Custom metadata
                November/December 2021

                streptococcus pyogenes,type i rm system,immunity
                streptococcus pyogenes, type i rm system, immunity

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